公开(公告)号：EP4390421A1

公开(公告)日：2024-06-26

申请号：EP22216134.1

申请日：2022-12-22

申请人： Ningbo Geely Automobile Research & Development Co., Ltd. ,  Zhejiang Geely Holding Group Co., Ltd.

发明人： ZHANG, Yizhou ,  ZOU, Changfu ,  WIK, Torsten

IPC分类号： G01R31/392

CPC分类号： G01R31/392 ,  G01R31/367

摘要： A method for estimation of state of health of a rechargeable battery (5). The method comprises: obtaining input data of a set of predetermined battery features that jointly indicates State of Health of the battery (5); applying a plurality of machine learning algorithms to conduct state of health estimation of the battery (5), wherein each machine learning algorithm, based on obtained input data from the battery features, calculates an estimation of state of health of the battery (5), as well as quantitative estimation of a confidence interval/value of the state of health estimation of the battery (5); and applying a Kalman filter based fusion algorithm for combining the state of health estimations from all of said plurality of machine learning algorithms, for providing a fused state of health estimation.