EV charging control: investigating the effect of electric vehicles charging network to power grid and proposing a control policy for future EV charging systems

This project is to investigate the effect of EVs (electric vehicles) charging network to power grid, to investigate if the battery characteristic can be exploited to help stabilising the grid, and to propose a control policy for future EV charging systems. The research will define a control framework for the EV charging control strategy, demonstrating the proposal via simulations and experiments. A part of the research will also cover the development of hardware system used for real-time simulation and experiments of the proposed system.

This post represents an exciting opportunity for an ambitious graduate to become part of a new cohort of exceptional researchers in a unique partnership between academia and business as part of Keele University’s Smart Energy Network Demonstrator (SEND) project.

Under the supervision of an academic project lead, you will undertake a programme of collaborative research, development and innovation (RD&I) which will underpin the development of a new product, process or service, working collaboratively with a Stoke-on-Trent and Staffordshire business, Add2 Ltd. In addition, the post-holder will be eligible to submit the work undertaken as the basis for a body of work to be examined for consideration of the award of a PhD from Keele University.

This opportunity is advertised on http://www.keele.ac.uk/vacancies. This is also the link for applications. Applications will only be accepted on the application form on the Keele University vacancies site.
Please ensure you read the full details of the SEND Graduate Researcher vacancy.
SEND Graduate Researcher in Data Stream Analytics for IOT Applications (Job Reference: KU00000680).