Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

Cited by (1,000)

Items 801–900 of 1,000

1. Towards trustworthy lithium-ion battery remaining useful life prediction with uncertainty quantification
   Zhibin Zhao, Mingqi Feng, Qiuyu Yu, Hongming Yuan, Fujin Wang, Zhi Zhai · 2026 · Journal of Energy Storage
2. A hybrid model for lithium-ion battery state-of-health estimation integrating TimeMixer and scaled long short-term memory networks
   Tianyu Zhang, Nan Xiang · 2026 · Journal of Energy Storage
3. Battery State-of-Health Evaluation for Roadside Energy Storage Systems in Electric Transportation
   Kailong Deng, Kaiyuan Shen, Zihao Dong, Zekai Liang, Lei Zhao, Ting Xu, Shunde Yin · 2023 · Future Transportation
4. State-of-Health Estimation of Li-ion Batteries using Multiple Linear Regression and Optimized Feature Extraction based on Principal Component Analysis
   Bikky Routh, Vikram Kumawat, Arijit Guha, Siddhartha Mukhopadhyay, Amit Patra · 2024 · IEEE Conference on Prognostics and Health Management
5. Uncertainty-corrected fractional generalized Pareto motion for lithium-ion battery life prediction and value-at-risk-based maintenance framework
   Zhen Wang, Jianxue Chen, Yan Xia Gao, Wanqing Song, Hamid Reza Karimi, Yujin Zhang, Deyu Qi · 2025 · Nonlinear Dynamics
6. Integrated battery fuel gauge and optimal charger
   Bharath Pattipati, Balakumar Balasingam, Ali Abdollahi, G.V. Avvari, Krishna Rao Pattipati, Yaakov Bar‐Shalom · 2014
7. End-of-discharge prediction for satellite lithium-ion battery based on evidential reasoning rule
   Dao Zhao, Zhijie Zhou, Peng Zhang, Yijun Zhang, Haibin Qin, Shan Gao · 2022 · Open Astronomy
8. Wiener Process and Extreme Learning Machine Swarm Based Transfer Learning for Remaining Useful Life Prediction of Lithium Battery
   Xiaowu Chen, Zhen Liu · 2023 · IEEE International Conference on Electronic Measurement & Instruments
9. Prognosis using Bayesian Method by Incorporating Physical Constraints
   Hyung Jun Park, Nam Ho Kim, Joo-Ho Choi · 2023 · PHM Society Asia-Pacific Conference
10. Battery Life Prediction Using Physics-Based Modeling and Coati Optimization
    Vahid Safavi, Arash Mohammadi Vaniar, Najmeh Bazmohammadi, Juan C. Vásquez, Josep Maria Guerrero · 2024 · Lecture notes in computer science
11. Data-driven RUL prediction for lithium-ion batteries based on multilayer optimized fusion deep network
    Bin Xu, Xudong Ge, Shoucheng Ji, Qi Wu · 2025 · Ionics
12. Remaining Useful Life Prediction of Lithium-Ion Batteries Using Lag-Llama Model with Auto-Correlation Analysis
    Heng Li, Zeyu Zhu, Xiaolong Chen, Yunsheng Fan, Lishen Yan, Weirong Liu · 2024 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
13. A review and bibliometric analysis of intelligent techniques for advanced battery state estimation in aviation propulsion systems
    Abdeen Osman, Mahmoud Z. Mistarihi, Mohamad Ramadan, Mohammed Asaad Ghazal, Mohammad A. AlKhedher · 2025 · Results in Engineering
14. Stochastic Model for Lithium Ion Battery Lifecycle Prediction and Parametric Uncertainties
    Chinedu Ishiodu Ossai, Nagarajan Raghavan · 2018 · Annual Reliability and Maintainability Symposium (RAMS)
15. Lithium-ion Battery Remaining Useful Life Prediction Based on an Integrated Method
    Yan Yan, Huajing Fang, Zheng Li · 2019 · IEEE Data Driven Control and Learning Systems Conference (DDCLS)
16. A Prediction Method Using Bayesian Theory for Remaining Useful Life
    Yang Ge, Jian Wu, Xiao-Mei Jiang · 2019 · International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
