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Title:
ASSIGNING AUTHORITY FOR ELECTRIC VEHICLE CHARGING
Document Type and Number:
WIPO Patent Application WO/2022/203940
Kind Code:
A1
Abstract:
A system (700) and method (720) for enabling a vehicle (710) utilizing electrical propulsion to selectively commence a re-charging session based on one or more variables determined by an assigning authority (1105) that is connected to the vehicle through a mobile network (1110) is disclosed herein. The system (1100) comprises an assigning authority engine (1105), a mobile device (110) for an electric vehicle (1000), and a charging station (715).

Inventors:
KENNEDY JOHN (US)
KOPCHINSKY SCOTT (US)
WOOD BRENDON (US)
SON DON (US)
GAROFALO MATT (US)
Application Number:
PCT/US2022/020822
Publication Date:
September 29, 2022
Filing Date:
March 17, 2022
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
PLATFORM SCIENCE INC (US)
International Classes:
B60L53/68
Foreign References:
US20130110296A12013-05-02
US20200329512A12020-10-15
US20170367142A12017-12-21
US20190255963A12019-08-22
Attorney, Agent or Firm:
CATANIA, Michael (US)
Download PDF:
Claims:
Claims

1. A system for determining the parameters of a charging session for an electric vehicle, the system comprising: an electric vehicle (EV); an EV charging station; a mobile communication device; and an assigning authority engine; wherein the assigning authority engine is in communication with the mobile communication device and the EV charging station, and wherein the assigning authority engine determines a time of charging for the EV and a target charging level based on a plurality of constraint factors.

2. The system according to claim 1 wherein a plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

3. The system according to claim 1 further comprising a secure communication network, wherein the assigning authority engine is in communication with the mobile communication device and the EV charging station over the secure communication network.

4. The system according to claim 1 wherein the assigning authority is configured to access and combine the at least one off-vehicle content and the on-vehicle data to produce a plurality of dynamic, temporal combinations of data elements and a plurality of instructions 5. The system according to claim 4 wherein the at least one off-vehicle source is at least one cloud source selected from the group comprising a public cloud source, a private cloud source, a hybrid cloud source, or a multi-cloud source.

6. The system according to claim 1 wherein the EV is at least one of a long-haul semi-truck, a bus, a sedan, a pick-up, a sports utility vehicle, a limousine, a sports car, a delivery truck, a van, or a mini-van k.

7. The system according to claim 1 wherein the assigning authority engine comprises a predetermined work assignment having a temporal event with a fixed start and completion based on at least one assignable boundary condition

8. The system according to claim 1 wherein an assigning authority for the assigning authority engine is performed by a person or persons, who have the appropriate authority and mechanisms to assign specific tasks and assets to a specific vehicle and vehicle operator or custodian, and to assign workflow assignments to same.

9. The system according to claim 1 wherein the mobile communication device comprises a processor, a graphical user interface, a memory, a plurality of sensors, a wireless transceiver and a mobile application

10. The system according to claim 1 wherein the EV charging station is in communication with the assigning authority engine through the mobile communication device.

11. The system according to claim 1 wherein the assigning authority engine accesses a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV. 12. The system according to claim 1 wherein the assigning authority engine determines an electric load on the EV charging station.

13. The system according to claim 1 wherein the assigning authority is configured to determine an initial state of charge and a charge rating of the EV charging station, wherein determining the time to full charge is based on the initial state of charge and the charge rating.

14. A method for determining the parameters of a charging session for an electric vehicle, the method comprising: determining at an assigning authority engine that an EV is plugged into an EV charging station; receiving at the assigning authority engine a plurality of constraint factors for charging of the EV; and determining a time of charging for the EV and a target charging level based on a plurality of constraint factors for the EV.

15. The method according to claim 14 wherein a plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

16. The method according to claim 14 wherein the assigning authority engine is in communication with the mobile communication device and the EV charging station over a secure communication network. 17. The method according to claim 14 wherein the assigning authority is configured to access and combine the at least one off-vehicle content and the on- vehicle data to produce a plurality of dynamic, temporal combinations of data elements and a plurality of instructions

18. The method according to claim 14 wherein the assigning authority engine is configured to access a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV.

19. The method according to claim 14 wherein the assigning authority engine is configured to determine an electric load on the EV charging station.

20. The method according to claim 14 wherein the assigning authority is configured to determine an initial state of charge and a charge rating of the EV charging station, wherein determining the time to full charge is based on the initial state of charge and the charge rating.

21. A system for instructing a vehicle where and when to re-charge, the system comprising: a known vehicle, wherein the vehicle requires electrical charging and periodic re charging to power the propulsion and/or operation of the vehicle; an authorized mobile communications device attached to a secure mobile network for the vehicle; on vehicle data; and off vehicle data; wherein the system controls a set of constraints on a plurality of factors comprising a timing and percentage completion of a particular charge; wherein a plurality of constraint factors comprises a target charging level, a targeting completion time of charging to the indicated % level of completion, or a user configurable quality or characteristic that is measurable and knowable prior to the initiation of a charging session.

22. The system according to claim 21 wherein the plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from instruction sets delivered by an assigning authority to that vehicle.

23. The system according to claim 21 wherein the plurality of constraint factors applicable to the vehicle are defined and/or determined by an assigning authority for a temporal period or session.

24. The system according to claim 21 wherein the plurality of constraint factors applicable for a known driver (HOS, driver breaks) are defined and/or determined by an assigning authority.

25. The system according to claim 21 wherein the plurality of constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from at least one application.

26. A method for instructing a vehicle where and when to re-charge, the method comprising: receiving at a server a workflow for a vehicle comprising an origination location of the vehicle, a destination of the vehicle, a route (one or more potential route) to the destination, a cargo, a time of departure, and a time of arrival; receiving at the server a real-time driver profile for the driver of the vehicle; receiving at the server real-time data for the vehicle from a CVD connected to on board diagnostics for the vehicle; receiving at the server a charging level for the vehicle; receiving at the server a configuration of the vehicle; receiving at the server a plurality of dynamic compliance rules; receiving at the server a plurality of configurable real-time vehicle data trigger events; determining at the server a real-time GPS location for the vehicle; determining at the server a plurality of potential re-charging stops along the route(s); calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on the workflow, the real-time driver profile, the configuration of the vehicle, the real-time GPS location of the vehicle, the real-time vehicle data, the plurality of dynamic compliance rules, and the selected re-charging station profile; and transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro navigation to an exact charging station (direct or inductive charge) of the re-charging stop for re-charging during a predetermined charging time period.

27. A method for instructing a vehicle where and when to re-charge, the method comprising determining a real-time GPS location for a vehicle; determining a plurality of re-charging stops along a route for the vehicle; calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on at least one of workflow, a real-time driver profile, a configuration of the vehicle, the real-time GPS location of the vehicle, real-time vehicle data, a plurality of dynamic compliance rules, or a selected re-charging stop profile; transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro navigation to an exact re-charging station of the re-charging stop for charging during a predetermined time period.

28. A non-transitory computer-readable medium that stores a program that causes a processor to perform functions for instructing a vehicle where and when to re charge, the functions comprising: determining a real-time GPS location for a vehicle; determining a plurality of re-charging stops along a route for the vehicle; calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on at least one of workflow, a real-time driver profile, a configuration of the vehicle, the real-time GPS location of the vehicle, real-time vehicle data, a plurality of dynamic compliance rules, or a selected re-charging stop profile; transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro navigation to an exact re-charging station of the re-charging stop for charging during a predetermined time period.

