Lithium-ion batteries remaining useful life prediction based on a mixture of empirical mode decomposition and ARIMA model

Cited by (285)

Items 201–285 of 285

1. Time-series failure prediction on small datasets using machine learning
   Caio Bezerra Souto Maior, Thaylon Silva · 2024 · IEEE Latin America Transactions
2. A Novel Health Indicator-Based RBF-FGSPF Framework for Health Prognosis of Lithium-Ion Batteries in Dynamic Operating Conditions
   Nitika Ghosh, Akhil Garg, Liang Gao · 2024 · IEEE Transactions on Transportation Electrification
3. Health indicator construction and remaining useful life prediction for space Stirling cryocooler
   Lei Song, Haoran Liang, Wei Teng, Lili Guo · 2019 · Advances in Mechanical Engineering
4. An Online Estimation Method of State of Health for Lithium-Ion Batteries Based on Constant Current Charging Curve
   Wei Liu, Jinbao Zhao · 2022 · Journal of The Electrochemical Society
5. Preparation of Papers for IFAC Conferences & Symposia: A comparative study of remaining useful life predictions for lithium-ion battery
   Rui Xiong, Jiahuan Lu · 2018 · IFAC-PapersOnLine
6. Remaining Useful Life Prediction of Lithium-Ion Batteries
   Rui Xiong · 2019 · Springer eBooks
7. An interpretable hierarchical temporal aggregation network for RUL prediction
   Zixu Wang, Meng Li, Yong Chen, Zhilong Liu · 2025 · Expert Systems with Applications
8. Remaining Useful Life Prediction of Lithium-Ion Batteries Using Monotone Decomposition
   Xinyan Li, Dianpeng Wang, Piao Chen · 2025 · Technometrics
9. A critical review of remaining useful life prediction for water Electrolyzers: From degradation mechanisms to prognostic models
   Xi Jiang, Zhongkai Zhao, Wenjun Zhou, Linjie Meng, Danfeng Hu, Zixuan Shangguan, Min Liu, Jian Zuo, Jianhua Zhang, L. J. Jin · 2026 · Applied Energy
10. A parameter-generalizable PINN framework with Feature-wise Linear Modulation for lithium-ion battery electrochemical modeling
    Yuzi Lin, Xuemei Wang, Longyun Kang, Di Xie, Liangliang Wang · 2026 · Electrochimica Acta
11. A novel lithium-ion battery capacity prediction framework based on SVMD-AO-DELM
    Guorong Ding, Hongxia Chen · 2023 · Signal Image and Video Processing
12. A State-of-Health Estimation Method for Lithium Batteries under Multi-Dimensional Features
    Yu Zhang, Zhaozhao Hu, Tiezhou Wu · 2024 · World Electric Vehicle Journal
13. Accurate estimation of residual capacity for large-scale retired-LFP batteries with multiple aging pathways
    Yulong Ni, Lei Pei, Wei Jiang, He Zhang, Dazhi Yang, Kai Song, Chao Lyu, Chunbo Zhu, Jiangdong Huang, Jianing Xu · 2025 · Journal of Energy Storage
14. State of Health Prediction of Lithium-ion Batteries Using Accelerated Degradation Test Data
    Pasquale De Falco, Luigi Pio Di Noia, R. Rizzo · 2020 · IEEE Texas Power and Energy Conference (TPEC)
15. Study and Analysis of the Behavior of LFP and NMC Electric Vehicle Batteries concerning their Ageing and their Integration into the Power Grid
    Jorge Nájera Álvarez · 2020
16. A Novel Lithium‐Ion Battery Remaining Useful Life Prediction Method by Learning Wiener Process‐Based Degradation Model via Physics‐Informed Neural Network
    Elahe Sadat Ahmadi Mousavi, Farzaneh Abdollahi, Farshad Barazandeh, Farschad Torabi, Amin Hajizadeh · 2026 · International Journal of Energy Research
17. The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment
    Dongzhen Lyu, Bin Zhang, Enrico Zio, Tao Yang · 2022 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
18. DAE-Transformer-based Remaining Useful Life Prediction for Lithium-Ion Batteries in Energy Storages
    Bowen Huang, Zihao Zeng, Yamin Zhou, Jiang Liu, Qian Zheng, Luting Wang, Zihao Feng, Shukai Sun, Zhengwei Pan · 2023 · International Conference on New Energy and Power Engineering (ICNEPE)
19. A Hybrid Data-Driven Method Based on Data Preprocessing to Predict the Remaining Useful Life of Lithium-Ion Batteries
    Weiwei Huo, Aobo Wang, Bing Lu, Yunxu Jia, Li Chen · 2024 · Journal of Electrochemical Energy Conversion and Storage
20. Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule
    Liu Zhang, Bo Xing, Yanbing Gao, Lei Yue Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li · 2024 · IEEE Access
21. Retail Products Price Forecasting with Empirical Mode Decomposition and Auto Regressive Integrated Moving Average Model Using Web-Scraped Price Microdata
    Mehmet Özçalıcı, Elif Kaya · 2025 · Spectrum of Decision Making and Applications.
