Prognostics in Battery Health Management

Goebel, Kai, Saha, Bhaskar, Saxena, Abhinav, Celaya, Jose, Christophersen, Jon·2008·IEEE Instrumentation & Measurement Magazine

Cited by (594)

Items 301–400 of 594

  1. Remaining useful life prediction for lithium-ion battery based on hybrid machine learning with Wiener process
    Yun Qi, Jianping P. Wang, Huimin Lu, Hongyang Chu, Danyang Chen, Jianli Jin · 2025 · Journal of Energy Storage
  2. Fast Battery EIS Measurement Using Flexible Local Rational Method
    Alessio De Angelis, Péter Zoltán Csurcsia, Valerio Brunacci, Paolo Carbone · 2024 · IEEE Transactions on Instrumentation and Measurement
  3. Enhancing EV lithium-ion battery management: automated machine learning for early remaining useful life prediction with innovative multi-health indicators
    Shivendu Mishra, Anurag Choubey, Bollampalli Areen Reddy, Rajiv Misra · 2024 · The Journal of Supercomputing
  4. A Lithium-Ion Battery SOH Prediction Method: Temporal Dual-Channel Networks Transfer and Error Compensation Under the EMD Framework
    Xiongbo Wan, Fan Mao, Xingyu Zhao, Chuan‐Ke Zhang, Wenkai Hu, Min Wu · 2025 · IEEE Transactions on Instrumentation and Measurement
  5. Enhanced multi-scale signal decomposition transformer neural network for state of health estimation of lithium-ion batteries
    Yang Li, Haotian Shi, Qi Huang, Ke Li, Chunmei Liu, Shiliang Nie, Xianyi Jia, Carlos Fernández · 2025 · Journal of Energy Storage
  6. Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process
    Meng Li, Mohammadkazem Sadoughi, Sheng Shen, Chao Kun Hu · 2019 · IEEE Conference on Prognostics and Health Management
  7. Prediction of Lithium-ion Battery's Remaining Useful Life Based on Relevance Vector Machine
    Zhiyun Zhang, Miaohua Huang, Yupu Chen, Shuanglong Zhu · 2016 · SAE International journal of alternative powertrains
  8. A Method of Remaining Capacity Estimation for Lithium-Ion Battery
    Junfu Li, Lixin Wang, Chao Lyu, Weilin Luo, Kehua Ma, Liqiang Zhang · 2013 · Advances in Mechanical Engineering
  9. The state-of-health diagnosis of Li-Co batteries with fuzzy identification
    Hota Chia-Sheng Lin, Tsorng‐Juu Liang, Shih‐Ming Chen · 2012 · International Power Electronics and Motion Control Conference (IPEMC)
  10. An Online State of Health Estimation Method for Lithium-ion Batteries Based on Integrated Voltage
    Yapeng Zhou, Miaohua Huang, MICHAEL G. PECHT · 2018 · IEEE Conference on Prognostics and Health Management
  11. Prognostics in Aeronautics with Deep Recurrent Neural Networks
    Márcia Lourenço Baptista, Helmut Prendinger, Elsa M. P. Henriques · 2020 · PHM Society European Conference
  12. A hybrid battery model and state of health estimation method for lithium-ion batteries
    Türev Sarıkurt, Murat Ceylan, Abdulkadir Balıkçı · 2014 · IEEE International Energy Conference (ENERGYCON)
  13. Remaining useful life prediction of electric vehicle lithium-ion battery based on particle filter method
    Zachary Bosire Omariba, Lijun Zhang, Dongbai Sun · 2018 · IEEE International Conference on Big Data Analysis (ICBDA)
  14. A heterogeneous learner fusion method with supplementary feature for lithium-ion batteries state of health estimation
    Hailin Feng, Lu Zhang · 2024 · Journal of Energy Storage
  15. Experimental and mathematical studies on cycle life of rechargeable hybrid aqueous batteries
    Zhixu Han, Diana Askhatova, The Nam Long Doan, Tuan K.A. Hoang, P. Chen · 2015 · Journal of Power Sources
  16. Prognostication of remaining useful-life for flexible batteries in foldable wearable electronics
    Pradeep Lall, Hao Zhang · 2016 · IEEE Conference on Prognostics and Health Management
  17. An indirect prediction method of remaining life based on glowworm swarm optimization and extreme learning machine for lithium battery
    Jingrui Wu, Jinxue Xu, Xiaoling Huang · 2017 · Chinese Control Conference (CCC)
  18. Critical Comparison of Li-Ion Aging Models for Second Life Battery Applications
    Sai Vinayak Ganesh, Matilde D’Arpino · 2023 · Energies
  19. A Concept of Operations for an Integrated Vehicle Health Assurance System
