Next-Gen Energy System for Lightweight EVs with Thermal, and Control Advances
Interview date: TBC
In recent years, the electric vehicle (EV) market has become highly competitive, and automakers are seeking ways to leverage innovation in EV energy systems. A key performance indicator of an EV — as an integrated energy system — is the efficiency of its thermal management system, which must be optimised across various driving modes and extreme weather conditions to maximise range and payload.
The project builds on a collaboration between the University of Lincoln and Watt Electric Vehicles, envisioning the development of a lightweight and energy-efficient thermal management system, addressing mechanical, electrical, and control aspects. In particular, this PhD study focuses on optimising system layout, improving control strategies, and enhancing the synergy between cooling and heating loops to maintain high efficiency with minimal impact on energy consumption and vehicle range.
The project is strongly based on model development, followed by experimental validation of the thermal loop, with the aim of achieving advancements in the EV thermal management system and associated control strategy. During the PhD project, the student will acquire a range of technical expertise, including fluid dynamics, thermal analysis, energy system integration, and control, as well as project management and problem-solving skills. Moreover, this project provides an opportunity to engage with the EV industry and a team of academics with a track record in energy system modelling and EV control systems.
We are looking for self-motivated candidates with strong problem-solving abilities, holding a minimum 2:1 bachelor’s degree (or international equivalent) in mechanical, chemical, or energy engineering, or a closely related discipline. Key requirements include:
- Strong modelling and simulation skills, with proficiency in relevant programming languages (MATLAB/Python)
- Hands-on experience with MATLAB Simulink, Simscape (or equivalent)
- Up-to-date knowledge of energy system modelling or control system design (one is essential, the other desirable)
- Familiarity with optimisation and data analysis
- Experience in experimental testing or prototype development (desirable)
To apply for this project, visit our Apply Now page.