Hybrid electric vehicle two-step fuel efficiency optimization with decoupled energy management and speed control
File(s) TVT2019_twostepEM.pdf (1.5 MB)
Accepted version
Author(s)
Chen, Boli
Evangelou, Simos
Lot, Roberto
Type
Journal Article
Abstract
Hybrid electric vehicles (HEVs) offer an effective solution for emissions reduction and fuel energy savings. The pursuit of further improvements in their energy efficiency has led to the two fundamental optimization challenges of vehicle speed and powertrain energy management (EM), which are inherently coupled. This paper examines the vehicle speed and powertrain EM co-optimization problem for fuel economy for a series HEV following a prescribed route with expected traveling time. In order to overcome the computational burden of a large scale optimal control problem (OCP), this work presents a novel two-step optimal control strategy that suitably separates the co-optimization problem on the basis of involving the characteristics of the HEV powertrain power split and losses in the speed optimization step without an explicit use of a powertrain model. A benchmark method that simultaneously solves the optimal driving speed and the energy source power split is introduced, which is used to show the solution quality of the proposed approach. It is illustrated that the proposed method yields a driving speed solution close to the benchmark method, and additionally it outperforms the benchmark fuel economy, with much higher computational efficiency. The simplicity and effectiveness of the proposed two-step approach make it a practical and implementable EM control strategy.
Date Issued
2019-10-18
Date Acceptance
2019-10-14
Citation
IEEE Transactions on Vehicular Technology, 2019, 68 (12), pp.11492-11504
ISSN
0018-9545
Publisher
Institute of Electrical and Electronics Engineers
Start Page
11492
End Page
11504
Journal / Book Title
IEEE Transactions on Vehicular Technology
Volume
68
Issue
12
Copyright Statement
© 2019 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
Identifier
https://ieeexplore.ieee.org/document/8876645
Grant Number
515769103 (EP/N022262/1)
Subjects
09 Engineering
08 Information and Computing Sciences
10 Technology
Automobile Design & Engineering
Publication Status
Published
Date Publish Online
2019-10-18
