An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

• Main Authors: Tao Chen, Peng Fu, Xiaojiao Chen, Sheng Dou, Liansheng Huang, Shiying He, Zhengshang Wang
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: World Electric Vehicle Journal
• Subjects: the electric vehicle charging station; three-phase three-level NPC converters; reconstruction method; genetic algorithm; DC-bus current
• Online Access: https://www.mdpi.com/2032-6653/12/3/107

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.