Battery passports for promoting electric vehicle resale and repurposing

Andrew Weng is a PhD candidate in the Mechanical Engineering Department at the University of Michigan under the supervision of Dr. Anna Stefanopoulou. His research focuses on leveraging battery manufacturing data to model and predict the long-term performance and safety of lithium-ion battery systems. Eric J. Dufek, PhD, is the department manager for the Energy Storage and Electric Transportation Department at Idaho National Laboratory. His research interests span from understanding battery material degradation to electric vehicle infrastructure. Recently he has focused on the use of advanced analysis techniques, including machine learning, to significantly reduce the time needed to make life and failure mode predictions and classifications. By applying these advanced techniques, he hopes to reduce the time needed to transition to high-energy and fast-charge battery technologies from the benchtop to consumer adoption. Anna Stefanopoulou is the William Clay Ford Professor of Technology at the University of Michigan. She is a fellow of the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), and the Society of Automotive Engineers (SAE). She has co-authored a book, 22 US patents, and more than 400 publications, eight of which have received awards, on estimation and control of engines, fuel cells, and batteries. She has developed a course in battery controls and is passionate about battery engineering education. Andrew Weng is a PhD candidate in the Mechanical Engineering Department at the University of Michigan under the supervision of Dr. Anna Stefanopoulou. His research focuses on leveraging battery manufacturing data to model and predict the long-term performance and safety of lithium-ion battery systems. Eric J. Dufek, PhD, is the department manager for the Energy Storage and Electric Transportation Department at Idaho National Laboratory. His research interests span from understanding battery material degradation to electric vehicle infrastructure. Recently he has focused on the use of advanced analysis techniques, including machine learning, to significantly reduce the time needed to make life and failure mode predictions and classifications. By applying these advanced techniques, he hopes to reduce the time needed to transition to high-energy and fast-charge battery technologies from the benchtop to consumer adoption. Anna Stefanopoulou is the William Clay Ford Professor of Technology at the University of Michigan. She is a fellow of the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), and the Society of Automotive Engineers (SAE). She has co-authored a book, 22 US patents, and more than 400 publications, eight of which have received awards, on estimation and control of engines, fuel cells, and batteries. She has developed a course in battery controls and is passionate about battery engineering education.