    Gary W. Hunter, R. Ross, David E. Berger, John Lekki, Robert W. Mah, Daniel F. Perey, Stefan Schuet, Donald L. Simon, Stephen W. Smith · 2013 · NASA Technical Reports Server (NASA)
  20. Remaining Useful Life Prediction of Li-Ion Battery Based on Charge Voltage Characteristics
    Seong Heum Sim, Jin Hyuk Gang, Dawn An, Sun Il Kim, Jin Young Kim, Joo Ho Choi · 2013 · Transactions of the Korean Society of Mechanical Engineers B
  21. Marine NMEA 2000 Smart Sensors for Ship Batteries Supervision and Predictive Fault Diagnosis
    Emilio García, Eduardo Quiles, Antonio Correcher, F. Morant · 2019 · Sensors
  22. Dynamic Optimization of Battery Health in IoT Networks
    Kazim Ergun, Raid Zuhair Ayoub, Pietro Mercati, Tajana Rosing · 2019 · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
  23. Experimental verification of lithium-ion battery prognostics based on an interacting multiple model particle filter
    Shuai Wang, Wei Han, Lifei Chen, Xiaochen Zhang, MICHAEL G. PECHT · 2020 · Transactions of the Institute of Measurement and Control
  24. Deep Learning Approaches to RUL Prediction of Lithium-ion Batteries
    Sangjin Jung, Jang-Wook Hur · 2020 · Journal of the Korean Society of Manufacturing Process Engineers
  25. Estimation of State-of-Charge and Capacity of Used Lithium-Ion Cells
    Nenad G. Nenadic, Howard E. Bussey, Paul A. Ardis, Michael G. Thurston · 2021 · International Journal of Prognostics and Health Management
  26. Remaining Useful Life Prognostics for Lithium-ion Battery Based on Gaussian Processing Regression Combined with the Empirical Model
    Shan Yin, Jingyue Pang, Datong Liu, Yu Peng · 2013 · Annual Conference of the PHM Society
  27. FPGA-based Implementation of Lithium-ion Battery SOH Estimator Using Particle Filter
    Yuchen Song, Datong Liu, Yu Peng · 2020 · IEEE International Instrumentation and Measurement Technology Conference
  28. General Methodology for the Design of Bell-Shaped Analog-Hardware Classifiers
    Vassilis Alimisis, Nikolaos P. Eleftheriou, Argyro Kamperi, Georgios Gennis, Christos Dimas, Paul Peter Sotiriadis · 2023 · Electronics
  29. A Comprehensive Review on Data‐Driven Methods of Lithium‐Ion Batteries State‐of‐Health Forecasting
    Thien Pham, Hung Nguyen Bui, Mao Nguyen, Quang Pham, Vinh Vu, Triet Minh Le, Tho Quan · 2025 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  30. Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach
    Chen Lü, Lipin Zhang, Jian Ma, Zihan Chen, Laifa Tao, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin · 2017 · Energy
  31. Capacity Prediction for Lithium-ion Batteries Based on Improved Least Squares Support Vector Machine and Box-Cox Transformation
    Xing Shu, LIU Yonggang, Jiangwei Shen, Chen Zheng · 2021 · Journal of Mechanical Engineering
  32. Data-Driven State of Health Estimation for Lithium-Ion Batteries Based on Universal Feature Selection
    Yimeng Li, Pingyuan Huang, Li Ting Gao, Chunwang Zhao, Zhansheng Guo · 2023 · Journal of The Electrochemical Society
  33. Performance Evaluation of Machine Learning and Deep Learning-Based Models for Predicting Remaining Capacity of Lithium-Ion Batteries
    Sang-Hyun Lee · 2023 · Applied Sciences
  34. Lithium-ion battery remaining useful life prediction under grey theory framework
    Zhenwei Zhou, Yun Huang, Yudong Lu, Zhengyu Y. Shi, Liangbiao Zhu, Jiliang Wu, Hui Li · 2014 · Prognostics and System Health Management Conference
  35. Reducing Dimensionality of Multi-regime Data for Failure Prognostics
    Oğuz Bektaş, Amjad Alfudail, Jeffrey Alun Jones · 2017 · Journal of Failure Analysis and Prevention
  36. A prognostic methodology for interconnected systems: preliminary results
    Simona Onori, Giorgio Rizzoni, Andrea Cordoba-Arenas · 2012 · IFAC Proceedings Volumes
  37. Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis
    Elaheh Rabiei, Enrique López Droguett, Mohammad Modarres · 2018 · Entropy
  38. Degredation Modeling and Remaining Useful Life Prediction of Electrolytic Capacitors under Thermal Overstress Condition Using Particle Filters
    Hamed Khorasgani, Chetan S. Kulkarni, Gautam Biswas, Jose ́ R. Celaya, Kai Goebel · 2013 · Annual Conference of the PHM Society
  39. A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
