Keivan Haghverdi

Rapid and robust parameter estimation for electrochemical battery models via BOLT: A batch-optimized local-to-global technique

Feng Guo, Luis D. Couto, Keivan Haghverdi, Khiem Trad, Grietus Mulder

Accurate and efficient parameter estimation is essential for applying electrochemical battery models in simulation, state estimation, control, and repeated model updating. However, conventional optimization methods, such as particle swarm optimization (PSO) and genetic algorithms…Read more