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

Jia Hu, Yunli Shao, Zongxuan Sun, Meng Wang, Joe Bared, Peter Huang

Research output: Contribution to journalArticle

38 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)228-244
Number of pages17
JournalTransportation Research Part C: Emerging Technologies
Volume68
DOIs
StatePublished - Jul 1 2016

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electric vehicle
speed limit
Hybrid vehicles
road
infrastructure
Controllers
communication
Communication
Hybrid powertrains
geography
efficiency
Topography
present
evaluation

Keywords

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

Cite this

Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication. / Hu, Jia; Shao, Yunli; Sun, Zongxuan; Wang, Meng; Bared, Joe; Huang, Peter.

In: Transportation Research Part C: Emerging Technologies, Vol. 68, 01.07.2016, p. 228-244.

Research output: Contribution to journalArticle

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