Parameter Estimation for Model Validation of an Energy Storage System During Operation in a Series Hybrid Electric Vehicle

Hasnaa Khalifi, Marc Compere, Patrick Currier

Research output: Contribution to conferencePresentation

Abstract

Battery models can be developed from first principles or from empirical methods. Simulink Parameter Estimation toolbox was used to identify the battery parameters and validate the battery model with test data. Experimental data was obtained by discharging the battery of a modified 2013 Chevrolet Malibu hybrid electric vehicle. The resulting battery model provided accurate simulation results over the validation data. For the constant current discharge, the mean squared error between measured and simulated data was 0.26 volts for the 298V terminal voltage, and 6.07E−4 (%) for state of charge. For the extended variable current discharge, the mean squared error between measured and simulated data was 0.21 volts for terminal voltage and 9.25E−4 (%) for state of charge.
Original languageAmerican English
DOIs
StatePublished - Nov 13 2015
Externally publishedYes
EventASME 2015 International Mechanical Engineering Congress and Exposition - Houston, Texas, USA
Duration: Nov 13 2015 → …

Conference

ConferenceASME 2015 International Mechanical Engineering Congress and Exposition
Period11/13/15 → …

Keywords

  • Energy storage
  • Hybrid electric vehicles
  • Model validation
  • Parameter estimation

Disciplines

  • Automotive Engineering
  • Mechanical Engineering
  • Energy Systems

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