17. A Hybrid State of Health Estimation Method for Lithium Ion Battery
    Xinyue Wang, Rui Guo, Jia Guo · 2022 · International Conference on Data-driven Optimization of Complex Systems (DOCS)
18. Battery Remaining Useful Life Prediction Based on a Combination of ARMA and Degradation Model
    Ruihua Jiao, Xiaofeng Ma, L. Li, J. P. Xiao · 2022 · International Conference on Reliability, Maintainability and Safety
19. SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction
    Hanbing Liu, Yanru Wu, Yang Li, Erçan E. Kuruoğlu, Xuan Zhang · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
20. A Multi-Layer Long Short-Term Memory Neural Network on Battery State-of-Health Estimation with Transfer Learning
    Jilun Tian, Jiusi Zhang, Yuchen Jiang, Hao Luo, Cong-Sheng Huang, Mo–Yuen Chow · 2023 · IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
21. Particle Swarm Optimized Back Propagation Neural Network for State of Health Estimation of Lithium-ion Battery
    Afida Ayob, Shaheer Ansari, Aini Hussain, Mohamad Hanif Md Saad, Molla Shahadat Hossain Lipu · 2024 · Jurnal Kejuruteraan
22. Hamiltonian Monte Carlo Sampling for Bayesian Hierarchical Regression in Prognostics
    Lachlan Astfalck, Melinda R. Hodkiewicz · 2017 · PHM Society Asia-Pacific Conference
23. Li-Ion Battery State of Health Assessment Using Machine Learning
    Krishna Kumar Mishra, Amit Kumar Singh · 2023 · IEEE India International Conference on Power Electronics
24. Temporal convolutional network for prediction of Li-ion batteries capacity fade knee
    Luigi d’Apolito, Hanchi Hong · 2024 · Engineering Research Express
25. Prognostic and Health Management Trend in Automotive Industry: An Overview
    Won Wook Jung, Azianti Ismail · 2012 · 한국산업경영시스템학회 학술대회
26. The diffusion polarization model of lithium-ion battery relaxation effect
    Liu Xiubin, Yue Li, Nantian Wang, Zhuo Qingqi, Li Tingpeng · 2015 · IEEE International Conference on Electronic Measurement & Instruments
27. Research on Modeling Method of Life Prediction for Satellite Lithium Battery Based on SVR
    Bo Pang, Wenquan Feng, Hongbo Zhao, Wenjuan Li, Shijie Chen · 2018 · Prognostics and System Health Management Conference
28. Remaining useful life prediction of lithium-ion batteries based on support vector regression optimized and grey wolf optimizations
    Zhanshe Yang, Yunhao Wang, Chenzai Kong · 2021 · International Symposium on Artificial Intelligence and Robotics (ISAIR)
29. State of Health estimation of lithium-ion batteries based on energy features and temporal convolutional network
    Jingyi Gao, Peng Fu, Kai Wang · 2023 · International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)
30. A mean-covariance decomposition method for battery capacity prognostics
    Shuai Yang, Zhaojun Steven Li, Jian Hong Guo · 2018 · Journal of Intelligent & Fuzzy Systems
31. Prediction of the Remaining Useful Life for Components of Automated Processes
    Ralf Stetter · 2019 · Studies in systems, decision and control
32. Particle Filter Based Framework for the Prognosis of Atherosclerosis via Lumped Cardiovascular Modeling
    Karan Jain, Arijit Guha, Amit Patra · 2023 · International Journal of Prognostics and Health Management
33. LiPM: Foundation Model for Lithium-Ion Battery Analysis
    Juren Li, Yang Yang, Hanchen Su, Jiayu Liu, Youmin Chen, Jianfeng Zhang, Lujia Pan · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
34. Lithium-ion battery life prediction using gated convolutional neural network with convolutional block attention module
