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RESEARCH PAPER · Energy storage materials · 2022

Prediction of Li-ion battery capacity degradation considering polarization recovery with a hybrid ensemble learning model

Zheming Tong, Jiazhi Miao, Jiale Mao, Zhuoya Wang, Yingying Lü

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Prediction of Li-ion battery capacity degradation considering polarization recovery with a hybrid ensemble learning modelOriginalFlexible battery state of health and state of charge estimation using partial charging data and deep learning245Linear Model for Online State of Health Estimation of Lithium-Ion Batteries Using Segmented Discharge Profiles24State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles under Extreme Operating Temperatures Based on an Adaptive Temporal Convolutional Network26Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy150A novel cycle counting perspective for energy management of grid integrated battery energy storage systems11Experimental research on thermal-electrical behavior and mechanism during external short circuit for LiFePO4 Li-ion battery78Surface Temperature Detection of Li-Ion Batteries by Intelligent Gray Box Model0Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings50Feature–target pairing in machine learning for battery health diagnosis and prognosis: A critical review20Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization87A novel hybrid scheme for remaining useful life prognostic based on secondary decomposition, BiGRU and error correction41State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory34A P-Value Approach for Real-Time Identifying the Capacity Regeneration Phenomenon of Lithium-ion Batteries3Building Smarter Aqueous Batteries23State of temperature detection of Li-ion batteries by intelligent gray box model17Explainable Predictive Maintenance is Not Enough: Quantifying Trust in Remaining Useful Life Estimation13A Two-State-Based Hybrid Model for Degradation and Capacity Prediction of Lithium-Ion Batteries with Capacity Recovery5NIR‐emitting Electrochromic Windows for Cold Climate Region Buildings6A self‐adaptive, data‐driven method to predict the cycling life of lithium‐ion batteries42Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects55Battery degradation stage detection and life prediction without accessing historical operating data42Semi-Empirical Model of Nickel Manganese Cobalt (NMC) Lithium-Ion Batteries Including Capacity Regeneration Phenomenon14Novel Battery State of Health Estimation and Lifetime Prediction Method Based on the Catboost Model17Smart Electrolytes for Lithium Batteries with Reversible Thermal Protection at High Temperatures7The Application of Anomalous Degradation Identification for Lithium-ion Batteries of Portable Devices and Wearable Technologies0Optimized XGBoost modeling for accurate battery capacity degradation prediction73Estimation of state of charge for polymer solid-state batteries: Ensemble learning models and temperature impact study11Inconsistency analysis and comprehensive performance quantization of lithium-ion battery module configurations considering multi-factor cell-to-cell variation12Degradation of commercial Li4Ti5O12-based lithium-ion batteries under extremely fast cycling rates21Leveraging machine learning for accelerated materials innovation in lithium-ion battery: A review54Weibull Distribution-Informed Neural Networks (WDINNs): a probabilistic framework for enhanced degradation prediction in LIBs2Leveraging the knee point: Boosting remaining useful life prediction accuracy for lithium-ion batteries with virtual-enhanced normalizing flow3Explainable Artificial Intelligence of Things for Health Prognosis of Lithium-Ion Batteries5Enhanced few-shot state-of-health estimation for lithium-ion batteries via Masked Autoencoder9Unified physics-informed subspace identification and transformer learning for lithium-ion battery state-of-health estimation11Residual learning model for battery capacity prediction of electric vehicle via parameter consistency features0Influence of external short circuit on the performance and safety of lithium iron phosphate batteries1Efficient thermal assessment and management of battery energy storage system based on thermal resistance network0Developing an efficient hierarchical regrouping method for uncharacterized retired electric vehicle Li-ion batteries based on partial pulse discharge curves1Research on Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Variational Mode Decomposition and Improved Particle Swarm Optimization LSTM0Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction4Rapid state of charge and state of health estimation of heterogeneous retired lithium-ion batteries via direct current pulse test and multi-stage deep transfer learning0A closed-loop degradation-aware self-healing battery framework for ultra-long-duration energy storage0Physically Constrained Temporal Fusion Transformer with LLM-Assisted Hyperparameter Optimization for Multi-Scenario Energy Time Series Forecasting0

