A novel framework of multi-dimension capacity estimation and fusion for lithium-ion battery

Abstract

Accurate capacity estimation plays a vital role in lithium-ion battery management. In this paper, an adaptive framework of multi-dimension capacity estimation and fusion for lithium-ion battery is proposed, which can overcome the shortage that the conventional estimation cannot utilize more useful information effectively. Firstly, during the discharging and charging process, two estimation methods, including the state of charge based and incremental capacity analysis based estimation, are employed to acquire the battery capacity, respectively. Then, the error variance of different estimation is analyzed and deduced. An adaptive fusion method based on Kalman filter is proposed, which can combine the two estimates adaptably based on the error variance of estimation. The experimental results indicate the estimation of the proposed fusion method is relatively accurate and robust.