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Introduction

Location

Headington

Course Length

Full time 3 years

Why choose this course?

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.

Modules

Entry Criteria

ENTRY REQUIRED DOCUMENTS
Home Office Share Code
For EU students only.

IF no Qualification
Please provide CV with at least 2 years of work experience, and employee reference letter.
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

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


Assessment

ASSESSMENT METHODS

1. INTERNAL ENGLISH TEST if you don't have an English accredited certificate
2. Academic Interview

Career Opportunities

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Get in Touch

Thanks for submitting!

CONTACT

+44 777 477 5759
+44 33 3303 4135

info@study4abetterfuture.uk
admissions@study4abetterfuture.uk

Hours

Monday - Friday:

09:00 am - 06:00 pm

Saturday - Sunday: Closed

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