Applications are invited to undertake the PhD studentship to perform research on digital twin of electrical machine and drive system in Electrical Machines and Drives group, Department of Electronic and Electrical Engineering, The University of Sheffield.
In recent decades, to reduce emission and attenuate global warming, electrical machines and drives have been increasingly employed in various industrial applications, such as electric vehicles, electric aircraft, wind turbines, etc. However, compared to the conventional fuel-powered engines, the current market share of electrical machines is still marginal. By way of example, the world share of electric vehicles and hybrid electric vehicles in 2018 is only 2.2%, although the annual increase rate of their sales had maintained more than 40% since 2010. Therefore, the market for electrical machines and drives is still vast in the next few decades.
To cater for the increasing demands of electrical machines and drives from industry, this research will develop a digital twin of electrical machine and drive system to reduce excessive prototype and experimental efforts, shorten product development cycle, enable system-level optimisation, and also facilitate online monitoring and diagnostics. Multi-physics modelling and experimental validation of an electrical machine and drive system will be involved in this research.
Applicants should hold at least a first degree of 2:1 class (or equivalent) in electrical engineering, with project experience in electrical machines and drives. Finite element analysis experience of electromagnetic, thermal and structural aspects are also desirable.
3.5-year full scholarship (home tuition fee + £15,009 per year) can be provided upon successful application of this post. Non-home/EU students may apply but need to cover the tuition fee difference themselves. Self-funded students are also welcome.
For queries on this post, please contact Dr Xiao Chen (
[email protected]).
The studentship can start at the earliest opportunity.
