Smart procurement of naturally generated energy (SPONGE) for PHEVs

Yingqi Gu, Florian Häusler, Wynita Griggs, Emanuele Crisostomi, Robert Shorten

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

Abstract

In this paper, we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine management systems of a fleet of plug-in hybrid electric vehicle (PHEVs) to absorb oncoming energy in a smart manner. Cooperative algorithms are suggested to manage the energy absorption in an optimal manner for a fleet of vehicles, and the mobility simulator SUMO (Simulation of Urban MObility) is used to demonstrate the efficacy of the proposed idea.

Original languageEnglish
Pages (from-to)1467-1480
Number of pages14
JournalInternational Journal of Control
Volume89
Issue number7
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Consensus algorithms
  • plug-in hybrid electric vehicles (PHEVs)
  • renewable energy

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