Parameter Estimation of Electric Vehicles for Improved Range Prediction

Saglam B., BOSTANCI E., GÖL M.

11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, Espoo, Finland, 18 - 21 October 2021 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/isgteurope52324.2021.9640048
  • City: Espoo
  • Country: Finland
  • Keywords: parameter estimation, electric vehicle, power consumption, state estimation, powertrain model
  • Middle East Technical University Affiliated: Yes


© 2021 IEEE.In order to improve performance of range estimation of electric vehicles, parameters that affect energy consumption should be determined accurately. This paper presents a parameter estimation methodology for electric vehicles based on least squares method. In this study, the power and angular velocity of wheels are measured from the vehicle directly. In addition to those, the directional velocity data is extracted from the GPS signal, in order to avoid the parameter dependency between the angular velocity and directional velocity. The proposed estimation process is validated by means of a drivetrain simulator, which calculates the power consumption of different types of vehicles.