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Optimisation of Placement of Charging Stations for Electrical Vehicles in Road Networks


Project Description

The aim of this project is to develop novel modelling and algorithmic solutions for the optimisation problem by drawing from existing research in the fields of optimisation and network theory.

Background
Due to the ever increasing concern about the environment, the resulting policies and advances in technology, zero and low emission electrical and hybrid vehicles have become much more important and popular.

Despite the advantages of electrical vehicles, their relatively limited cruising range (in comparison to traditional diesel/petrol vehicles) and significant battery loading time provide major challenges for their usage.

As a result, in order for electrical vehicles to be viable, it is necessary to have a sufficient number of charging stations effectively distributed throughout a road network. Given a particular road network layout, determining optimal locations and capacities for these charging stations is a challenging multi-objective optimisation problem with many constraints.

One of the key objectives is to minimise travel time by requiring detours necessary for battery recharging to be as short as possible.

On the other hand, constraints require the number of charging stations to be reasonably small, the distance between neighbouring stations must not exceed the cruising range of electrical vehicles, and capacities of the charging stations should be sufficient enough to avoid bottlenecks.

Project aims and methods
We will examine new mathematical models for the problem and subsequently develop methodologies to provide efficient and effective algorithmic solutions for the mathematical models.

The models are going to be based on different kinds of the facility location problem formulations for networks and graphs, taking into consideration particular types of constraints and objectives appearing in navigation of electrical vehicles.

We hypothesise that this will result in better solutions relative to existing published work especially with regard to scaling more effectively to larger road networks and to deciding on station capacities.

This is a joint project with the School of Computer Science and Informatics, based predominantly in Computer Science and you will be jointly supervised by Dr Padraig Corcoran

Funding Notes

UK Research Council eligibility conditions apply.
Full awards (fees plus maintenance stipend) are open to UK Nationals and EU students who can satisfy UK residency requirements. To be eligible for the full award, EU Nationals must have been in the UK for at least three years prior to the start of the course for which they are seeking funding, including for the purposes of full-time education.

References

Applicants should submit an application for postgraduate study via the online application service for October 2019.

In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. In the funding section, please select "I will be applying for a scholarship / grant" and specify that you are applying for advertised funding from EPSRC DTP.

If are applying for more than one Cardiff University project please note this in the research proposal section.

How good is research at Cardiff University in Mathematical Sciences?

FTE Category A staff submitted: 24.05

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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