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Intelligent BMS for large cell format lithium ion battery storage systems in electronic vehicles

Future student scholarship

Scholarship details

Study levels

Research

Student type

Future students

Study area

Engineering, Information technology and Science and mathematics

What you'll receive

We're offering two fully-funded Master of Philosophy (MPhil) programs to electrical or computer systems engineering students to focus on developing next generation batter management systems for the automotive sector.

This project is a collaboration between QUT and FELINE Pty. Ltd. who specialise in advanced battery technology and development. If you're successful, you'll spend part of your candidature at FELINE's Gold Coast offices. You'll also receive:

  • a living allowance for two years, indexed annually ($27,596).
  • an allocation for domestic and international travel, and significant research expenses and travel allowance relating to the project.

Eligibility

You must:

  • meet the admission criteria for a Master of Philosophy
  • apply for and be accepted into a Master of Philosophy
  • be a new and commencing student
  • hold or completing a degree by July 2019 in electrical or computer systems engineering and preferably experience with embedded systems
  • a graduating GPA of 5.5 or above
  • be able to start in July or as soon after this date as possible.

How to apply

Please contact Dr David Holmes for further information on how to apply.

About the scholarship

This Project will develop intelligent lithium ion (Li-ion) battery monitoring and control systems as they apply to automotive applications. Battery technology is a key contributor to the higher costs of electric vehicles (EVs), and developing next generation battery management systems (BMS) is key to reducing total cost of ownership, and enhancing the viability of EVs as a clean alternative to combustion vehicles.

The project focuses on developing a BMS that can address and thermally manage individual large format Li-ion cells within a greater module to better control battery health and performance. The Project will be delivered as a joint collaboration between QUT and FELINE and the developed system will be proven within a FSAE race car. There are two positions available, with software and hardware aspects to the project.

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