Presentation
Parameter Estimation for Model Validation of an Energy Storage System During Operation in a Series Hybrid Electric Vehicle
ASME 2015 International Mechanical Engineering Congress and Exposition
(2015)
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.
Keywords
- Energy storage,
- Hybrid electric vehicles,
- Model validation,
- Parameter estimation
Disciplines
Publication Date
November 13, 2015
Location
Houston, Texas, USA
DOI
10.1115/IMECE2015-52613
Citation Information
Hasnaa Khalifi, Marc Compere and Patrick Currier. "Parameter Estimation for Model Validation of an Energy Storage System During Operation in a Series Hybrid Electric Vehicle" ASME 2015 International Mechanical Engineering Congress and Exposition (2015) Available at: http://works.bepress.com/marc_compere/5/