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

fYear

2014

fDate

22-24 Aug. 2014

Firstpage

718

Lastpage

722

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2014 9th International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4799-2949-8

Type

conf

DOI

10.1109/ICCSE.2014.6926556

Filename

6926556