Control strategy optimization for hybrid electric vehicle based on DIRECT algorithm

Zhang Yarning*, Sun Fengchun, He Hongwen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

A new method based on DIRECT algorithm was presented for parametric optimization of control strategy for hybrid electric vehicles. A logic threshold control strategy (LTCS) implemented in an existing hybrid vehicle was considered. A set of parameters was adopted in the LTCS to command the operation of the vehicle. The optimal adjustment of these parameters was formulated as a constrained nonlinear programming problem with an objective function minimizing fuel consumption. A DIRECT algorithm was proposed and applied to find the optimal set of parameters. Simulation results demonstrate effectiveness of the proposed method which can be used for off-line parametric optimization and thus shorten the time of controller calibration in the real vehicle.

Original languageEnglish
Title of host publication2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
DOIs
Publication statusPublished - 2008
Event2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008 - Harbin, China
Duration: 3 Sept 20085 Sept 2008

Publication series

Name2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008

Conference

Conference2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
Country/TerritoryChina
CityHarbin
Period3/09/085/09/08

Keywords

  • Control strategy
  • Dividing rectangle (DIRECT) algorithm
  • Hybrid electric vehicle (HEV)
  • Optimization

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