Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data

Juan D. Valladolid, Henry D. Montesdeoca, Michelle B. Ortiz, Juan P. Ortiz

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

1 Scopus citations

Abstract

This paper presents details of powertrain system modelling of an electric vehicle (EV), which is based on the permanent magnet synchronous motor (PMSM) mathematical models, the transmission and the longitudinal dynamic of the EV. The traction system parameters were estimated using the Nonlinear Minimum Square (NLS), algorithm and experimental data. Experiments and simulations were performed to verify the accuracy of the results and the effectiveness of the models. The system has been modeled and simulated by using the Matlab and Simulink platform.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages939-944
Number of pages6
ISBN (Electronic)9781728157542
ISBN (Print)9781728157542
DOIs
StatePublished - Feb 2020
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 26 Feb 202028 Feb 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2020-February

Conference

Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
CountryArgentina
CityBuenos Aires
Period26/02/2028/02/20

Keywords

  • Electric Vehicle
  • Mathematical model
  • Optimization algorithm
  • Parameter estimation
  • Permanent Magnet Synchronous Motor

Fingerprint Dive into the research topics of 'Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data'. Together they form a unique fingerprint.

Cite this