This paper presents a method to estimate the parameters of a longitudinal dynamic model using on-road testing of an electric vehicle. Data acquisition was undertaken on our test vehicle, a Toyota Rav4EV 2012, by collating signals from three different sources: Vehicle Measurement System (VMS) (consisting of wheel force, torque, wheel spin, wheel speed and position sensors), Global Positioning System (GPS) and the Controller Area Network (CAN) of the vehicle. A MATLAB/Simulink based non-linear least square parameter estimation algorithm was used to identify the vehicle parameters including the mass, location of center of gravity, frontal area, coefficient of drag, wheel inertia and road load parameters of the vehicle. A 14 degrees of freedom (DOF), longitudinal dynamics model of the Rav4EV was developed in the MapleSim software using the estimated parameters. The accuracy of the identified parameters and the model was validated by comparing the model output against the experimental data.
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ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 21–24, 2016
Charlotte, North Carolina, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5013-8
PROCEEDINGS PAPER
Parameter Identification for a Longitudinal Dynamics Model Based on Road Tests of an Electric Vehicle Available to Purchase
Mohit Batra,
Mohit Batra
University of Waterloo, Waterloo, ON, Canada
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John McPhee,
John McPhee
University of Waterloo, Waterloo, ON, Canada
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Nasser L. Azad
Nasser L. Azad
University of Waterloo, Waterloo, ON, Canada
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Mohit Batra
University of Waterloo, Waterloo, ON, Canada
John McPhee
University of Waterloo, Waterloo, ON, Canada
Nasser L. Azad
University of Waterloo, Waterloo, ON, Canada
Paper No:
DETC2016-59732, V003T01A026; 8 pages
Published Online:
December 5, 2016
Citation
Batra, M, McPhee, J, & Azad, NL. "Parameter Identification for a Longitudinal Dynamics Model Based on Road Tests of an Electric Vehicle." Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices. Charlotte, North Carolina, USA. August 21–24, 2016. V003T01A026. ASME. https://doi.org/10.1115/DETC2016-59732
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