Description:
Assigning Authority For Electric Vehicle Charging

Technical Field The present invention generally relates to charging electric vehicles.

Background Art

[0001] An electric vehicle (EV) is the common name given to describing automobiles designed to operate their electric motor on a rechargeable battery. The battery is recharged when the electric vehicle is connected to an electric vehicle charging station or electric vehicle supply equipment (EVSE). Power from the electrical grid is used to "refuel" an electric vehicle.

[0002] Electric vehicle charging stations or electric vehicle supply equipment (EVSE) provide an electric vehicle with the capability to recharge the vehicle's battery or energy storage device. An electric vehicle may drive up to a charging station, connect to the charging station, and receive power from the electricity grid.

[0003] Assigning authority engine is a computer device running a software program that determines the parameters of an electric vehicle charging session based on input received over a network from the connected vehicle devices, passive devices, other devices, and/or other settings. The assigning authority engine is optionally stored in the cloud or on premise.

[0004] Beacon is a management frame that contains all of the information about a network. As specified in IEEE 802.11 for Wireless Local Area Network (WLAN), Beacon frames are periodically transmitted to announce the presence of the network. Beacon frames typically include the WLAN's service set identifier (SSID).

[0005] BLUETOOTH technology is a standard short range radio link that operates in the unlicensed 2.4 gigaHertz band, defined in IEEE 802.15.1 originally an now by the Bluetooth Special Interest Group (SIG).

[0006] Processor generally includes all types of processors including without limitation microprocessors, general purpose processors, gate arrays, array processors, application specific integrated circuits (ASICs) and digital signal processors.

[0007] Secure Connection Packet (SCP) is used to provide authentication between multiple devices or a local party and remote host to allow for secure communication or the transfer of computer files.

[0008] Service Set Identifier (SSID) is a 1 to 32 byte string that uniquely names a wireless local area network.

[0009] User Interface (UI) is the junction between a user and a computer program. An interface is a set of commands or menus through which a user communicates with a program. A command driven interface is one in which the user enter commands. A menu-driven interface is one in which the user selects command choices from various menus displayed on the screen.

[00010] Web-Server is a computer able to simultaneously manage many Internet information-exchange processes at the same time. Normally, server computers are more powerful than client computers, and are administratively and/or geographically centralized. An interactive-form information-collection process generally is controlled from a server computer, to which the sponsor of the process has access.

[00011] There are multiple sources of data that can be utilized by a vehicle for efficiency and cost savings. However, there is a need for collecting, processing and interpreting the data in a manner that can be utilized by a vehicle. Summary Of The Invention

[00012] The present invention provides a system and method for enabling a vehicle utilizing electrical propulsion to selectively commence a re-charging session based on one or more variables determined by an assigning authority that is connected to the vehicle through a mobile network. [00013] One aspect of the present invention is a system for enabling a vehicle utilizing electrical propulsion to selectively commence a re-charging session based on one or more variables determined by an assigning authority that is connected to the vehicle through a mobile network. The system preferably comprises an assigning authority engine, an electric vehicle, a charging station and a mobile communications device within the electric vehicle and connected to a secure network. The assigning authority engine is aware of the future assignments (cargo (weight), destination, travel distance, time of travel, operating speeds, etc.) for the vehicle and the time of charging costs for electricity in the jurisdiction where the vehicle resides. The assigning authority engine is in communication with the charging station and the mobile communication device over a secure network. The assigning authority engine [00014] Yet another aspect of the present invention is a system for instructing a vehicle where and when to re-charge. The system comprises a known vehicle, where that vehicle requires electrical charging and periodic re-charging to power the propulsion and/or operation of that vehicle, an authorized mobile communications device attached to a secure mobile network for a vehicle, and on-vehicle and off-vehicle data, wherein the control of a set of constraints on factors such as the timing and percentage completion of a particular charge is desired. The constraint factors may include, but are not limited to, target charging level, targeting completion time of charging to the indicated % level of completion, or any other user configurable quality or characteristic that is measurable and knowable prior to the initiation of a charging session, and a known vehicle with an authorized mobile communications device attached to the secure network, which is attached to the vehicle.

[00015] Yet another aspect of the present invention is a method for instructing a vehicle where and when to re-charge. The method includes receiving at a server a workflow for a vehicle comprising an origination location of the vehicle, a destination of the vehicle, a route (one or more potential routes) to the destination, a cargo, a time of departure, and a time of arrival. The method also includes receiving at the server a real-time driver profile for the driver of the vehicle. The method also includes receiving at the server real-time data for the vehicle from a CVD connected to on board diagnostics for the vehicle, including a charging level. The method also includes receiving at the server a configuration of the vehicle. The method also includes receiving at the server a plurality of dynamic compliance rules. The method also includes receiving at the server a plurality of configurable real-time vehicle data trigger events. The method also includes determining at the server a real-time GPS location for the vehicle. The method also includes determining at the server a plurality of potential re-charging stops along the route(s). The method also includes calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on the workflow, the real-time driver profile, the configuration of the vehicle, the real-time GPS location of the vehicle, the real-time vehicle data, the plurality of dynamic compliance rules, and the selected re-charging station profile. The method also includes transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro-navigation to an exact charging station (direct or inductive charge) of the re-charging stop for re-charging during a predetermined charging time period.

[00016] Yet another aspect of the present invention is a method for instructing a vehicle where and when to re-charge. The method includes determining a real-time GPS location for a vehicle. The method also includes determining a plurality of re-charging stops along a route for the vehicle. The method also includes calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on the following: a workflow, a real-time driver profile, a configuration of the vehicle, the real-time GPS location of the vehicle, real- time vehicle data, a plurality of dynamic compliance rules, and a selected re charging stop profile. The method also includes transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro-navigation to an exact re- charging station of the re-charging stop for charging during a predetermined time period.

[00017] Yet another aspect of the present invention a non-transitory computer- readable medium that stores a program that causes a processor to perform functions for instructing a vehicle where and when to re-charge. The functions include determining a real-time GPS location for a vehicle; determining a plurality of re-charging stops along a route for the vehicle; calculating a re charging stop from the plurality of re-charging stops for the vehicle based on a workflow, a real-time driver profile, a configuration of the vehicle, the real time GPS location of the vehicle, real-time vehicle data, a plurality of dynamic compliance rules, and a selected fuel stop profile; and transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro-navigation to an exact charging station of the re-charging stop for charging during a predetermined time period. Brief Description Of The Drawings

[00018] FIG. 1 is a block diagram of a system for remote profile management (RPM) for utilizing data and computational information from on-vehicle and off-vehicle sources. [00019] FIG. 2 is a block diagram of sources of data for RPM for a vehicle.

[00020] FIG. 3 is a block diagram of a system for RPM for utilizing data and computational information from on-vehicle and off-vehicle sources.

[00021] FIG. 4 is an illustration of multiple sensors on a truck.

[00022] FIG. 4A is an illustration of multiple sensors on a truck connected to a BUS for the truck.

[00023] FIG. 5 is a flow chart for a method for RPM for utilizing data and computational information from on-vehicle and off-vehicle sources.

[00024] FIG. 6 is a block diagram of a system for a secure communication protocol for connecting a wireless device to a single access point in a vehicle. [00025] FIG. 6A is a continuation of the block diagram of FIG. 6.

[00026] FIG. 7 is a flow chart of a method for a secure connection to a wireless network of a vehicle.

[00027] FIG. 8 is an illustration of a driver identifying a vehicle through connection of a tablet computer to an unpublished network. [00028] FIG. 9 is an isolated view of general electrical components of a mobile communication device.

