Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Jia Hu - , U.S. Department of Transportation (Author)
  • Yunli Shao - , University of Minnesota System (Author)
  • Zongxuan Sun - , University of Minnesota System (Author)
  • Meng Wang - , Delft University of Technology (Author)
  • Joe Bared - , U.S. Department of Transportation (Author)
  • Peter Huang - , U.S. Department of Transportation (Author)

Abstract

This research presents an integrated optimal controller to maximize the fuel efficiency of a Hybrid Electric Vehicle (HEV) traveling on rolling terrain. The controller optimizes both the vehicle acceleration and the hybrid powertrain operation. It takes advantage of the emerging Connected Vehicle (CV) technology and utilizes present and future information as optimization input, which includes road topography, and dynamic speed limit. The optimal control problem was solved using Pontryagin's Minimum Principle (PMP). Efforts were made to reduce the computational burden of the optimization process. The evaluation shows that the benefit of the proposed optimal controller is significant compared to regular HEV cruising at the speed limit on rolling terrain. The benefit ranges from 5.0% to 8.9% on mild slopes and from 15.7% to 16.9% on steep slopes. The variation is caused by the change of hilly road density.

Details

Original languageEnglish
Pages (from-to)228-244
Number of pages17
JournalTransportation Research Part C: Emerging Technologies
Volume68
Publication statusPublished - 1 Jul 2016
Peer-reviewedYes
Externally publishedYes

Keywords

Keywords

  • Connected vehicle, Eco-driving, Fuel efficiency, Hybrid vehicle, Powertrian and speed integrated control, Rolling terrains