Behavior of electric vehicles and traction drives during sensor faults

2012 ◽  
Author(s):  
Facundo Aguilera ◽  
Pablo M. de la Barrera ◽  
Cristian H. De Angelo
Keyword(s):  
Electric Vehicles ◽  
Sensor Faults ◽  
Traction Drives

scholarly journals Analytical and Experimental Evaluation of SiC-Inverter Nonlinearities for Traction Drives Used in Electric Vehicles

2018 ◽  
Vol 67 (1) ◽  
pp. 146-159 ◽  
Author(s):  
Xiaofeng Ding ◽  
Min Du ◽  
Chongwei Duan ◽  
Hong Guo ◽  
Rui Xiong ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Experimental Evaluation ◽  
Traction Drives

scholarly journals A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 962 ◽  
Author(s):  
Fernando Garramiola ◽  
Javier Poza ◽  
Patxi Madina ◽  
Jon del Olmo ◽  
Gaizka Ugalde
Keyword(s):  
Fault Diagnosis ◽  
Time Window ◽  
Sliding Mode ◽  
Fault Detection And Isolation ◽  
Fault Classification ◽  
Sensor Faults ◽  
Sensor Fault ◽  
Fault Reconstruction ◽  
Railway Traction ◽  
Traction Drives

Due to the importance of sensors in railway traction drives availability, sensor fault diagnosis has become a key point in order to move from preventive maintenance to condition-based maintenance. Most research works are limited to sensor fault detection and isolation, but only a few of them analyze the types of sensor faults, such as offset or gain, with the aim of reconfiguring the sensor in order to implement a fault tolerant system. This article is based on a fusion of model-based and data-driven techniques. First, an observer-based approach, using a Sliding Mode observer, is utilized for sensor fault reconstruction in real time. Then, once the fault is detected, a time window of sensor measurements and sensor fault reconstruction is sent to the remote maintenance center for fault evaluation. Finally, an offline processing is carried out to discriminate between gain and offset sensor faults, in order to get a maintenance decision-making to reconfigure the sensor during the next train stop. Fault classification is done by means of histograms and statistics. The technique here proposed is applied to the DC-link voltage sensor in a railway traction drive and is validated in a hardware-in-the-loop platform.

Characteristics Comparison of a Conventional and Modified Spoke-Type Ferrite Magnet Motor for Traction Drives of Low-Speed Electric Vehicles

2013 ◽  
Vol 49 (6) ◽  
pp. 2516-2523 ◽  
Author(s):  
Sung-Il Kim ◽  
Jinwoo Cho ◽  
Sunghyuk Park ◽  
Taesang Park ◽  
Seongtaek Lim
Keyword(s):  
Electric Vehicles ◽  
Low Speed ◽  
Traction Drives
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