22. Remaining Useful Life Prediction for Pneumatic Control Valve System Based on Hybrid CNN-LSTM Model
    Jianliang Chen, Hong You, Peng Yang, Xiang Guo · 2022 · Chinese Control and Decision Conference (CCDC)
23. Remaining Useful Life prediction of Aircraft Engines Using DCNN-BiLSTM with K-means Feature Selection
    Gang Cao · 2024 · Communications in computer and information science
24. Enhanced S‐ARIMAX model performance and state‐of‐health prediction accuracy with battery pack degradation factor combinations
    Dongjae Lee, Pyeong‐Yeon Lee, Insu Baek, Deokhun Kang, Jonghoon Kim · 2024 · Energy Storage
25. State of Charge Estimation Based on State of Health Correction for Lithium-ion Batteries
    Yiduo Zhu, Fuwu Yan, Jianqiang Kang, Changqing Du · 2018 · IEEE Intelligent Vehicles Symposium
26. On the Use of Machine Learning Methods for EV Battery Pack Data Forecast Applied to Reconstructed Dynamic Profiles
    Joaquín de la Vega, Jordi‐Roger Riba, J. A. Ortega · 2025 · Applied Sciences
27. Probabilistic Prognostics and Health Management of Power Transformers Using Dissolved Gas Analysis Sensor Data and Duval’s Polygons
    Fabio Norikazu Kashiwagi, Miguel Ângelo de Carvalho Michalski, Gilberto Francisco Martha de Souza, Halley José Braga da Silva, Hyghor Miranda Côrtes · 2025 · Sensors
28. A Lithium-Ion Battery Remaining Useful Life Prediction Method with A New Algorithm Based on Incremental Capacity Analysis
    Alice Cervellieri · 2024 · Journal of Electrical Systems
29. Multiscale Convolutional Reservoir Computing for Remaining Useful Life Prediction of Li-ion Batteries
    Chuan Li, Gaifang Guo, Ziqiang Pu · 2025 · IEEE Transactions on Consumer Electronics
30. Comparative Study of Wavelet-SARIMA and EMD-SARIMA for Forecasting Daily Temperature Series
    Luwam Ghide, Siyuan Wei, Yiming Ding · 2022 · International Journal of Analysis and Applications
31. 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
32. Remaining Useful Life Prediction of Lithium-ion Batteries Based on Particle Filter with Generalized Exponential Distribution
    Xuan Xie, Xifeng Li, Dongjie Bi, Yongle Xie, Shenjie Tang, Libiao Peng · 2022 · International Conference on Intelligent Technology and Embedded Systems (ICITES)
33. Impact of Data Partitioning to Improve Prediction Accuracy for Remaining Useful Life of Li-Ion Batteries
    Joonchul Kim, Eunsong Kim, Junghwan Park, Kyoung‐Tak Kim, Joung-Hu Park, Taesic Kim, Kyoungmin Min · 2023 · International Journal of Energy Research
34. Residual life prediction of lithium-ion batteries based on data preprocessing and a priori knowledge-assisted CNN-LSTM
    Qilong Xie, Rongchuan Liu, Jihao Huang, Lei Dong, Jianhui Su · 2023 · IEEE International Electrical and Energy Conference (CIEEC)
35. Degradation and Reliability Modeling of EM Robustness of Voltage Regulators Based on ADT: An Approach and a Case Study
    Jaber Al Rashid, Mohsen Koohestani, Laurent Saintis, Mihaela Barreau · 2023 · IEEE Transactions on Device and Materials Reliability
36. Data-Driven Diagnostics and Prognostics for Modelling the State of Health of Maritime Battery Systems – a Review
    Erik Vanem, Øystein Åsheim Alnes, James Lam · 2021 · Annual Conference of the PHM Society
