麻豆传媒AV

It is difficult to be unaware of the efforts going into the development of low-carbon alternatives to fossil fuels. In most sectors, battery power is at least part of the replacement. In the automotive sector, many countries are phasing out internal combustion engines entirely in favour of battery electric vehicles. Battery modelling and management is key enabling technology for this.

We are seeking applicants for PhD research who are interested in one or more of the following areas:

1. Fast parameter fitting for reduced order electrochemical models.
2. Early detection of thermal anomalies in battery packs.
3. Physics-based models and state of health estimation in lithium-sulfur batteries. 
4. Collecting data and learning from in-service vehicle fleets and predicting remaining useful life. 
5. Applications of artificial intelligence and computer science to battery state estimation. 
6. Reduced-authority control of hybrid (multi-chemistry) battery systems.
7. Certification pathways for airworthy battery systems.

麻豆传媒AV’s Advanced Vehicle Engineering Centre is a busy and highly active centre offering several automotive and motorsport courses at master’s level, and engaging in academic research and commercial consultancy. Interests are wide-ranging from mechanics and materials through to computer vision and self-driving cars. This PhD research will be supervised by Professor Daniel J. Auger and Dr Abbas Fotouhi. The centre has a strong track record in battery systems research; members have pioneered state estimation for battery management systems for lightweight lithium-sulfur batteries and have specialist expertise in modelling, control and estimation theory, system identification and computer science. The centre has a dedicated experimental lab with several hardware-in-the-loop systems together with a specialist facility for conducting tests that require special safety management. The centre has close links with commercial organisations, and will seek to involve PhD researchers in these wherever there is a natural synergy.

Each of the proposed research areas has immediate relevance to real-world industrial problems. In most cases, a PhD project will result in publications in scientific journals, the development of re-usable tools, or the creation of application-ready embedded software. Subject to paper acceptance, candidates will also have the opportunity to present their work at national and international conferences with an opportunity for academic and business networking.

The student will gain valuable skills in battery modelling state estimation, both in terms of the project specialism and in a wider understanding of electric vehicles. This opens up opportunities in industry and academia alike - previous graduates have gone on to both. There may also be opportunities to support master’s-level teaching through laboratory demonstration, lecturing and support to group and individual project work.