基于分段聚合和卡尔曼滤波的 锂电池组 SOC估算.

By the original estimation method, the state of charge (SOC) of lithium battery pack is measured after battery discharge. When the battery internal resistance is large, it is difficult to obtain clear open circuit voltage, leading to errors in SOC estimation of lithium battery pack. To solve the problem, the SOC estimation method of lithium battery pack based on segmented polymerization and Kalman filter was designed. Based on the construction of equivalent circuit model, the parameters of lithium battery were identified, and the SOC estimation indexes such as open circuit voltage were defined. The feedback path of lithium battery was switched by piecewide polymerization, and the SOC value of lithium battery was estimated by linearly recursive Kalman filter. The experimental results show that under the pulse discharge condition of lithium battery, the estimation result of the proposed method is basically consistent with the actual SOC value, and the estimation error can be controlled within 0.4% when SOC is 0.6. [ABSTRACT FROM AUTHOR]