Review of Model-Based State-Of-Charge Estimation Methods for Batteries of Electric Vehicles

摘要

Driving range prediction of electric vehicles and optimal charge control of batteries require accurate state-of-charge (SoC) estimation. However, real-time, accurate estimation of their state is influenced by random factors such as driving loads and operational conditions, due to nonlinear characteristics of batteries. This paper reviews the 'model-based state-of-charge estimation methods' with reference to their contemporaries-the 'look-up table-based method' and 'ampere-hour integral method'. Three model-based SoC estimation methods are discussed-(A) electrochemical model, (B) equivalent circuit model and (C) electrochemical impedance model.