1 . A system comprising: an electrochemical impedance measuring circuit configured to measure an electrochemical impedance of a battery of an electric vehicle; and a controller configured to: receive, based on the measured electrochemical impedance, a prediction regarding a state of health of the battery from a model trained using electrochemical impedance measurements of a plurality of batteries; receive a plurality of settings to operate a plurality of heating and cooling devices deployed in a plurality of comfort zones per occupant in the electric vehicle; and output a plurality of adjustments for the plurality of settings based on the predicted state of health of the battery.

2. The system of claim 1 wherein the controller is configured to control the plurality of heating and cooling devices based on the plurality of adjustments.

3. The system of claim 1 wherein the controller is configured to output the plurality of adjustments further based on a speed of the electric vehicle and a distance to a destination.

4. The system of claim 1 wherein the controller is configured to output a second adjustment for a speed of the electric vehicle based on the plurality of adjustments for the plurality of settings and a distance to a destination.

5. The system of claim 1 wherein the controller is configured to control a speed of the electric vehicle based on the plurality of adjustments and a distance to a destination.

6. The system of claim 1 wherein the plurality of adjustments is output to a human to machine interface in the electric vehicle.

7. The system of claim 1 wherein the plurality of adjustments is output to the plurality of heating and cooling devices. i

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8. The system of claim 1 wherein the plurality of adjustments includes unlocking options on a human to machine interface in the electric vehicle to control the plurality of heating and cooling devices.

9. The system of claim 1 wherein the plurality of adjustments includes disabling options on a human to machine interface in the electric vehicle to control the plurality of heating and cooling devices.

10. The system of claim 1 wherein the controller is configured to: receive additional settings to operate additional heating and cooling devices in the electric vehicle; and output additional adjustments for the additional settings based on the predicted state of health of the battery, a speed of the electric vehicle, and a distance to a destination.

1 1 . The system of claim 10 wherein the controller is configured to output an additional adjustment for the speed of the electric vehicle based on the plurality of adjustments for the plurality of settings and the additional adjustments for the additional settings.

12. The system of claim 10 wherein the plurality of heating and cooling devices is located in a first zone in the electric vehicle and wherein at least one of the additional heating and cooling devices is located in a second zone in the electric vehicle.

13. The system of claim 1 wherein the controller comprises the model.

14. The system of claim 1 wherein the model is located in a cloud.

15. The system of claim 1 wherein the controller comprises the model and wherein the controller is configured to receive an update for the model from a server located in a cloud.

16. The system of claim 1 wherein the controller is configured to output a warning regarding safety of the battery to a human to machine interface in the electric vehicle based on the predicted state of health of the battery.

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17. The system of claim 1 wherein the controller is configured to output an alternate route to a destination to a human to machine interface in the electric vehicle based on the plurality of adjustments for the plurality of settings, a speed of the electric vehicle, and a distance to the destination.

18. A method comprising: measuring an electrochemical impedance of a battery of an electric vehicle; receiving, based on the measured electrochemical impedance, a prediction for a battery parameter from a model trained using electrochemical impedance measurements of a plurality of batteries; receiving a plurality of settings to operate a plurality of heating and cooling devices deployed in a plurality of comfort zones per occupant in the electric vehicle; generating a plurality of adjustments for the plurality of settings based on the predicted battery parameter; and controlling the plurality of heating and cooling devices based on the plurality of adjustments.

19. The method of claim 18 wherein the battery parameter is selected from a group consisting of a state of health of the battery, a state of charge of the battery, and a remaining useful life of the battery.

20. The method of claim 18 further comprising controlling a speed of the electric vehicle based on the predicted battery parameter and a distance to a destination.

21 . The method of claim 18 wherein the controlling includes providing the plurality of settings for the plurality of heating and cooling devices on a human to machine interface in the electric vehicle.

22. The method of claim 18 wherein the controlling includes unlocking a range of the plurality of settings for the plurality of heating and cooling devices on a human to machine interface in the electric vehicle.

23. The method of claim 18 wherein the controlling includes disabling a range of the plurality of settings for the plurality of heating and cooling devices on a human to machine interface in the electric vehicle.

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24. The method of claim 18 further comprising: receiving additional settings to operate additional heating and cooling devices in the electric vehicle; and controlling the additional heating and cooling devices and a speed of the electric vehicle based on the additional settings, the predicted battery parameter, and a distance to a destination.

25. The method of claim 24 wherein the plurality of heating and cooling devices is located in a first zone in the electric vehicle and wherein at least one of the additional heating and cooling devices is located in a second zone in the electric vehicle.

26. The method of claim 18 further comprising providing an indication regarding safety of the battery on a human to machine interface in the electric vehicle based on the predicted battery parameter.

27. The method of claim 18 further comprising providing an indication regarding an alternate route to a destination on a human to machine interface in the electric vehicle based on the predicted battery parameter, a speed of the electric vehicle, and a distance to the destination.

28. Canceled

29. A computing device comprising: a processor; and a memory storing instructions which when executed by the processor configure the processor to: receive electrochemical impedance measurements of batteries of a plurality of electric vehicles via a network; receive data about driving operations from the plurality of electric vehicles via the network; correlate the electrochemical impedance measurements and the data about driving operations; determine usage patterns of the batteries based on the correlated data;

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AMENDED SHEET (ARTICLE 19) provide, to a manufacturer of the batteries via the network, the data about driving operations to test the batteries under conditions similar to the driving operations; and provide, to the manufacturer of the batteries via the network, the usage patterns to predict life and safety of the batteries and optimize design parameters for subsequent battery designs.

30. The system of claim 1 wherein the adjustments are further based on driving behavior of a driver of the electric vehicle.

31. The system of claim 1 wherein the controller is further configured to output a recommendation to modify driving behavior of a driver of the electric vehicle based on the predicted state of health of the battery.

32. The system of claim 1 wherein the adjustments fulfill settings preferred by a driver of the electric vehicle and constrain settings preferred by other occupants of the electric vehicle.

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