Exclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles

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Title: Exclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles
Authors: Shabbir, W
Evangelou, S
Item Type: Journal Article
Abstract: Supervisory control systems (SCSs) are used to manage the powertrain of hybrid electric vehicles (HEV). This paper presents a novel SCS called Exclusive operation strategy (XOS) that applies simple rules based on the idea that batteries are efficient at lower loads while engines and generators are efficient at higher loads. The XOS is developed based on insights gained from three conventional SCSs for series HEVs: Thermostat control strategy (TCS), Power follower control strategy (PFCS) and Global equivalent consumption minimization strategy (GECMS). Also, recent technological developments have been considered to make the XOS more suited to modern HEVs than conventional SCSs. The resulting control decisions are shown to emulate the operation of approximate global optimal solutions and thus achieve significant improvement in fuel economy as compared to TCS and PFCS. In addition, the generally linear relationship between required power and engine power for the XOS provides auditory cues to the driver that are comparable to conventional vehicles, thus reducing barriers to adopting HEVs. The simplicity and effectiveness of the XOS makes it a practical SCS.
Issue Date: 11-Feb-2016
Date of Acceptance: 26-Dec-2015
URI: http://hdl.handle.net/10044/1/28832
DOI: https://dx.doi.org/10.1109/TCST.2016.2520904
ISSN: 1558-0865
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Start Page: 2190
End Page: 2198
Journal / Book Title: IEEE Transactions on Control Systems Technology
Volume: 24
Issue: 6
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Automotive control
energy management
heuristic control
hybrid electric vehicle (HEV)
supervisory control
Industrial Engineering & Automation
0906 Electrical And Electronic Engineering
0102 Applied Mathematics
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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