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Electric Vehicle Drivetrain Enhancement using Smart Sensing and In-Site Computing

   School of Physics, Engineering and Technology

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  Dr Xing Zhao  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Electric vehicles are becoming increasingly popular around the world. The wide use of electric drivetrain composed of energy storage, power electronics and electric motors, brings new research challenges in terms of system reliability under harsh working conditions. Integrated smart microsystems will be an exciting solution for drivetrain condition monitoring and reliability enhancement. In this project, we will explore a synthetic method combining energy harvesting, microelectromechanical sensing, in-site computing and wireless communication, to implement a new breed of integrated smart microsystems for drivetrain enhancement in electric vehicles.

For more information about the PhD project, please contact Dr Xing Zhao, email: [Email Address Removed]

Academic entry requirements:

Candidates must have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics or a related subject.

How to Apply:

Applicants should apply via the University’s online application system at Please read the application guidance first so that you understand the various steps in the application process.

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website for details about funding opportunities at York.
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