消费者前提下降低高峰需求的电动汽车最优充电算法

Dhanushka S. Lokunarangoda, I. Premaratne
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引用次数: 1

摘要

由于日本和亚洲主要汽车制造商宣布,从2017年起,所有生产的汽车都将采用电池供电,电力行业即将面临重大挑战。增加电动汽车数量对电力系统的主要影响是创造了巨大的国内电力需求。电动汽车处于新兴零排放技术的前沿,这对可持续发展的未来至关重要。由于对电动汽车的需求快速增长,这将是管理斯里兰卡电力利用时要考虑的一个关键点。由于高峰需求大量使用柴油发电,商业和环境的成功取决于将车辆充电活动集中在非高峰时段。电力供应和电动汽车之间的智能接口将有助于优化电力需求,减少高峰需求时间的重量。本研究旨在设计和开发一种具有成本效益、高精度的电动汽车充电智能插座,以最大限度地减少电动汽车充电对国家电网的影响,从而减少对环境和经济的影响。针对智能确定充电时间的问题,提出了一种基于历史需求数据、电池现有电量和用户需求的智能确定充电时间算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimum charging algorithm for electric vehicles to reduce the peak demand in consumer premise
A major challenge in the power sector is about to take place since the main Japanese and Asian car manufacturers have announced that all manufactured cars from 2017 will be battery powered. Main effect of increasing the number of Electric Vehicles on power systems is the creation of a significant domestic demand for electricity. Electric vehicles are in the forefront of emerging zero emission technologies that are essential for a sustainable future. Due to the fast growing demand for electric vehicles, it will be a key point to consider when managing the power utilization in Sri Lanka. As peak demand is heavily catered using diesel power, commercial and environmental success relies on concentrating vehicle-charging activities to non-peak hours. An intelligent interface between electricity supply and electric vehicle will help to optimize the electricity demand and reduce the weight at peak demand time. This research worked towards the design and development of a cost effective, high accuracy intelligent socket outlet for charging of electric vehicles to minimize the effect of electric vehicle charging on national grid, hence reduce the environmental and economic impact. For the intelligent determination of charging time, an algorithm has been developed based on historical demand data, existing charge of the battery and the user requirements.
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