State of Charge, State of Health and State of Function Co-Estimation of Lithium-Ion Batteries for Electric Vehicles

摘要

This paper proposed a co-estimation scheme of State of Charge (SOC), State of Health (SOH), and State of Function (SOF) for lithium-ion batteries. The Extended Kalman Filter is adopted to SOC estimation. Battery parameters are identified online by using Recursive Least Square Algorithm to further estimate battery SOH and SOF. The accuracy of the estimation is improved and the computation is reduced by making good use of the correlations among the states.