DocumentCode :
1812656
Title :
Intelligent sensorless ABS for regenerative brakes
Author :
Dadashnialehi, Amir ; Cao, Zhenwei ; Kapoor, Ajay ; Bab-Hadiashar, Alireza
Author_Institution :
Fac. of Eng. & Ind. Sci., Swinburne Univ. of Technol., Hawthorn, VIC, Australia
fYear :
2012
fDate :
4-8 March 2012
Firstpage :
1
Lastpage :
5
Abstract :
The emergence of In-Wheel technology and the fact that an electric machine is embedded in each corner of an Electric Vehicle (EV) has profound effect on vehicle design. An electric motor is now available at each wheel and we show that the output of those motors can be used to eliminate the wheel speed sensor of a conventional ABS design. The paper analyses the transient behavior of the back EMF signal of the In-Wheel motor for a range of challenging braking scenarios using the wavelet technique. The analysis showed that the proposed method is capable of extracting important features related to changes in road conditions during the activation of ABS.
Keywords :
brakes; electric motors; electric potential; electric vehicles; feature extraction; regenerative braking; road vehicles; wavelet transforms; antilock braking system; back EMF signal; electric machine; electric motor; electric vehicle; feature extraction; in-wheel motor; intelligent sensorless ABS; regenerative brakes; road conditions; vehicle design; wavelet technique; Discrete wavelet transforms; Friction; Mathematical model; Noise; Roads; Vehicles; Wheels; Antilock braking system (ABS); discrete wavelet transform (DWT); electric vehicle; regenerative braking; road identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Vehicle Conference (IEVC), 2012 IEEE International
Conference_Location :
Greenville, SC
Print_ISBN :
978-1-4673-1562-3
Type :
conf
DOI :
10.1109/IEVC.2012.6183169
Filename :
6183169
Link To Document :
بازگشت