Development of a High-Fidelity Series-Hybrid Electric Vehicle Model using a Mathematics-Based Approach University of Waterloo

Format:

Book

Conference/Event

Author/Creator:

Dao, Thank-Son, author.

Contributor:

McPhee, John

Seaman, Aden

Shigematsu, Koichi

Conference Name:

1st International Electric Vehicle Technology Conference (2011-05-17 : Yokohama, Japan)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Tokyo, JAPAN Society of Automotive Engineers of Japan 2011

Summary:

The recent increase in oil prices and environmental concerns have attracted various research efforts on hybrid electric vehicles (HEVs) which provide promising alternatives to conventional engine-powered vehicles with better fuel economy and fewer emissions. To speed up the design and prototyping processes of new HEVs, a method that automatically generates mathematics equations governing the vehicle system response in an optimized symbolic form is desirable. To achieve this goal, we employed MapleSimTM, a new physical modeling tool developed by Maplesoft Incorporated, to develop the multi-domain model of a series-HEV, utilizing the symbolic computing algorithms of Maple software package to generate an optimized set of governing equations. The HEV model consists of a mean-value internal combustion engine (ICE), a chemistry-based Ni-MH battery pack, and a multibody vehicle model. Simulations are then used to demonstrate the performance of the developed HEV system. Simulation results show that the model is viable and the number of governing equations is reduced significantly, resulting in a computationally efficient system

Notes:

Vendor supplied data

Publisher Number:

2011-39-7201

Access Restriction:

Restricted for use by site license