Error and drift attenuation for wheel slip measurement of a prototype electric vehicle

Author

Szocs, D. ; Pana, Teodor ; Fenesan, A. ; Vese, I.

Author_Institution

Dept. of Electr. Machines & Drives, Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2012

fDate

25-27 Oct. 2012

Firstpage

64

Lastpage

69

Abstract

Smartphone three-axis acceleration sensors mounted on an electric vehicle experimental module in conjunction with motor wheel encoders are used to measure wheel slip. Kalman filter is used to correct noise from sensor data. Integration of sensor data has a drift effect for the calculated vehicle speed. A Linear Fit method is evaluated for drift removal. A traction control method is proposed and simulated.

Keywords

Kalman filters; acceleration measurement; electric vehicles; integration; sensors; slip (asynchronous machines); traction; wheels; Kalman filter; drift attenuation; error attenuation; linear fit method; motor wheel encoders; prototype electric vehicle; sensor data; smartphone three-axis acceleration sensor; traction control method; wheel slip measurement; Acceleration; DC motors; Electric vehicles; Sensors; Traction motors; Wheels; Kalman; accelerometer; drif; wheel slip;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on

Conference_Location

Iasi

Print_ISBN

978-1-4673-1173-1

Type

conf

DOI

10.1109/ICEPE.2012.6463950

Filename

6463950