Thermal-electrochemical modeling and parameter sensitivity analysis of lithium-ion battery

In this paper, a thermal-electrochemical model of Li-ion battery was developed based on P2D model, and a set of parameters which related to PHM characteristics were proposed along with the parameter sensitivity analysis. Sensitivity value matrixes were also presented to describe the sensitivity of model output when parameters take different values on different operating conditions. Then, parameters were clustered into four clusters using fuzzy clustering method according to their "Best Condition for Identification", on which the parameter has the greatest sensitivity and most easily to be identified. Finally, design criteria and application suggestions of the "Best Practicable Conditions" were also discussed.