Fuel efficiency optimization methodologies for series hybrid electric vehicles
File(s)268-40216-review.pdf (684.44 KB)
Accepted version
Author(s)
Chen, boli
Evangelou, SA
Lot, Roberto
Type
Conference Paper
Abstract
This paper provides an overview of various optimization formulations that can lead to improved fuel economy for a series hybrid electric vehicle (HEV). The relevance and improvement to the current state-of-the-art are discussed. The formulated optimal control problems (OCP) consist of two individual optimization challenges: vehicle speed optimization and powertrain power-split optimization. These OCPs can be merged leading to a practical and global problem, where all the aspects are optimized simultaneously for a prescribed route and traveling time. Alternatively, the global problem can be approximated by solving individual OCPs, one for each aspect, in steps and combined a posteriori. The optimal solutions in each case are investigated and compared by simulation examples to expose the trade-off between optimality of fuel economy achieved by global optimization and reduction in computational complexity and hence practicality of the two-step solution approximation.
Date Issued
2019-01-10
Date Acceptance
2018-06-05
Citation
2018 IEEE Vehicle Power and Propulsion Conference (VPPC), 2019
Publisher
IEEE
Journal / Book Title
2018 IEEE Vehicle Power and Propulsion Conference (VPPC)
Copyright Statement
© 2018 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.
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
515769103 (EP/N022262/1)
Source
2018 IEEE Vehicle Power and Propulsion Conference (VPPC)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Transportation Science & Technology
Engineering
Transportation
MANAGEMENT
Publication Status
Published
Start Date
2018-08-27
Finish Date
2018-08-30
Coverage Spatial
Chicago, IL, USA
Date Publish Online
2019-01-10