Overcoming non-idealities in electric vehicle charging management

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Electrical Systems in Transportation Pub Date : 2021-09-06 DOI:10.1049/els2.12025
Kalle Rauma, Toni Simolin, Antti Rautiainen, Pertti Järventausta, Christian Rehtanz
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引用次数: 6

Abstract

The inconvenient nature of non-ideal charging characteristics is demonstrated from a power system point of view. A new adaptive charging algorithm that accounts for non-ideal charging characteristics is introduced. The proposed algorithm increases the local network capacity utilization rate and reduces charging times. The first unique element of the charging algorithm is exploitation of the measured charging currents instead of ideal or predefined values. The second novelty is the introduction of a short-term memory called expected charging currents. This makes the algorithm capable of adapting to the unique charging characteristics of each vehicle individually without the necessity to obtain any information from the vehicle or the user. The proposed algorithm caters to various non-idealities, such as phase unbalances or the offset between the current set point and the real charging current but is still relatively simple and computationally light. The algorithm is compatible with charging standard IEC 61851 and is validated under different test cases with commercial electric vehicles.

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克服电动汽车充电管理的非理想性
从电力系统的角度论证了非理想充电特性带来的不便。提出了一种考虑非理想充电特性的自适应充电算法。该算法提高了局域网容量利用率,减少了计费次数。充电算法的第一个独特元素是利用测量的充电电流,而不是理想的或预定义的值。第二个新奇之处是引入了一种叫做预期充电电流的短期记忆。这使得该算法能够在不需要从车辆或用户获取任何信息的情况下,单独适应每辆车独特的充电特性。所提出的算法满足了各种非理想情况,如相位不平衡或电流设定点与实际充电电流之间的偏移,但仍然相对简单且计算量轻。该算法与IEC 61851充电标准兼容,并在商用电动汽车的不同测试案例下进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
4.30%
发文量
18
审稿时长
29 weeks
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