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Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

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  1. An, Zhoujian & Zhao, Yabing & Du, Xiaoze & Shi, Tianlu & Zhang, Dong, 2023. "Experimental research on thermal-electrical behavior and mechanism during external short circuit for LiFePO4 Li-ion battery," Applied Energy, Elsevier, vol. 332(C).
  2. Zhang, Xiaoxi & Pan, Yongjun & Zhou, Junxiao & Li, Zhixiong & Liao, Tianjun & Li, Jie, 2024. "Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
  3. David Beck & Philipp Dechent & Mark Junker & Dirk Uwe Sauer & Matthieu Dubarry, 2021. "Inhomogeneities and Cell-to-Cell Variations in Lithium-Ion Batteries, a Review," Energies, MDPI, vol. 14(11), pages 1-25, June.
  4. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Bianchi, Francesco & Domenghini, Piergiovanni & Cotana, Franco & Wang, Jinwen, 2022. "A techno-economic analysis of a solar PV and DC battery storage system for a community energy sharing," Energy, Elsevier, vol. 244(PB).
  5. Zhang, Junwei & Zhang, Weige & Sun, Bingxiang & Zhang, Yanru & Fan, Xinyuan & Zhao, Bo, 2024. "A novel method of battery pack energy health estimation based on visual feature learning," Energy, Elsevier, vol. 293(C).
  6. Vishnu P. Sidharthan & Yashwant Kashyap & Panagiotis Kosmopoulos, 2023. "Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles," Energies, MDPI, vol. 16(3), pages 1-26, January.
  7. Das, Kaushik & Kumar, Roushan & Krishna, Anurup, 2024. "Analyzing electric vehicle battery health performance using supervised machine learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
  8. Jiang, Bo & Zhu, Jiangong & Wang, Xueyuan & Wei, Xuezhe & Shang, Wenlong & Dai, Haifeng, 2022. "A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 322(C).
  9. Li, Xiaoyu & Chen, Le & Hua, Wen & Yang, Xiaoguang & Tian, Yong & Tian, Jindong & Xiong, Rui, 2024. "Optimal charging for lithium-ion batteries to avoid lithium plating based on ultrasound-assisted diagnosis and model predictive control," Applied Energy, Elsevier, vol. 367(C).
  10. Mo, Daijiang & Wang, Shunli & Fan, Yongcun & Takyi-Aninakwa, Paul & Zhang, Mengyun & Wang, Yangtao & Fernandez, Carlos, 2024. "Enhanced multi-constraint dung beetle optimization-kernel extreme learning machine for lithium-ion battery state of health estimation with adaptive enhancement ability," Energy, Elsevier, vol. 307(C).
  11. Foad H. Gandoman & Emad M. Ahmed & Ziad M. Ali & Maitane Berecibar & Ahmed F. Zobaa & Shady H. E. Abdel Aleem, 2021. "Reliability Evaluation of Lithium-Ion Batteries for E-Mobility Applications from Practical and Technical Perspectives: A Case Study," Sustainability, MDPI, vol. 13(21), pages 1-24, October.
  12. Guo, Wenchao & Yang, Lin & Deng, Zhongwei & Li, Jilin & Bian, Xiaolei, 2023. "Rapid online health estimation for lithium-ion batteries based on partial constant-voltage charging segment," Energy, Elsevier, vol. 281(C).
  13. Zuo, Hongyan & Liang, Jingwei & Zhang, Bin & Wei, Kexiang & Zhu, Hong & Tan, Jiqiu, 2023. "Intelligent estimation on state of health of lithium-ion power batteries based on failure feature extraction," Energy, Elsevier, vol. 282(C).
  14. Hongya Zhang & Hao Chen & Haisheng Fang, 2022. "Cooling Optimization Strategy for a 6s4p Lithium-Ion Battery Pack Based on Triple-Step Nonlinear Method," Energies, MDPI, vol. 16(1), pages 1-31, December.
  15. Rauf, Huzaifa & Khalid, Muhammad & Arshad, Naveed, 2022. "Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  16. Wei, Meng & Ye, Min & Zhang, Chuanwei & Wang, Qiao & Lian, Gaoqi & Xia, Baozhou, 2024. "Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling," Energy, Elsevier, vol. 296(C).
