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Model predictive current control of a slow battery charger for electric mobility applications

机译:用于电动汽车的慢速电池充电器的模型预测电流控制

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摘要

This paper presents a model predictive current control applied to aslow electric vehicle (EV) battery charger. Taking into account the similaritiesbetween the power converters inside the EV, it is possible to combine the batterycharger and the motor driver in a single integrated converter, thus reducing theweight and volume of the proposed solution, and also contributing to reduce thefinal price of the EV. Due to the bidirectional power flow capability of the integratedpower converter, when working as a slow EV battery charger it can operatein grid-to-vehicle (G2V) mode and in vehicle-to-grid (V2G) mode, contributingto make EVs an important assets in the future smart grids. The integratedpower converter working as battery charger operates with sinusoidal current andunitary power factor, contributing to improve the power quality of the electricalgrid. This paper provides simulation and experimental results that validate themodel predictive control algorithm applied to the proposed integrated power converterworking as slow EV battery charger.
机译:本文提出了一种应用于低速电动汽车(EV)电池充电器的模型预测电流控制。考虑到EV内部功率转换器之间的相似性,可以将电池充电器和电机驱动器组合在单个集成转换器中,从而减少了所提出解决方案的重量和体积,还有助于降低EV的最终价格。由于集成功率转换器的双向功率流能力,当作为慢速EV电池充电器工作时,它可以在网格到车辆(G2V)模式和车辆到网格(V2G)模式下运行,从而使EV成为重要资产未来的智能电网。用作电池充电器的集成电源转换器以正弦电流和单位功率因数运行,有助于提高电网的电能质量。本文提供的仿真和实验结果验证了模型预测控制算法的有效性,该算法适用于所提出的集成电源转换器(用作慢速EV电池充电器)。

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