Title :
Adaptive powerplant control using extremum seeking algorithm for hybrid electric vehicle
Author_Institution :
Honda R&D Co., Ltd., Tochigi, Japan
Abstract :
The traffic condition varies with the commuting route of each driver. The traffic condition when he goes to his office is different from that when he goes back home too. If the powerplant control of HEV can be adjusted according to the traffic condition of each driver, the fuel economy performance of HEV can be improved. Consequently, this research designed the powerplant control using an extremum seeking algorithm.
Keywords :
hybrid electric vehicles; telecommunication traffic; adaptive powerplant control; commuting route; extremum seeking algorithm; hybrid electric vehicle; traffic condition varies; Energy management; Engines; Fuel economy; Hybrid electric vehicles; Optimization; Adaptive control; Automotive control; Extremum seeking algorithm; Hybrid electric vehicle;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
