DocumentCode :
2561514
Title :
Control strategies for parallel hybrid vehicles
Author :
Salman, M. ; Schouten, Niels J. ; Kheir, Naim A.
Author_Institution :
Gen. Motors Res. & Dev. Lab., USA
Volume :
1
Issue :
6
fYear :
2000
fDate :
36770
Firstpage :
524
Abstract :
Presents a fuzzy logic based energy management and control strategy for parallel hybrid vehicles. Using the driver commands, the state of charge of the battery, and the motor/generator speed, a set of fuzzy logic control rules has been developed, to effectively split the power between the two powerplants: electric motor and internal combustion engine. The underlying theme of the fuzzy rules is to optimize the operational efficiency of all components, considered as one system. Simulation results are used to assess the performance of the controller. A forward-looking hybrid vehicle simulation model is used to implement the control strategies. Potential fuel economy improvement has been shown by using fuzzy logic, relative to other strategies, which maximize only the efficiency of the internal combustion engine
Keywords :
electric vehicles; energy management systems; fuzzy control; internal combustion engines; permanent magnet motors; power control; road vehicles; velocity control; control strategies; driver commands; forward-looking hybrid vehicle simulation model; fuzzy logic based energy management and control strategy; operational efficiency; parallel hybrid vehicles; potential fuel economy improvement; Batteries; Electric motors; Energy management; Fuel economy; Fuzzy logic; Fuzzy systems; Internal combustion engines; Power generation; Power system modeling; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.878955
Filename :
878955
Link To Document :
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