[00029] FIG. 10 is an isolated view of general electrical components of a server. [00030] FIG. 11 is a flow chart of a method for securely connecting a wireless device to a single access point in a vehicle.

[00031] FIG. 12 is an illustration of a system for securely connecting a wireless device to a single access point in a vehicle. [00032] FIG. 13 is an illustration of a driver identifying a vehicle through connection of a tablet computer to an unpublished network.

[00033] FIG. 14 is a block diagram of a system for RPM for utilizing data and computational information from on-vehicle and off-vehicle sources.

[00034] FIG. 15 is a block diagram of a system for enabling a vehicle utilizing electrical propulsion to selectively commence a re-charging session.

[00035] FIG. 16 is a block diagram of a system for determining the parameters of a charging session for an electric vehicle.

[00036] FIG. 17 is a flow chart of a method for determining the parameters of a charging session for an electric vehicle. [00037] FIG. 18 is a block diagram of a system for instructing a vehicle where and when to re-charge.

[00038] FIG. 19 is a flow chart of a method for instructing a vehicle where and when to re-charge.

[00039] FIG. 20 is a flow chart of a method instructing a vehicle where and when to re-charge. Best Mode(s) For Carrying Out The Invention [00040] FIG. 15 is a block diagram of a system 730 for enabling a vehicle utilizing electrical propulsion to selectively commence a re-charging session based on one or more variables determined by an assigning authority 1105 that is connected to the vehicle through a communications network 1110. Some

EV charging standards, such as the SAE J1772 and IEC 61851 standards, use a pilot signal to provide signaling and communication with an EV 710. For example, an SAE J1772 compliant pilot signal is a pulse width modulated signal whose voltage level indicates a charging status (e.g., standby, vehicle detected, ready, with ventilation, no power, error) and whose duty cycle indicates an ampere capacity of the charging equipment. In some embodiments, the EV charging circuitry 328 may generate a pilot signal in accordance with the SAE J1772 or the IEC 61851 standards.

[00041] The constraint factors used by the assigning authority engine 1105 may include a cable rating of a charging coupler, a duty cycle for a charging current, a length of time for charging an electric vehicle 710, a threshold level for aggregate electrical consumption, a maximum allowable charge rate, a micro-grid rating, a plug rating, a price of electricity, a protection fuse rating, a quantity of electricity stored within a micro-grid, a specified time for completing the charging of an electric vehicle, a total cost of charging an electric vehicle, an operational limit set by a grid utility or other energy provider, a battery temperature of an electric vehicle, a current battery charge of an electric vehicle, a time of day, a time until an electric vehicle's next use, a weather reading, a future power draw from an electric vehicle, a level for instantaneous electric consumption, a present power draw from an electric vehicle, a quantity of electricity stored within a micro-grid, an option for econo-charging, and an option for using green energy. Econo-charging allows a user to reduce the overall cost of a charging transaction for an electric vehicle by scheduling the charge transfer around times or days where electricity is sold at a lower price than another time. Renewable energy refers to electricity generated from wind turbines, solar power, hydroelectric power, or another renewable energy resources. [00042] FIG. 16 is a block diagram of a system 700 for determining the parameters of a charging session for an electric vehicle. The system 700 includes an electric vehicle (EV) 710, and EV charging station 715, a mobile communication device 110, and an assigning authority engine 1105. The assigning authority engine 1105 is preferably in communication with the mobile communication device 110 and the EV charging station 715. Further, the assigning authority engine 1105 preferably determines a time of charging for the EV 710 and a target charging level based on a plurality of constraint factors.

[00043] The constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

[00044] The system 700 preferably includes a secure communication network 705, wherein the assigning authority engine 1105 is in communication with the mobile communication device 110 and the EV charging station 715 over the secure communication network 705.

[00045] The assigning authority 1105 is configured to access and combine the at least one off-vehicle content and the on-vehicle data to produce a plurality of dynamic, temporal combinations of data elements and a plurality of instructions. The off-vehicle source is preferably at least one cloud source selected from the group comprising a public cloud source, a private cloud source, a hybrid cloud source, or a multi-cloud source.

[00046] The EV 710 is preferably one of a long-haul semi-truck, a bus, a sedan, a pick-up, a sports utility vehicle, a limousine, a sports car, a delivery truck, a van, or a mini -van.

[00047] The assigning authority engine comprises a predetermined work assignment having a temporal event with a fixed start and completion based on at least one assignable boundary condition. An assigning authority for the assigning authority engine is performed by a person or persons, who have the appropriate authority and mechanisms to assign specific tasks and assets to a specific vehicle and vehicle operator or custodian, and to assign workflow assignments to same. [00048] The mobile communication device comprises a processor, a graphical user interface, a memory, a plurality of sensors, a wireless transceiver and a mobile application. The EV charging station is in communication with the assigning authority engine through the mobile communication device. [00049] The assigning authority engine accesses a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV. The assigning authority engine also determines an electric load on the EV charging station, and is configured to determine an initial state of charge and a charge rating of the EV charging station.

Determining the time to full charge is based on the initial state of charge and the charge rating.

[00050] FIG. 17 is a flow chart of a method 720 for determining the parameters of a charging session for an electric vehicle. Step 721 is determining, at an assigning authority engine, that an EV is plugged into an EV charging station.

Step 722 is receiving, at the assigning authority engine, a plurality of constraint factors for charging of the EV. Step 723 is determining a time of charging for the EV and a target charging level based on a plurality of constraint factors for the EV. [00051] Preferably, the constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications or instruction sets delivered by the assigning authority engine to the EV that are applicable to that EV for a temporal period or session defined and or determined by the assigning authority engine.

[00052] The assigning authority engine is in communication with the mobile communication device and the EV charging station over a secure communication network 705. The assigning authority is configured to access and combine the at least one off-vehicle content and the on-vehicle data to produce a plurality of dynamic, temporal combinations of data elements and a plurality of instructions. The assigning authority engine is also configured to access a database comprising data on a plurality of costs for charging an EV at a plurality of specific times of the day, and the assigning authority engine determines a most cost-effective time of the day to charge the EV. The assigning authority engine is also preferably configured to determine an electric load on the EV charging station. The assigning authority engine is further configured to determine an initial state of charge and a charge rating of the EV charging station, wherein determining the time to full charge is based on the initial state of charge and the charge rating.

[00053] FIG. 18 is a block diagram of a system 920 for instructing a vehicle where and when to re-charge. The system comprises a known vehicle 925 requiring electrical charging and periodic re-charging to power the propulsion and/or operation of that vehicle 925, an authorized mobile communications device 110 attached to a secure mobile network for a vehicle, and on-vehicle and off-vehicle data, wherein the control of a set of constraints on factors such as the timing and percentage completion of a particular charge is desired. The constraint factors may include, but are not limited to, target charging level, targeting completion time of charging to the indicated percentage level of completion, or any other user configurable quality or characteristic that is measurable and knowable prior to the initiation of a charging session, and a known vehicle 925 with an authorized mobile communications device 110 attached to the secure network, which is attached to the vehicle 925.

[00054] The constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from instruction sets delivered by the assigning authority to that vehicle. The applicable constraint factors to that vehicle are defined and/or determined by the assigning authority for a temporal period or session. The applicable constraint factors (hours of service - HOS, driver breaks) for a known driver are defined and/or determined by the assigning authority. [00055] The constraint factors utilized in the determination are the results of inputs, combinations of inputs or calculations derived through the use of one or more inputs derived from applications.

