Guangzhou Automobile Group Co., Ltd.

Ao Mei

Jun Wang

Chao Liu

Jiucai Zhang

Jin Shang

Qiang Ren

Dadiao Ning

Sheng Hui

Sichao Guo

A method and apparatus for optimizing a battery management system (BMS) are provided. The method includes: obtaining training data, wherein the training data comprises data from a target vehicle and data from auxiliary vehicles, and the auxiliary vehicles are vehicles mounted with a same or similar battery system as the target vehicle; optimizing a BMS related algorithm for the target vehicle by performing transfer learning based on the training data, wherein the BMS related algorithm comprises one or a combination of: a battery model, parameters for the battery model, a battery management algorithm, and parameters for the battery management algorithm.

Method and apparatus for optimizing battery management system

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.

Method and system for optimizing BMS model, storage medium and electric vehicle

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Guangdong, China

Ao Mei