DocumentCode :
1315236
Title :
Mechatronic design and control of hybrid electric vehicles
Author :
Baumann, Bernd M. ; Washington, Gregory ; Glenn, Bradley C. ; Rizzoni, Giorgio
Author_Institution :
Daimler-Chrysler Res. & Technol., Stuttgart, Germany
Volume :
5
Issue :
1
fYear :
2000
fDate :
3/1/2000 12:00:00 AM
Firstpage :
58
Lastpage :
72
Abstract :
The work in this paper presents techniques for design, development, and control of hybrid electric vehicles (HEV). Toward these ends, four issues are explored. First, the development of HEV is presented. This synopsis includes a novel definition of degree of hybridization for automotive vehicles. Second, a load-leveling vehicle operation strategy is developed. In order to accomplish the strategy, a fuzzy logic controller is proposed. Fuzzy logic control is chosen because of the need for a controller for a nonlinear, multidomain, and time-varying plant with multiple uncertainties. Third, a novel technique for system integration and component sizing is presented. Fourth, the system design and control strategy is both simulated and then implemented in an actual vehicle. The controller examined in this study increased the fuel economy of a conventional full-sized vehicle from 40 to 55.7 mi/h and increased the average efficiency over the Federal Urban Driving Schedule from 23% to 35.4%. The paper concludes with a discussion of the implications of intelligent control and mechatronic systems as they apply to automobiles
Keywords :
automobiles; control system synthesis; design engineering; electric vehicles; fuzzy control; intelligent control; mechatronics; nonlinear control systems; time-varying systems; uncertain systems; Federal Urban Driving Schedule; HEV; automobiles; automotive vehicles; fuzzy logic controller; hybrid electric vehicles; hybridization degree; intelligent control; load-leveling vehicle operation strategy; mechatronic control; mechatronic design; mechatronic systems; multiple uncertainties; nonlinear multidomain time-varying plant; Automobiles; Automotive engineering; Control system synthesis; Fuel economy; Fuzzy logic; Hybrid electric vehicles; Intelligent control; Mechatronics; Uncertainty; Vehicle driving;
fLanguage :
English
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
Publisher :
ieee
ISSN :
1083-4435
Type :
jour
DOI :
10.1109/3516.828590
Filename :
828590
Link To Document :
بازگشت