基于高效混合方法的光伏并网集成无线电动汽车电池充电器设计

M. Jagadeesh Kumar, Kumar Rahul, Pappula Sampath Kumar, Jiten K. Chavda
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摘要

本文针对光伏发电并网无线电动汽车电池充电器提出了一种火鹰优化器(FHO)技术。火鹰优化器跨越无数无尽的探索空间来解决优化问题。该技术的主要目的是提高效率、减少能源需求、改善电动汽车(EV)接收器和发射器之间的通信以及减少续航焦虑。光伏 (PV) 板、储能装置 (ESU) 和电动汽车是拟议拓扑结构的组成部分。每个单元分别进行调节,储能单元的变流器采用电压调节机制,以确保在各种情况下运行时直流母线电压保持在额定水平。电动汽车快速商业化的一个基本要求是具备充电能力。此外,充电站还能在电池储电量耗尽、太阳能光伏阵列无法发电的情况下智能地使用电网电力。逆变器的调整采用了所提出的技术。FHO 方法在 MATLAB 软件中完成,并对其性能进行了评估。与现有技术相比,拟议方法的效率高达 91%。
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An efficient hybrid approach based design of photovoltaic fed grid integrated wireless electric vehicle battery charger
This article proposes a Fire Hawk Optimizer (FHO) technique for photovoltaic fed grid connected wireless electric vehicle battery‐charger. The optimization issues are solved by the FHO across a countless endless exploring space. The main aim of the proposed technique is to enhance the efficiency, reduce energy demand, improve communication amid the receiver and transmitter sides of electric vehicle (EV) and reduce range anxiety. A photovoltaic (PV) panel, an energy storage unit (ESU), and electric vehicles are part of the proposed topology. Each unit is separately regulated, and the converter of energy storage unit uses a voltage‐regulation mechanism to guarantee that the direct current bus voltage is kept in nominal‐level when operating in various circumstances. An essential requirement for the quick commercialization of EVs is the ability to charge them. Moreover, the charging‐station smartly uses grid power in the event that the battery storage is empty and the generation of solar photovoltaic array is not available. The inverter is tuned using the proposed technique. The FHO method is done in MATLAB software and it evaluated their performance. The proposed methodology provides higher efficiency of 91% than the existing techniques.
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