吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 340-347.doi: 10.13229/j.cnki.jdxbgxb201602002

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Parameter matching for plug-in hybrid electric vehicle based on cost optimization

WANG Qing-nian, WANG Guang-ping, WANG Peng-yu, HAN Biao, LI Feng   

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  • Received:2015-01-20 Online:2016-02-20 Published:2016-02-20

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Abstract: To meet the vehicle performance constraints, a design and analysis model of the powertrain of Plug-in Hybrid Electric Vehicle (PHEV) was proposed. In this model the manufacturing cost of the vehicle dynamic components and the annual usage cost were taken as the evaluation indices, and the car users' habits were classified. According to different design requirements of All-electric Range (AER), the powertrain performance parameters of PHEV were optimized. The results show that, compared with the original vehicle, the total annual optimization cost of the designed PHEV for different AER is reduced by 6.0% ~ 20.0%. The best optimization design requirement for AER is 40 km. Compared with other AER and the original vehicle, the annual optimization cost can be reduced by up to 24.9%.

Key words: vehicle engineering, plug-in hybrid electric vehicle(PHEV), powertrain, all-electric range(AER), parameter optimization

CLC Number: 

  • U469.7
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