Siegel, Jason

Biography

Dr. Jason Siegel received his Ph.D. in Electrical Engineering Systems from the University of Michigan in 2010.  After a two-year post-doc, he joined the Research Faculty in the Department of Mechanical Engineering at the University of Michigan in 2012.  His research focuses on physics-based modeling and control of energy storage and conversion systems, including lithium-ion batteries and fuel cells. He has developed neutron imaging techniques to better understand how lithium atoms are distributed throughout the electrode in high-power battery applications and to validate physics-based electrochemical models. His current research focuses on the estimation of the critical internal states of the battery using mechanical sensors (stress and strain), and modeling battery thermal runaway to develop diagnostic sensors to enhance battery safety. Dr. Siegel was part of the team that received the 2016 IEEE CONTROL SYSTEMS TECHNOLOGY AWARD: "For the development of an advanced battery management system accounting for electro-thermo-mechanical phenomena." In 2022 he earned the Kenneth M. Reese Outstanding Research Scientist Award. He is a senior member of IEEE and has co-authored more than 65 journal articles and a chapter in the control systems handbook on the application of model predictive control to fuel cells. Dr. Siegel is an active member and past chair of the IEEE Technical Committee on Automotive Control and currently serves as Chair of the SAE Battery Sensors Subcommittee. He is also the Education Director for the Electric Vehicle Center at the University of Michigan.