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  1. Flexible battery state of health and state of charge estimation using partial charging data and deep learning

    Energy storage materials · 2022-07-03

    Jinpeng Tian, Rui Xiong, Weixiang Shen, Jiahuan Lu, Fengchun Sun

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  2. Linear Model for Online State of Health Estimation of Lithium-Ion Batteries Using Segmented Discharge Profiles

    IEEE Transactions on Transportation Electrification · 2022-09-14

    Elisa Y.M. Ang, Yew Chai Paw

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  3. State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles under Extreme Operating Temperatures Based on an Adaptive Temporal Convolutional Network

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    Jiazhi Miao, Zheming Tong, Shuiguang Tong, Jun Zhang, Jiale Mao

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  4. Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy

    Journal of Energy Chemistry · 2022-10-05

    Rui Xiong, Jinpeng Tian, Weixiang Shen, Jiahuan Lu, Fengchun Sun

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  5. A novel cycle counting perspective for energy management of grid integrated battery energy storage systems

    Energy Reports · 2022-11-07

    Kübra Nur Akpınar, Burcu Mantar Gundogdu, Okan Özgönenel

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  6. Experimental research on thermal-electrical behavior and mechanism during external short circuit for LiFePO4 Li-ion battery

    Applied Energy · 2022-12-16

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  7. Surface Temperature Detection of Li-Ion Batteries by Intelligent Gray Box Model

    SSRN Electronic Journal · 2023-01-01

    Sudnya Vaidya, Daniel Depernet, Salah Laghrouche, Daniela Chrenko

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  8. Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings

    IEEE Transactions on Power Electronics · 2023-01-10

    Xing Shu, Zheng Chen, Jiangwei Shen, Shiquan Shen, Fengxiang Guo, Yuanjian Zhang, Yonggang Liu

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  9. Feature–target pairing in machine learning for battery health diagnosis and prognosis: A critical review

    EcoMat · 2023-03-25

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  10. Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization

    Energy storage materials · 2023-04-23

    Liqianyun Xu, Feng Wu, Renjie Chen, Li Li

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  11. A novel hybrid scheme for remaining useful life prognostic based on secondary decomposition, BiGRU and error correction

    Energy · 2023-04-24

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  12. State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory

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  13. A P-Value Approach for Real-Time Identifying the Capacity Regeneration Phenomenon of Lithium-ion Batteries

    IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) · 2023-07-26

    Jeff Dunn, Cong-Sheng Huang

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  14. Building Smarter Aqueous Batteries

    Small Methods · 2023-09-05

    Canbin Deng, Yiqing Li, Jiaqiang Huang

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  15. State of temperature detection of Li-ion batteries by intelligent gray box model

    Journal of Power Sources · 2023-09-21

    Sudnya Vaidya, Daniel Depernet, Salah Laghrouche, Daniela Chrenko

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  16. Explainable Predictive Maintenance is Not Enough: Quantifying Trust in Remaining Useful Life Estimation

    Annual Conference of the PHM Society · 2023-10-26

    Ripan Kumar Kundu, Khaza Anuarul Hoque

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  17. A Two-State-Based Hybrid Model for Degradation and Capacity Prediction of Lithium-Ion Batteries with Capacity Recovery

    Batteries · 2023-12-15

    Yu Chen, Laifa Tao, Shangyu Li, Haifei Liu, Lizhi Wang

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  18. NIR‐emitting Electrochromic Windows for Cold Climate Region Buildings

    ChemElectroChem · 2023-12-29

    Daniela Pinheiro, Mariana Sofia Peixoto Fernandes, Rui F. P. Pereira, Sónia Pereira, Sandra F. H. Correia, M. Manuela P. Silva, Elvira M. C. Fortunato, Rute A. S. Ferreira, M. C. Gonçalves, V. de Zea Bermudez

