NDLI: Design of Energy Management Strategy in Hybrid Vehicles by Evolutionary Fuzzy System Part I: Fuzzy Logic Controller Development

Content Provider	IEEE Xplore Digital Library
Author	Aihua Wang Weizi Yang
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Purdue Univ., Indianapolis, IN (Aihua Wang)
Abstract	In this two-part paper presents an evolutionary fuzzy design method based energy management strategy for parallel hybrid electric vehicles. The proposed method consists of two steps. In the first phase, a fuzzy logic controller was employed to quantify the energy management system behavior. In the second stage, a genetic algorithm was used for fine-tuning the parameters of the fuzzy controller based on a goal of minimizing fuel consumption. We employed a novel method to cope with the difficulty often encountered in designing a fitness function. The simulation study reveals that the proposed "evolutionary fuzzy system" based energy management strategy provide a platform of new energy management system and gives improved performance of a parallel hybrid vehicle. In part I, the basic framework of energy management strategies is discussed and a detailed description of developing a fuzzy logic controller. The second stage work is presented in the second part of this paper
Starting Page	8324
Ending Page	8328
File Size	216810
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy management Fuzzy systems Fuzzy logic Control systems Medical services Hybrid electric vehicles Batteries Engines Fuzzy control Genetic algorithms hybrid electric vehicle Fuzzy rule base genetic algorithms energy management strategy
Content Type	Text
Resource Type	Article

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