​Advanced Battery Management for Emerging Applications

Electrification is reshaping transportation, industry, and the global economy—and lithium‑ion batteries are powering this shift.

As batteries move into electric vehicles, aircraft, grid storage, and autonomous systems at growing paces, the demand for high performance and safety continues to rise.

Systems and control theory provides an enabling means to tackle these challenges through rigorous modeling, estimation, and control for lithium-ion batteries.

This tutorial-style workshop offers a clear, structured introduction to modern battery modeling, monitoring, and control. We blend physical insights with control-theoretic foundations and practical design considerations.

The workshop is ideal for researchers and practitioners in systems and control looking to expand into battery technologies and emerging battery‑powered applications.

Participants will gain a solid understanding of how to model, analyze, and control lithium‑ion batteries across diverse applications, along with the tools needed to contribute to next‑generation battery management systems.

​The workshop also aims to connect foundational research with real‑world deployment and inspire new ideas and collaborations.

Content Outline

The workshop will walk through a clear set of important topics—from the basics all the way to the latest developments, including:
  • Battery modelling, including electrochemical modeling and equivalent circuit modeling
  • Integrating physics with machine learning for batteries
  • Battery model identifiability and identification
  • Model-based state estimation and fault diagnostics
  • Control-oriented battery system design
  • New architectures for battery systems
  • Optimal power control for batter systems
  • Applications including electric vehicles, electric aircraft, and grid storage ​

Tentative Schedule

First Session
  • Introduction & motivation
  • Fundamentals of modeling
  • Model identification
  • Physics + machine learning

Break

Second Session
  • State estimation and fault diagnostics
  • Battery system design and power control
  • Emerging applications: electric vehicles, electric aircraft, and grid storage)

​Interactive Q&A and discussion 
If you’re curious about topics not listed here or have suggestions, feel free to email Dr. Huazhen Fang at [email protected] or just fill in the form below.

    ​Suggestions for the Workshop?

Speaker: Dr. Huazhen Fang

Dr. Huazhen Fang is an Associate Professor of Mechanical Engineering at Michigan State University. Before coming to MSU, he was on the faculty at the University of Kansas. He earned his Ph.D. from UC San Diego, his M.Sc. from the University of Saskatchewan, and his B.Eng. from Northwestern Polytechnic University in China.

His research centers on advanced battery systems and control, with projects supported by the National Science Foundation, the Department of Energy, the Army Research Lab, and others. Along the way, he received the NSF CAREER Award, the University Scholarly Achievement Award at the University of Kansas, and a Prize Paper Award from IEEE Transactions on Transportation Electrification.
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He stays active in the research community by contributing various services. He currently serves as an Associate Editor for IEEE Control Systems Letters and IEEE Transactions on Industrial Electronics, and has organized workshops and sessions at ACC, CDC, and several IEEE conferences. His recent roles include Publicity Chair for ACC 2027, General Chair for IEEE ICPS 2024, Program Co‑Chair for the IEEE IES Online Conference 2024, Tutorials Co‑Chair for IECON 2024, and Keynotes Chair for the IEEE ITEC 2023, among others.
Battery Management Is the SciTech of Extracting Performance While Enhancing Safety.
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