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  19. A self‐adaptive, data‐driven method to predict the cycling life of lithium‐ion batteries

    InfoMat · 2024-01-07

    Chao Han, Yuchen Gao, Xiang Chen, Xinyan Liu, Nan Yao, Legeng Yu, Long Kong, Qiang Zhang

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  20. Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects

    Small Methods · 2024-01-11

    Shanling Ji, Jianxiong Zhu, Yaxin Yang, Gonçalo dos Reis, Zhisheng Zhang

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  21. Battery degradation stage detection and life prediction without accessing historical operating data

    Energy storage materials · 2024-04-30

    Mingyuan Zhao, Yongzhi Zhang, Huizhi Wang

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  22. Semi-Empirical Model of Nickel Manganese Cobalt (NMC) Lithium-Ion Batteries Including Capacity Regeneration Phenomenon

    IEEE Transactions on Transportation Electrification · 2024-05-02

    Dávid Bodnár, Gautham Ram Chandra Mouli, František Ďurovský, Pavol Bauer, Zian Qin

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  23. Novel Battery State of Health Estimation and Lifetime Prediction Method Based on the Catboost Model

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  24. Smart Electrolytes for Lithium Batteries with Reversible Thermal Protection at High Temperatures

    Batteries & Supercaps · 2024-06-19

    Qian Yu, Wei Ming Sun, Shuai Wang, Qian Qiu, Wenjun Zhang, Haoran Tian, Lan Xia, Peter Müller‐Buschbaum

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  25. The Application of Anomalous Degradation Identification for Lithium-ion Batteries of Portable Devices and Wearable Technologies

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  26. Optimized XGBoost modeling for accurate battery capacity degradation prediction

    Results in Engineering · 2024-09-04

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  27. Estimation of state of charge for polymer solid-state batteries: Ensemble learning models and temperature impact study

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  28. Inconsistency analysis and comprehensive performance quantization of lithium-ion battery module configurations considering multi-factor cell-to-cell variation

    Journal of Energy Storage · 2025-02-10

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  29. Degradation of commercial Li4Ti5O12-based lithium-ion batteries under extremely fast cycling rates

    Applied Energy · 2025-02-26

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  30. Leveraging machine learning for accelerated materials innovation in lithium-ion battery: A review

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  31. Weibull Distribution-Informed Neural Networks (WDINNs): a probabilistic framework for enhanced degradation prediction in LIBs

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  32. Leveraging the knee point: Boosting remaining useful life prediction accuracy for lithium-ion batteries with virtual-enhanced normalizing flow

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  33. Explainable Artificial Intelligence of Things for Health Prognosis of Lithium-Ion Batteries

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  34. Enhanced few-shot state-of-health estimation for lithium-ion batteries via Masked Autoencoder

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  35. Unified physics-informed subspace identification and transformer learning for lithium-ion battery state-of-health estimation

    Journal of Energy Chemistry · 2025-09-04

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  36. Residual learning model for battery capacity prediction of electric vehicle via parameter consistency features

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  37. Influence of external short circuit on the performance and safety of lithium iron phosphate batteries

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  38. Efficient thermal assessment and management of battery energy storage system based on thermal resistance network

    Applied Thermal Engineering · 2026-04-23

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  39. Developing an efficient hierarchical regrouping method for uncharacterized retired electric vehicle Li-ion batteries based on partial pulse discharge curves

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  40. Research on Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Variational Mode Decomposition and Improved Particle Swarm Optimization LSTM

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  41. Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction

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  42. Rapid state of charge and state of health estimation of heterogeneous retired lithium-ion batteries via direct current pulse test and multi-stage deep transfer learning

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  43. A closed-loop degradation-aware self-healing battery framework for ultra-long-duration energy storage

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