Impact of battery sizing on stochastic optimal power management in plug-in hybrid electric vehicles

Scott J. Moura, Duncan S. Callaway, Hosam K. Fathy, Jeffrey L. Stein

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

30 Scopus citations

Abstract

This paper examines the impact of battery sizing on the performance and efficiency of power management algorithms in plug-in hybrid electric vehicles (PHEVs). Existing studies examine this impact for power management algorithms derived using either rule-based or deterministic dynamic programming methods. This paper extends the above investigations to power management algorithms optimized using stochastic dynamic programming (SDP). The paper treats both PHEV trip duration and PHEV power demand over the course of a given trip as stochastic. Furthermore, the paper examines two power management optimization objectives: one emphasizing fuel consumption only, and one that emphasizes the total cost of the blended use of fuel and electricity. The paper shows that blending provides significant benefits for small batteries, but this effect diminishes with increasing battery size.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2008
Pages96-102
Number of pages7
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2008 - Columbus, OH, United States
Duration: Sep 22 2008Sep 24 2008

Publication series

NameProceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2008

Other

Other2008 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2008
Country/TerritoryUnited States
CityColumbus, OH
Period9/22/089/24/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Transportation

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