    Yousef A. Radwan, Gabriel Kronberger, Stephan Winkler · 2025 · Lecture notes in computer science
  40. Performance and Life Analysis of Lithium‐Ion Batteries Aided by Data‐Driven Analysis
    Ashish Anil Deshpande, S. D. V. S. S. Varma Siruvuri, Y. B. Sudhir Sastry, B Rammohan, Samy Refahy Mahmoud, P. R. Budarapu · 2025 · International journal of mechanical system dynamics
  41. Similarity Based Remaining Useful Life Prediction for Lithium-ion Battery under Small Sample Situation Based on Data Augmentation
    Zongyao Wang, Wei Shangguan, Cong Peng, Baigen Cai · 2023 · Eksploatacja i Niezawodnosc - Maintenance and Reliability
  42. Machine Learning-Based Electrode-Level State-of-Health Estimation for NMC/Graphite Battery Cells
    Ruixin Zheng, Suhak Lee, Je-Heon Han, Youngki Kim · 2024 · IEEE Transactions on Transportation Electrification
  43. Battery Capacity Estimation of Low-Earth Orbit Satellite Application
    Myungsoo Jun, Kandler A. Smith, Eric W. Wood, Marshall C. Smart · 2020 · International Journal of Prognostics and Health Management
  44. A Current-Mode Control Li-Ion Battery Charger with Trickle-Current Mode and Built-In Aging Detection
    Zhe-Ming Guo, Shih-Ming Huang, Tsung‐Heng Tsai · 2019 · IEEE International Symposium on Circuits and Systems proceedings
  45. Архитектура системы предсказательного технического обслуживания сложных многообъектных систем в концепции Индустрии 4.0
    Ван Сай, Sai Van Cuong, М.В. Щербаков, Shcherbakov M.V. · 2020 · Международный журнал Программные продукты и системы
  46. Reliability Analysis for Multi-Phase Wiener Processes Considering Phase- Varying Nonlinearity
    Zhihua Wang, Ao Zhang, Chengrui Liu, Qiong Wu · 2020 · IEEE Access
  47. Comparison of Prognostic Health Management Algorithms for Assessment of Electronic Interconnect Reliability Under Vibration
    Pradeep Lall, Ryan D. Lowe · 2014 · Journal of Electronic Packaging
  48. Distributed active learning with application to battery health management
    Huimin Chen, X. Rong Li · 2011
  49. An Intelligent Fleet Condition-Based Maintenance Decision Making Method Based on Multi-Agent
    Qiang Feng, Songjie Li, Bo Sun · 2021 · International Journal of Prognostics and Health Management
  50. Joint Prediction of Li-Ion Battery Cycle Life and Knee Point Based on Early Charging Performance
    Xinru Cui, Jinlong Zhang, Di Zhang, Yanjun Wei, Hanhong Qi · 2025 · Symmetry
  51. Early-stage capacity and remaining useful life prediction of lithium-ion batteries using multiple correlation analysis-based feature screening and optimizing hybrid architecture
    di zheng, Ye Zhang, Wenjun Deng, Xifeng Guo, Yi Ning, Rongjian Wei · 2026 · Journal of Energy Storage
  52. Towards Channel-Wise Bidirectional Representation Learning with Fixed-Point Positional Encoding for SoH Estimation of Lithium-Ion Battery
    Thien Pham, Loi Truong, Hung Nguyen Bui, Thang Quyet Tran, Akhil Garg, Liang Gao, Tho Quan · 2022 · Electronics
  53. Machine Learning based SoC Estimation for Li-Ion Battery
    Sanjay Gupta, Praveen Kumar Mishra · 2023 · International Conference on Energy, Power and Environment (ICEPE)
  54. Lithium-ion batteries life prediction method basedon degenerative characters and improved particle filter
    Hongzheng Fang, Huanzhen Fan, Haodong Ma, Hui Shi, Yunfan Dong · 2015 · IEEE Conference on Prognostics and Health Management
  55. Optimal Distributed Nonlinear Battery Control
    Alper Sinan Akyürek, Tajana Simunic · 2016 · IEEE Journal of Emerging and Selected Topics in Power Electronics
  56. Suitable feature selection for prediction of lithium-ion batteries remaining useful life
    Zhengyang Ma, Meili Chen, Jianyuan Cao, Yuan Yao, Yi Liu · 2020 · International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
  57. A Fusion Prognostic Method for Remaining Useful Life Prediction Based on an Extended Belief Rule Base and Particle Filters
    Bin Wen, Mingqing Xiao, Guanghao Wang, Zhao Yang, Jianfeng Li, Chen Xin · 2021 · IEEE Access
  58. A novel long short-term memory network for lithium-ion battery health diagnosis using charging curve
    Mingqiang Lin, Denggao Wu, Gengfeng Zheng, Ji Wu · 2021 · Transactions of the Institute of Measurement and Control
