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State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic-deep neural networks models

Zuriani Mustaffa Mohd Herwan Sulaiman Jeremiah Isuwa

储能与节能（英文）2025，Vol.4Issue(2)：111-122,12.

储能与节能（英文）2025，Vol.4Issue(2)：111-122,12.DOI:10.1016/j.enss.2025.01.002

State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic-deep neural networks models

Zuriani Mustaffa ¹Mohd Herwan Sulaiman ²Jeremiah Isuwa³

作者信息

1. Faculty of Computing,Universiti Malaysia Pahang Al-Sultan Abdullah(UMPSA),Pekan Pahang,26600,Malaysia
2. Faculty of Electrical&Electronics Engineering Technology,Universiti Malaysia Pahang Al-Sultan Abdullah(UMPSA),Pekan Pahang,26600,Malaysia
3. Department of Computer Science,Federal University of Kashere,Kashere,Gombe,771103,Nigeria
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摘要

关键词

Deep learning/Deep neural networks/Electric vehicle/Machine learning/Optimization/State of charge estimation/Teaching-learning based optimization

Key words

Deep learning/Deep neural networks/Electric vehicle/Machine learning/Optimization/State of charge estimation/Teaching-learning based optimization

引用本文复制引用

Zuriani Mustaffa,Mohd Herwan Sulaiman,Jeremiah Isuwa..State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic-deep neural networks models[J].储能与节能（英文）,2025,4(2):111-122,12.

基金项目

This work was supported by Ministry of Higher Education Malaysia(MOHE)under Fundamental Research Grant Scheme(Grant No.:FRGS/1/2024/ICT02/UMP/02/). （MOHE）

储能与节能（英文）

ISSN：2772-6835

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