Qualification Type: | PhD |
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Location: | Remote |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £19,237 |
Hours: | Full Time |
Placed On: | 12th April 2024 |
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Closes: | 11th July 2024 |
Funding Source: Industrial CASE (iCASE)
Sponsor Company: JLR
Start Date: October 2024
Course: MPhil/PhD
Project Page – Centre
Project Overview
Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. It's commonly used for eco-coaching by influencing driving behaviour for better fuel efficiency. However, the potential for leveraging route data to optimize energy consumption in Battery Electric Vehicles (BEVs) has been less explored. This project introduces an innovative approach to enhance BEV Thermal Management using route-specific data, incorporating factors like vehicle speed, V2X, traffic, and weather details.
This project aims to address the following challenges:
Essential and Desirable Student background Criteria
Funding and Eligibility
Industrial CASE (iCASE) funding is primarily for Home UK candidates but international candidates are also welcome.
Key Information
Funding Duration: 4 Years
Supervisors: Truong Dinh, Kaibo Li and Andrew McGordon
Eligibility: Home UK candidates but international candidates are also welcome
Industrial Supervisor: Rhys Comissiong
Research Group: Energy Applications Group
Subject Areas
Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. It's commonly used for eco-coaching by influencing driving behaviour for better fuel efficiency. However, the potential for leveraging route data to optimize energy consumption in Battery Electric Vehicles (BEVs) has been less explored. This project introduces an innovative approach to enhance BEV Thermal Management using route-specific data, incorporating factors like vehicle speed, V2X, traffic, and weather details.
This project aims to address the following challenges:
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