Quadratic Programming-Based Simultaneous Charging Strategy for Battery Packs of Electric Vehicles

An optimal strategy for simultaneous charging of electric vehicle battery packs is proposed as a multiobjective optimization problem in this article. The charger consists of n constant voltage current sources for charging n batteries, respectively. Considering the energy loss and the charging criteria, a battery charging issue for the charging mode is formulated as a multiobjective optimization problem and the optimal solution is obtained with the application of quadratic programming. In addition, an adaptive momentum-based steepest descent algorithm is propounded to minimize the simultaneous charging time in the charging mode. Simulation and experimental results show that the actual state of charge converges to the same value within the theoretical shortest time for under the charging mode.

Automated summary

This article proposes an optimal strategy for simultaneous charging of electric vehicle battery packs, which is formulated as a multiobjective optimization problem. By applying quadratic programming, the optimal solution is obtained and an adaptive momentum-based steepest descent algorithm is proposed to minimize the charging time. Simulation and experimental results show that the proposed method can achieve simultaneous charging of battery packs in the shortest time.