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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Jia Hu - , U.S. Department of Transportation (Autor:in)
  • Yunli Shao - , University of Minnesota System (Autor:in)
  • Zongxuan Sun - , University of Minnesota System (Autor:in)
  • Meng Wang - , Technische Universität Delft (Autor:in)
  • Joe Bared - , U.S. Department of Transportation (Autor:in)
  • Peter Huang - , U.S. Department of Transportation (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)228-244
Seitenumfang17
FachzeitschriftTransportation Research Part C: Emerging Technologies
Jahrgang68
PublikationsstatusVeröffentlicht - 1 Juli 2016
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

ORCID /0000-0001-6555-5558/work/171064758

Schlagworte

Schlagwörter

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