  17. Shunli Wang & Pu Ren & Paul Takyi-Aninakwa & Siyu Jin & Carlos Fernandez, 2022. "A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries," Energies, MDPI, vol. 15(14), pages 1-27, July.
  18. Iván Sanz-Gorrachategui & Pablo Pastor-Flores & Antonio Bono-Nuez & Cora Ferrer-Sánchez & Alejandro Guillén-Asensio & Carlos Bernal-Ruiz, 2021. "Lithium-Ion Battery Parameter Identification via Extremum Seeking Considering Aging and Degradation," Energies, MDPI, vol. 14(22), pages 1-12, November.
  19. Xu, Yiming & Ge, Xiaohua & Shen, Weixiang, 2024. "Multi-objective nonlinear observer design for multi-fault detection of lithium-ion battery in electric vehicles," Applied Energy, Elsevier, vol. 362(C).
  20. Dongcheul Lee & Byungmook Kim & Chee Burm Shin & Seung-Mi Oh & Jinju Song & Il-Chan Jang & Jung-Je Woo, 2022. "Modeling the Combined Effects of Cyclable Lithium Loss and Electrolyte Depletion on the Capacity and Power Fades of a Lithium-Ion Battery," Energies, MDPI, vol. 15(19), pages 1-13, September.
  21. Tian, Yu & Lin, Cheng & Li, Hailong & Du, Jiuyu & Xiong, Rui, 2021. "Detecting undesired lithium plating on anodes for lithium-ion batteries – A review on the in-situ methods," Applied Energy, Elsevier, vol. 300(C).
  22. Sai Vinayak Ganesh & Matilde D’Arpino, 2023. "Critical Comparison of Li-Ion Aging Models for Second Life Battery Applications," Energies, MDPI, vol. 16(7), pages 1-23, March.
  23. Yang, Bowen & Wang, Dafang & Sun, Xu & Chen, Shiqin & Wang, Xingcheng, 2023. "Offline order recognition for state estimation of Lithium-ion battery using fractional order model," Applied Energy, Elsevier, vol. 341(C).
  24. Shahjalal, Mohammad & Roy, Probir Kumar & Shams, Tamanna & Fly, Ashley & Chowdhury, Jahedul Islam & Ahmed, Md. Rishad & Liu, Kailong, 2022. "A review on second-life of Li-ion batteries: prospects, challenges, and issues," Energy, Elsevier, vol. 241(C).
  25. Naseri, F. & Karimi, S. & Farjah, E. & Schaltz, E., 2022. "Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
  26. Tian, Jiaqiang & Xu, Ruilong & Wang, Yujie & Chen, Zonghai, 2021. "Capacity attenuation mechanism modeling and health assessment of lithium-ion batteries," Energy, Elsevier, vol. 221(C).
  27. Guo, Shanshan & Yang, Ruixin & Shen, Weixiang & Liu, Yongsheng & Guo, Shenggang, 2022. "DC-AC hybrid rapid heating method for lithium-ion batteries at high state of charge operated from low temperatures," Energy, Elsevier, vol. 238(PB).
  28. Wang, Qiao & Ye, Min & Cai, Xue & Sauer, Dirk Uwe & Li, Weihan, 2023. "Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications," Applied Energy, Elsevier, vol. 350(C).
  29. Chongming Wang & Tazdin Amietszajew & Ruth Carvajal & Yue Guo & Zahoor Ahmed & Cheng Zhang & Gregory Goodlet & Rohit Bhagat, 2021. "Cold Ageing of NMC811 Lithium-ion Batteries," Energies, MDPI, vol. 14(16), pages 1-15, August.
  30. Li, Alan G. & West, Alan C. & Preindl, Matthias, 2022. "Towards unified machine learning characterization of lithium-ion battery degradation across multiple levels: A critical review," Applied Energy, Elsevier, vol. 316(C).
  31. Li, Yong & Wang, Liye & Feng, Yanbiao & Liao, Chenglin & Yang, Jue, 2024. "An online state-of-health estimation method for lithium-ion battery based on linear parameter-varying modeling framework," Energy, Elsevier, vol. 298(C).
