Title :
Application of optimal control theory to the HEV dynamic process based control method
Author :
Ou Jiajie ; Li Lifu
Author_Institution :
Inst. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
The control method for the HEV propulsion system based on the dynamic process is proposed. The optimal control theory module and its application to DPCM are introduced. Based on the theoretical analysis, the simulation results including the HEV driving torque and power, power distribution for the multi-energy-source powertrain, fuel consumption and equivalent fuel consumption, SOC and discharge current of the storage battery are acquired, which help to prove the feasibility and validity of the DPCM advanced by this paper.
Keywords :
electric propulsion; hybrid electric vehicles; optimal control; power distribution; power transmission (mechanical); process control; DPCM; HEV driving torque; HEV dynamic process based control method; HEV propulsion system; SOC; discharge current; equivalent fuel consumption; multienergy-source powertrain; optimal control theory module; power distribution; storage battery; Computers; Hybrid electric vehicles; Optical reflection; Vehicle dynamics; energy control; hybrid electronic vehicle (HEV); optimal control theory; state-space equations; the quadratic objective function;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926556
