Improvement of Electric Charging Station Efficiency using situation-dependent Fuzzy Algorithms

被引：0

作者：

Yandulskii, Alexander ^{[1
]}

Kurson, Oleg ^{[1
]}

Bosak, Andrii ^{[1
]}

Kondratiev, Serhii ^{[2
]}

Kuznietsov, Alexander ^{[2
]}

机构：

[1] Natl Tech Univ Ukraine, Igor Sykorsky Kyiv Polytech Inst, Fac Elect Power Engieering & Automat, Dept Power Syst Automat, Kiev, Ukraine

[2] Univ Appl Sci Mittlehessen, Friedberg, Germany

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL SYSTEMS FOR AIRCRAFT, RAILWAY, SHIP PROPULSION AND ROAD VEHICLES & INTERNATIONAL TRANSPORTATION ELECTRIFICATION CONFERENCE (ESARS-ITEC) | 2018年

关键词：

algorithm; charging station; distribution network; electric vehicle; fuzzy logic;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We hereby set out to improve the efficiency of charging stations with quantitative connections of electric vehicles to the charger and power limitations at the point of common coupling. A situational algorithm of electric charging management based on fuzzy logic with maximum fulfilment of electricity demands within power limits is hereby described. A model created in the MATLAB Simulink confirmed the effectiveness of this algorithm.

引用

页数：6

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