Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles

被引：52

作者：

Martinez, Javier Solano ^{[1
,2
]}

Mulot, Jerome ^{[1
,2
]}

Harel, Fabien ^{[1
,2
]}

Hissel, Daniel ^{[1
,2
]}

Pera, Marie-Cecile ^{[1
,2
]}

John, Robert I. ^{[3
]}

Amiet, Michel ^{[4
]}

机构：

[1] Univ Franche Comte, FEMTO ST Inst, CNRS, UMR 6174, Belfort, France

[2] CNRS, FR 3539, FCLAB, Belfort, France

[3] De Montfort Univ, Ctr Computat Intelligence, Leicester LE1 9BH, Leics, England

[4] DGA, Bagneux, France

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2013年 / 26卷 / 07期

关键词：

Hybrid electrical vehicles; Energy management; Type-2 fuzzy logic systems; Fuel cell system; Ultracapacitors; Experimental validation;

D O I：

10.1016/j.engappai.2012.12.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The aim of this paper is to present experimental validation results of an energy management system for hybrid electrical vehicles based on type-2 fuzzy logic. The energy management system (EMS) is designed by extracting knowledge from several experts using surveys. The consideration of interval type-2 fuzzy sets enables modeling the uncertainty in the answers of the experts. The validation of the EMS is performed on a real-scale heavy duty vehicle equipped with different energy sources such as batteries, fuel cell system and ultracapacitors. Experimental results are strong evidence that type-2 fuzzy logic is wide adapted for performing the energy management in hybrid electrical vehicles. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：1772 / 1779

页数：8

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