Reliable EMF-sensor-fusion-based antilock braking system for BLDC motor in-wheel electric vehicles

Dadashnialehi, A, Bab-Hadiashar, A, Cao, Z and Hoseinnezhad, R 2017, 'Reliable EMF-sensor-fusion-based antilock braking system for BLDC motor in-wheel electric vehicles', IEEE Sensors Letters, vol. 2, no. 3, pp. 1-4.


Document type: Journal Article
Collection: Journal Articles

Title Reliable EMF-sensor-fusion-based antilock braking system for BLDC motor in-wheel electric vehicles
Author(s) Dadashnialehi, A
Bab-Hadiashar, A
Cao, Z
Hoseinnezhad, R
Year 2017
Journal name IEEE Sensors Letters
Volume number 2
Issue number 3
Start page 1
End page 4
Total pages 4
Publisher IEEE
Abstract Abstract-The design of current In-Wheel electric vehicles (EVs) is predominantly based on using brushless DC (BLDC) motors as the propulsion system of the vehicle. The In-Wheel design requires the juxtaposition of several powerful electromagnetic components that generate significant amount of electrical disturbances at each vehicle wheel, and subsequently demands robustness to externally induced faults for its associated antilock braking system (ABS). In this paper, a sensor-fusion-based wheel speed measurement system is proposed for ABS in brushless In-Wheel EVs. The objective is to exploit readily-available back EMF signals of the BLDC motor of an In-Wheel hub as speed sensors (referred to as "EMF-sensors" in this paper) to improve the reliability of the associated ABS. The proposed methodology is based on fusion of wheel speed estimates acquired from the ABS sensor with their counterparts acquired from the EMF-sensors using a variety of fusion operators such as exponential class of ordered weighted averaging. The proposed design was extensively tested using actual ABS hardware and motors. Our experimental results showed that the wheel speed measurement accuracy of the proposed system is up to 70 percent higher compared to that of conventional vehicles. In addition, the proposed method is robust to ABS sensor failures such as a short-circuit fault. The method was also compared with brushed DC motor In-Wheel EVs and experimental results showed significant improvements in accuracy and robustness.
Subject Signal Processing
DOI - identifier 10.1109/LSENS.2017.2705087
Copyright notice © 2016 IEEE
ISSN 2475-1472
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