    Ade Ramdan, Vicky Zilvan, Asri Rizki Yuliani, Hilman Ferdinandus Pardede, Ana Hadiana, Endang Suryawati, Candra Nur Ihsan, Raden Sandra Yuwana, Andri Fachrur Rozie, Bambang Sugiarto · 2025 · Journal of King Saud University - Engineering Sciences
35. Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability
    Peng Peng, Yang Ruixin, Man Chen, Peng Wang, Lu Jiahuan, Rui Xiong · 2025 · Chinese Journal of Electrical Engineering
36. A data-physics fusion network with multidimensional features for battery health prediction under small-sample and transfer scenarios
    Gangtao Zhou, Chenhao Sun, Xiangjun Zeng, Yuanyuan Wang, Zewen Li, Quan Zhou · 2025 · Journal of Energy Storage
37. Scientometric Analysis and Systematic Review of Battery State of Health Estimation Methods for Wheelchair Applications
    Hassan M. Hussein Farh, Abdullrahman A. Al-Shamma’a · 2025 · Journal of Disability Research
38. A multi-scale temporal fusion network for accurate and uncertainty-aware battery remaining useful life prediction
    Chenguang You, Chenzhuang Dong, Jiachen Lu, Siyuan Xie, Yijie Duan, Lili Duan, Hao Yan, Wei Luo, Shuangqiang Chen · 2025 · Journal of Energy Chemistry
39. A dual-stage framework for lithium-ion battery state of health prediction using multi-strategy optimization for decomposition and neuro-fuzzy networks
    Fahui Miao, Linbin Mao · 2026 · Journal of Energy Storage
40. Accurate state of health estimation of lithium-ion batteries based on deep learning and polarization features
    Zhichao Li, Zhiguo Qu, Baobao Hu · 2026 · Future Batteries
41. System balancing with electric vehicles considering Swedish market structures and battery degradation from controlled charging
    Dita Anggraini, Zhongtian Li, Daniel Månsson, Patrik Hilber, Mikael Amelin, Lennart Söder · 2026 · Journal of Energy Storage
42. Vision-powered generative paradigm for robust battery health prediction in real-world electric vehicles
    Zicheng Fei, Minghe Li, Zijun Zhang, Kwok‐Leung Tsui · 2026 · The Innovation
43. Physics-Informed Multi-scale spatiotemporal transformer for robust state estimation and fault localization in Lithium-ion batteries
    Yuping Xia, Zhe Luo, Xiuyun Zhai, Xinyu Wang, Zhihao Tang · 2026 · Discover Applied Sciences
44. Diffusion model based on incremental capacity constraint for battery multidimensional time series data generation
    Quanxi Guo, Yanan Zhang, Francesco Grimaccia, Alessandro Niccolai · 2026 · Journal of Energy Storage
45. Joint state of health and remaining useful life assessment of lithium-ion batteries using a novel attention mechanism-based deep learning model and multi-source optimized health indicators
    Dexiong Li, Yan Xing, Xiaopeng Li · 2026 · Journal of Energy Storage
46. Battery state of health estimation using 1-minute post-charge relaxation: Robust to arbitrary cut-off voltages
    Renkui Chen, Jiahao Wang, Xinhong Feng, Aihua Tang, Yong Zhang · 2026 · Journal of Energy Storage
47. Adaptive Hyperparameter-Tuned Transformer–LSTM for Lithium-Ion Battery State-of-Health Prediction
    Xujing Chu, Siyu Deng, Nitin Roy, Bin Zhang · 2026 · Batteries
48. State of health estimation of lithium-ion batteries via multi-domain feature fusion and a physics-informed decoupled network
    Jing Sun, Shengchao Su, Guohua Wang · 2026 · Journal of Power Sources
49. A large multimodal foundation model for unified state-of-health and remaining useful life estimation of lithium-ion batteries
    Wending Zhu, Xiang Li, Zihan Gong, Mamdouh Abdelsalam, Wei Zhang, Shaojie Yang · 2026 · Journal of Energy Storage
50. Uncertainty-aware physics-guided digital twins for lithium-ion batteries: toward integrated health, safety, and fast-charging management
