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  Dr W Midgley, Dr P Fleming  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The Wolfson School of Mechanical, Electrical and Manufacturing Engineering has seen 100% of its research impact rated as ‘world leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021).

In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Find out more.

About the project

Heavy goods vehicles (HGVs) are responsible for around 17% of the UK's carbon dioxide emissions. Electrification is an excellent way to decarbonise (reduce the carbon dioxide emissions of) these vehicles. However, electrifying entire highway routes will prove difficult and costly, meaning that these HGVs will have to rely on battery power for at least some of their journey.

This project will investigate methods for controlling an electric/battery HGV to maximise the vehicle's range while also maximising the vehicle's battery life. It will use nonlinear optimisation and machine learning tools to determine the optimal placement for overhead electric wires, to reduce costs and maximise efficiency.

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent international qualifications) in engineering or a related subject. A relevant master’s degree and/or experience in advanced control techniques such as adaptive, robust or model predictive control would be an advantage

Start date:

January 2022, April 2022

Full-time/part-time availability:

Full-time (3 years

Computer Science (8) Engineering (12)

Funding Notes

Band RB (UK: £4,500; international: £24,100)

Where will I study?

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