DocumentCode :
136641
Title :
Virtual sensing solutions for electric drive trains
Author :
Ronghui Zhou ; Hongwu She ; Zhuohui Tan ; Xiangming Shen ; Tong Zhao
Author_Institution :
GE Global Res., Shanghai, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
4
Abstract :
The paper investigates the possible practical virtual sensing solutions for electric drive trains. Two types of solutions: virtual sensors for machine sensorless control and physical sensor on-board diagnostics are particularly addressed, which provide the advantages of system cost reduction and reliability enhancement. Various virtual sensor configurations with advanced control and signal processing techniques are studied and their performance are compared based on the state of the art survey and preliminary simulation. The opportunities and challenges for the application of these virtual sensor configurations in electrified transportation system are also discussed.
Keywords :
electric drives; power transmission (mechanical); sensorless machine control; signal processing; advanced control; electric drive trains; electrified transportation system; machine sensorless control; physical sensor on-board diagnostics; signal processing techniques; virtual sensing solutions; virtual sensor configurations; Estimation; Reliability; Rotors; Sensor systems; Sensorless control; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6940912
Filename :
6940912
Link To Document :
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