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Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy

Hybrid electric vehicle (HEV) provides drivers with uncompromised drivability while significantly reducing hazardous emissions. This is achieved through optimal power flow solution via energy management strategy (EMS) which efficiently handles energy distribution from the different energy sources of...

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Main Authors: Mohd. Sabri, Mohamad Faizrizwan, Danapalasingam, Kumeresan A., Rahmat, Mohd Fua’ad
Format: Article
Published: Springer Nature Switzerland AG 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/85253/
http://dx.doi.org/10.1007/s40815-018-0521-4
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spelling my.utm.852532020-03-17T08:01:53Z http://eprints.utm.my/id/eprint/85253/ Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy Mohd. Sabri, Mohamad Faizrizwan Danapalasingam, Kumeresan A. Rahmat, Mohd Fua’ad TK Electrical engineering. Electronics Nuclear engineering Hybrid electric vehicle (HEV) provides drivers with uncompromised drivability while significantly reducing hazardous emissions. This is achieved through optimal power flow solution via energy management strategy (EMS) which efficiently handles energy distribution from the different energy sources of a HEV. In this paper, a through-the-road (TtR) HEV configuration with fuzzy logic-based EMS is proposed. Fuzzy logic is applied in the main control block of the vehicle with a pair of membership functions assisting the power flow controller to select the appropriate power distribution by the hybrid drivetrain based on available resources in real time. The EMS operates in hybrid mode blended control strategy to achieve minimum fuel consumption for the desired trip by prioritising the electrical drivetrain over the internal combustion engine (ICE) for power distribution to the wheels. A Simulink model was constructed in MATLAB® to represent the TtR HEV equipped with in-wheel motors (IWM) in the rear wheels. A fuzzy logic-based EMS controller has been synthesised. The power flow in the TtR HEV is decided based on current vehicle speed and the global discharge rate (GDR) value derived from the current state-of-charge (SOC) of the battery and remaining trip distance. The proposed controller performs well on standard drive cycles and offers up to 62% improvement in fuel consumption compared to the reference model which uses rule-based EMS. Comparisons against other published models are equally encouraging, especially on high average speed drive cycles with up to 19.8% improvements in fuel consumption. Springer Nature Switzerland AG 2018-07 Article PeerReviewed Mohd. Sabri, Mohamad Faizrizwan and Danapalasingam, Kumeresan A. and Rahmat, Mohd Fua’ad (2018) Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy. International Journal of Fuzzy Systems, 20 (8). pp. 2677-2692. ISSN 1562-2479 http://dx.doi.org/10.1007/s40815-018-0521-4 DOI:10.1007/s40815-018-0521-4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd. Sabri, Mohamad Faizrizwan
Danapalasingam, Kumeresan A.
Rahmat, Mohd Fua’ad
Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
description Hybrid electric vehicle (HEV) provides drivers with uncompromised drivability while significantly reducing hazardous emissions. This is achieved through optimal power flow solution via energy management strategy (EMS) which efficiently handles energy distribution from the different energy sources of a HEV. In this paper, a through-the-road (TtR) HEV configuration with fuzzy logic-based EMS is proposed. Fuzzy logic is applied in the main control block of the vehicle with a pair of membership functions assisting the power flow controller to select the appropriate power distribution by the hybrid drivetrain based on available resources in real time. The EMS operates in hybrid mode blended control strategy to achieve minimum fuel consumption for the desired trip by prioritising the electrical drivetrain over the internal combustion engine (ICE) for power distribution to the wheels. A Simulink model was constructed in MATLAB® to represent the TtR HEV equipped with in-wheel motors (IWM) in the rear wheels. A fuzzy logic-based EMS controller has been synthesised. The power flow in the TtR HEV is decided based on current vehicle speed and the global discharge rate (GDR) value derived from the current state-of-charge (SOC) of the battery and remaining trip distance. The proposed controller performs well on standard drive cycles and offers up to 62% improvement in fuel consumption compared to the reference model which uses rule-based EMS. Comparisons against other published models are equally encouraging, especially on high average speed drive cycles with up to 19.8% improvements in fuel consumption.
format Article
author Mohd. Sabri, Mohamad Faizrizwan
Danapalasingam, Kumeresan A.
Rahmat, Mohd Fua’ad
author_facet Mohd. Sabri, Mohamad Faizrizwan
Danapalasingam, Kumeresan A.
Rahmat, Mohd Fua’ad
author_sort Mohd. Sabri, Mohamad Faizrizwan
title Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
title_short Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
title_full Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
title_fullStr Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
title_full_unstemmed Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
title_sort improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy
publisher Springer Nature Switzerland AG
publishDate 2018
url http://eprints.utm.my/id/eprint/85253/
http://dx.doi.org/10.1007/s40815-018-0521-4
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score 13.211869

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