[00056] Additional configurable constraints, to the existing constraints (timing, distance) for a known driver, known vehicle, and other data inputs, include the following: HOS, driver breaks, loads - percent completion requirements, weather adjustment to range, and any other configurable quality or characteristic. A load constraint includes ETA’s (estimated time of arrival) for warehouse pickup/delivery. A weather constraint includes battery usage information to maintain a battery in cold weather.

[00057] Inputs from on-vehicle preferably include data from sensors, inputs derived from applications, and instruction sets on a mobile device. Inputs from off-vehicle preferably include data from infrastructure/beacon, and instruction sets delivered by the assigning authority.

[00058] FIG. 19 is a flow chart of a method 1220 for instructing a vehicle where and when to re-charge, also illustrated in FIG. 18. The method includes step 1221, receiving at a server 923 a workflow for a vehicle 925 comprising an origination location 921 of the vehicle 925, a destination 950 of the vehicle, a route 922 (one or more potential routes) to the destination 950, a cargo, a time of departure, and a time of arrival. At step 1222, receiving at the server a real-time driver profile for the driver of the vehicle. At step 1223, receiving at the server real-time data for the vehicle from a CVD connected to on board diagnostics for the vehicle, including a charging level. At step 1224, receiving at the server a configuration of the vehicle. At step 1225, receiving at the server a plurality of dynamic compliance rules. At step 1226, receiving at the server a plurality of configurable real-time vehicle data trigger events. At step 1227, determining at the server 923 a real-time GPS location for the vehicle. At step 1228, determining at the server a plurality of potential re-charging stops 930a-930e along the route(s) 922. At step 1229, calculating a re charging stop from the plurality of re-charging stops 930a-930e for the vehicle based on the workflow, the real-time driver profile, the configuration of the vehicle, the real-time GPS location of the vehicle, the real-time vehicle data, the plurality of dynamic compliance rules, and the selected re-charging station profile. At step 1230, transmitting to the vehicle guidance the selected re charging stop from the current location of the vehicle, wherein the guidance includes micro-navigation to an exact charging station (direct or inductive charge) of the re-charging stop for re-charging during a predetermined charging time period.

[00059] FIG. 20 is a flow chart of a method 1200 for instructing a vehicle where and when to re-charge. The method includes step 1201, determining a real-time GPS location for a vehicle. At step 1202, determining a plurality of re-charging stops along a route for the vehicle. At step 1203, calculating a re charging stop from the plurality of re-charging stops for the vehicle based on the following: a workflow, a real-time driver profile, a configuration of the vehicle, the real-time GPS location of the vehicle, real-time vehicle data, a plurality of dynamic compliance rules, and a selected re-charging stop profile.

At step 1204, transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro-navigation to an exact re-charging station of the re-charging stop for charging during a predetermined time period. [00060] A preferred embodiment of the invention includes a non-transitory computer-readable medium that stores a program that causes a processor to perform functions for instructing a vehicle where and when to re-charge. The functions include determining a real-time GPS location for a vehicle; determining a plurality of re-charging stops along a route for the vehicle; calculating a re-charging stop from the plurality of re-charging stops for the vehicle based on a workflow, a real-time driver profile, a configuration of the vehicle, the real-time GPS location of the vehicle, real-time vehicle data, a plurality of dynamic compliance rules, and a selected fuel stop profile; and transmitting to the vehicle guidance to the selected re-charging stop from the current location of the vehicle, wherein the guidance includes micro navigation to an exact charging station of the re-charging stop for charging during a predetermined time period. [00061] FIG. 1 is a block diagram of a system 1100 for remote profile management for utilizing data and computational information from on-vehicle and off-vehicle sources. The system 1100 includes a vehicle 1000, an assigning authority engine 1105, a remote profile manager (RPM) toolset 1130 with an RPM sync program 1135, and a plurality of databases 1125, both accessible through the cloud 1110. The vehicle 1000 preferably includes a connected vehicle device (CVD) 135. The remote profile manager toolset 1130 preferably includes a server 1135. The plurality of databases 1125 is preferably composed of multiple databases 1125a-d.

[00062] The assigning authority engine 1105 preferably has a work assignment that has been generated for a specific vehicle 1000. In a preferred embodiment, the assigning authority engine 1105 resides at a server for the system 1100, and the RPM toolset 1130 resides at a separate server. Alternatively, the assigning authority engine 1105 and the RPM toolset 1130 reside at the same server. The assigning authority engine 1105 is preferably configured to access and combine off-vehicle content and on-vehicle data, along with the work assignment, to produce dynamic, temporal combinations of data elements and instructions for the vehicle 1000. Additionally, the assigning authority engine 1105 provides permission to various applications to share data for app-to-app integration. In one example, the assigning authority engine 1105 grants permission to a workflow application running on a mobile communication device for the vehicle 1000 to obtain data from a navigation application running on the mobile communication device. The assigning authority engine 1105 instructs the navigation application to share the data with the workflow application. In one specific example, the shared data is GPS coordinates for the vehicle.

[00063] FIG. 2 is a block diagram of a set 2000 of sources of data for remote profile management for a vehicle. The set 2000 preferably includes vehicles 2001, devices 2002, operations 2003, assignments 2004, third parties 2005, software apps 2006, miscellaneous 2007 and other 2008.

[00064] FIG. 3 is a block diagram of a system 1300 for remote profile management for utilizing data and computational information from on-vehicle and off-vehicle sources. As shown in FIG. 3, the system 1300 comprises an assigning authority engine 1105, a remote profile manager toolset 1130, databases (FIG. 2), cloud sources 1175, a vehicle 1000 and a CVD 135 within the vehicle 1000. The cloud sources 1175 include a main protected server/cloud 1183, an original equipment manufacturer server/cloud 1182, a customer server/cloud 1181 and a public server/cloud 1180. Multiple other servers/clouds and/or databases can be utilized with the present invention without departing from the scope and spirit of the claims. The cloud sources 1175, databases 1125, RPM 1130 and assigning authority engine 1105 communicate with the CVD 135 utilizing various wireless communication protocols including WiFi, cellular networks, BLUETOOTH, GPS, and the like. The contents of each of the databases (1125a-l 125d) and cloud sources 1175 are accessible and combinable by the assigning authority engine 1105 to produce dynamic, temporal combinations of data elements and instructions for the vehicle 1000. The assigning authority engine 1105 is configured to use the remote profile manager toolset 1130 to execute the dynamic, temporal combinations. The dynamic, temporal combinations access data from the cloud sources comprising third party data and vehicle, timing, event, and/or positioning (“VTEP”) data 1160 to inform instruction sets delivered by the assigning authority engine 1105. The instruction sets are preferably temporal permission for the on-vehicle sources and off-vehicle sources (e.g., applications) to connect and share data with each other. One or more elements of the VTEP data 1160 is used as the basis to synchronize timing between the data, or computational outputs of two or more sources of electronic information. A single coherent information picture 1170 is formed from fusing data and computational information from the on-vehicle and the off-vehicle sources. The new information data set combination (single coherent information picture) is a display of information generated from the combination of data from the on-vehicle sources and the off-vehicle sources. The data set can include dynamic route information (road condition changes due to weather, construction and the like), an updated driver’s profile, vehicle engine date, cargo data, dynamic compliance rules, micro-navigation data, fuel stop data, inspection stations on the route, wireless communications connectivity status, time to destination, and the like. An example of a new information data set combination is imparting GPS location data from a truck/CVD onto cargo (the potato chips example). The new information data set combination is preferably any new combination of the connected data sources data for the specific vehicle of interest.

