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Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability

Peng Peng Ruixin Yang Man Chen Peng Wang Jiahuan Lu Rui Xiong

Chinese Journal of Electrical Engineering2026，Vol.12Issue(2)：P.99-108,10.

Chinese Journal of Electrical Engineering2026，Vol.12Issue(2)：P.99-108,10.DOI:10.23919/CJEE.2025.000180

Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability

Peng Peng ¹Ruixin Yang ²Man Chen ³Peng Wang ²Jiahuan Lu ⁴Rui Xiong²

作者信息

1. School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China Energy Storage Research Institute,CSG,PGC,Guangzhou 510630,China
2. School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
3. Energy Storage Research Institute,CSG,PGC,Guangzhou 510630,China
4. College of Engineering,South China Agricultural University,Guangzhou 510642,China
折叠

摘要

关键词

Lithium-ion battery/capacity degradation/remaining useful life prediction/analytical modeling/particle filter

分类

信息技术与安全科学

引用本文复制引用

Peng Peng,Ruixin Yang,Man Chen,Peng Wang,Jiahuan Lu,Rui Xiong..Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability[J].Chinese Journal of Electrical Engineering,2026,12(2):P.99-108,10.

基金项目

Supported by the National Natural Science Foundation of China(52477209,52407246,52107222) （52477209,52407246,52107222）

the Science and Technology Project of China Southern Power Grid Co,Ltd.,(STKJXM20210097). （STKJXM20210097）

Chinese Journal of Electrical Engineering

ISSN：2096-1529

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