Cross-cycle health indicator construction and state of health prediction of lithium-ion batteries by cross recurrence quantification analysis
Papers|更新时间:2026-10-02
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Cross-cycle health indicator construction and state of health prediction of lithium-ion batteries by cross recurrence quantification analysis
基于交叉递归定量分析的锂离子电池跨周期健康指标构建与健康状态预测
Journal of Reliability Science and EngineeringVol. 2, Issue 3, Pages: 1-15(2026)
作者机构:
Department of Industrial Engineering, School of Management, Zhengzhou University, Zhengzhou 450001, People's Republic of China
Department of Industrial Engineering & Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China
作者简介:
Le Wang received a BS degree in industrial engineering from Zhengzhou University, Zhengzhou, China, in 2024. She is currently pursuing an MS degree in management science and engineering at Zhengzhou University, Zhengzhou, China. Her research interests include battery health management and reliability engineering.
Shuaijie Chen received a BS degree in Internet of Things engineering from Shenyang Ligong University, Shenyang, China, in 2022. He is currently pursuing an MS degree in engineering management at Zhengzhou University, Zhengzhou, China. His research interests include machine learning and robotic arm application technology.
Zhiqiang Cai (M'11) received a BS degree in aircraft design and engineering, an MS degree in management science and engineering, and the PhD degree in management science and engineering from Northwestern Polytechnical University (NPU), Xi'an, China, in 2003, 2006, and 2010, respectively. He is currently a Professor of Industrial Engineering with the School of Mechanical Engineering, NPU. He has authored or coauthored more than 30 academic papers and articles in journals and conferences in the past five years. His research interests include reliability modeling, importance measures, maintenance management, and decision making support.
Weiyan Liu received a PhD degree from the School of Management, Xi'an Jiaotong University, Xi'an, China. He is currently a Lecturer with the School of Management, Zhengzhou University, Zhengzhou, China. His research interests include quality management and supply chain management.
Zhenggeng Ye received a BS degree in industrial engineering from Henan University of Science and Technology, Luoyang, China, in 2012, an MS degree in industrial engineering from Jilin University, Changchun, China, in 2015, and a PhD degree in industrial engineering from Northwestern Polytechnical University, Xi'an, China, in 2021. He was a Joint PhD Student with Pennsylvania State University, University Park, Pennsylvania, USA, from 2019 to 2021. He is currently an Associate Research Fellow with the School of Management, Zhengzhou University, Zhengzhou, China. His interests include manufacturing system modeling and optimization, quality and reliability modeling, machine learning, and industrial big data analytics.
Le Wang, Shuaijie Chen, Zhiqiang Cai, et al. 基于交叉递归定量分析的锂离子电池跨周期健康指标构建与健康状态预测[J]. 可靠性科学与工程学报(英文), 2026, 2: 035302.
Le Wang, Shuaijie Chen, Zhiqiang Cai, et al. Cross-cycle health indicator construction and state of health prediction of lithium-ion batteries by cross recurrence quantification analysis[J]. Journal of Reliability Science and Engineering, 2026, 2: 035302.
Le Wang, Shuaijie Chen, Zhiqiang Cai, et al. 基于交叉递归定量分析的锂离子电池跨周期健康指标构建与健康状态预测[J]. 可靠性科学与工程学报(英文), 2026, 2: 035302.DOI: 10.1088/3050-2454/ae8dd1.
Le Wang, Shuaijie Chen, Zhiqiang Cai, et al. Cross-cycle health indicator construction and state of health prediction of lithium-ion batteries by cross recurrence quantification analysis[J]. Journal of Reliability Science and Engineering, 2026, 2: 035302.DOI: 10.1088/3050-2454/ae8dd1.
Cross-cycle health indicator construction and state of health prediction of lithium-ion batteries by cross recurrence quantification analysis