Return to search

Modelling and control of a light-duty hybrid electric truck

This study is concentrated on modelling and developing the controller for the light-duty
hybrid electric truck. The hybrid electric vehicle has advantages in fuel economy.
However, there have been relatively few studies on commercial HEVs, whilst a
considerable number of studies on the hybrid electric system have been conducted in the
field of passenger cars. So the current status and the methodologies to develop the LD
hybrid electric truck model have been studied through the literature review.
The modelling process used in this study is divided into three major stages. The first
stage is to determine the structure of the hybrid electric truck and define the hardware.
The second is the component modelling using the AMESim simulation tool to develop a
forward facing model. In order to complete the component modelling, the information
and data were collected from various sources including references and ADVISOR. The
third stage is concerned with the controller which was written in Simulink. This was run
in a co-simulation with the AMESim vehicle model. Through the initial simulation, the
charge-sustaining performance of this controller was verified and improved.
Finally, the simulations for the complete model were carried out over a number of drive
cycles, such as CBDTRUCK, JE05, and TRL LGV drive cycle, to evaluate and analyse
the effect on the fuel economy and the vehicle performance by the engine operating
zone and the EM power capacity. The report presents a comparison of the fuel
efficiency of the conventional vehicle and the LD hybrid electric truck. The results
obtained by the simulation show the feasibility to build the complete vehicle with the
designed controller.

Identiferoai:union.ndltd.org:CRANFIELD1/oai:dspace.lib.cranfield.ac.uk:1826/4628
Date09 1900
CreatorsPark, Jong-Kyu
ContributorsVaughan, N. D.
PublisherCranfield University
Source SetsCRANFIELD1
LanguageEnglish
Detected LanguageEnglish
TypeThesis or dissertation, Masters by Research, MSc
Rights© Cranfield University, 2006. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.

Page generated in 0.0018 seconds