This talk focuses on learning, estimation, and control methods to enhance electrochemical battery performance. We begin by providing an overview of mathematical models for batteries and the key challenges that motivate new paradigms for learning, estimation and control. Then we focus on “hybrid” models that combine physics with data-driven approaches. ...
