Scott Trimboli, Associate Professor of Electrical and Computer Engineering, University of Colorado Colorado Springs and Greg Plett, Professor of Electrical and Computer Engineering, University of Colorado Colorado Springs
Battery packs require careful supervision and management to ensure safety and longevity, and to maximize performance. State-of-art battery-management methods generally use empirical circuit-based models of battery cells to guide their estimates and decisions. However, these models cannot describe the electrochemical state inside the battery cells, and it is precisely this state that indicates unsafe operating conditions, predicts rates of cell degradation, and limits performance. Physics-based models of cells can instead be used with battery-management methods to estimate this state and enhance operation, but there are a number of challenges that impede using these models in practical applications. This presentation proposed methods to overcome these challenges.