Redundant Equalization Pre-equalization Strategy Based on Cluster Analysis

To solve the problem of low equalization or discharge efficiency, and improve the poor equalization effect due to large dispersion of individual batteries in the discharge process of redundancy equalization, a pre-equalization strategy of redundancy equalization based on K-means clustering analysis was proposed in this paper. According to this strategy, the battery pack can be divided into three classes, that is, high power type, medium power type, and low power type, which are then used as the foundation to achieve the charge and discharge between implementation classes based on Buck - Boost circuit. Compared with the traditional maximum-power battery which discharges to the minimum-power one, this strategy uses a type of battery as the balance standard, improves the balance of the efficiency of the pre-balanced adjustment battery discrete degree. At the same time, appropriate limitation is applied to the number of access to the battery to reduce the size of the equilibrium current, thereby reducing the power consumption. The simulation results of MATLAB/Simulink show that, under the condition of small battery quantity and large discrete degree of individual battery, the pre-equalization speed following clustering strategy is 4 times higher than that of traditional pre-equalization, which greatly improves the efficiency of pre-equalization, and shows certain practical value.