Comprehensive energy efficiency analysis of series hybrid electric vehicles with dual-phase-shift-controlled DC-DC converter
File(s)
Accepted version
Author(s)
Evangelou, Simos
Rehman-Shaikh, MA
Type
Journal Article
Abstract
By considering converter fundamental operating principles, the paper first derives a complete set of analytic expressions of theoverall power losses of a conventional Dual Active Bridge (DAB) bi-directional DC-DC converter under Dual Phase Shift (DPS)control. Expressions for conduction and switching losses in the electronic devices acting as the converter switches, and copperand core losses in the isolation transformer, are derived and accounted for in the DC-DC converter model. DPS control involvesmany more converter operating conditions, in comparison tothe more common single-phase-shift (SPS) control, which makes theanalytic power loss characterization of a DPS-controlled converter an arduous task. Subsequently and by employing thederivedanalytic converter power loss model with exemplary parameter values, the paper analyzes the efficiency of a high-fidelity fullhybrid electric vehicle (HEV) model that includes a DAB DC-DC converter, under a wide range of realistic driving conditions andconverter operation, including low- to high-speed driving, and converter DPS operation. Two popular hybrid powertrain energymanagement schemes, the Thermostat and Power Follower control strategies, are used to simulate the vehicle model to reinforcethe range of realistic vehicle operating conditions. The results show that in series HEV applications more accurate modeling ofDC-DC converter models than conventional constant efficiency models is required to predict converter losses, and also the fidelityin the characterization of converter losses can have a significant impact on the vehicle fuel consumption prediction.
Date Issued
2020-09-01
Date Acceptance
2020-05-02
Citation
Journal of the Franklin Institute, 2020, 357 (13), pp.8761-8799
ISSN
0016-0032
Publisher
Elsevier
Start Page
8761
End Page
8799
Journal / Book Title
Journal of the Franklin Institute
Volume
357
Issue
13
Copyright Statement
© 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical and Electronic Engineering
Publication Status
Published
Date Publish Online
2020-07-08