  59. A Novel Indirect Health Indicator Extraction Based on Charging Data for Lithium-Ion Batteries Remaining Useful Life Prognostics
    Dong Gao, Miaohua Huang, Jiangang Xie · 2017 · SAE International journal of alternative powertrains
  60. Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
    Yu, Bin, Zhang, Tao, Liu, Tianyu, Yao, Lei · 2018 · Mathematical Problems in Engineering
  61. PHM of Li‐ion Batteries
    Saurabh Saxena, Yinjiao Xing, MICHAEL G. PECHT · 2018 · Wiley eBooks
  62. Survey of prognostics methods for condition-based maintenance in engineering systems
    Ehsan Taheri, Ilya V. Kolmanovsky, Oleg Gusikhin · 2019 · arXiv (Cornell University)
  63. Automated feature selection for data-driven models of rapid battery capacity fade and end of life.
    Samuel Greenbank, David A. Howey · 2021 · arXiv (Cornell University)
  64. State of health estimation of lithium-ion batteries using variational-diffusion generative model and attention-enhanced hybrid temporal network
    Jianguo Miao, Jilong Xie, Congying Deng, Changhao Piao, Miao Hua Huang, Mingge He · 2026 · Energy
  65. State of Health analysis for Lithium-ion Batteries considering temperature effect
    F. Lashgari, Emil Petkovski, Loredana Cristaldi · 2022 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
  66. Highly Reliable Monitoring and Equalization in a Hybrid Energy Storage System with Batteries and Supercapacitors for Electric Motor Drives in Building Applications
    Nikolaos Jabbour, Evangelos Tsioumas, Markos Koseoglou, Christos Mademlis · 2018 · IEEE Annual Southern Power Electronics Conference
  67. Capacity Estimation of Lithium-Ion Batteries Based on Multiple Small Voltage Sections and BP Neural Networks
    Yong Tian, Qianyuan Dong, Jindong Tian, Xiaoyu Li · 2023 · Energies
  68. Improving Remaining Useful Life Estimation of Lithium-Ion Batteries when Nearing End of Life
    Luca Martiri, Davide Azzalini, Benedetta Flammini, Loredana Cristaldi, Francesco Amigoni A · 2023 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
  69. Detecting continual anomalies in monitoring data stream based on sampling GPR algorithm
    Jingyue Pang, Datong Liu, Yu Peng, Xiyuan Peng · 2015 · IEEE Conference on Prognostics and Health Management
  70. Prognostic health monitoring for a micro-coil spring interconnect subjected to drop impacts
    Pradeep Lall, Ryan D. Lowe, Kai Goebel · 2013 · IEEE Conference on Prognostics and Health Management
  71. PHM of state-of-charge for flexible power sources in wearable electronics with EKF
    A. Pradeep Lall, Benjun Zhang, C. Rahul Lall · 2018 · IEEE International Reliability Physics Symposium proceedings
  72. Prognostics 102: Efficient Bayesian-Based Prognostics Algorithm in MATLAB
    Ting Dong, Dawn An, Nam Ho Kim · 2019 · IntechOpen eBooks
  73. State of health estimation and remaining useful life prediction for lithium-ion batteries using FBELNN and RCMNN
    Qiongbin Lin, Zhifan Xu, Chih‐Min Lin · 2021 · Journal of Intelligent & Fuzzy Systems
  74. State of Health Estimation of Lithium-Ion Batteries Based on Combination of Gaussian Distribution Data and Least Squares Support Vector Machines Regression
    Didik Djoko Susilo, Achmad Widodo, Toni Prahasto, Muhammad Nizam · 2018 · Materials science forum
  75. Machine Learning Approaches for EV Charging Management: A Systematic Literature Review
    Hanan Thwany, Muhammad Alolaiwy, Mohamed Ali Zohdy, William Edwards, Chris J. Kobus · 2023 · International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)
  76. Health state assessment model for complex systems: Trade-off accuracy and robustness in belief rule base
    Mingyuan Liu, Wei He, You Cao, Shaohua Li, Hailong Zhu, Ning Ma · 2024 · Applied Soft Computing
  77. A Data-Driven Maintenance Framework Incorporating Prognostics Distance and Prognostics and Health Management Methods
    Saikath Bhattacharya, Lance Fiondella · 2025 · International Journal of Reliability Quality and Safety Engineering
  78. SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN
    Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun · 2025 · Batteries
