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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Intelligent Charge Rate Optimization of PHEVs Incorporating Driver Satisfaction and Grid Constraints
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Intelligent Charge Rate Optimization of PHEVs Incorporating Driver Satisfaction and Grid Constraints

机译：结合驾驶员满意度和电网约束的插电式混合动力汽车的智能充电率优化

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摘要

In this paper, an optimization model is developed to find a plug-in hybrid electric vehicle (PHEV) optimum charging rate profile that dynamically varies throughout the day. From the grid point of view, the model takes into account the constraints of maximum demand and charging facilities, while from the driver's point of view, waiting and charging time restrictions are considered. The novelty of this paper lies in maximizing the energy delivered to PHEVs in a region equipped with smart grid technology by intelligently alternating charging rates during the day while incorporating both driver satisfaction constraints as well as grid limitations. Using the proposed optimization model, two cases with optimized charging rates are studied and compared with constant charging levels. Furthermore, quantitative results from the perspective of both power grid contribution and driver satisfaction are presented and discussed in detail for each case.
机译：在本文中，开发了一种优化模型，以查找可在一天内动态变化的插电式混合动力电动汽车（PHEV）最佳充电率曲线。从电网的角度来看，该模型考虑了最大需求和充电设施的约束，而从驾驶员的角度来看，则考虑了等待时间和充电时间的限制。本文的新颖之处在于，通过在白天智能地改变充电率，同时兼顾驾驶员满意度约束和电网局限性，最大化配备智能电网技术的地区向PHEV传递的能量。使用提出的优化模型，研究了两种具有优化充电率的情况，并将其与恒定充电水平进行了比较。此外，从电网贡献和驾驶员满意度两方面介绍了定量结果，并针对每种情况进行了详细讨论。

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