    Hanfeng Wu, Yuanxing Zhang*, Daobin Mu* · 2026 · Energy Z
51. New Adaptive Prognostics Approach Based on Hybrid Feature Selection with Application to Point Machine Monitoring
    Vepa Atamuradov, Kamal Medjaher, Pierre Dersin, Noureddine Zerhouni A, Fatih Camci · 2018 · Annual Conference of the PHM Society
52. Generalized degradation reliability model considering phase transition
    Ao Zhang, Zhihua Wang, Qiong Wu, Chengrui Liu · 2022 · Journal of Systems Engineering and Electronics
53. A hybrid model for simulation of lithium-ion batteries using artificial neural networks and computational fluid dynamics
    Farshad Dehghani, Reza Eslamloueyan, Mohammad Sarshar · 2022 · Scientia Iranica
54. SOC Estimation of Lithium Batteries Based on Deep Learning and Particle Filtering
    Wenjin Zhang, Yao Liu, Lei Li, Xiangyu Li, Jiantao Chang · 2022
55. Optimized Data-Driven Network for Remaining Useful Life Prediction of Lithium-ion Batteries
    Shaheer Ansari, Afida Ayob, Aini Hussain, Molla Shahadat Hossain Lipu, Mohamad Hanif Md Saad, M. A. Hannan · 2023 · IEEE International Conference on Energy Technologies for Future Grids (ETFG)
56. Li-Ion Battery Second-Life State of Health (SoH) Estimation with Polynomial Chaos
    Pham Luu Trung Duong, Nagarajan Raghavan · 2024 · Global Reliability and Prognostics and Health Management Conference (PHM)
57. Estimating remaining useful life for lithium-ion batteries using kalman filter banks
    Yiming Bian, Ning LI · 2020 · IEEE Conference on Prognostics and Health Management
58. Life prediction model of lithium-ion batteries in the early-cycle stage based on convolutional long short-term memory with attention mechanism
    Chen Zhang, Lifeng Wu · 2022 · IEEE International Conference on Industrial Informatics (INDIN)
59. An Approximate Method for Retired Battery Capacity Degradation Model Based on Limited Test Data of SOC Ranges
    Xiaolin Chen, Gang Chen, Fuxin Chen, Wenjin Zheng, Wanwan Xu, Junjie Tang · 2023 · Asia Conference on Power and Electrical Engineering (ACPEE)
60. Lithium-Ion Health Prediction for Battery Systems Using Deep A-LSTM-CNN Approach
    Jaidev Kumar, A.S.S. Murugan, R. Vinoth Kumar, Manasi Vyankatesh Ghamande, N. M. G. Kumar, Radhika · 2023 · International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
61. One-Time Prediction of Battery Capacity Fade Curve under Multiple Fast Charging Strategies
    Xiaoming Han, Zhentao Dai, Mifeng Ren, Jing Cui, Yunfeng Shi · 2024 · Batteries
62. Optimizing Remaining Useful Life Estimation of Lithium-Ion Batteries: A Particle Swarm Optimization-Based Grey Prediction Model
    Ali M Abdulshahed, Ibrahim Ahmed Badi · 2024 · Journal of Energy - Energija
63. State of Health Estimation of Lithium-Ion Batteries with Feature Interpretability Based on Partial Charge Curves
    Xiaorong Cheng, Xiyuan Gao, Feng Ma, Yan Wang · 2025 · Journal of The Electrochemical Society
64. On-Line Monitoring of Capacity Fade in Lithium-Ion Batteries
    Sung‐Woo Cho, Hyeonseok Jeong, Chonghun Han, Shanshan Jin, Jae Hwan Lim, Jeonkeun Oh · 2012 · JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
65. Incremental learning approach for improved prediction
    Chaochao Chen, Surya Kunche, MICHAEL G. PECHT · 2013 · IEEE Conference on Prognostics and Health Management
66. A Mean-Covariance Decomposition Modeling Method for Battery Capacity Prognostics
    Jian Hong Guo, Zhaojun Steven Li · 2017 · International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
