Venkat R. Subramanian

Estimating and Identifying Parameters from Charge-Discharge Curves of Lithium-Ion Batteries

Electrochemical models for the lithium-ion battery are useful in predicting and controlling its performance. The values of the parameters in these models are vital to their accuracy. However, not all parameters can be measured precisely, especially when destructive methods are prohibited. In this paper, we proposed a parameter estimation approach to estimate the open circuit potential of the positive electrode (Up) using piecewise linear approximation together with all the other parameters of a single particle model. Using the genetic algorithm (GA), Up and 10 more parameters were estimated from a single discharge curve without knowledge of the electrode chemistry. Different case studies were presented for estimating Up with different types of parameters of the battery model. The estimated parameters were then validated by comparing simulations at different C rates with experimental data.