Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
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- Fusion of heterogeneous data for robust degradation prognosticsEdgar Jaber, Emmanuel Remy, Vincent Chabridon, Mathilde Mougeot, Didier Lucor · 2026 · Reliability Engineering & System Safety
- Time-Dependent Reliability Analysis in Operation: Prognostics and Health ManagementChao Kun Hu, Byeng Dong Youn, Pingfeng Wang · 2018 · Springer series in reliability engineering
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- Internal Short Circuit Detection in Battery Pack Based on Internal Resistance ParametersYong Chen, Lei Gao, Rui Yang, Zhengyuan Wu, Linjing Zhang · 2024 · IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific)
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- Electric vehicle pattern-based battery cycling dataset and its application in predicting rapid degradationJaewook Lee, Seonyoung Jegal, Mikyung Chung, Seunghyun Kim, Seung Hyun Kim, Dong-Wook Koh, Jay Lee · 2025 · Journal of Energy Storage
- A dual-level approach for lithium-ion battery RUL prognosisZhe Ye, Lingling Zhao, Zhuo Wang, Peijun Ma, Xiaohong Su, MICHAEL G. PECHT, Long Pang · 2015 · IEEE Conference on Prognostics and Health Management
- Remaining useful life estimation of lithium-ion battery using exemplar-based conditional particle filterZhenbao Liu, Gaoyuan Sun, Shuhui Bu, Chao Zhang · 2015 · IEEE Conference on Prognostics and Health Management
- Cycle life prediction of lithium-ion batteries based on SIR particle filteringYe Xuan, Fang Hua-jing · 2013 · Chinese Control and Decision Conference (CCDC)
- State Space Models Based Prognostic Methods for Remaining Useful Life Prediction of Rechargeable BatteriesDong Wang, Kwok‐Leung Tsui · 2017 · ICSA book series in statistics
- A Prognostic Approach Based on Particle Filtering and Optimized Tuning Kernel SmoothingYang Hu, Piero Baraldi, Francesco Di Maio, Enrico Zio · 2014 · PHM Society European Conference
- Particle Filtering framework for Health Monitoring of Lithium-Ion Batteries using Ampere-hour Throughput based Semi-Empirical ModelBikky Routh, Arijit Guha, Amit Patra, Siddhartha Mukhopadhyay · 2021 · IEEE Conference on Prognostics and Health Management
- An End-to-End Learning Framework for Battery Capacity-Fade Trajectory Prediction Using Early Life DataJinqiang Liu, Adam Thelen, Chao Hu, Xiaoguang Yang · 2021 · Annual Conference of the PHM Society
- Prediction of lithium-ion battery capacity and remaining useful life based on characteristic ohmic resistance modelYiming Yao, Huipeng Li, Zhe Guang Zhou, Zhiduan Cai, Zuxin Li · 2022 · China Automation Congress (CAC)
- RUL prediction of lithium batteries based on DLUKF algorithmTing Hao Tang, Huimei Yuan, Jun Zhu · 2020 · IEEE Conference on Industrial Electronics and Applications (ICIEA)
- State of Health Estimation for Lithium-ion batteries Based on Extreme Learning Machine with Improved Blinex LossWentao Ma, Panfei Cai, Fengyuan Sun, Xiaofei Wang, Junyu Gong · 2022 · International Journal of Electrochemical Science
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- Training-free state of health and state of charge estimation of batteries using the theory of evidenceHarsha Vardhana Jetti, Alessio De Angelis, Simona Salicone, Paolo Carbone · 2025 · Journal of Energy Storage
- Machine learning approach for lifespan prediction of second-life lithium-ion batteriesAyedh H. Alqahtani, Hany Mohamed Hasanien, H.M.A. Fahmy, Marcos Tostado‐Véliz, Francisco Jurado · 2025 · Results in Engineering
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- A degradation-enhanced physics-informed neural network for state of health estimation of lithium-ion batteriesZhihong Chen, Songlin Li, Jun Zhu, Siliang Lu, Lei Mao, Haowei Wang · 2026 · Reliability Engineering & System Safety