67. Sensitivity analysis of Kalman filter based estimation methods of lithium-ion batteries under non-stationary conditions
    Tilman Happek, Alexander Kuznietsov · 2018 · IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
68. A Fusion Method Based on Unscented Particle Filter and Minimum Sampling Variance Resampling for Lithium-ion Battery Remaining Useful Life Prediction
    Jiayu Chen, Dong Zhou, Chuan Lü · 2016 · Annual Conference of the PHM Society
69. Battery Capacity Anomaly Detection and Data Fusion
    John Weddington, Wuzhao Yan, Wanchun Dou, Bin Zhang · 2015 · Annual Conference of the PHM Society
70. Parameters Adaption of Lebesgue Sampling-based Diagnosis and Prognosis for Li-ion Batteries
    Wuzhao Yan, Wanchun Dou, Datong Liu, Yu Peng, Bin Zhang · 2015 · Annual Conference of the PHM Society
71. Novel Multiple Parameter Optimization for Improving Accuracy of Battery Ageing Model and Lifetime Prediction
    Huma Goyal, Akira Kikuchi, Suguru Ueda, Kohei Honkura, Jun Kawaji · 2022 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
72. A Remaining Useful Life Prediction Method With Degradation Model Calibration
    Chao Ren, Huiqin Li, Zhengxin Zhang, Xiaosheng Si · 2023 · IEEE Data Driven Control and Learning Systems Conference (DDCLS)
73. A Multi-objective Optimization Approach for Photovoltaic and Battery Sizing in an Off-Grid Power System
    Fanhao Wei, Guoming Yang, Dazhi Yang · 2023 · International Conference on Smart Electrical Grid and Renewable Energy (SEGRE)
74. Estimating the remaining useful life of Li-ion batteries with a Bayesian updating model
    Yizhen Hai, Jie Tang, Kwok‐Leung Tsui · 2012 · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
75. Models, SOC, Maximum, Time, Cell, Data, Parameters
    Beta Writer · 2019 · Springer eBooks
76. State-of-charge estimation based on theory of evidence and interval analysis with differential evolution optimization
    Suradej Duangpummet, Jessada Karnjana, Waree Kongprawechnon · 2019 · Annals of Operations Research
77. A life-prediction method for lithium-ion batteries based on a fusion model and an attention mechanism
    Xianbao Wang, Fei-teng Wu, Minghai Yao · 2020 · Optoelectronics Letters
78. Probabilistic Method to predict Remaining Usage Life of Aircraft Structures
    Mudit Rastogi · 2016 · PHM Society European Conference
79. Non-equilibrium thermodynamics in porous media : battery degradation, and sorption and transport in porous materials
    Matthew B. Pinson · 2015 · DSpace@MIT (Massachusetts Institute of Technology)
80. Development of data-driven method for capacity estimation and prognosis for lithium-ion batteries
    Akhilesh Koul · 2020
81. Remaining Useful Life Prediction and State of Health Diagnosis Of Lithium-Ion Batteries with Multiscale Health Features Based on Optimized Catboost Algorithm
    Yifei Zhou, Shunli Wang, Jiawei Zeng, Yanxin Xie, Carlos Fernández · 2024 · SSRN Electronic Journal
82. Data Science-Based Battery Operation Management II
    Kailong Liu, Yujie Wang, Xin Lai · 2022 · Green energy and technology
83. Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis
    Kapilraj Nangare, Kranthi Nidubrolu, Pooja Gaikwad · 2024 · SAE technical papers on CD-ROM/SAE technical paper series
84. Remaining Useful Life Prediction for the Lithium-Ion Battery Based on a Health Indicator and Long Short- Term Memory Networks
    Zhenwen Zhao, Wenhan Zhang, Jiadong Ren, Zhenhua Wang · 2024 · IEEE Data Driven Control and Learning Systems Conference (DDCLS)
85. The Gaussian Mixture Optimal Transport Ensemble Kalman Filter and its application to predict the capacity fade of lithium-ion batteries