  32. Yanru Yang & Jie Wen & Jianyu Liang & Yuanhao Shi & Yukai Tian & Jiang Wang, 2023. "Remaining Useful Life Prediction for Lithium-Ion Batteries Based on the Partial Voltage and Temperature," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
  33. Fan, Xinyuan & Qi, Hongfeng & Zhang, Weige & Zhang, Yanru, 2024. "Experiment-free physical hybrid neural network approach for battery pack inconsistency estimation," Applied Energy, Elsevier, vol. 358(C).
  34. Antônio Rufino Júnior, Carlos & Sanseverino, Eleonora Riva & Gallo, Pierluigi & Koch, Daniel & Schweiger, Hans-Georg & Zanin, Hudson, 2022. "Blockchain review for battery supply chain monitoring and battery trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
  35. Chen, Zhang & Chen, Liqun & Ma, Zhengwei & Xu, Kangkang & Zhou, Yu & Shen, Wenjing, 2023. "Joint modeling for early predictions of Li-ion battery cycle life and degradation trajectory," Energy, Elsevier, vol. 277(C).
  36. Shida Jiang & Zhengxiang Song, 2021. "Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance," Energies, MDPI, vol. 14(16), pages 1-20, August.
  37. Ren, Zhijun & Li, Huajie & Yan, Wenyi & Lv, Weiguang & Zhang, Guangming & Lv, Longyi & Sun, Li & Sun, Zhi & Gao, Wenfang, 2023. "Comprehensive evaluation on production and recycling of lithium-ion batteries: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
  38. Panyawoot Boonluk & Sirote Khunkitti & Pradit Fuangfoo & Apirat Siritaratiwat, 2021. "Optimal Siting and Sizing of Battery Energy Storage: Case Study Seventh Feeder at Nakhon Phanom Substation in Thailand," Energies, MDPI, vol. 14(5), pages 1-20, March.
  39. Dai, Haifeng & Jiang, Bo & Hu, Xiaosong & Lin, Xianke & Wei, Xuezhe & Pecht, Michael, 2021. "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  40. Guo, Ruohan & Shen, Weixiang, 2022. "Online state of charge and state of power co-estimation of lithium-ion batteries based on fractional-order calculus and model predictive control theory," Applied Energy, Elsevier, vol. 327(C).
  41. Alireza Eslami Majd & Fideline Tchuenbou-Magaia & Agnero M. Meless & David S. Adebayo & Nduka Nnamdi Ekere, 2023. "A Review on Cooling Systems for Portable Energy Storage Units," Energies, MDPI, vol. 16(18), pages 1-23, September.
  42. Fan, Chuanxin & O’Regan, Kieran & Li, Liuying & Higgins, Matthew D. & Kendrick, Emma & Widanage, Widanalage D., 2022. "Data-driven identification of lithium-ion batteries: A nonlinear equivalent circuit model with diffusion dynamics," Applied Energy, Elsevier, vol. 321(C).
  43. Li, Hao & Zhang, Weige & Sun, Bingxiang & Cai, Xue & Fan, Xinyuan & Zhao, Bo & Zhang, Caiping, 2023. "The degradation characteristics and mechanism of Li[Ni0.5Co0.2Mn0.3]O2 batteries with high frequency current ripple excitation," Applied Energy, Elsevier, vol. 343(C).
  44. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).
  45. Zhou, Yifei & Wang, Shunli & Xie, Yanxing & Shen, Xianfeng & Fernandez, Carlos, 2023. "Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm," Energy, Elsevier, vol. 285(C).
  46. Hu, Xiaoqian & Wang, Chao & Lim, Ming K. & Chen, Wei-Qiang & Teng, Limin & Wang, Peng & Wang, Heming & Zhang, Chao & Yao, Cuiyou & Ghadimi, Pezhman, 2023. "Critical systemic risk sources in global lithium-ion battery supply networks: Static and dynamic network perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  47. Li, Qingbo & Zhong, Jun & Du, Jinqiao & Yi, Yong & Tian, Jie & Li, Yan & Lai, Chunyan & Lu, Taolin & Xie, Jingying, 2024. "Probabilistic neural network-based flexible estimation of lithium-ion battery capacity considering multidimensional charging habits," Energy, Elsevier, vol. 294(C).
  48. Shabani, Masoume & Wallin, Fredrik & Dahlquist, Erik & Yan, Jinyue, 2023. "The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application," Energy, Elsevier, vol. 270(C).
