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Electric machine condition monitoring and control techniques are being widely investigated for electric vehicle applications, which are essential to ensure high performance, efficiency, and reliability in electric traction drive system. However, the testing and validation of these techniques are challenging and have not received enough attention. Thus, the research project aims to propose new testing methodologies for validation of electric machine condition monitoring and control techniques to fill this knowledge gap in electric machine field. The proposed research project is original and innovative. Potential research outcomes will be utilized by partner organization to validate their electric machine control and monitoring techniques and further enhance the system efficiency and reliability of their electric traction drive products.
Chunyan Lai
Magna
Engineering
Energy and Utilities; Automotive; Technology
Concordia University
Accelerate
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