Dynamic modeling platform for series hybrid electric vehicles
File(s)paper.pdf (540.59 KB)
Accepted version
Author(s)
Evangelou, SA
Shabbir, W
Type
Conference Paper
Abstract
This paper introduces a simulation model that can be used to develop and test
designs and control systems for hybrid electric vehicles (HEVs). The work involves a novel
simulating platform, developed in Simulink, where each component of a series HEV is developed
using a first-principles approach in a modular fashion, validated by available experimental data
and then integrated to form a coupled nonlinear dynamic model. The vehicle model is capable to
act as a platform for the design of supervisory control systems (SCSs) that optimize the energy
flow in the powertrain. Simulations with two distinct SCSs and two driving cycles are used to
analyze the vehicle performance under varying driving and operating conditions. The results
demonstrate the applicability of the model for realistic prediction of both vehicle behavior and
component energy losses, design optimization and control system design.
designs and control systems for hybrid electric vehicles (HEVs). The work involves a novel
simulating platform, developed in Simulink, where each component of a series HEV is developed
using a first-principles approach in a modular fashion, validated by available experimental data
and then integrated to form a coupled nonlinear dynamic model. The vehicle model is capable to
act as a platform for the design of supervisory control systems (SCSs) that optimize the energy
flow in the powertrain. Simulations with two distinct SCSs and two driving cycles are used to
analyze the vehicle performance under varying driving and operating conditions. The results
demonstrate the applicability of the model for realistic prediction of both vehicle behavior and
component energy losses, design optimization and control system design.
Date Issued
2016-08-21
Date Acceptance
2016-02-17
Citation
IFAC papers online, 2016, 49 (11), pp.533-540
ISSN
1474-6670
Publisher
Elsevier
Start Page
533
End Page
540
Journal / Book Title
IFAC papers online
Volume
49
Issue
11
Copyright Statement
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Source
8th IFAC International Symposium on Advances in Automotive Control
Subjects
Modelling
hybrid electric vehicle
supervisory control
energy management
ULTRACAPACITORS
FLYWHEELS
BATTERIES
DESIGN
CELLS
Publication Status
Published
Start Date
2016-06-19
Finish Date
2016-06-23
Coverage Spatial
Kolmården Wildlife Resort, Norrköping, Sweden