Design of Energy Management Strategy in Hybrid Electric Vehicles by Evolutionary Fuzzy System Part II: Tuning Fuzzy Controller by Genetic Algorithms

Aihua Wang Aihua Wang,Weizi Yang Weizi Yang

doi:10.1109/wcica.2006.1713600

Design of Energy Management Strategy in Hybrid Electric Vehicles by Evolutionary Fuzzy System Part II: Tuning Fuzzy Controller by Genetic Algorithms

Aihua Wang Aihua Wang, Weizi Yang Weizi Yang

https://doi.org/10.1109/wcica.2006.1713600

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Publication Date: Jan 1, 2006

Citations: 12

Affiliation: University of Indianapolis, University of Illinois Urbana-Champaign

#Fuzzy Based Energy Management Strategy #Design Of Energy Management Strategy + Show 8 more

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Abstract

This paper presents the second part of a two-part paper on development of an evolutionary fuzzy energy management strategy for parallel hybrid vehicles. In this part, we utilized Genetic Algorithms (GA) to optimize the parameters of the fuzzy controller. In addition, we employed a novel method to cope with the difficulties often encountered in designing a fitness function of GA. The simulation study reveals that the proposed evolutionary fuzzy based energy management strategy provide a platform of new energy management system and gives improved performance of a parallel hybrid vehicle.

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