首页> 外文会议>Annual Conference of the IEEE Industrial Electronics Society >Power-mix optimization for a hybrid ultracapacitor/battery pack in an electric vehicle using real-time GPS data
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Power-mix optimization for a hybrid ultracapacitor/battery pack in an electric vehicle using real-time GPS data

机译:使用实时GPS数据对电动汽车中的混合超级电容器/电池组进行功率混合优化

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摘要

The objective of this work is to investigate the effect of an ultracapacitor/battery based hybrid energy storage system (HESS) in an electric vehicle (EV) prototype having a 200 km range. Global positioning system (GPS) data is used to enhance the HESS power-mix optimization in real-time, based on the relative position of stop signs and traffic signals. It is shown that the GPS information, which is already available in the car, is beneficial in managing the u-cap voltage and reducing the dynamic currents on the battery. Simulations comparing various power sharing algorithms show the superior performance of the GPS enhanced HESS control scheme, based on the experimental drive-cycle. It is shown that utilizing the GPS data in the power optimizer can reduce the battery's peak charge current by 38% compared to a standard HESS.
机译:这项工作的目的是研究基于超级电容器/电池的混合储能系统(HESS)在200 km范围的电动汽车(EV)原型中的作用。基于停车标志和交通信号的相对位置,全球定位系统(GPS)数据用于实时增强HESS动力混合优化。结果表明,汽车中已经可用的GPS信息对于管理u电容电压和减少电池上的动态电流是有好处的。对比各种功率共享算法的仿真显示,基于实验驾驶周期,GPS增强型HESS控制方案具有出色的性能。结果表明,与标准HESS相比,在功率优化器中利用GPS数据可以将电池的峰值充电电流降低38%。

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