37. 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
38. Next-Generation Battery Monitoring Using AI for Sustainable Electric Mobility
    Keerthi Sri G.V., Venkataramana Veeramsetty, D. M. Vinod Kumar · 2025 · IGI Global eBooks
39. Prediction for Remaining Useful Life of Lithium-ion Batteries Based on NGO-VMD and LSTM
    Wantong Xu, Yingshun Li, Bin Tang Yang · 2024 · Prognostics and System Health Management Conference
40. Remaining useful lifetime prediction based on the fusion of Attention-LSTM and Wiener process
    Cai Zhongyi, He Wenbo, Guo Rui, Kai Zhang, Zhang Fuzhi, Wang Zezhou · 2023 · Global Reliability and Prognostics and Health Management Conference (PHM)
41. Prediction of Remaining Useful Life for Lithium-Ionbattery with Multiple Health Indicators
    Yuqiao Zheng, Hong jing Chen, Chun Su · 2020 · Preprints.org
42. Review of Fusion Prognostics for Lithium-Ion Batteries - Current State and Future Challenges
    Nneka Daniel, Stoyan Stoyanov, C. Bailey, David Flynn · 2021 · International Spring Seminar on Electronics Technology
43. Health Prognostics for Lithium-ion Battery Based on Hybrid Data-driven Method
    Yan Ma, Ce Shan, Yunfeng Hu, Hong Chen · 2022 · International Conference on Smart Power & Internet Energy Systems (SPIES)
44. Attention Based Mechanism for State-of-Health Estimation of Li-Ion Batteries
    Manthan Oza, Ravita Lamba, Rajesh Kumar · 2024 · IEEE International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
45. AI-Based Battery Consumption Prediction for Nano-drones
    Rares Crăciun, Adrian Burlacu · 2025 · Mechanisms and machine science
46. 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
47. Remaining useful life prediction of lithium-ion batteries: A decomposition-based multi-model prediction approach
    Shuyi Xue, Lei Li · 2025 · AIP Advances
48. FAST: A battery data recovery method for missing information due to delayed telemetry
    Yixin Nie, Wanxu Cai, Anqi Wang, Fan Yang, Tao Zhang · 2025 · ISA Transactions
49. A study on the state of health estimation method for lithium batteries based on VMD decomposition and feature collaboration
    Yangke Cui, Yongzheng Feng · 2026 · Measurement
50. An approach to analyse of LED degradation heterogeneity in step-stress accelerated testing
    Quoc Tiep La, David Vališ, Zdeněk Vintr, Jakub Gajewski, Libor Žák, Zdeněk Kohl, Xuan Phong Cu · 2026 · Eksploatacja i Niezawodnosc - Maintenance and Reliability
51. Enhanced State-of-Health and Remaining Useful Life Predictions for Lithium-Ion Batteries Through Randomized Grid-Search Hyperparameter Optimization
    Ravi Velugula, Kanupriya Mittal, Mayank Mittal · 2026 · Journal of Electrochemical Energy Conversion and Storage
52. Fault prognostics of lithium-ion batteries in industrial battery management systems
    Nacira Boudraa, Houari Toubakh, Hajer Salem, Mohamed Redouane Kafi, Noureddine Zerhouni A, Bilal Amghar · 2026 · Journal of Power Sources
53. Design of State of Health Prediction Model for Retired High Power LiNiMnCoO2 Cell with Holts Exponential Smoothing Method
    Hyunjun Lee, Joung‐Hu Park, Jonghoon Kim, Taesic Kim · 2020 · International Conference on Intelligent Information Technology (ICIIT)
54. Long-term Remaining Useful Life Prediction of Lithium Battery based on Grey Theory