[00065] FIG. 14 is a block diagram of a system 1500 for remote profile management for utilizing data and computational information from on-vehicle and off-vehicle sources. At step A, VTEP data is gathered from multiple databases, cloud services and other off-vehicle sources, as well as on-vehicle sources. At step B, the RPM toolset is used to configure multiple assigning authority rules based on the collected VTEP data. At step C, multiple instruction sets are delivered to multiple cloud services, other off-vehicle sources and on-vehicle sources. At step D, off-vehicle sources such as physical infrastructure, vehicles, mobile devices, and mobile device applications share data per the delivered instruction sets. At step E, back office managers, physical infrastructure, on-vehicle and off-vehicle sources are provided with new information data set combinations enabling novel processing capabilities for the system. [00066] In one embodiment, the off-vehicle source is a mobile application operating on a mobile device, and the data originates from the mobile application.

[00067] In another embodiment, app to app integration is utilized to generate the information data set. The app to app integration is performed at a remote server, within an app on a mobile device, on a CVD or a combination thereof.

[00068] The cloud sources preferably comprise a public cloud source, a private cloud source, a hybrid cloud source, a multi-cloud source, a service provider cloud, a telematics service provider cloud, an original equipment manufacturer cloud (truck manufacturer, Tier 1 supplier, device supplier and the like), a customer cloud (end user) and/or a public cloud.

[00069] The system also preferably includes physical infrastructures with communication devices comprising at least one of a building, a gate, an access controlled point of entry, a parking structure, a weigh station, a toll collection structure, a fueling equipment and a vehicle service equipment. In one embodiment, a passive device on a physical structure broadcasts a unique ID which is received by a mobile device and a vehicle gateway device. In one embodiment, the passive device is a BLUETOOTH that broadcasts a BLUETOOTH advertisement. [00070] Multiple vehicle connected mobility devices are preferably used with the system 1500 and comprise at least one of a tablet computer, a mobile phone, a scanning device, a beacon, a RF passive or active communication device and a signature capture device. [00071] Affiliates with the system 1500 include at least one of another vehicle authorized to share data via vehicle-to-vehicle (V2V), Cloud, or other RF communication protocols, a TMS system authorized by the assigning authority engine 1105 to directly take data from or provide data to the vehicle CVD 135, an authorized cloud provider, and an authorized user granted access by the assigning authority.

[00072] The vehicle 1000 is preferably one of a long-haul semi-truck, a bus, a sedan, a pick-up, a sports utility vehicle, a limousine, a sports car, a delivery truck, a van, or a mini-van. [00073] As shown in FIG. 3, the vehicle 1000 has multiple endpoints with direct connectivity to the CVD 135, and requires no routing through a cloud service. The endpoints are user interfaces or built-in displays, devices connected through fixed or wireless connection to the vehicle’s CVD 135, sensors connected through a vehicle bus 105 (see FIG. 4A) to the CVD 135, or directly to the CVD 135 via wired or wireless connection, like devices. The vehicle 1000 is preferably a primary generator and source of VTEP data 1160.

[00074] The RPM 1130 preferably comprises a RPM sync 1135 for syncing with other devices, servers, the Cloud, the CVD and the like.

[00075] The real-time data for the vehicle 1000 preferably comprises a real- time speed of the vehicle, tire pressure values from a plurality of tire sensors, refrigeration/HVAC unit values, a plurality of fluid levels, a plurality of power unit values, a real-time fuel tank capacity, and a fuel type. [00076] The plurality of configurable real-time vehicle data trigger events comprises a value outside of a predetermined range for the real-time data of the vehicle.

[00077] The real-time driver/operator profile comprises amount of time driving during a pre-determined time period, number of rest breaks during the pre determined time period, license compliance data, physical disabilities and driving violations.

[00078] One example of an off-vehicle source is a fuel stop. A profile of a fuel stop preferably comprises real-time types of fuels available, set billing instructions, physical dimensions of a plurality of fuel pumps, GPS coordinates, hours of operation, food service availability, and resting area availability. The predetermined fueling time period is a time range to fuel the vehicle based on the real-time GPS location of the vehicle, the real-time speed of the vehicle, the distance to the selected fuel stop from the real-time GPS location of the vehicle, and the hours of operation of the fuel stop.

[00079] A configuration of the vehicle 1000 is preferably selected from one of a single trailer, a dual trailer, a triple trailer, and a refrigeration trailer.

[00080] Another example of an off-vehicle source is a database (Federal, State local) with dynamic compliance rules. The dynamic compliance rules comprise speed limits, transport of toxic waste, the transport of refrigerated cargo, the rest durations for drivers/operators, the necessary insurance coverage, and the type of taxes and fees to be paid. [00081] The workflow utilized by the assigning authority engine 1105 preferably comprises an origination location of the vehicle, a destination of the vehicle, a route to the destination, a cargo, a time of departure and a time of arrival. [00082] In one non-limiting example, the assigning authority engine 1105 receives data over the cloud from a customer server 1181 that a shipment of bags of potato chips were damaged in transit. The assigning authority engine 1105 accesses a CVD 135 or mobile device for the vehicle that delivered the bags of potato chips to determine the origination location, the destination location and the route. The assigning authority engine 1105 uses a navigation app on the mobile device (tablet computer) to determine the route, and an elevation of the route. The assigning authority engine 1105 determines that the vehicle traveled over a high elevation mountain range that probably resulted in the damage to the bags of potato chips due to a pressure differential. The assigning authority engine 1105 uses this information to reroute a subsequent shipment of bags of potato chips to avoid the high elevation mountain range.

[00083] FIG. 4 is an illustration of multiple sensors on a truck 1000. The vehicle/truck 1000 preferably comprises an oil level sensor 1005, an engine sensor 1010, a power sensor 1015, a refrigeration/HVAC sensor 1020, a temperature sensor 1025, a tire pressure sensor 1030, and a fuel sensor 1035. Those skilled in the pertinent art will recognize that multiple other sensors may be utilized without departing from the scope and spirit of the present invention. FIG. 4A is an illustration of multiple sensors on a truck connected to a data bus 105 for the truck. Each of the sensors (oil level sensor 1005, engine sensor 1010, a power sensor 1015, a refrigeration/HVAC sensor 1020, a temperature sensor 1025, tire pressure sensors 1030a-d, and fuel sensor 1035) is preferably connected to the data bus 105 for transferring data to an on-board computer of the vehicle 1000, or directly to the CVD 135. Alternatively, some or all of the sensors use wireless communications to communication with the CVD 135.

[00084] FIG. 5 is a flow chart for a method 500 for remote profile management for utilizing data and computational information from on-vehicle and off- vehicle sources. At block 501, the contents of each of a plurality of databases are accessed by an assigning authority engine. At block 502, the contents are combined to produce a plurality of dynamic, temporal combinations of data elements and a plurality of instruction sets for a vehicle. At block 503, the plurality of dynamic, temporal combinations is executed. At block 504, data from a plurality of cloud sources comprising third party data and vehicle, timing, event, and/or positioning (“VTEP”) data is accessed to inform the plurality of instruction sets delivered by the assigning authority engine to the RPM. At block 505, one or more elements of the VTEP data is used as a basis to synchronize timing between the data, or computational outputs of two or more sources of electronic information. At block 506, a single coherent information picture is formed from fusing data and computational information from the on-vehicle and the off-vehicle sources. [00085] FIG. 6 and FIG. 6A show a system 10 for securely connecting a wireless device to a single access point in a vehicle for a predetermined work assignment. The system 10 preferably comprises a remote server (cloud) 11, a vehicle gateway device 130, a smart device 110, and a passive device 61. The vehicle gateway device 130 is preferably a connected vehicle device (“CVD”).

