Special Session I

Prognostics and Management of Health and Risk for Battery Systems
电池系统健康和风险的预测与管理

Battery energy storage systems are ubiquitous in engineering and household scenarios. Accurate prognostics of health/risk is crucial to the reliability/safety of battery energy storage systems (e.g., lithium-ion batteries, fuel cells). This special session is interested in articles on the latest research progress and achievements of prognostics of health and risk for battery energy storage systems. Potential topics include but are not limited to the following:
电池储能系统在工程和家庭场景中无处不在。健康和风险的准确预测对于电池储能系统(例如锂离子电池、燃料电池)的可靠性和安全性至关重要。本专题关注于电池储能系统健康和风险预测的最新研究进展和成果。专题主题包括但不限于以下内容:

● Battery health diagnostics 电池健康诊断
● Battery health prognosis 电池健康预测
● Battery health management 电池健康管理
● Battery failure mechanisms and hazards 电池失效机理与危险
● Battery risk assessment 电池风险评估
● Battery risk prediction and early-warning 电池风险预测与预警
● Battery emergency management 电池应急管理
● Battery thermal management 电池热管理
● Retired battery screening 退役电池筛选


Chair: Huixing Meng, Beijing Institute of Technology, China

Huixing Meng received the Ph.D. degree in computer science from the Ecole Polytechnique, France, in 2018. He is currently an Assistant Professor in the Department of Safety Engineering, Beijing Institute of Technology. Previously, he was a postdoctoral research associate in the Department of Industrial Engineering of Tsinghua University, Beijing, China. His major research interests include risk assessment and predictive maintenance. (E-Mail: huixing.meng@bit.edu.cn)

Chair: Mingqiang Lin, Chinese Academy of Sciences, China

Mingqiang Lin received the Ph.D. degree in control science and engineering from the University of Science and Technology of China, Hefei, China, in 2016. He is currently an Associate Professor with the Quanzhou Institute of Equipment Manufacturing, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Jinjiang, China. His research interests include pattern recognition and health prognosis of energy storage systems. (E-Mail: kdlmq@fjirsm.ac.cn)

Chair: Dongming Fan, Beihang University, China

Dongming Fan received the Ph.D. degree in Systems Engineering from Beihang University in 2020. He was a postdoc at the Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology. He will join the School of Reliability and Systems Engineering, Beihang University as an associate professor this year. His research interest includes smart maintenance, resilience evaluation and optimization, and critical nodes identification of complex network. (E-Mail: fdm314@buaa.edu.cn)

Chair: Jinduo Xing, Beijing University of Civil Engineering and Architecture, China

Jinduo Xing received the Ph.D. degree in Industrial Engineering from Centralesupélec, Université Paris-Saclay, Paris, France, in 2020. She is currently a Lecture at School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China. Her research interest includes prognostics and health management of energy system, dynamic risk assessment and business continuity modelling. (E-Mail: xingjinduo@bucea.edu.cn)


 Submission Portal

If you are interested in the special session, please submit your paper or abstract here
https://www.zmeeting.org/submission/srse2023 and choose special session 1.

For any questions, please mail the organizers or conference secretary srse@sciei.org.

 

 

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