Verfahren zur Schätzung des Gesundheitszustands einer Batterie

Details

Veröffentlichungs-Nr.

EP4390421

Aktenzeichen

EP22216134

Anmeldetag

22. Dezember 2022

Veröffentlichung

23. Juli 2025

Erteilung

23. Juli 2025

Rechtsraum

EP

IPC

G01R31/392

Abstract

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.

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Firmen

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

Land

🇨🇳 China

Fachgebiete