[00086] The server/cloud 11 accesses dataset 12 and obtains driver information. Vehicle information, mobile device information (MAC address), passive device information (beacon ID), and other information to compile a SCP packet 14. At block 15, the server 11 provides SCP definitions to the vehicle gateway device 130 and the mobile device 110. At block 16 the server/cloud 11 authorizes the SCP. At block 17, the server/cloud 11 communicates with the vehicle gateway device 130.

[00087] The vehicle gateway device 130 compiles a CVD compiled SCP packet 25 using datasets 22, the beacon ID 23, a scan of wireless devices 24, and the SCP definitions 26 received from the server/cloud 11. The CVD compiled SCP packet is sent to the cloud/server 11 at block 16 and authorization/validation of the CVD compiled SCP packet is received at block 27. At block 28 the SCP is authorized for broadcasting at the vehicle gateway device 130 a wireless network with a hidden and hashed SSID unique to the vehicle, the hidden and hashed SSID generated from the validated SCP packet.

At block 29, the vehicle gateway device 130 communicates the broadcast with the server/cloud 11. At block 31, the vehicle gateway device 130 communicates with other devices, namely the smart device 110 over preferably a WiFi hotspot 32 and the passive device 61 by pairing using a BLUETOOTH communication protocol at block 33.

[00088] At block 49, the smart device (mobile device) 110 compiles a complied mobile device SCP packet from the SCP definitions 42, the data sets 48, the beacon ID 43, the Tablet ID 45, a driver ID 46, a vehicle ID 47 and scan of wireless devices 44. The mobile device 110 generates the hashed SSID and a passphrase from the complied mobile device SCP packet. At block 51, the mobile device 110 connects to the WiFi hotspot 32 of the vehicle gateway 130. [00089] The passive device 61 broadcast a unique ID at block 62 which is received by the mobile device 110 and the vehicle gateway device 130. At block 63, if a BLUETOOTH device, it broadcasts a BLUETOOTH advertisement at block 64.

[00090] The SCP is defined by an assigning authority in the server/cloud 11. The server/cloud 11 sends the SCP definition and any other required data in datasets to the CVD 130 and the mobile device 110. The CVD 130 adds the contextual data from local datasets to the sever-sent data to compile its SCP based definition. The local datasets include data wirelessly scanned from passive devices, preferably transmitting a BLUETOOTH beacon. Other local datasets include information from the vehicle. The CVD 130 sends its compiled SCP packet to the server 11 for authorization. The server 11 verifies the CVD compiled SCP packet, and if valid, the server 11 transmits a validation/approval signal to the CVD 130. The CVD then generates an access point SSID/passphrase with SCP. Likewise, the mobile device 110 utilizes contextual data from local datasets to compile its SCP based on the definitions. The mobile device 110 connects to the access point of the CVD 130 using the SCP. The CVD 130 and the mobile device 110 also connect to the passive device 61 since it is part of the SCP definition.

[00091] As used by the assigning authority engine 1105, a predetermined work assignment is a temporal event with a fixed start and completion based on assignable boundary conditions. The assignable boundary condition is at least one of a predetermined time period, a geographical destination, and a set route. Alternatively, the assignable boundary condition is any feature with a beginning and a termination. The assigning authority is performed by a person or persons, who have the appropriate authority and mechanisms to assign specific tasks and assets to a specific vehicle and vehicle operator or custodian, and to assign workflow assignments to same. The predetermined work assignment is assigned to a known person or entity that has its own primary networked device accessible through a password protected user interface, a specific name and password that auto-populates or otherwise automatically satisfies a plurality of credentials requirements, wherein the plurality of credential requirements are automatically available or revoked based on the assignable boundary condition identified in a pairing event.

[00092] The CVD 130 preferably broadcasts a WiFi wireless network with a hidden and hashed SSID unique to the host vehicle and protected by a unique, dynamically generated and hashed passphrase. The vehicle ID is entered into an application on the tablet that is then converted to the same hashed SSID and passphrase, which allows the tablet to attempt to connect to the corresponding CVD WiFi network and begin communication.

[00093] A method 900 for a secure connection to a wireless network of a vehicle is shown in FIG. 7. At block 901, a server generates definitions for a

SCP packet for assigning authority for a vehicle. At block 902 the server transmits the definitions for the SCP packet to a CVD and a mobile device. At block 903, the CVD compiles the SCP packet to generate a CVD compiled SCP. At block 904, the CVD transmits the CVD compiled SCP to the server for authorization. At block 905, the server transmits authorization for the CVD compiled SCP from to the CVD for creation of a validated SCP. At block 906, the mobile device generates a dataset to compile a mobile device compiled SCP. At block 907, the CVD broadcasts at a wireless network with a hidden and hashed SSID unique to the vehicle. The hidden and hashed SSID is generated from the validated SCP packet. At block 908, the mobile device generates the hashed SSID and a passphrase from the dataset, which allows the mobile device connect to the wireless network. At block 909, the mobile device searches for a vehicle having the CVD broadcasting the wireless network in a hidden mode. At block 910, the mobile device securely connects with the CVD.

[00094] One embodiment utilizes a system for vehicle to mobile device secure wireless communications. The system comprises a vehicle 210, a CVD 130, a mobile device 110 and a passive communication device 61. The vehicle 210 comprises an on-board computer with a memory having a vehicle identification number (VIN), a connector plug, and a motorized engine. The CVD 130 comprises a processor, a WiFi radio, a BLUETOOTH radio, a memory, and a connector for mating with the connector plug of the vehicle. The mobile device 110 comprises a graphical user interface, a mobile application, a processor, a WiFi radio, and a cellular network interface. The passive communication device 61 operates on a BLUETOOTH communication protocol. The server 11 is configured to generate a plurality of definitions for a SCP packet for assigning authority for the vehicle. The server 11 is configured to transmit the plurality of definitions for the SCP packet from the server to the CVD 130 and the mobile device 110. The CVD 130 is configured to compile the SCP packet to generate a CVD compiled SCP. The CVD 130 is configured to transmit the CVD compiled SCP to the server 11 for authorization. The server 11 is configured to transmit authorization for the CVD compiled SCP to the CVD 130 for creation of a validated SCP. The mobile device 110 is configured to generating a dataset to compile a mobile device compiled SCP. The CVD 130 is configured to broadcast a wireless network with a hidden and hashed SSID unique to the vehicle, the hidden and hashed SSID generated from the validated SCP packet. The mobile device 110 is configured to generate the hashed SSID and a passphrase from the dataset, which allows the mobile device connect to the wireless network. The mobile device 110 is configured to search for a vehicle having the CVD broadcasting the wireless network in a hidden mode. The mobile device 110 is configured to connect to the CVD 130 over the wireless network.

[00095] The dataset preferably comprises at least one of a plurality of definitions for the SCP packet, a tablet ID, a driver ID, a vehicle ID, a beacon ID, identified or defined entity/participant to the transaction, descriptions, actions, or states of thing, characteristics of identifiable devices, when present in a certain proximity and/or context.

[00096] Optionally, the mobile device 110 connects to a passive device, the passive device operating on a BLUETOOTH communication protocol. The passive device 61 is preferably a BLUETOOTH enabled device advertising a unique ID as a beacon or a complex system (speaker, computer, etc.) that emits BLUETOOTH enabled device advertising a unique ID as a beacon.

