Lithium-ion battery energy storage systems are
increasingly deployed in electric vehicles and grid applications,
where accurate multiphysics modeling and safe charging control have
become essential. Strong couplings among electrochemical reactions,
thermal dynamics, mechanical stress, and degradation demand advanced
multi-scale models for reliable state estimation and lifetime
prediction. Meanwhile, power-electronics-based fast charging and
active balancing play a critical role in enhancing efficiency,
safety, and cell uniformity in large battery packs.
This Special Session highlights recent advances in multiphysics
battery modeling, digital twins, state-of-health estimation, and
power-electronics-enabled safe charging and balancing control.
Topics include physics-informed models, aging-aware fast-charging
strategies, converter topologies, multi-port charging architectures,
thermal management, and AI-assisted diagnostics. The session aims to
bring together academic and industrial researchers working toward
safer, more efficient, and higher-performance lithium-ion battery
energy storage systems.
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Yajie Jiang
Institute of Electrical Engineering, Chinese Academy of Sciences (IEE-CAS), China
Dr. Yajie Jiang is an Associate Professor at the Institute of Electrical Engineering, Chinese Academy of Sciences (IEE-CAS), Beijing, China. He received the Ph.D. degree in Electrical Engineering from The University of Hong Kong, and subsequently held postdoctoral and research fellow positions at The Hong Kong Polytechnic University and Nanyang Technological University (NTU), Singapore. His research spans power electronics, motor drives, DC/AC microgrids, lithium-ion battery modeling, and AI-enhanced energy management. He has made notable contributions to electrochemical–thermal–mechanical modeling of lithium-ion and solid-state batteries, fast-charging optimization, active balancing control, and next-generation battery management systems. Dr. Jiang has led or participated in multiple major research projects, including CAS BR-A/BR-B talent funds, MOE Tier-1 projects, National Natural Science Foundation of China (NSFC) grants, and international collaboration programs. He has published more than 20 SCI-indexed journal papers as the first or corresponding author, including ESI Highly Cited Paper, and his work has received four Best Paper Awards at ICPEE, PESA, and ITEC-AP. He also serves as a guest editor, technical committee member, and reviewer for leading IEEE journals and major international conferences.
Lei Zhang
Institute of Electrical Engineering, Chinese Academy of Sciences (IEE-CAS), China
Dr. Lei Zhang is an Associate Professor at the Institute of
Electrical Engineering, Chinese Academy of Sciences (IEE-CAS). He
received his Ph.D. in Electrical Engineering from Arizona State
University, USA, and subsequently served as a Research Fellow at
Nanyang Technological University, Singapore. His research focuses on
modular multilevel converters (MMCs), energy storage systems, and
hybrid AC–DC microgrids. Dr. Zhang has made significant
contributions to the development of battery energy storage systems
(BESS) and hybrid energy storage systems based on MMC architectures.
He has led or participated in multiple major research initiatives,
including the BR-B Talent Fund, Key National Science & Technology
Specific Project, and the IEE-CAS Talent Fund. To date, he has
authored or co-authored 16 papers indexed by SCI and was awarded
Best Paper Award at the 8th IEEE Energy Conversion Congress &
Exposition (ECCE) Asia. Additionally, he serves as a reviewer for
the Chilean National Science Funding Agency.
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