DigiTwins for Solar Battery Systems
PhD
Key facts
Start dates
January 2024
Application deadline
22 September 2023
Location
Course length
Full time: 3 years
Funding status
Funded
More details
Eligibility: UK, EU (settled and non-settled), International
Bursary p.a: £18,622
Fieldwork allowance: £4,000 per annum
Overview
The aim of this project is the development of digital twins for battery packs applied to solar-battery systems. Running in parallel with the physical/real counterpart, digital twins are a cost-effective proposition for sensing easy-to-access battery parameters and implementing advanced control strategies. Considering the delivery of the new state-of-the-art Engineering and Architecture buildings at the Headington site, this project aims to develop a digital twin framework for solar-battery systems applied to commercial buildings, able to optimise load profiles and minimise costs.
The two main objectives are:
- To acquire field data from the new building's battery system (considered the “real twin”). Measurements include voltage, current and temperature profiles.
- To develop hybrid models that combine the advantages of physical and data-driven models.
Additional details
The proposed research project is a collaboration between the HVES Group and the Architectural Engineering
Research Group. The student will work closely with both groups, interacting with key staff and spending an
induction period in the related laboratories.
How to apply
Entry requirements
A highly competent and capable candidate to submit their PhD thesis within 3 years. Expected to have at least an
upper second-class degree (or equivalent) and/or Masters in a related subject (e.g., engineering or computer
science). They should be able to demonstrate strong interdisciplinary research capabilities, be fluent in spoken
and written English. Evidence of completion of a dissertation within the field of battery testing, optimisation and
Machine Learning would be ideal.
The selection criteria will focus on academic excellence, suitability of research experience/skills, and subject
knowledge. A demonstrable interest in social innovation would be an advantage.
Application process
To apply for this studentship please see the submission instructions on our website:
When completing your application Online please note the following:
Title: DigiTwin for Solar Battery
Select the following course: MPhil/ PhD Engineering
Applications must be completed by 22/09/2023
Enquiries: Dominic Maitland: dmaitland@brookes.ac.uk
Tuition fees
Questions about fees?
Contact Student Finance on: