Online parameter identification for equivalent circuit model of lithium-ion battery

Parameter identification is the most fundamental task for model-based battery management system. However, there are some difficulties in completing this since of existing methods require at least one known parameter or a time-consuming offline procedure to extract parameters from measured data. Based on well-known thevenin equivalent circuit battery, paper determines unique purpose introducing bounded varying forgetting factor recursive square approach which identifies online all model same time. The precision proposed method verified by simulation with error converged zero and maximum less than 1% nominal value.