The invention discloses a fuzzy particle swarm algorithm-based control method for EVs wireless charging, which is characterized in that a fuzzy logic fitness evaluator (FPSO) is used for replacing a fitness function in a traditional particle swarm algorithm (PSO), and the weight distribution proportion of the fitness function can be automatically adjusted and optimized, so that an optimal controller is obtained. The wireless power transmission system obtains shorter output voltage establishment time and smaller steady-state error, that is, the system can more quickly provide required voltage for the electric vehicle when the electric vehicle begins to be charged, and the system can provide more stable voltage for the electric vehicle in the charging process of the electric vehicle. According to the control method for EVs wireless charging based on the fuzzy particle swarm optimization, the charging performance of an electric vehicle is greatly improved, the charging safety is improved, and the service life of a battery is prolonged.
本发明公开了一种用于EVs无线充电的基于模糊粒子群算法的控制方法,使用模糊逻辑适应度评估器(FPSO)取代传统粒子群算法(PSO)中的适应度函数,适应度函数的权重分配比例能够自动调优,从而获得最优控制器。使无线电力传输系统获得了较短的输出电压建立时间和较小的稳态误差,也即在电动汽车开始充电时该系统能更快速的为电动汽车提供需要的电压,在电动汽车充电过程中该系统能为电动汽车提供更稳定的电压。本发明提供的一种用于EVs无线充电的基于模糊粒子群算法的控制方法,电动汽车的充电性能得到了极大的改善,有利于提高充电安全性,延长电池的使用寿命。
Fuzzy particle swarm algorithm-based control method for EVs wireless charging
一种用于EVs无线充电的基于模糊粒子群算法的控制方法
2023-04-04
Patent
Elektronische Ressource
Chinesisch
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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