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Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

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Cited by:

  1. Yang, Bo & Qian, Yucun & Li, Qiang & Chen, Qian & Wu, Jiyang & Luo, Enbo & Xie, Rui & Zheng, Ruyi & Yan, Yunfeng & Su, Shi & Wang, Jingbo, 2024. "Critical summary and perspectives on state-of-health of lithium-ion battery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
  2. Chen, Junxiong & Hu, Yuanjiang & Zhu, Qiao & Rashid, Haroon & Li, Hongkun, 2023. "A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging," Energy, Elsevier, vol. 282(C).
  3. Fujin Wang & Zhi Zhai & Zhibin Zhao & Yi Di & Xuefeng Chen, 2024. "Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  4. Meng, Jinhao & You, Yuqiang & Lin, Mingqiang & Wu, Ji & Song, Zhengxiang, 2024. "Multi-scenarios transferable learning framework with few-shot for early lithium-ion battery lifespan trajectory prediction," Energy, Elsevier, vol. 286(C).
  5. Das, Kaushik & Kumar, Roushan & Krishna, Anurup, 2024. "Analyzing electric vehicle battery health performance using supervised machine learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
  6. Xing, W.W. & Zhang, Z. & Shah, A.A., 2025. "Enhanced Gaussian process dynamical modeling for battery health status forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
  7. Zhou, Yuekuan, 2024. "AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing," Renewable Energy, Elsevier, vol. 225(C).
  8. Wang, Huan & Li, Yan-Fu & Zhang, Ying, 2023. "Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  9. Wang, Fujin & Zhao, Zhibin & Zhai, Zhi & Shang, Zuogang & Yan, Ruqiang & Chen, Xuefeng, 2023. "Explainability-driven model improvement for SOH estimation of lithium-ion battery," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
  10. Ester Vasta & Tommaso Scimone & Giovanni Nobile & Otto Eberhardt & Daniele Dugo & Massimiliano Maurizio De Benedetti & Luigi Lanuzza & Giuseppe Scarcella & Luca Patanè & Paolo Arena & Mario Cacciato, 2023. "Models for Battery Health Assessment: A Comparative Evaluation," Energies, MDPI, vol. 16(2), pages 1-34, January.
  11. Gong, Dongliang & Gao, Ying & Kou, Yalin & Wang, Yurang, 2022. "State of health estimation for lithium-ion battery based on energy features," Energy, Elsevier, vol. 257(C).
  12. Wang, Yonggang & Yu, Yadong & Ma, Yuanchu & Shi, Jie, 2025. "Lithium-ion battery health state estimation based on improved snow ablation optimization algorithm-deep hybrid kernel extreme learning machine," Energy, Elsevier, vol. 323(C).
  13. Muhammad Waseem & Jingyuan Huang & Chak-Nam Wong & C. K. M. Lee, 2023. "Data-Driven GWO-BRNN-Based SOH Estimation of Lithium-Ion Batteries in EVs for Their Prognostics and Health Management," Mathematics, MDPI, vol. 11(20), pages 1-27, October.
  14. Zhou, Yifei & Wang, Shunli & Feng, Renjun & Xie, Yanxin & Fernandez, Carlos, 2024. "Multi-temperature capable enhanced bidirectional long short term memory-multilayer perceptron hybrid model for lithium-ion battery SOC estimation," Energy, Elsevier, vol. 312(C).
  15. Liyuan Shao & Yong Zhang & Xiujuan Zheng & Xin He & Yufeng Zheng & Zhiwei Liu, 2023. "A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods," Energies, MDPI, vol. 16(3), pages 1-22, February.
  16. Deng, Weikun & Le, Hung & Nguyen, Khanh T.P. & Gogu, Christian & Medjaher, Kamal & Morio, Jérôme & Wu, Dazhong, 2025. "A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data," Applied Energy, Elsevier, vol. 384(C).
  17. Park, Sung-Won & Yu, Jung-Un & Lee, Jin-Wook & Son, Sung-Yong, 2024. "A comprehensive review of battery-based power service applications considering degradation: Research status and model integration," Applied Energy, Elsevier, vol. 374(C).
  18. Solmaz Nazaralizadeh & Paramarshi Banerjee & Anurag K. Srivastava & Parviz Famouri, 2024. "Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics," Energies, MDPI, vol. 17(5), pages 1-21, March.
  19. Sonthalia, Ankit & Femilda Josephin, J.S. & Varuvel, Edwin Geo & Chinnathambi, Arunachalam & Subramanian, Thiyagarajan & Kiani, Farzad, 2025. "A deep learning multi-feature based fusion model for predicting the state of health of lithium-ion batteries," Energy, Elsevier, vol. 317(C).
  20. Zhou, Yifei & Wang, Shunli & Xie, Yanxing & Shen, Xianfeng & Fernandez, Carlos, 2023. "Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm," Energy, Elsevier, vol. 285(C).
  21. Kumar, Roushan & Das, Kaushik & Krishna, Anurup, 2024. "Comparative analysis of data-driven electric vehicle battery health models across different operating conditions," Energy, Elsevier, vol. 309(C).
  22. Huang, Yaodi & Zhang, Pengcheng & Lu, Jiahuan & Xiong, Rui & Cai, Zhongmin, 2024. "A transferable long-term lithium-ion battery aging trajectory prediction model considering internal resistance and capacity regeneration phenomenon," Applied Energy, Elsevier, vol. 360(C).
  23. Majid Gharebaghi & Omid Rezaei & Changyao Li & Zhanle Wang & Yili Tang, 2024. "A Survey on Using Second-Life Batteries in Stationary Energy Storage Applications," Energies, MDPI, vol. 18(1), pages 1-33, December.
  24. Zheng, Jianfei & Ren, Jincheng & Zhang, Jianxun & Pei, Hong & Zhang, Zhengxin, 2023. "A lifetime prediction method for Lithium-ion batteries considering storage degradation of spare parts," Energy, Elsevier, vol. 282(C).
  25. Gharehghani, Ayat & Rabiei, Moeed & Mehranfar, Sadegh & Saeedipour, Soheil & Mahmoudzadeh Andwari, Amin & García, Antonio & Reche, Carlos Mico, 2024. "Progress in battery thermal management systems technologies for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  26. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
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