The experiments of dual Kalman filter in lithium battery SOC estimation

摘要

For dual Kalman filter SOC estimation algorithm, this paper designs experiment based on lithium battery Thevenin model according to different conditions. Verification experiment is divided into three stages, namely to verify the constant current charge or discharge, continuous change, mutation of short-term conditions, and do a detailed analysis. Results show that the algorithm can estimate battery SOC with high accuracy online, can solve the problem of accumulated error and allowed initial SOC effectively. The model can react the true state of the inside battery better by calibrating Thevenin model using dual Kalman filter algorithm. Finally, the experiments verified the DEKF algorithm's convergence speed and good robustness.