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Data-driven Battery SOC Estimation:A CNN-ResNet-BiLSTM Framework

Chuanxin Fan Yanfu Liu Kailong Liu Qiao Peng

Chinese Journal of Electrical Engineering2026，Vol.12Issue(1)：P.133-143,11.

Chinese Journal of Electrical Engineering2026，Vol.12Issue(1)：P.133-143,11.DOI:10.23919/CJEE.2026.000008

Data-driven Battery SOC Estimation:A CNN-ResNet-BiLSTM Framework

Chuanxin Fan ¹Yanfu Liu ¹Kailong Liu ²Qiao Peng³

作者信息

1. School of Automation,Nanjing Institute of Technology,Nanjing 211167,China
2. Shenzhen Research Institute of Shandong University,Shandong University,Shenzhen 518000,China
3. Information Technology,Analytics&Operations Group,Queen’s University Belfast,Belfast BT95EE,UK
折叠

摘要

关键词

Lithium-ion battery/state-of-charge/CNN-ResNet-BiLSTM/grey relational analysis

分类

信息技术与安全科学

引用本文复制引用

Chuanxin Fan,Yanfu Liu,Kailong Liu,Qiao Peng..Data-driven Battery SOC Estimation:A CNN-ResNet-BiLSTM Framework[J].Chinese Journal of Electrical Engineering,2026,12(1):P.133-143,11.

基金项目

Supported by the National Natural Science Foundation of China(62373224) （62373224）

Natural Science Foundation of the Jiangsu Higher Education Institutions of China(25KJB470014) （25KJB470014）

Natural Science Foundation of Shandong Province(ZR2024JQ021) （ZR2024JQ021）

Shenzhen Science and Technology Program(GJHZ20240218113404009)。（GJHZ20240218113404009）

Chinese Journal of Electrical Engineering

ISSN：2096-1529

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