Special Session III

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.

电池储能系统在工程和家庭场景应用广泛。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创新研究进展和成果。

Potential topics include but are not limited to the following 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 thermal management 电池热管理
● 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
● 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 research interests include risk assessment and predictive maintenance. (E-mail: huixing.meng@bit.edu.cn)

孟会行于2018年获得法国巴黎综合理工学院计算机科学博士学位。现任北京理工大学爆炸科学与技术国家重点实验室/机电学院安全工程系副研究员。此前，他曾在清华大学工业工程系开展博士后研究。他的主要研究方向包括风险评估和预测性维护。

Chair: Quanzhou Institute of Equipment Manufacturing, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, China

Mingqiang Lin (Senior Member, IEEE) received the B.E. degree in automation and the Ph.D. degree in Control Science and Engineering from the University of Science and Technology of China, Hefei, China, in 2011 and 2016, respectively. He is currently a Full 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 computer vision, pattern recognition, and health prognosis of energy storage systems. (E-mail: kdlmq@fjirsm.ac.cn)

林名强（IEEE 高级会员）分别于 2011 年和 2016 年获得中国科学技术大学自动化专业工学学士学位和控制科学与工程专业工学博士学位。他目前是中国科学院福建物质结构研究所的正高级工程师。研究方向包括：计算机视觉、模式识别和储能系统的健康预测。

Chair: Dongming Fan, Beihang University, China

Dongming Fan received the B.E. degree in Control Science and Engineering in 2013, and 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 is an associate professor at the School of Reliability and Systems Engineering, Beihang University. His research interests include smart maintenance, resilience evaluation and optimization, and critical nodes identification of complex network. (E-mail: fdm314@buaa.edu.cn)

樊冬明于2020年获得北京航空航天大学系统工程博士学位。樊冬明博士曾在瑞典吕勒奥理工大学土木、环境与自然资源工程系和北京航空航天大学交通科学与工程学院任博士后，现任北京航空航天大学可靠性与系统工程学院副教授。他的研究方向包括智能运维、韧性评估和优化、复杂网络重要节点识别等。

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 systems, dynamic risk assessment and business continuity modelling. (E-mail: xingjinduo@bucea.edu.cn)

邢金朵于2020年获得法国巴黎萨克雷大学工业工程博士学位。现任北京建筑大学机械电子与车辆工程学院讲师。她的研究方向包括能源系统的故障预测和健康管理、动态风险评估和业务连续性建模。

Chair: Chengshan Xu, Tsinghua University, China

Chengshan Xu is an assistant researcher in the School of Vehicle and Mobility, Tsinghua University. He has been engaged in research on power and energy storage batteries for seven years. He focuses on exploring the thermal runaway mechanism, modeling, and prevention and control technology development of batteries. As a key participant, he has undertaken battery safety and system safety-related projects for companies such as Mercedes-Benz, GAC, Chang'an, FAW, AVIC, Envision, Huawei, etc. He has visited and exchanged ideas at the Mercedes-Benz R&D headquarters in Germany. He has published more than 60 papers in the field of battery safety and won an outstanding doctoral dissertation award from the China Society of Automotive Engineers. (E-mail: xcs_pcg@mail.tsinghua.edu.cn)

徐成善，男，清华大学车辆学院青年教师，助理研究员。从事动力及储能电池研究7年。致力于电池的热失控机理、建模和防控技术开发。作为主要完成人承担过奔驰、广汽、长安、一汽、蜂巢、孚能、中航、远景、华为等企业的电池安全、系统安全相关项目，具有丰富的项目经验和校企合作经验。曾在德国奔驰研发总部访问交流，开发了大型电池系统安全降维模型。在电池安全领域累计发表论文50余篇，曾获汽车工程学会优秀博士论文。

 Submission Portal

If you are interested in the special session, please submit your paper or abstract here
https://www.zmeeting.org/submission/srse2024 and choose special session 3.

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