DocumentCode :
2743723
Title :
Study on the Energy Management Strategy of DCT-Based Series-Parallel PHEV
Author :
Song, Zhang ; Guangqiang, Wu ; Songlin, Zheng
Author_Institution :
Sch. of Automobile, Tongji Univ., Shanghai, China
Volume :
1
fYear :
2010
fDate :
5-6 June 2010
Firstpage :
25
Lastpage :
29
Abstract :
Plug-in Hybrid Electric Vehicles (PHEV) are now regarded as one of the most promising ways to reduce automobile contributions to petroleum dependency, air pollution, and exhaust emissions. Energy management strategy plays a key role in PHEV. In this paper, the design prototype of the series-parallel hybrid electric vehicle with Dual Clutch Transmission (DCT) is proposed, and the dynamic performance of each component of PHEV is analyzed. For the development of control strategy and the evaluation of fuel economy, a forward simulation model of PHEV is established by SIMULINK, including the Internal Combustion Engine (ICE), Electric Machines (EM), and DCT et al. The energy management strategy developed in this paper includes the propelling control algorithm, which mainly explores the efficiency of ICE, and the braking control algorithm, which focus on the maximization of retrieving braking energy. Compared with the energy management strategy adopted by ADVISOR, the simulation results demonstrate that the energy management strategy designed in this paper can substantially improve the vehicle fuel economy.
Keywords :
air pollution control; clutches; energy management systems; hybrid electric vehicles; power transmission (mechanical); DCT; air pollution reduction; dual clutch transmission; electric machines; energy management strategy; exhaust emission reduction; internal combustion engine; plug-in hybrid electric vehicles; propelling control algorithm; series-parallel PHEV; vehicle fuel economy; Air pollution; Automobiles; Discrete cosine transforms; Energy management; Fuel economy; Hybrid electric vehicles; Ice; Petroleum; Prototypes; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
Type :
conf
DOI :
10.1109/CCIE.2010.14
Filename :
5491861
Link To Document :
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