    Peiyao Guo, Ze Cheng · 2019 · IEEE International Conference on Advanced Power System Automation and Protection (APAP)
55. BiGRU with temporal pattern attention for health indexes prediction of rolling bearings
    Yudong Cao, Mingping Jia · 2022 · Global Reliability and Prognostics and Health Management Conference (PHM)
56. A Rapid Test Method Based on Prediction with Swarm Intelligent Optimization and Monte Carlo Expansion for Lithium-Ion Battery Cycle Life
    Yuhao Zhu, Xin Gu, Ziheng Mao, Wenyuan Zhao, Yunlong Shang · 2023 · Journal of The Electrochemical Society
57. Research On Water Quality Prediction In Shanghai Based On CEEMDAN-LSTM Model
    Yi-Jing Su · 2023 · International Conference on Electronic Information Technology and Computer Engineering (EITCE)
58. Research on Lithium-Ion Battery State of Health Prediction Based on Autoregressive Integrated Moving Average Mode
    Jiwei Wang, Hao Li, Linxuan Zhang, Yi An, Lirong Xie, Yujun Shi, Penghua Li · 2024 · Youth Academic Annual Conference of Chinese Association of Automation (YAC)
59. An Ensemble Learning Approach Based on Multimodal Differential Evolution for Predicting Remaining Useful Life of Lithium-Ion Batteries
    Jie Ma, Hong Li, Weifeng Gao · 2024 · International Symposium on Computational Intelligence and Design
60. Improving ARIMA Forecasting Accuracy Using Decomposed Signal on PH and Turbidity at SCADA Based Water Treatment
    Junaidi Junaidi, Joko Lianto Buliali, Ahmad Saikhu · 2020 · International Conference on Information and Communications Technology (ICOIACT)
61. A framework for developing a prognostic model using partial discharge data from electrical trees
    Nur Hakimah Ab Aziz · 2018 · STAX
62. A Comprehensive Review of EV Lithium-Ion Battery Degradation
    Carlos Antônio Rufino Júnior, Eleonora Riva Sanseverino, Pierluigi Gallo, Murilo Machado Amaral, Daniel Koch, Yash Kotak, Sergej Diel, Gero Walter, Hans‐Georg Schweiger, Hudson Zanin · 2023 · Preprints.org
63. Decision Support System for Determining Overtime Employees at PT. Mark Dynamics Indonesia, Tbk with Analytical Hierarchy Process Method
    Jamal Mirdad Purba · 2021 · International Journal of Basic and Applied Science
64. Estimation in Electric Vehicle Battery Systems
    Manish Narkhede, Satyashil D. Nagarale, Nilkanth B. Chopade, B. P. Patil · 2023 · OITS International Conference on Information Technology (OCIT)
65. Remaining Useful Life Prediction of Ev Lithium-Ion Batteries Based on Vmd Decomposition and Bo-Gru
    Weijie Tang, Jiayan Chen, Dongjiao Chen · 2024 · SSRN Electronic Journal
66. RUL Prediction for Lithium-Ion Batteries Based on Sequence Decomposition and Transformer Networks
    Min Li Zheng, Mengfan Ruan, Junhao Yuan, Quan Liu · 2024 · Communications in computer and information science
67. Capacity Prediction of Lithium-ion Batteries with Regeneration Phenomena Based on Hierarchical Modal Analysis
    Shuaichao Li, Lulu Zhang, Danyang Han, Binghua Li, Haowei Wang, Rui Kang · 2024 · International Conference on System Reliability and Safety (ICSRS)
68. A Method for Capacity Estimation of Lithium-Ion Batteries based on AM-LSTM-WKMSE
    Bihui Li, Longsheng Cheng, Yiling Gao · 2025 · Journal of The Electrochemical Society
