To advance a green, clean, and affordable energy and environment era, it is imperative to develop a formal and reliable learning control framework as a paradigm shift of the advanced electric drive control strategy to deliver promising properties like higher efficiency, higher control bandwidth, lower current distortion, and lower device switching frequency for electric machines.
With these achievable performance specifications, this new control algorithm used in vehicle electric motors will significantly improve the energy conversion efficiency, and provide much higher power/torque density and smoother speed/current/torque regulation performance, which will substantially increase battery life, enable a wider range of driving scenarios and enhance user comfort and vehicle durability by reducing unwanted noise, vibration, and harshness (NVH) of electric vehicles.
The PhD student will develop and use this new design and synthesis framework to achieve many promising performance objectives of power electronics, and electric machines for electric vehicles including economic performance (e.g., the THD and the switching frequency), high control bandwidth, low computational burden, performance trustworthiness (e.g., stability, and qualitative robustness), and extended functionality (e.g., ability to handle state constraints, nonlinearities, and disturbances).
Primary supervisor: Jun Yang
Entry requirements for United Kingdom
Applicants should have or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering, Physics, Mathematics or a related subject. A relevant master’s degree and/or experience in one or more of the following will be an advantage: modelling of dynamic systems, programming (MATLAB, Python, C++ or similar).
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Find out more about research degree funding
How to apply
All applications should be made online and must include a research proposal. Under the programme name, select 'Aeronautical and Automotive Engineering'. Please quote the advertised reference number AACME-23-002 in your application.
To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.