A data-driven bias correction method based lithium-ion battery modeling approach for electric vehicles application

Due to the inconsistency and varied characteristics of lithium-ion battery cells, the battery pack modeling remains a challenging problem. To model the operation behaviors of each cell in the battery pack, considerable work effort and computation time is needed. This paper proposes a data-driven bias correction based lithium-ion battery modeling method, which can significantly reduce the computation work and remain good model accuracy.