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1. Jointed SOH Estimation of Electric Bus Batteries Based on Operating Conditions and Multiple Indicators. (2025). Wu, Xiaohua ; Deng, Pengyi ; Yang, Jibin ; Xu, Xiaohui ; Zhou, Haolan ; Cheng, Linsui.
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2. State of Health Prediction of Pure Electric Vehicle Batteries Based on Patch Wavelet Transformer. (2025). Chen, Lin ; Yuan, Siquan ; Liu, Yuhang ; Hu, Jie ; Wei, Min.
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3. An adaptive mixture prior in Bayesian convolutional autoencoder for early detecting anomalous degradation behaviors in lithium-ion batteries. (2025). Chae, Sun Geu ; Bae, Suk Joo.
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4. Deep learning model-based real-time state-of-health estimation of lithium-ion batteries under dynamic operating conditions. (2025). Zhou, Chaobin ; Wang, Yufan ; Tang, Telu ; Yang, Xiangguo ; Li, Muheng ; Huang, Hai ; Guan, Cong.
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5. A deep learning multi-feature based fusion model for predicting the state of health of lithium-ion batteries. (2025). Chinnathambi, Arunachalam ; Varuvel, Edwin Geo ; Femilda, J S ; Sonthalia, Ankit ; Subramanian, Thiyagarajan ; Kiani, Farzad.
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6. Prognostication of lithium-ion battery capacity fade based on data space compression visualization and SMA-ISVR. (2025). Li, Jiaqi ; Ma, Yan ; Chen, Hong ; Gao, Jinwu.
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7. A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting. (2025). Lin, Jun-Jie ; Chen, Xiao-Rui ; Luo, Xing-Fu ; Zhang, Shu-Rui ; Huang, Ya-He ; Liu, Zhi-Feng ; Tang, YU ; Guo, Liang.
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8. Remaining Useful Life Estimation of Lithium-Ion Batteries Based on Small Sample Models. (2024). Xia, Weihuan ; Zhu, Yunhai ; Yue, Chuanxu ; Sun, Wei ; Liu, LU.
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9. Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture. (2024). Cho, Yongyun ; Venkatesan, Saravanakumar.
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10. Applications of artificial neural network based battery management systems: A literature review. (2024). Yetgin, Zeki ; Ozbaltan, Mete ; Kurucan, Mehmet ; Alkaya, Alkan.
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11. An embedding layer-based quantum long short-term memory model with transfer learning for proton exchange membrane fuel stack remaining useful life prediction. (2024). Woldegiorgis, Bereket Haile ; Lo, Shih-Che ; Kebede, Getnet Awoke ; Wang, Fu-Kwun.
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12. An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition. (2024). Fan, Yongcun ; Zhu, Tao ; Wang, Shunli ; Huang, QI ; Hai, Nan ; Fernandez, Carlos.
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13. A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images. (2024). Zhou, Yinghong ; Zhang, XU ; Que, Xiaoping ; Feng, Weiguo ; Cai, Nian.
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14. A hybrid deep learning approach for remaining useful life prediction of lithium-ion batteries based on discharging fragments. (2024). Chen, Zhongwei ; Mao, Zhiyu ; Liu, Yunpeng ; Ahmed, Moin ; Feng, Jiangtao ; Hou, BO.
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15. Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems. (2024). Yin, Linfei ; Zheng, DA.
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16. Lithium-Ion Battery Remaining Useful Life Prediction Based on Hybrid Model. (2023). Tang, Xuliang ; Wang, Weiwen ; Gu, Mengxu ; Gan, Linfeng.
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17. Prognosis of Lithium-Ion Batteries’ Remaining Useful Life Based on a Sequence-to-Sequence Model with Variational Mode Decomposition. (2023). He, Zhiwei ; Bao, Zhengyi ; Gao, Mingyu ; Zhu, Chunxiang.
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18. A Review on Testing of Electrochemical Cells for Aging Models in BESS. (2023). Mandelli, Stefano ; Colnago, Silvia ; Pakjoo, Mehrshad ; Merlo, Marco ; Piegari, Luigi ; Mengou, Joseph Epoupa ; Rancilio, Giuliano ; Gorni, Giacomo ; Bresciani, Federico.
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19. A Method for Predicting the Life of Lithium-Ion Batteries Based on Successive Variational Mode Decomposition and Optimized Long Short-Term Memory. (2023). Hu, Yujun ; Shi, Yongsheng ; Zhai, Xinran ; Li, Tailin ; Wang, Leicheng ; Lu, Hongzhou ; He, Beichen.
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20. Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation. (2023). Zhang, Ying ; Li, Yan-Fu ; Wang, Huan.
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21. CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection. (2023). Ibrahim, Rania A ; Attallah, Omneya ; Zakzouk, Nahla E.
