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Current sensor fault diagnosis method based on an improved equivalent circuit battery model

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  1. Yu, Quanqing & Nie, Yuwei & Peng, Simin & Miao, Yifan & Zhai, Chengzhi & Zhang, Runfeng & Han, Jinsong & Zhao, Shuo & Pecht, Michael, 2023. "Evaluation of the safety standards system of power batteries for electric vehicles in China," Applied Energy, Elsevier, vol. 349(C).
  2. Jia, Zirun & Wang, Zhenpo & Sun, Zhenyu & Chen, Xiaohui & Liu, Peng & Sun, Fengchun & Zhong, Chenxing & Ruzzenenti, Franco, 2025. "A multidimensional anomaly detection framework for battery capacity degradation in electric vehicles using real-world data," Energy, Elsevier, vol. 335(C).
  3. Zhao, Hongqian & Chen, Zheng & Shu, Xing & Xiao, Renxin & Shen, Jiangwei & Liu, Yu & Liu, Yonggang, 2024. "Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
  4. Cheng, Xingqun & Liu, Xiaolong & Li, Xinxin & Yu, Quanqing, 2024. "An intelligent fusion estimation method for state of charge estimation of lithium-ion batteries," Energy, Elsevier, vol. 286(C).
  5. Yang, Qifan & Sun, Jinlei & Kang, Yongzhe & Ma, Hongzhong & Duan, Dawei, 2023. "Internal short circuit detection and evaluation in battery packs based on transformation matrix and an improved state-space model," Energy, Elsevier, vol. 276(C).
  6. Liu, Huimin & Lin, Cheng & Yu, Xiao & Tao, Zhenyi & Xu, Jiaqi, 2024. "Variable horizon multivariate driving pattern recognition framework based on vehicle-road two-dimensional information for electric vehicle," Applied Energy, Elsevier, vol. 365(C).
  7. Peng, Simin & Miao, Yifan & Xiong, Rui & Bai, Jiawei & Cheng, Mengzeng & Pecht, Michael, 2024. "State of charge estimation for a parallel battery pack jointly by fuzzy-PI model regulator and adaptive unscented Kalman filter," Applied Energy, Elsevier, vol. 360(C).
  8. Zhao, Fangze & Zhou, Hao & Liu, Xuyang & Cai, Hongchang & Chen, Jianguo & Zhu, Zhicheng & Niu, Yue & Li, Xiangjun & Hua, Jianfeng & Zheng, Yuejiu, 2025. "Life degradation monitoring using generated constant-current charging voltage curves for lithium-ion batteries," Energy, Elsevier, vol. 324(C).
  9. Li, Fang & Min, Yongjun & Zhang, Yong & Zuo, Hongfu & Bai, Fang & Zhang, Ying, 2025. "Towards general and efficient fault diagnosis: A novel framework for multi-fault cross-domain diagnosis of lithium-ion batteries in real-world scenarios," Energy, Elsevier, vol. 334(C).
  10. 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).
  11. Xu, Yiming & Ge, Xiaohua & Guo, Ruohan & Shen, Weixiang, 2025. "Recent advances in model-based fault diagnosis for lithium-ion batteries: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
  12. Peng, Simin & Sun, Yunxiang & Liu, Dandan & Yu, Quanqing & Kan, Jiarong & Pecht, Michael, 2023. "State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network," Energy, Elsevier, vol. 282(C).
  13. Tang, Aihua & Jiang, Yihan & Nie, Yuwei & Yu, Quanqing & Shen, Weixiang & Pecht, Michael G., 2023. "Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network," Energy, Elsevier, vol. 279(C).
  14. Zhao, Yiwen & Deng, Junjun & Liu, Peng & Zhang, Lei & Cui, Dingsong & Wang, Qiushi & Sun, Zhenyu & Wang, Zhenpo, 2025. "Enhancing battery durable operation: Multi-fault diagnosis and safety evaluation in series-connected lithium-ion battery systems," Applied Energy, Elsevier, vol. 377(PC).
  15. Zhang, Zhao & Ma, Jian & Ma, Yucheng & Gong, Xianwu & Xiangli, Kang & Zhao, Xuan, 2025. "Battery abnormality detection based on important sample selection for large-scale vehicle monitoring," Applied Energy, Elsevier, vol. 388(C).
  16. Zhao, Xinze & Sun, Bingxiang & Zhang, Weige & He, Xitian & Ma, Shichang & Zhang, Junwei & Liu, Xiaopeng, 2024. "Error theory study on EKF-based SOC and effective error estimation strategy for Li-ion batteries," Applied Energy, Elsevier, vol. 353(PA).
  17. Li, Heng & Liu, Zhijun & Bin Kaleem, Muaaz & Duan, Lijun & Ruan, Siqi & Liu, Weirong, 2025. "Fault detection for lithium-ion batteries of electric vehicles with spatio-temporal autoencoder," Applied Energy, Elsevier, vol. 392(C).
  18. Manuel R. Arahal & Alfredo Pérez Vega-Leal & Manuel G. Satué & Sergio Esteban, 2024. "Assessing SOC Estimations via Reverse-Time Kalman for Small Unmanned Aircraft," Energies, MDPI, vol. 17(20), pages 1-12, October.
  19. Zhu, Yunlong & Dong, Zhe & Cheng, Zhonghua & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2023. "Neural network extended state-observer for energy system monitoring," Energy, Elsevier, vol. 263(PA).
  20. Ren, Song & Sun, Jing, 2024. "Multi-fault diagnosis strategy based on a non-redundant interleaved measurement circuit and improved fuzzy entropy for the battery system," Energy, Elsevier, vol. 292(C).
  21. Zhou, Yuekuan, 2024. "Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence," Applied Energy, Elsevier, vol. 371(C).
  22. Xu, Yiming & Ge, Xiaohua & Shen, Weixiang, 2024. "Multi-objective nonlinear observer design for multi-fault detection of lithium-ion battery in electric vehicles," Applied Energy, Elsevier, vol. 362(C).
  23. Tang, Aihua & Huang, Yukun & Xu, Yuchen & Hu, Yuanzhi & Yan, Fuwu & Tan, Yong & Jin, Xin & Yu, Quanqing, 2024. "Data-physics-driven estimation of battery state of charge and capacity," Energy, Elsevier, vol. 294(C).
  24. Shen, Dongxu & Yang, Dazhi & Lyu, Chao & Ma, Jingyan & Hinds, Gareth & Sun, Qingmin & Du, Limei & Wang, Lixin, 2024. "Multi-sensor multi-mode fault diagnosis for lithium-ion battery packs with time series and discriminative features," Energy, Elsevier, vol. 290(C).
  25. Li, Yang & Gao, Guoqiang & Chen, Kui & He, Shuhang & Liu, Kai & Xin, Dongli & Wu, Guangning, 2025. "A hybrid AFM-BiLSTM model for lithium-ion battery capacity prediction using fused features," Energy, Elsevier, vol. 338(C).
  26. Shen, Dongxu & Lyu, Chao & Yang, Dazhi & Hinds, Gareth & Wang, Lixin, 2023. "Connection fault diagnosis for lithium-ion battery packs in electric vehicles based on mechanical vibration signals and broad belief network," Energy, Elsevier, vol. 274(C).
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