Author
Gözüküçük, Mehmet Ali, Uğurdağ, Hasan Fatih, Dedeköy, Mert, Çelik, Mert, Akdoğan, Taylan
Publication Date
2019
Publication Place
-
IEEE
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-605011275-7
Record ID
8cd94af3-7b5c-49e7-9a34-7269f31c7dc2
Library Location
Natural and Mathematical Sciences, Electrical & Electronics Engineering
Date
2019
Notes
TÜBİTAK
Sample Text
Energy management algorithms have a crucial role in electric vehicles due to their limited driving range. For an energy management algorithm to be effective, we should model the vehicle as accurately as possible. That is, not only the structure of the model should be accurate, but also the parameters of the model should be accurate. In this work, we take the model of an electric vehicle and tune three parameters in it based on trip data, namely, vehicle mass, air drag coefficient, and rolling resistance coefficient. We do this by using Least Squares method to set the initial guess and then by optimizing the parameters using Gradient Descent. To the best of our knowledge, this is the first work that simultaneously estimates these three parameters. Our work is also unique in the sense that it combines Least Squares and Gradient Descent.
DOI
10.23919/ELECO47770.2019.8990393
