An improved intelligent model predictive controller for cooling system of electric vehicle

Yi Xie*, Zhaoming Liu, Kuining Li, Jiangyan Liu, Yangjun Zhang, Dan Dan, Cunxue Wu, Pingzhong Wang, Xiaobo Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

This paper establishes a dynamic thermal model for the Air Conditioning (AC)-cabin coupled system that includes the influences of vehicle speed and external environment on the heat exchange with the cabin. An Intelligent Model Predictive Control strategy (IMPC strategy) integrating the vehicle speed previewer and the self-adaptor of passenger's thermal comfort, is proposed and applied to the AC-cabin system. This strategy can predict both the car speed and the preferred predicted mean vote of passengers by learning the historical car speed and the passenger's comfort temperature. With their help, the IMPC has a more dynamic response of compressor speed to the car speed change and can automatically adjust cabin temperature, making it satisfy the thermal preference of the passenger with a little control error of PMV and cabin temperature. In aspect of energy conservation, the IMPC strategy saves more energy than the other control strategies researched in this paper. Its energy consumption is 4.32% less than the traditional MPC strategy, 40.4% less than the on-off controller, and 25.6% less than the PID controller. Moreover, the IMPC algorithm can keep the surface temperature of evaporator above 0 °C by setting the restricted condition in the MPC strategy, which can avoid the frosting on the evaporator wall and make the AC system work efficiently.

Original languageEnglish
Article number116084
JournalApplied Thermal Engineering
Volume182
DOIs
Publication statusPublished - 5 Jan 2021
Externally publishedYes

Keywords

  • Air conditioning system
  • Cabin temperature
  • Energy conservation
  • Intelligent model predict control
  • Suppression of evaporator frosting
  • Thermal comfort of passenger

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