Lithium-ion battery life prediction based on extended Kalman filter
Accurate prediction of the remaining useful life(RUL)of lithium-ion batteries is of great significance in detecting the battery's health conditions and improving the safety of battery operation.However,predicting the RUL of lithium-ion batteries is difficult due to the non-linearity of battery degradation and the complexity of battery models.This paper employs a dual-exponential decay model integrated with the extended Kalman filter(EKF)algorithm to predict the RUL of lithium-ion batteries.Matlab is employed for the simulation of RUL prediction,and the simulation results are compared and analyzed with NASA capacity data.Our simulation results demonstrate the dual-exponential decay model integrated with the extended Kalman filter algorithm has a small deviation between the prediction and the actual RUL,with an overall average absolute error of about 10.9%,indicating a high accuracy.
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