Advanced Thermal Management System for Energy Storage System using Second-life Lithium-ion Batteries
Eligibility: UK/EU/International graduates with the required entry requirements
Funding details: Bursary plus tuition fees (UK/EU/International)
Duration: Full-time – between three and three and a half years fixed term
Application deadline: 8th June 2020
Interview dates: Will be confirmed to shortlisted candidates
Start date: September 2020
For queries contact Dr Chongming Wang
Electric vehicles (EVs) are the future of clean city transportation. Lithium-ion batteries (LIB) are essential components in EVs, and they cost about 50% of vehicles. LIBs have a narrow working temperature window (10-40°C). Thermal management of LIBs is essential to their performance, state of health, and more importantly, safety. LIBs age faster if without effective thermal management. Once the capacity of LIBs in EVs drops by 20%, LIBs reach the end of their life in the EV application. However, those retired LIBs from EVs can be used for other applications, for example, stationary energy storage systems.
The aim of this project is to develop an advanced thermal management system (TMS) for lithium-ion battery modules/packs that use second-life lithium-ion batteries from electric vehicles. For second-life batteries, thermal management is even more critical due to increased battery impedance; hence, more heat generation during operation. The optimization of TMS will be powered by artificial intelligence-based many-objective optimization genetic algorithms. The optimized design will have the benefit of low-energy consumption and prolonged battery longevity. The methodologies developed in this study can also be applied to develop thermal management systems for lithium-ion batteries in EVs.
Fully funded PhD studentship, which includes bursary plus tuition fees with additional allowances of £5,900, including:
- Consumables and maintenance: £3,000 (annually £1,000, three years)
- Conference and workshop: £2,900
Training and Development
The successful candidate will receive comprehensive research training including technical, personal and professional skills.
All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities.
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.
the potential to engage in innovative research and to complete the PhD within a 3.5 years
- a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component
- experience in at least one programming language, such as m language in MATLAB, C and C++;
- computational Fluid Dynamics modelling experience
- willing to work closely in a team and the ability to deliver research outcomes to meet deadlines
- willing to contribute to tutor fresh-year PhD candidates
How to apply
To find out more about the project please contact contact Dr Chongming Wang.
All applications require full supporting documentation, a covering letter, plus a 800-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.Apply to Coventry University