US 12,461,164 B2
Method, system, device and medium for detecting battery state of health
Peng Ding, Shanghai (CN); Yanwen Zhang, Shanghai (CN); Weikun Wu, Shanghai (CN); Haowen Ren, Shanghai (CN); Zonglin Cai, Shanghai (CN); Guopeng Zhou, Shanghai (CN); Xiaohua Chen, Shanghai (CN); Xiao Yan, Shanghai (CN); Enhai Zhao, Shanghai (CN); Pei Song, Shanghai (CN); Danfei Gu, Shanghai (CN); and Pingchao Hao, Shanghai (CN)
Assigned to SHANGHAI MAKESENS ENERGY STORAGE TECHNOLOGY CO., LTD., Shanghai (CN)
Filed by SHANGHAI MAKESENS ENERGY STORAGE TECHNOLOGY CO., LTD., Shanghai (CN)
Filed on Aug. 24, 2023, as Appl. No. 18/237,493.
Claims priority of application No. 202211024389.4 (CN), filed on Aug. 25, 2022.
Prior Publication US 2024/0069117 A1, Feb. 29, 2024
Int. Cl. G01R 31/392 (2019.01); G01R 31/36 (2020.01); H02J 7/00 (2006.01)
CPC G01R 31/392 (2019.01) [G01R 31/3646 (2019.01); H02J 7/007 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A method for detecting a battery state of health, comprising:
extracting a target curve segment from a first charging characteristic curve of a battery under test; the first charging characteristic curve being determined according to first charging data obtained by charging the battery under test according to target charging parameters, and the target curve segment being at least one curve segment with highest correlation to the battery state of health; and
determining, according to a corresponding relation between characteristic parameters of the target curve segment and the battery state of health, the battery state of health matching the characteristic parameters of the target curve segment, and determining the battery state of health as the battery state of health of the battery under test; wherein the corresponding relation is determined according to second charging data obtained by charging a test battery of the same type as the battery under test using the target charging parameters, wherein the characteristic parameters include a charging duration,
wherein the step of extracting the target curve segment from the first charging characteristic curve of the battery under test comprises:
dividing the first charging characteristic curve into a plurality of first curve segments;
calculating a correlation coefficient of the charging duration and the battery state of health of each first curve segment; and
selecting at least one of the first curve segments with a highest correlation coefficient as the target curve segment of the first charging characteristic curve.