Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car

被引：0

作者：

Michalczuk, Marek ^{[1
]}

Ufnalski, Bartlomiej ^{[1
]}

Grzesiak, Lech M. ^{[1
]}

机构：

[1] Warsaw Univ Technol, Inst Control & Ind Elect, 75 Koszykowa St, PL-00662 Warsaw, Poland

来源：

2016 18TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'16 ECCE EUROPE) | 2016年

关键词：

hybrid energy storage system; fuzzy logic controller; particle swarm optimizing; electric vehicle; power management; BATTERY; VEHICLES; LIFE;

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：

This paper describes the particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric vehicle. The Sugeno-type fuzzy inference system has been applied to divide power between the battery and ultracapacitor energy storage systems, as well as to manage the amount of energy stored in ultracapacitors. The two output signals of the described fuzzy logic controller represent power for each energy storage system, and are the weighted sums of all inference rule outputs. The particle swarm optimization has been proposed to determine the weights of rules. A simulation and experimental validation of the power management algorithm is also introduced in this paper.

引用

页数：10

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