Fuel consumption optimization for a power-split HEV via gain-scheduled model predictive control

Hitoshi Iyama, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a fuel consumption optimization technique for a power-split hybrid electric vehicle (HEV) via gain-scheduled model predictive control. The control algorithms for the hybrid powertrain choose the power split between the internal combustion engine and electric motor of the HEV in order to minimize the fuel consumption. The operating conditions of the HEV change during driving in real time by road conditions and driver demand. Therefore, it is necessary to have optimal control in real time and to consider the time-varying motor condition. We model an HEV and propose a gain-scheduled model predictive control for a power-split HEV. Using the proposed technique, the optimal fuel consumption for a power-split HEV is achieved. Finally, the proposed approach is validated by numerical simulations.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
PublisherSociety of Instrument and Control Engineers (SICE)
Pages468-473
Number of pages6
ISBN (Electronic)9784907764463
DOIs
Publication statusPublished - 2014 Oct 23
Event2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014 - Sapporo, Japan
Duration: 2014 Sep 92014 Sep 12

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014
CountryJapan
CitySapporo
Period14/9/914/9/12

Keywords

  • Gain-Scheduled Model Predictive Control
  • Hybrid Electric Vehicle
  • Optimal Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Fuel consumption optimization for a power-split HEV via gain-scheduled model predictive control'. Together they form a unique fingerprint.

  • Cite this

    Iyama, H., & Namerikawa, T. (2014). Fuel consumption optimization for a power-split HEV via gain-scheduled model predictive control. In Proceedings of the SICE Annual Conference (pp. 468-473). [6935205] (Proceedings of the SICE Annual Conference). Society of Instrument and Control Engineers (SICE). https://doi.org/10.1109/SICE.2014.6935205