A comparative study of different deep learning algorithms for lithium-ion batteries on state-of-charge estimation

Citations

Cited by:

1. Chianese, Giovanni & Iannucci, Luigi & Veneri, Ottorino & Capasso, Clemente, 2025. "Real-time estimation of battery SoC through neural networks trained with model-based datasets: Experimental implementation and performance comparison," Applied Energy, Elsevier, vol. 389(C).
2. Buchicchio, Emanuele & De Angelis, Alessio & Santoni, Francesco & Carbone, Paolo & Bianconi, Francesco & Smeraldi, Fabrizio, 2023. "Battery SOC estimation from EIS data based on machine learning and equivalent circuit model," Energy, Elsevier, vol. 283(C).
3. Takyi-Aninakwa, Paul & Wang, Shunli & Liu, Guangchen & Fernandez, Carlos & Kang, Wenbin & Song, Yingze, 2025. "Deep learning framework designed for high-performance lithium-ion batteries state monitoring," Renewable and Sustainable Energy Reviews, Elsevier, vol. 218(C).
4. Zhang, Chaolong & Luo, Laijin & Yang, Zhong & Du, Bolun & Zhou, Ziheng & Wu, Ji & Chen, Liping, 2024. "Flexible method for estimating the state of health of lithium-ion batteries using partial charging segments," Energy, Elsevier, vol. 295(C).
5. Bian, Chong & Duan, Zhiyu & Hao, Yaqian & Yang, Shunkun & Feng, Junlan, 2024. "Exploring large language model for generic and robust state-of-charge estimation of Li-ion batteries: A mixed prompt learning method," Energy, Elsevier, vol. 302(C).
6. Jiang, Bo & Tao, Siyi & Wang, Xueyuan & Zhu, Jiangong & Wei, Xuezhe & Dai, Haifeng, 2023. "Mechanics-based state of charge estimation for lithium-ion pouch battery using deep learning technique," Energy, Elsevier, vol. 278(PA).
7. Li, Feng & Zuo, Wei & Zhou, Kun & Li, Qingqing & Huang, Yuhan & Zhang, Guangde, 2024. "State-of-charge estimation of lithium-ion battery based on second order resistor-capacitance circuit-PSO-TCN model," Energy, Elsevier, vol. 289(C).
8. Wu, Xiaobo & Chen, Liping & Lopes, António M. & Ma, Hongli & Zhang, Chaolong & Li, Penghua & Guo, Wenliang & Yin, Lisheng, 2025. "Fractional variable-order observer-based method for state-of-charge estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 389(C).
9. Li, Hao & Fu, Lijun & Long, Xinlin & Liu, Lang & Zeng, Ziqing, 2024. "A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention," Energy, Elsevier, vol. 294(C).
10. Li, Da & Zhang, Lei & Zhang, Zhaosheng & Liu, Peng & Deng, Junjun & Wang, Qiushi & Wang, Zhenpo, 2023. "Battery safety issue detection in real-world electric vehicles by integrated modeling and voltage abnormality," Energy, Elsevier, vol. 284(C).
11. Xie, Yanxin & Wang, Shunli & Zhang, Gexiang & Fan, Yongcun & Fernandez, Carlos & Blaabjerg, Frede, 2023. "Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 336(C).
12. He, Xitian & Sun, Bingxiang & Zhang, Weige & Su, Xiaojia & Ma, Shichang & Li, Hao & Ruan, Haijun, 2023. "Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation," Energy, Elsevier, vol. 277(C).
13. Qi, Wei & Qin, Wenhu & Yun, Zhonghua, 2024. "Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter," Energy, Elsevier, vol. 307(C).
14. Wang, Xiaoxuan & Yi, Yingmin & Yuan, Yiwei & Li, Xifei, 2025. "Enhanced state of charge estimation in lithium-ion batteries based on Time-Frequency-Net with time-domain and frequency-domain features," Energy, Elsevier, vol. 318(C).
15. Zhang, Chengzhong & Zhao, Hongyu & Wang, Liye & Liao, Chenglin & Wang, Lifang, 2024. "A comparative study on state-of-charge estimation for lithium-rich manganese-based battery based on Bayesian filtering and machine learning methods," Energy, Elsevier, vol. 306(C).
16. Xing, Zhizhong & Zhao, Shuanfeng & Guo, Wei & Meng, Fanyuan & Guo, Xiaojun & Wang, Shenquan & He, Haitao, 2023. "Coal resources under carbon peak: Segmentation of massive laser point clouds for coal mining in underground dusty environments using integrated graph deep learning model," Energy, Elsevier, vol. 285(C).
17. Yuan, Yongjun & Jiang, Bo & Chen, Qinpin & Wang, Xueyuan & Wei, Xuezhe & Dai, Haifeng, 2025. "A comparative study of battery state-of-charge estimation using electrochemical impedance spectroscopy by different machine learning methods," Energy, Elsevier, vol. 328(C).
18. Tang, Aihua & Huang, Yukun & Liu, Shangmei & Yu, Quanqing & Shen, Weixiang & Xiong, Rui, 2023. "A novel lithium-ion battery state of charge estimation method based on the fusion of neural network and equivalent circuit models," Applied Energy, Elsevier, vol. 348(C).
19. Duan, Linchao & Zhang, Xugang & Jiang, Zhigang & Gong, Qingshan & Wang, Yan & Ao, Xiuyi, 2023. "State of charge estimation of lithium-ion batteries based on second-order adaptive extended Kalman filter with correspondence analysis," Energy, Elsevier, vol. 280(C).
20. Hong, Jichao & Zhang, Huaqin & Zhang, Xinyang & Yang, Haixu & Chen, Yingjie & Wang, Facheng & Huang, Zhongguo & Wang, Wei, 2024. "Online accurate voltage prediction with sparse data for the whole life cycle of Lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 369(C).
21. Liu, Zixi & Ruan, Guanqiang & Tian, Yupeng & Hu, Xing & Yan, Rong & Yang, Kuo, 2024. "A real-world battery state of charge prediction method based on a lightweight mixer architecture," Energy, Elsevier, vol. 311(C).
22. Wan, Sicheng & Yang, Haojing & Lin, Jinwen & Li, Junhui & Wang, Yibo & Chen, Xinman, 2024. "Improved whale optimization algorithm towards precise state-of-charge estimation of lithium-ion batteries via optimizing LSTM," Energy, Elsevier, vol. 310(C).
23. Tang, Aihua & Xu, Yuchen & Tian, Jinpeng & Zou, Hang & Liu, Kailong & Yu, Quanqing, 2025. "Adaptive engineering-assisted deep learning for battery module health monitoring across dynamic operations," Energy, Elsevier, vol. 322(C).
24. Eyyup Aslan & Yusuf Yasa, 2024. "C-Rate- and Temperature-Dependent State-of-Charge Estimation Method for Li-Ion Batteries in Electric Vehicles," Energies, MDPI, vol. 17(13), pages 1-23, June.
25. Sheng, Wenjuan & Wang, Junkai & Peng, G.D., 2025. "Enhanced strain assistance for SOC estimation of lithium-ion batteries using FBG sensors," Applied Energy, Elsevier, vol. 383(C).
26. Chen, Laien & Zeng, Xiaoyong & Xia, Xiangyang & Sun, Yaoke & Yue, Jiahui, 2024. "A modeling and state of charge estimation approach to lithium-ion batteries based on the state-dependent autoregressive model with exogenous inputs," Energy, Elsevier, vol. 300(C).