    Yi Li, Xue Jiao Luo · 2024 · International Conference on Control, Decision and Information Technologies (CoDIT)
86. Prediction of remaining service life of lithium battery based on VMD-MC-BiLSTM
    Meng Guangxiong, Liang Zhongnan, Mou Zhongyi · 2024 · Frontiers in Energy Research
87. A Novel Temporal Distribution Matching-Based Transfer Learning Method for State of Health Estimation of Li-ion Batteries
    Zimeng Fan, Mingwei Li, Lei Song, Zhen Yan · 2024 · Global Reliability and Prognostics and Health Management Conference (PHM)
88. Multi-category health indicator fusion-based state of health forecast of lithium-ion batteries with high generality to partial discharging profiles
    Shanshuai Wang, Huajun Dong, Jingyi Gao, Min Chen, Licheng Wang, Kai Wang · 2025 · Ionics
89. Predicting the Evolution of Capacity Degradation Histograms of Rechargeable Batteries Under Dynamic Loads via Latent Gaussian Processes
    Daocan Wang, Xinggang Li, Jiahuan Lu · 2025 · Energies
90. Robust Lithium-ion Battery SOH Estimation via Denoising Autoencoder-CNN-Transformer with Noisy Multi-Feature Input
    Shaohua Xie, Da‐Ren Chen, Guangzhong Dong · 2025 · IEEE China Conference on System Simulation Technology and its Applications (CCSSTA)
91. Data-driven state-of-health prediction for lithium-ion batteries using arbitrary charging voltage segments
    Hang Hu · 2025 · Ionics
92. A method for estimating the SOH of lithium batteries based on DWT-fused neural network and charging voltage segments
    Hai Long Tian, Jing Peng, Wei Duan, Wenjie Zhu, Haixin Yu, Luping Dong · 2025 · Ionics
93. An XAI Framework for Lithium-Ion Battery SOH Estimation Using NASA 2023 Dataset
    Recep Furkan Akın, Ziya Kadir Tokluoğlu, Kürşat İnce, Salih Sarp · 2025 · International Conference on Computer Science and Engineering (UBMK)
94. TFGNN: Remaining capacity prediction of lithium-ion batteries based on transformer Fourier graph neural network with exogenous-endogenous series
    Rucong Lai, Zikang Tang, Qifeng Yu, Jindong Tian, Wanglin Liu, Hui Li, Yong Tian, Jie Wang · 2026 · Measurement
95. Bridging the feature gap: Heterogeneous transfer learning for lithium-ion battery health estimation using one-shot data
    MENGCHUAN ZHANG, Xuemei Wang, Longyun Kang, Di Xie, Bohui Liang, LIANGLIANG WANG, SHOUMO WANG · 2026 · Results in Engineering
96. State-of-Charge Estimation Considering Cell-to-Cell Differences Using Two-Stage Transfer Estimation
    Xiaoxuan Wang, Yingmin Yi, Yiwei Yuan, Xifei Li, Huiyu Zhou · 2026 · IEEE Transactions on Instrumentation and Measurement
97. TFDDA: a time-frequency deep domain adaptation method for cross-domain state of health estimation of lithium-ion batteries
    Xiaoqiong Pang, Xiaotong Zhang, Ziyao Guo, Jianfang Jia, Jie Wen, Yuanhao Shi, Jianchao Zeng · 2026 · Engineering Research Express
98. TFDM-CR: Time–frequency diffusion modeling for lithium-ion battery capacity prediction incorporating regeneration phenomena
    Xiangyang Shi, Quan QIAN · 2026 · Energy and AI
99. A SOH Estimation Method for Lithium-Ion Battery Based on Partial Charging Data Reconstruction With Physical Information Constraints
    Liangliang Wei, Zang Chen, Hongzhang Xu, Tianpei Liu, Yurui Xiang, Xiaojun Tan, Mengtang Li, Yuqian Fan · 2026 · IEEE Transactions on Industrial Electronics
100. Lithium-ion battery remaining useful life prediction based on efficient compressed sensing and interactive enhanced Mamba model
     Haikun Wang, Xin Liu, Kaitao Chen, Zhi-Chao Xu, Yukai Guo, Qian Huang, Huamei Cao · 2026 · Ionics