Abstract:
Batteries are ubiquitous. However, today’s batteries are expensive, range-limited, power-restricted, die too quickly, charge too slowly, and susceptible to safety issues. For this reason, model-based battery management systems (BMS) are of extreme interest. In this talk, we discuss eCAL’s open code for electrochemical-thermal battery models. Specifically, we also discuss applications of this code for (i) parameter identification, and (ii) optimal charging control. Finally, we close with exciting new perspectives for next-generation battery systems.
Publication date:
July 23, 2018
Publication type:
Journal Article
Citation:
Moura, S., Perez, H., Gima, Z., Park, S., & Zhang, D. (2018). (Invited) Open Software for Electrochemical Battery Modeling, Estimation, and Control. ECS Meeting Abstracts, MA2018-02(15), 2189. https://doi.org/10.1149/MA2018-02/15/2189