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Title:
ELECTRIC AUTOMOBILE ENERGY CONSUMPTION PREDICTION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2021/244632
Kind Code:
A1
Abstract:
An electric automobile energy consumption prediction method and system relating to the field of automobiles. The method comprises: acquiring historical driving data of an electric automobile (101); performing segmentation processing on the historical driving data to obtain travel segment data and dynamic segment data (102); predicting the working condition of the electric automobile by using the dynamic segment data and a Markov-Monte Carlo method to obtain working condition prediction data of the electric automobile (103); acquiring driving characteristic parameters and energy consumption data of the travel segment data (104); taking the driving characteristic parameters of the travel segment data as input and energy consumption data as output, and establishing an energy consumption prediction model by using a machine learning method (105); acquiring driving characteristic parameters of the working condition prediction data (106); and inputting the driving characteristic parameters of the working condition prediction data into the established energy consumption prediction model to obtain an energy consumption prediction value (107). According to the method, on the basis of the historical driving data of the electric automobile, driving characteristics thereof are extracted; on the basis of the current state of the vehicle, the future driving condition of the vehicle is firstly predicted during energy consumption prediction, and prediction of the future driving condition of the vehicle is integrated into the energy consumption prediction process, thereby improving the precision accuracy of energy consumption of the electric automobile under actual driving conditions.

Inventors:
WANG ZHENPO (CN)
LIU PENG (CN)
ZHANG JIN (CN)
ZHANG ZHAOSHENG (CN)
Application Number:
PCT/CN2021/098285
Publication Date:
December 09, 2021
Filing Date:
June 04, 2021
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Assignee:
BEIJING INSTITUTE TECH (CN)
International Classes:
G06F30/27
Foreign References:
CN111666715A2020-09-15
CN110610260A2019-12-24
CN110728772A2020-01-24
US20180118033A12018-05-03
Attorney, Agent or Firm:
BEIJING GAOWO LAW FIRM (CN)
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