Parallelized Genetic Identification of the Thermal-Electrochemical Model for Lithium-Ion Battery
The parameters of a well predicted model can be used as health characteristics for Lithium-ion battery.This article reports a parallelized parameter identification of the thermal-electrochemical model, which significantly reduces the time consumption of parameter identification.Since the P2D model has the most predictability, here it is chosen for