Looking to list your PhD opportunities? Log in here.
This project is no longer listed on FindAPhD.com and may not be available.
Click here to search FindAPhD.com for PhD studentship opportunitiesAbout the Project
Electric vehicles (EV) are drawing increasing attention nowadays. However, it must be admitted that the EV-related technologies are not mature at all. Propulsion system is the core part of an EV and safety of the propulsion system is closely related to the safety of the whole vehicle. In order to enhance the safety of the propulsion system, both the hardware and software of the EV drive should be reliable. Reliable system design techniques, fault/failure detection and handling techniques and crash-related techniques, etc., require to be studied in depth.
This PhD programme will open a new artificial intelligence (AI) application paradigm for high-safety and high-reliability propulsion systems for EVs. In the program, new safety improvement techniques for EV propulsion systems will be developed, which include sensor uncertainty detection and calibration, device gaining problems and solutions, fault detection and fault-tolerant control and crash safety improvement. It deserves to be mentioned that the AI technology will be integrated into the system.
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 https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.
Funding Notes

Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in York, United Kingdom
Check out our other PhDs in United Kingdom
Start a New search with our database of over 4,000 PhDs

PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Electric Vehicle Drivetrain Enhancement using Smart Sensing and In-Site Computing
University of York
Data mining techniques for road safety policy making
University of Birmingham
Novel Hybrid Thermal Management Systems for Electric Vehicle Lithium-Ion Batteries ( LANDINIS_U23SF)
University of East Anglia