Optimization of logic threshold control strategy of plug-in hybrid electric vehicles based on optimal control algorithm

Chao Sun, Hong Wen He*, Feng Chun Sun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In order to improve the control stability and fuel economy of plug-in hybrid electric vehicle (PHEV), a powertrain control model was established. Threshold configuration issues of logic threshold control method were focused on and the accelerator pedal analyzing method and the vehicle energy control strategy of PHEV were optimized by Cruise/Simulink co-simulation in this paper. Values of the logic threshold were constantly updated and optimized according to different driving conditions to ensure that the engine could work at maximum fuel efficiency range. Further optimization of the control model was realized to improve the algorithm executing efficiency and the control stability through applying minimum principle in optimal control algorithm. Experimental data of vehicle dynamics tests shows that the optimized control strategy can improve the fuel economy effectively, while ensuring a good power performance, which can provide a good basis for further studies on PHEV.

Original languageEnglish
Pages (from-to)84-92
Number of pages9
JournalJournal of Beijing Institute of Technology (English Edition)
Volume20
Issue numberSUPPL.2
Publication statusPublished - Dec 2011

Keywords

  • Accelerator pedal analysis
  • Cruise/Simulink co-simulation
  • Logic threshold control
  • Optimal control algorithm
  • Plug-in hybrid electric vehicle

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