Guangzhou Automobile Group Co., Ltd.

Dadiao Ning

Jun Wang

Chao Liu

Jiucai Zhang

Jin Shang

Qiang Ren

Sheng Hui

Sichao Guo

Ao Mei

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

Growing community of inventors

Guangdong, China

Dadiao Ning