Stretching Battery Utilization using Novel Stress/Strain Models and Measurements.

Series/Event Type: 

Maximizing the utilization of lithium-ion batteries relies on accurate prediction of their complex electrochemical, thermal and mechanical behavior. In this presentation, we will highlight key innovations for such a model-predictive battery management system (BMS).

  • Improved state of charge (SOC) estimation by augmenting voltage with bulk stress measurements arising from the lithium intercalation while differentiating from thermal expansion.
  • Advanced state of health (SOH) estimation associated with capacity fading based on monitoring shifts in voltage and bulk stress.
  • Real-time estimation of state of power (SOP) capability enabling aggressive cell utilization at comparable aging.
  • Fast and energy conscious warm-up from subzero temperatures.
Anna G. Stefanopoulou, University of Michigan,Ann Arbor
Maeder Hall, ACEE
Friday, October 6, 2017 - 4:00pm
Faculty Host: 
Hosting Group: 
Dynamics and Control

Speaker Bio

Anna G. Stefanopoulou is the William Clay Ford Professor of Manufacturing at the Mechanical Engineering Department at the University of Michigan and the Director of the Automotive Research Center, a university-based US Army Center of Excellence on Modeling and Simulation of Ground Vehicles. She is an ASME and an IEEE Fellow, elected member of the ASME DSCD executive committee and the IEEE Control System Society Board of Governors. She was the founding chair of the ASME DSCD Energy Systems Technical Committee and a member of a U.S. National Research Council committee on Vehicle Fuel Economy Standards. She has co-authored a book on Control of Fuel Cell Power Systems, 15 US patents, 5 best paper awards and more than 250 publications on estimation and control of internal combustion engines and electrochemical processes such as fuel cells and batteries.

Speaker Photo

Stefanopoulou photo