  79. Continuous Time Bayesian Networks in Prognosis and Health Management of Centrifugal Pumps
    Tyler Forrester, Mark Harris, Jacob Senecal, John W. Sheppard · 2019 · Annual Conference of the PHM Society
  80. State-of-Health Estimation of Lithium-Ion Batteries with Attention-Based Deep Learning
    Shengmin Cui, Jisoo Shin, Hyehyun Woo, Seokjoon Hong, Inwhee Joe · 2020 · Advances in intelligent systems and computing
  81. Remaining Useful Life Prediction of Lithium-ion Batteries with Fused Features and Multi-kernel Gaussian Process Regression
    Runqiu Wang, Zhenxing Liu, Yong an Zhang, Qian Su, Xianhe Li · 2021 · Chinese Control and Decision Conference (CCDC)
  82. Impedance technique combined with supervised algorithms-based internal degradation state classification and its economic analysis for safety in retired battery pack
    Mi-Young Lee, Dong‐Ho Han, Kisoo Yoo, Jonghoon Kim · 2023 · Journal of Energy Storage
  83. A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context
    Issam Mallouk, Badr Abou El Majd, Yves Sallez · 2023 · Mathematical Modeling and Computing
  84. A Deep Learning Method for the Health State Prediction of Lithium-Ion Batteries Based on LUT-Memory and Quantization
    Mohamed H. Al-Meer · 2024 · World Electric Vehicle Journal
  85. An integrated health and contingency management case study on an autonomous ground robot
    Liang Dao Tang, Bin Zhang, Jonathan DeCastro, Eric Hettler · 2011 · International Conference on Control and Automation
  86. Discharge Capacity Estimation for Lithium–Ion Battery Packs with Cells in Parallel Connection Based on Current Prediction of In‐Pack Cells
    Long Cheng, Quan Sun · 2016 · Energy Technology
  87. Physics-Based Prognostics
    Namho Kim, Dawn An, Joo-Ho Choi · 2016 · Springer eBooks
  88. Particle filtering based estimation of remaining useful life of lithium-ion batteries employing power fading data
    Arijit Guha, Amit Patra · 2017 · IEEE Conference on Prognostics and Health Management
  89. The use of PHM for a dynamic reliability assessment
    Henrik Heier, Simon Mehringskötter, Christian Preusche · 2018 · IEEE Aerospace Conference (AERO)
  90. A Survey on Prognostics and Comparison Study on the Model-Based Prognostics
    Joo-Ho Choi, Dawn An, Jin-Hyuk Gang · 2011 · Journal of Institute of Control Robotics and Systems
  91. Battery state of health estimation based on automatic feature selection and streamlined temporal focus
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  92. Towards an Information System for Evidence-Based Analysis of Charging Behavior, Charging Demand, and Battery Degradation of Electric Vehicles
    Moritz von Hoffen · 2016 · IEEE Conference on Business Informatics
  93. Prediction of Remaining Useful Life of Lithium-ion Battery Based on Improved Auxiliary Particle Filter
    Huan Li, Zhitao Liu, Hongye Su · 2021 · Chinese Control and Decision Conference (CCDC)
  94. Prognostics and Health Management for Electrified Aircraft Propulsion: State of the Art and Challenges
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  95. A matching design for ultra-capacitor and Li-ion battery cooperation in electric wheel motors
    Shyh‐Jier Huang, Fu‐Sheng Pai, Bo-Ge Huang · 2010 · Society of Instrument and Control Engineers of Japan
  96. Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems
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  97. Lithium Battery Remaining Useful Life Prediction Based on Multi-Kernel Support Vector Regression With Hybrid Optimization Algorithm
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  98. Research on fault prediction method of power electronic circuits based on particle swarm optimization non-homogenous grey model
    Xiaobing Zhao, Zewang Chen, Jiang Cui, Yuntao Jia, Chuanjiang Li · 2014 · Prognostics and System Health Management Conference
  99. Lithium-ion battery state of charge estimation based on dynamic neural network and Kalman filter
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  100. Battery Early End-Of-Life Prediction and Its Uncertainty Assessment with Empirical Mode Decomposition and Particle Filter
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