[00097] The mobile device 110 preferably receives input from a driver of the vehicle, and/or the server 11 contains the assigning authority that generates the SCP definitions.

[00098] The passive device 61 is preferably an internal device in the vehicle or an external device posted on a gate to a facility and generating a beacon. The beacon from the passive device is preferably a mechanism to ensure that the connection between the mobile device 110 and the CVD 130 occurs at a specific physical location dictated by the assigning authority through the server 11. Preferably, the automatic connection between the mobile device 110 and the CVD occurs because the assigning authority, through the server, has dictated that it occur. [00099] As shown in FIG. 8, a staging yard for trucks 210a-201d, each of a multitude of trucks 210a-210d broadcast a wireless signal for a truck specific network, with one truck 210c broadcasting a wireless signal 225. However, the SSID is not published so unless a driver is already in possession of the SSID, the driver will not be able to pair the tablet computer 110 with the CVD

130 of the truck 210 to which the driver is assigned. So even though the wireless signals are being “broadcast”, they will not appear on a driver’s tablet computer 110 (or other mobile device) unless the tablet computer 110 has already been paired with the CVD 130 of the vehicle 210. A driver 205 in possession of a tablet computer 110 pairs, using a signal 230, the tablet computer 110 with the wireless network 225 of the CVD of the truck 210c, and thus the driver locates the specific truck 210c he is assigned to in a parking lot full of identical looking trucks 210a-d.

[000100] For example, on an IPHONE® device from Apple, Inc., the "UDID," or Unique Device Identifier is a combination of forty numbers and letters, and is set by Apple and stays with the device forever.

[000101] For example, on an ANDROID based system, one that uses Google Inc.’s ANDROID operating system, the ID is set by Google and created when an end-user first boots up the device. The ID remains the same unless the user does a “factory reset” of the phone, which deletes the phone’s data and settings. [000102] The mobile communication device 110, or mobile device, is preferably selected from mobile phones, smartphones, tablet computers, PDAs and the like. Examples of smartphones and the device vendors include the IPHONE® smartphone from Apple, Inc., the DROID® smartphone from Motorola Mobility Inc., GALAXY S® smartphones from Samsung Electronics Co.,

Ltd., and many more. Examples of tablet computing devices include the IPAD® tablet computer from Apple Inc., and the XOOM™ tablet computer from Motorola Mobility Inc.

[000103] The mobile communication device 110 then a communication network utilized preferably originates from a mobile communication service provider

(aka phone carrier) of the customer such as VERIZON, AT&T, SPRINT, T- MOBILE, and the like mobile communication service providers, provide the communication network for communication to the mobile communication device of the end user. [000104] Wireless standards utilized include 802.11a, 802.11b, 802. llg, AX.25,

3G, CDPD, CDMA, GSM, GPRS, radio, microwave, laser, Bluetooth, 802.15, 802.16, and IrDA.

[000105] BLUETOOTH™ technology operates in the unlicensed 2.4 GHz band of the radio-frequency spectrum, and in a preferred embodiment the secondary device 30 and/or primary device 25 is capable of receiving and transmitting signals using BLUETOOTH™ technology. LTE Frequency Bands include 698-798MHz (Band 12, 13, 14, 17); 791-960MHz (Band 5, 6, 8, 18,19,20); 1710-2170MHz (Band 1, 2, 3, 4, 9, 10, 23, 25, 33, 34, 35, 36, 37, 39); 1427- 1660.5MH (Band 11, 21, 24); 2300-2700MHz (Band 7, 38, 40, 41); 3400- 3800MHz (Band 22, 42, 43), and in a preferred embodiment the secondary device 30 and/or the primary device 25 is capable of receiving and transmitting signals using one or more of the LTE frequency bands. WiFi preferably operates using 802.11a, 802.11b, 802. llg, 802.11h communication formats as set for the by the IEEE, and in in a preferred embodiment the secondary device 30 and/or the primary device 25 is capable of receiving and transmitting signals using one or more of the 802.11 communication formats. Near-field communications (NFC) may also be utilized. [000106] As shown in FIG. 9, a typical mobile communication device 110 preferably includes an accelerometer 301, EO (input/output) 302, a microphone 303, a speaker 304, a GPS chipset 305, a Bluetooth component 306, a Wi-Fi component 307, a 3G/4G component 308, RAM memory 309, a main processor 310, an OS (operating system) 311, applications/software 312, a Flash memory 313, SIM card 314, LCD display 315, a camera 316, a power management circuit 317, a battery 318 or power source, a magnetometer 319, and a gyroscope 320.

[000107] Each of the interface descriptions preferably discloses use of at least one communication protocol to establish handshaking or bi-directional communications. These protocols preferably include but are not limited to

XML, HTTP, TCP/IP, Serial, UDP, FTP, SFTP, SCP, RSync, Web Services, WAP, SMTP, SMPP, DTS, Stored Procedures, Import/Export, Global Positioning Triangulation, IM, SMS, MMS, GPRS, WebDAP, and Flash. Databases that may be used with the system preferably include but are not limited to MSSQL, Access, MySQL, Progress, Oracle, DB2, Redis,

MongoDB, Amazon Aurora, Amazon Redshift, Amazon RDS, Amazon DynamoDB, Apache Hadoop, Open Source DBs and others. Operating system used with the system preferably include Microsoft 2010, XP, Vista,

200o Server, 2003 Server, 2008 Server, Windows Mobile, Linux, Android, Unix, I series, AS 400 and Apple OS.

[000108] The underlying protocol at the cloud server 11, is preferably Internet Protocol Suite (Transfer Control Protocol/Internet Protocol (“TCP/IP”)), and the transmission protocol to receive a file is preferably a file transfer protocol

(“FTP”), Hypertext Transfer Protocol (“HTTP”), Secure Hypertext Transfer Protocol (“HTTPS”) or other similar protocols. The transmission protocol ranges from SIP to MGCP to FTP and beyond. The protocol at the authentication server 40 is most preferably HTTPS. [000109] Wireless standards include 802.11a, 802.11b, 802. llg, AX.25, 3G,

CDPD, CDMA, GSM, GPRS, radio, microwave, laser, Bluetooth, 802.15, 802.16, and IrDA.

[000110] Components of a cloud computing server 40 of the system, as shown in FIG. 10, preferably includes a CPU component 401, a graphics component 402, PCI/PCI Express 403, memory 404, non-removable storage 407, removable storage 408, Network Interface 409, including one or more connections to a fixed network, and SQL database(s) 415a-415d, which includes the venue’s CRM. Included in the memory 404, is an operating system 405, a SQL server 406 or other database engine, and computer program s/software 410. The server 40 also preferably includes at least one computer program configured to receive data uploads and store the data uploads in the SQL database. Alternatively, the SQL server 406 can be installed in a separate server from the server 40.

[000111] Cloud service providers optionally used in the present invention include Amazon Web Services (AWS), Google Compute Engine (GCE), Microsoft Azure, Digital Ocean, CloudFlare, Akamai, IBM Cloud, Oracle Cloud Infrastructure, and similar. [000112] A flow chart for an alternative method 600 for a secure connection to a wireless network of a vehicle is shown in FIG. 11. At block 601, the CVD broadcasts an encrypted, blind SSID based on specific vehicle data. At block 602, leveraging the known vehicle data and the encryption algorithm a mobile device searches for a vehicle having a CVD broadcasting the wireless network. At block 603, the mobile device is connected with the CVD.

