A Comparative Analysis of Online Update Techniques for Battery Model Parameters Considering Complexity and Estimation Accuracy

摘要

This paper compares and analyzes online update techniques which estimate the parameters of battery equivalent circuit model in real time. Online update techniques, which are based on Extended Kalman Filter (EKF) and Recursive Least Square (RLS) methods, are constructed by considering dynamic characteristics of the battery. Each online update technique is compared in terms of complexity and accuracy in order to propose a suitable guide for selecting algorithms on various types of battery applications and the performance of the techniques is verified by simulation and experimental results.