Application of fuzzy logic in multi-mode driving for a battery electric vehicle energy management

Tengku Mohd, Tengku Azman and Hassan, Mohd Khair and Aris, Ishak and C.S, Azura and K. K. Ibrahim, Babul Salam (2017) Application of fuzzy logic in multi-mode driving for a battery electric vehicle energy management. International Journal on Advanced Science Engineering Information Technology, 7 (1). pp. 284-290. ISSN 2088-5334

Text AJ 2017 (522).pdf Restricted to Registered users only Download (2MB) | Request a copy

Abstract

Energy management system is an area of emerging interest in a full electric vehicle research. With the increasing moves to a more sustainable vehicle, there is a need to extend the battery range that simultaneously satisfying the conflicting demand between battery capacity and vehicle weight or volume. This paper presents a research conducted in the Universiti Putra Malaysia, focusing on the energy management strategy of a battery-powered electric vehicle. Three vehicle driving modes; sport, comfort, and eco have been individually modelled. Each mode is capable to dominate different driving environments; highway, suburban, and urban. In European driving cycle simulation test, comfort and eco modes have shown large extension in driving range with the maximum of 7.33% and 19.70% respectively. However the speeds have been confined by certain specific limits. The proposed of integrated multimode driving using fuzzy logic has enabled an adaptive driving by automatically select the driving parameters based on the speed conditions. The results have proven its ability in reducing the energy consumption as much as 32.25%, and increasing the driving range of 4.21% without downgrading the speed performance.

Item Type:	Article
Uncontrolled Keywords:	Battery electric vehicle; Energy management; Fuzzy logic controller; Multi-mode driving
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions:	Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User:	Miss Nur Rasyidah Rosli
Date Deposited:	22 Nov 2021 06:28
Last Modified:	22 Nov 2021 06:28
URI:	http://eprints.uthm.edu.my/id/eprint/3889

Actions (login required)

View Item