DocumentCode
136553
Title
Modeling and simulation for electric vehicle powertrain controls
Author
Jian Zhou ; Xiangming Shen ; Dong Liu
Author_Institution
GE Global Res., Shanghai, China
fYear
2014
fDate
Aug. 31 2014-Sept. 3 2014
Firstpage
1
Lastpage
4
Abstract
This paper reviewed the main stream of commercial software for electric vehicle simulation and briefly discussed the advantage of physical modeling tool. A dynamic simulation model of electric vehicle (EV) was developed using Matlab/Simulink and SimPowerSystem/SimDriveline toolbox. The EV model has a configurable structure that is suitable to simulation with multiple fidelity levels. This advantage will combine simulation models associated with deployment and test for different controllers to a single platform. It has multiple running rates and different solvers for subsystems in order to speed up simulation. The electrical system model is capable to simulate power electronics behavior both on average and switching level. An automated mechanical transmission (AMT) model and its controller were developed for heavy duty application, such as a city bus. It can simulate drive train discontinuous behavior (e.g. clutch engage/disengage) and longitudinal vibration.
Keywords
electric vehicles; power electronics; power transmission (mechanical); AMT electrical system model controller; automated mechanical transmission model; commercial software; drive train discontinuous behavior; dynamic simulation model; electric vehicle powertrain control physical modeling tool; electric vehicle powertrain control simulation; electrical system heavy duty application; longitudinal vibration; power electronics behavior simulation; Batteries; Gears; Load modeling; Mathematical model; Software packages; Vehicle dynamics; Vehicles; Electric vehicle; multi-fidelity level simulation; physical modeling; power electronics model; transmission model;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location
Beijing
Print_ISBN
978-1-4799-4240-4
Type
conf
DOI
10.1109/ITEC-AP.2014.6940824
Filename
6940824
Link To Document