DocumentCode :
3359913
Title :
Smooth Mode-Switch Control for the Powertrain of Parallel Hybrid Electric Vehicle
Author :
Du, Changqing ; Yan, Fuwu ; Cao, Zhengce ; Wu, Sen
Author_Institution :
Sch. of automotive, Wuhan Univ. of Technol., Wuhan
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
Abstract :
The coordinated control of internal combustion engine and electric machine is vital to improve driveability and reliability of Parallel hybrid electric vehicle (PHEV). This paper address to the mode-switch problem for powertrain of PHEV, construct a model-based rapid control prototype as a controller by MATLAB/SIMULINK software and dSPACE system for mode-switch control, come up with a mode-switch control strategy which employ the quick transient response of electric machine to compensate the deficiency of transient torque performance of internal combustion engine. Aiming at the general characters of mode-switch, a experiment schedule was implemented on the PHEV test bench, Comparing to the control method by estimating the engine toque with steady torque map, the experiment result show that the control strategy proposed in this paper can reduce the torque and speed fluctuation significantly during the course of mode switching in PHEV
Keywords :
control engineering computing; hybrid electric vehicles; internal combustion engines; machine control; power transmission (mechanical); reliability; transient response; MATLAB/SIMULINK software; dSPACE system; electric machine; engine toque; internal combustion engine; model-based rapid control prototype; parallel hybrid electric vehicle; powertrain; smooth mode-switch control; transient response; Electric machines; Hybrid electric vehicles; Internal combustion engines; MATLAB; Mathematical model; Mechanical power transmission; Power system modeling; Power system reliability; Software prototyping; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918773
Filename :
4918773
Link To Document :
بازگشت