AI Supported Electric Vehicle Safety Enhancement Techniques

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.