[000113] A system for a secure connection to a wireless network of a vehicle is shown in FIG. 12. A truck 210a. Those skilled in the pertinent art will recognize that the truck 210a may be replaced by any type of vehicle (such as a bus, sedan, pick-up, sport utility vehicle, limousine, sports car, delivery truck, van, mini-van, motorcycle, and the like) without departing from the scope of spirit of the present invention. The truck 210a preferably comprises a motorized engine 234, a vehicle identification number (“VEST”), an on-board computer 232 with a memory 231 and a connector plug 235. The on-board computer 232 preferably has a digital copy of the VIN in the memory 231.

The on-board computer 232 is preferably in communication with the motorized engine 234. The truck 210a may also have a GPS component for location and navigation purposes, a satellite radio such as SIRIUS satellite radio, a driver graphical interface display, a battery, a source of fuel and other components found in a conventional long distance truck.

[000114] Also in the truck 210a is a CVD 130 comprising a processor, a WiFi radio, a BLUETOOTH radio, a memory and a connector to connect to the connector plug of the on-board computer 232. [000115] A driver 205 preferably has a mobile communication device such as a tablet computer 110 in order to pair with a wireless network generated by the CVD 130 of the truck 210a. The tablet computer 110 preferably comprises a graphical user interface 335, a processor 310, a WiFi radio 307, a BLUETOOTH radio 306, and a cellular network interface 308. [000116] As shown in FIG. 13, a staging yard for trucks 210a-210k, each of a multitude of trucks 210a-210k broadcast a wireless signal 224a-k for a truck specific network, with one truck 21 Of broadcasting a wireless signal 225. However, all of the wireless signal 224a-224k and 225 do not publish their respective SSID so that a mobile device 110 must already be paired with the CVD 130 of the truck 210 in order to connect to the truck based wireless network 224a-224k or 225 of each of the CVDs 130 of each of the trucks 210a-210k. A driver 205 in possession of a tablet computer 110 pairs with the specific truck wireless network 225 of the CVD 130 of the truck 21 Of, and thus the driver locates the specific truck 21 Of he is assigned to in a parking lot full of identical looking trucks 210a-210k.

[000117] One embodiment is a system for utilizing a remote profile manager for vehicle dynamic compliance with multiple vehicle statutes and regulations. The system comprises a truck 210, a CVD 130, a tablet computer 110, a server

40 and a plurality of databases. The vehicle comprises an on-board computer with a memory having a vehicle identification number (VIN), a connector plug, and a motorized engine. The CVD 130 comprises a processor, a WiFi radio, a BLUETOOTH radio, a memory, and a connector for mating with the connector plug of the vehicle. The tablet computer 110 comprises a graphical user interface, a processor, a WiFi radio, a BLUETOOTH radio, and a cellular network interface. A location of the truck 210 is determined using a GPS component of the truck 210. The location of the truck 210 is transmitted to the server 40 by the CVD. The server 40 retrieves real-time compliance rules for the location of the truck from the plurality of databases, which are preferably

State vehicle databases, municipal vehicle databases, county vehicle databases, and Federal vehicle databases. The server 40 transmits the real-time compliance rules to CVD 130 for display on the tablet computer 110 so that a driver of the truck 210 can stay in real-time compliance with State and Federal motor vehicle and driving rules. The rules pertain to speed limits, transport of toxic waste, the transport of refrigerated cargo, the rest durations for drivers, the necessary insurance coverage, the type of taxes and fees to be paid, and the like. The display on the tablet computer is preferably in the form of a visual alert, an audio alert or a haptic alert. Other displays include forms such as attestation forms, and data such as timers, current speed limits, and the like.

The trigger for each jurisdiction is preferably from the GPS of the truck 210, the speed of the truck 210, cellular or WiFi triangulation from a network, and the like.

[000118] The CVD 130 obtains the vehicle identification number (VIN) from the on-board computer and transmits the VIN with the location to the server 40 for verification of the truck 210.

[000119] Another embodiment is a system for utilizing a remote profile manager for utilizing multiple vehicle odometer values. The system comprises a vehicle

210, a CVD 130, a tablet computer 110, a server 40 and a plurality of databases. The vehicle comprises an on-board computer with a memory having a vehicle identification number (VIN), a connector plug, a motorized engine, an odometer component from an engine source, an odometer component from a dashboard source, an odometer component from a chassis source, and an odometer component from a transmission source. Thus, the truck 210 has a multiple of odometers that can be used to determine a mileage of the truck 210. The connected vehicle device (CVD) 130 comprises a processor, a WiFi radio, a BLUETOOTH radio, a memory, and a connector for mating with the connector plug of the vehicle. The tablet computer 110 comprises a graphical user interface, a processor, a WiFi radio, a BLUETOOTH radio, and a cellular network interface. Each of the odometer component from an engine source, the odometer component from a dashboard source, the odometer component from a chassis source, and the odometer component from a transmission source generates an odometer value. The CVD 130 generates a delta value for odometer value relative to a control odometer value. The CVD 130 monitors the odometer value from each of the odometer component from an engine source, the odometer component from a dashboard source, the odometer component from a chassis source, and the odometer component from a transmission source. The CVD 130 generates a new odometer value for one of the odometer component from an engine source, the odometer component from a dashboard source, the odometer component from a chassis source, and the odometer component from a transmission source, and the CVD modifies the odometer value by the delta value to generate the new odometer value.

[000120] An operating system controls the execution of other computer programs, running of the PSO platform, and provides scheduling, input-output control, file and data management, memory management, and communication control and related services. The operating system may be, for example Windows (available from Microsoft, Corp. of Redmond, Wash.), LINUX or other UNIX variants (available from Red Hat of Raleigh, N.C. and various other vendors), Android and variants thereof (available from Google, Inc. of Mountain View, Calif.), Apple OS X, iOs and variants thereof (available from

Apple, Inc. of Cupertino, Calif.), or the like.

[000121] The system and method described in connection with the embodiments disclosed herein is preferably embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module preferably resides in flash memory, ROM memory, EPROM memory, EEPROM memory, RAM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is preferably coupled to the processor, so that the processor reads information from, and writes information to, the storage medium. In the alternative, the storage medium is integral to the processor. In additional embodiments, the processor and the storage medium reside in an Application Specific Integrated Circuit (ASIC). In additional embodiments, the processor and the storage medium reside as discrete components in a computing device. In additional embodiments, the events and/or actions of a method reside as one or any combination or set of codes and/or instructions on a machine-readable medium and/or computer-readable medium, which are incorporated into a computer software program. [000122] In additional embodiments, the functions described are implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions are stored or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium is any available media that is accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures, and that can be accessed by a computer.

[000123] A computer program code for carrying out operations of the Present Invention is preferably written in an object oriented, scripted or unscripted programming language such as C++, C#, SQL, Java, Python, Javascript, Typescript, PHP, Ruby, or the like.

[000124] Each of the interface descriptions preferably discloses use of at least one communication protocol to establish handshaking or bi-directional communications. These protocols preferably include but are not limited to

XML, HTTP, TCP/IP, Serial, UDP, FTP, Web Services, WAP, SMTP, SMPP, DTS, Stored Procedures, Import/Export, Global Positioning Tri angulation,

IM, SMS, MMS, GPRS and Flash. The databases used with the system preferably include but are not limited to MSSQL, Access, MySQL, Oracle, DB2, Open Source DBs and others. Operating system used with the system preferably include Microsoft 2010, XP, Vista, 200o Server, 2003 Server, 2008 Server, Windows Mobile, Linux, Android, Unix, I series, AS 400 and Apple

OS.