An Open-circuit Fault Diagnosis Method for Power Switching Devices of DC Charging Piles of Electric Vehicles Based on Model Predictive Control Strategy

Hongtao Li, Mingchang Ding, Yinghua Dong, Yuan Li, Chao Zhao, Shuangqing Zhang
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Abstract

Aiming at the open circuit fault of power switching devices which is common in the DC charging pile of electric vehicles, a real-time fault diagnosis method of electric vehicle charging pile based on model predictive control is proposed in this paper. The model predictive current control method is adopted to replace the PI controller in the current loop of the traditional PWM rectifier. On this basis, the switch state of the rectifier applied under the open circuit fault of the power switching devices is compared with the optimal switch state obtained by model predictive control, and the fault feature signal is established to realize the fault diagnosis and positioning of the charging pile power switching devices. Since the fault feature signals of different power switching devices have no influence on each other, this method has significant effect on single tube, double tube, and multiple tube simultaneously fault. The simulation results verify the correctness and effectiveness of the proposed fault diagnosis method for charging piles.
基于模型预测控制策略的电动汽车直流充电桩电源开关装置开路故障诊断方法
针对电动汽车直流充电桩中常见的电源开关器件开路故障,提出了一种基于模型预测控制的电动汽车充电桩实时故障诊断方法。采用模型预测电流控制方法取代传统PWM整流器电流环中的PI控制器。在此基础上,将电源开关装置开路故障下应用的整流器的开关状态与模型预测控制获得的最优开关状态进行比较,建立故障特征信号,实现充电桩电源开关装置的故障诊断与定位。由于不同功率开关器件的故障特征信号互不影响,因此该方法对单管、双管和多管同时故障的检测效果显著。仿真结果验证了所提充电桩故障诊断方法的正确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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