吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1276-1286.doi: 10.13229/j.cnki.jdxbgxb201604038

• Orginal Article • Previous Articles     Next Articles

Simulation analysis on real-time optimal control strategy for hybrid electric vehicle

XIA Chao-ying, DU Zhi-ming   

  1. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
  • Received:2015-03-10 Online:2016-07-20 Published:2016-07-20

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Abstract: A quadratic real-time optimal control strategy is proposed in accordance with the decoupling characteristics between engine operating point and drive cycle in Hybrid Electric Vehicle (HEV) using Continuous Variable Transmission (CVT). By smoothing the engine operating curve, the strategy minimizes fuel consumption indirectly while the output of the drive system could track the given trajectory. Based on the second development of ADVISOR software, the simulation model is established for real-time optimal control system. Simulation results show that the proposed strategy not only leads to good driving performance of the vehicle with, but also reduces fuel consumption and emission significantly without and priori knowledge of the drive cycle. Compared with the global optimal control strategy based on Pontryagin's Minimum Principle (PMP) under eight types of drive cycle, the difference of fuel consumption is only about 1.05%~4.82%.

Key words: automatic control technology, parallel hybrid electric vehicle(HEV), real-time control strategy, quadratic optimal control

CLC Number: 

  • TP273
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