  49. Lai, Xin & Zhou, Long & Zhu, Zhiwei & Zheng, Yuejiu & Sun, Tao & Shen, Kai, 2023. "Experimental investigation on the characteristics of coulombic efficiency of lithium-ion batteries considering different influencing factors," Energy, Elsevier, vol. 274(C).
  50. Yongsheng Shi & Tailin Li & Leicheng Wang & Hongzhou Lu & Yujun Hu & Beichen He & Xinran Zhai, 2023. "A Method for Predicting the Life of Lithium-Ion Batteries Based on Successive Variational Mode Decomposition and Optimized Long Short-Term Memory," Energies, MDPI, vol. 16(16), pages 1-16, August.
  51. Wang, Lubing & Li, Jianping & Chen, Jiaying & Duan, Xudong & Li, Binqi & Li, Jiani, 2023. "Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation," Applied Energy, Elsevier, vol. 351(C).
  52. Khaleghi, Sahar & Hosen, Md Sazzad & Karimi, Danial & Behi, Hamidreza & Beheshti, S. Hamidreza & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "Developing an online data-driven approach for prognostics and health management of lithium-ion batteries," Applied Energy, Elsevier, vol. 308(C).
  53. Molla Shahadat Hossain Lipu & Tahia F. Karim & Shaheer Ansari & Md. Sazal Miah & Md. Siddikur Rahman & Sheikh T. Meraj & Rajvikram Madurai Elavarasan & Raghavendra Rajan Vijayaraghavan, 2022. "Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities," Energies, MDPI, vol. 16(1), pages 1-31, December.
  54. Zhang, Dayu & Wang, Zhenpo & Liu, Peng & She, Chengqi & Wang, Qiushi & Zhou, Litao & Qin, Zian, 2024. "A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles," Energy, Elsevier, vol. 294(C).
  55. Jia Guo & Yaqi Li & Kjeld Pedersen & Daniel-Ioan Stroe, 2021. "Lithium-Ion Battery Operation, Degradation, and Aging Mechanism in Electric Vehicles: An Overview," Energies, MDPI, vol. 14(17), pages 1-22, August.
  56. Zhao, Yang & Wang, Zhenpo & Shen, Zuo-Jun Max & Zhang, Lei & Dorrell, David G. & Sun, Fengchun, 2022. "Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation," Applied Energy, Elsevier, vol. 327(C).
  57. Chen, Zhang & Shen, Wenjing & Chen, Liqun & Wang, Shuqiang, 2022. "Adaptive online capacity prediction based on transfer learning for fast charging lithium-ion batteries," Energy, Elsevier, vol. 248(C).
  58. Zhou, Yuekuan, 2024. "Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence," Applied Energy, Elsevier, vol. 371(C).
  59. Zhong, Hao & Lei, Fei & Zhu, Wenhao & Zhang, Zhe, 2022. "An operation efficacy-oriented predictive control management for power-redistributable lithium-ion battery pack," Energy, Elsevier, vol. 251(C).
  60. Dapai Shi & Jingyuan Zhao & Chika Eze & Zhenghong Wang & Junbin Wang & Yubo Lian & Andrew F. Burke, 2023. "Cloud-Based Artificial Intelligence Framework for Battery Management System," Energies, MDPI, vol. 16(11), pages 1-21, May.
  61. Tian, Jinpeng & Xiong, Rui & Shen, Weixiang & Lu, Jiahuan, 2021. "State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach," Applied Energy, Elsevier, vol. 291(C).
  62. Kang, Hyuna & Jung, Seunghoon & Lee, Minhyun & Hong, Taehoon, 2022. "How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
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  64. Gao, Tianfeng & Bai, Jinlong & Ouyang, Dongxu & Wang, Zhirong & Bai, Wei & Mao, Ning & Zhu, Yu, 2023. "Effect of aging temperature on thermal stability of lithium-ion batteries: Part A – High-temperature aging," Renewable Energy, Elsevier, vol. 203(C), pages 592-600.
  65. Shanshan Guo & Zhiqiang Han & Jun Wei & Shenggang Guo & Liang Ma, 2022. "A Novel DC-AC Fast Charging Technology for Lithium-Ion Power Battery at Low-Temperatures," Sustainability, MDPI, vol. 14(11), pages 1-10, May.
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