UTHM Institutional Repository

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

T. Mohd, T. A. and Hassan, M. K. and Aris, Ishak and C. S., Azura and K. K. Ibrahim, B. S. (2017) Application of fuzzy logic in multi-mode driving for a battery electric vehicle energy management. International Journal on Advanced Science, Engineering and Information Technology, 7 (1). pp. 284-290. ISSN 20885334

Full text not available from this repository.

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 > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 18 Feb 2019 06:54
Last Modified: 18 Feb 2019 06:54
URI: http://eprints.uthm.edu.my/id/eprint/10611
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item