69. Introduction
    Hui Liu, Fang Cheng, Yanfei Li · 2025 · Springer eBooks
70. Hybrid Clustering and Regression Approach for Remaining Useful Life Estimation of Li-Ion Batteries
    Rania Aboulfadl, Christophe Roman, Guillaume Graton, Mustapha Ouladsine · 2025 · International Conference on Control and Fault-Tolerant Systems (SysTol)
71. A SOH Assessment Method for Lithium-Ion Batteries Based on CNN-BiLSTM Algorithm
    Ji Gao, Xiaobin Li, Ting Li, Zhenxing Lian, Like Lin, Danling Ruan · 2025 · International Conference on Energy Materials and Electrical Engineering (ICEMEE)
72. Approaches for Lifetime Prediction of Vehicle Traction Battery Systems During a Technical Inspection: A Systematic Review
    Matthias Gregor, Maximilian Bauder, Aline Kirsten Vidal de Oliveira, Pascal Mast, Ricardo Rüther, Hans‐Georg Schweiger · 2025 · World Electric Vehicle Journal
73. State of Health Estimation in Lithium-Ion Batteries: Methods, Comparisons, and Future Directions
    Parvez Patel, Ayush Bhagat · 2026 · SAE technical papers on CD-ROM/SAE technical paper series
74. Prediction of LiFePO4 Battery Remaining Useful Life using Time-series based Machine-Learning Algorithms
    Krishna Tejus E M, Alivelu Manga Parimi, Sandip S. Deshmukh, Ankur Bhattacharjee, Parikshit Sahatiya · 2026 · SSRN Electronic Journal
75. Introduction
    Hongpeng Yin, Li Cai, Peng Zhang · 2026 · Elsevier eBooks
76. Contribution to intelligent monitoring and failure prognostics of industrial systems.
    Moncef Soualhi · 2021
77. Evaluation of the State of the health of Li-ion batteries in the context of Circular Economy
    Akash Basia · 2021
78. LightPatchTST: A Lightweight Model for Accurate RUL Prediction of Lithium-Ion Batteries
    Yuqian Zhao, Yongfang Guo · 2026 · International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)
79. Lithium-Ion Battery SOH Prediction with Multi-Feature Extraction Using a BiLSTM-RPTransformer Model
    Junjie Guan, Hui Yang, Liefa Liao, Yulong Guan · 2026 · Communications in computer and information science
80. Battery capacity and health prediction using GA-optimized neural networks
    Fatih Durmuş, Serap Karagöl · 2026 · Neural Computing and Applications
81. TimesFM temporal foundation framework for fast and accurate lithium-ion battery RUL prediction with zero-fine-tuning
    Guang Yang, XinYang Liu, Nan Wang, Gang Yu · 2026 · Journal of Power Electronics
82. A Lithium-Ion Battery Remaining Useful Life Prediction Framework Based on Mode Decomposition and CNN-TimeXer
    Jiayun Xu, Hairong Li · 2026 · Electronics
83. A Condition-Aware Spatio-Temporal Network for Robust Aero-Engine Remaining Useful Life Prediction
    Guixian Qu, Xu Yang, Xinran Luo, Chuankai Liu, Jianshan Zhou, Kan Guo · 2026 · IEEE Transactions on Instrumentation and Measurement
84. Remaining useful life data-driven estimation: a selective evaluation and analysis
    Maxime Dehondt, Chrysoula Kosma, Charles Truong, Clément Linarès, Laurent Oudre · 2026 · Signal Processing
85. Artificial Intelligence for Lithium-Ion Battery Failure Analysis in Electric Vehicles: A Critical Review
    Jianhui Sang, Zhenyu Hong, Zhiying Yi, Wenlin Xu, Sheng Lin, Xiahui Wan, Wenhao Xu, Hong Zhao · 2026 · World Electric Vehicle Journal