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22. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. (2023). Fan, Yongcun ; Jin, Siyu ; Wang, Shunli ; Takyi-Aninakwa, Paul ; Fernandez, Carlos.
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23. Multiple health indicators fusion-based health prognostic for lithium-ion battery using transfer learning and hybrid deep learning method. (2023). Ma, Yan ; Gao, Jinwu ; Chen, Hong ; Shan, CE.
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24. State of health estimation of lithium-ion batteries based on fine-tuning or rebuilding transfer learning strategies combined with new features mining. (2023). Lv, Ziteng ; Guo, Yongfang ; Yao, Kaixin ; Huang, Kai.
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25. A deep feature learning method for remaining useful life prediction of drilling pumps. (2023). Guo, Junyu ; Wan, Jia-Lun ; Li, HE ; Zhang, Fangfang ; Huang, Bangkui ; Tang, Aimin ; Yang, Yan ; Dai, LE.
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26. Hybrid deep neural network with dimension attention for state-of-health estimation of Lithium-ion Batteries. (2023). Bao, Xinyuan ; Li, Xin ; Xie, Siqiang ; Chen, Liping ; Lopes, Antonio M.
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27. A novel hybrid scheme for remaining useful life prognostic based on secondary decomposition, BiGRU and error correction. (2023). Wang, Wenbo ; Zhu, Ting ; Yu, Min.
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28. Prediction of remaining useful life and state of health of lithium batteries based on time series feature and Savitzky-Golay filter combined with gated recurrent unit neural network. (2023). Wu, Xiongwei ; Wang, Tao ; Liu, Lili ; Fu, Lijun ; Ye, Jilei ; Guo, Fei.
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29. A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model. (2023). Li, Penghua ; Zhang, Neng ; Zhao, Liang ; See, K W ; Shan, Kangheng ; Lim, Kai Chin ; Wang, Yunpeng ; Gu, Xinyu.
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30. Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles. (2023). Deng, Zhongwei ; Duan, Zhixuan ; Xu, YU ; Hu, Xiaosong ; Liu, Hongao.
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31. Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Improved Variational Mode Decomposition and Machine Learning Algorithm. (2022). Jia, Zhenhong ; Shi, Qiyang ; Zhang, Jun ; Sun, Chuang ; Qu, AN.
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32. A New Hybrid Neural Network Method for State-of-Health Estimation of Lithium-Ion Battery. (2022). Bao, Zhengyi ; Gao, Mingyu ; Jiang, Jiahao ; Zhu, Chunxiang.
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33. Remaining useful life prediction for 18650 sodium-ion batteries based on incremental capacity analysis. (2022). Song, Ziyou ; Balaya, Palani ; Ye, Min ; Wei, Meng.
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34. A fast state-of-health estimation method using single linear feature for lithium-ion batteries. (2022). Mei, Xuesong ; Shi, Mingjie ; Xu, Jun ; Lin, Chuanping.
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35. Battery monitoring and prognostics optimization techniques: Challenges and opportunities. (2022). Dassisti, Michele ; Caggiano, Mariateresa ; Semeraro, Concetta ; Olabi, Abdul-Ghani.
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36. A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction. (2022). Ma, Yan ; Gao, Jinwu ; Chen, Hong ; Shan, CE.
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37. Remaining useful life prediction of lithium-ion batteries using a hybrid model. (2022). Wu, Youxi ; He, Wenxuan ; Ding, Fei ; Yao, Fang ; Meng, Defang.
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38. Adaptive online capacity prediction based on transfer learning for fast charging lithium-ion batteries. (2022). Chen, Zhang ; Shen, Wenjing ; Wang, Shuqiang.
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39. Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction. (2022). Hu, Yusha ; Man, YI ; Hong, Mengna ; Ren, Jingzheng ; Li, Jigeng.
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40. A hybrid method with cascaded structure for early-stage remaining useful life prediction of lithium-ion battery. (2022). Liu, Yongjie ; Yan, Lisen ; Peng, Jun ; Gao, Dianzhu ; Huang, Zhiwu ; Wu, Yue.
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41. A review on second-life of Li-ion batteries: prospects, challenges, and issues. (2022). Roy, Probir Kumar ; Shahjalal, Mohammad ; Ahmed, Md Rishad ; Liu, Kailong ; Chowdhury, Jahedul Islam ; Fly, Ashley ; Shams, Tamanna.
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42. A fault diagnosis method for small pressurized water reactors based on long short-term memory networks. (2022). Wu, Shifa ; Wang, Pengfei ; Zhang, Jiaxuan.
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43. Integrated framework for SOH estimation of lithium-ion batteries using multiphysics features. (2022). Jeong, Siheon ; Son, Seho ; Oh, Ki-Yong ; Kim, Jun-Hyeong ; Kwak, Eunji.
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44. Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries. (2022). Kim, Sungwook ; Lee, Seungchul ; Oh, Ki-Yong.
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