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US 2022/0187374 A1Published application
Method and System for Optimizing BMS model, Storage Medium and Electric Vehicle
AssigneeGuangzhou Automobile Group Co., Ltd.
InventorsJiucai ZHANG, Jun WANG, Chao LIU, Jin SHANG, Qiang REN, Ao MEI, Dadiao NING, Sichao GUO, Sheng HUI
Life of this patent
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Abstract
Provided are a method and a system for optimizing a BMS model. The method includes: creating a BMS model based on test data of a battery; selecting sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and giving a corresponding weight to each of the selected sample vehicles; optimizing the BMS model based on the data of the selected sample vehicles.
Claims20
A method for optimizing a BMS model, comprising:
- creating a BMS model based on test data of a battery;
- selecting sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and giving a corresponding weight to each of the selected sample vehicles;
- optimizing the BMS model based on the data of the selected sample vehicles.
A system for optimizing a BMS model, comprising:
- creation module, is configured to create a BMS model based on test data of a battery;
- selection module, is configured to select sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and give a corresponding weight to each of the selected sample vehicles;
- optimization module, is configured to optimize the BMS model based on the data of the selected sample vehicles.
Dependencies are inferred from the claim text.