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Condition Monitoring and Power Conditioning of Lithium Ion Batteries

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

Project Description

Most new battery research has focused on the development of new materials in the pursuit of higher energy and power density, longer cycle-life and shorter recharge times. However, successfully predicting and managing the life of batteries is in equal parts necessary for widespread adoption of these cutting edge technologies. Lithium ion batteries have a high power to weight ratio making it popular in electrical equipment and devices. Due to the compact size, weight and flexibility of remodelling in any shape and size, it is widely used in electric vehicles. In this case lithium ion battery is used for EV’s, power consumption varies therefore it is critical to be monitor the performance and state of health, while also implementing optimal energy management strategies. The purpose of the project is to explore techniques for online monitoring of battery performance and state of health. Novel techniques have been developed and applied to fuel cells by the main supervisor (see references), however this has not been adapted for batteries. It is envisaged that similar strategies be developed for lithium ion batteries. A
Applicant should have a MSc in Electrical Engineering.

Funding Notes

Funding opportunities do exist however these are dealt with on a competitive basis.

References

1. C. de Beer, P.S. Barendse, P. Pillay, B. Bullecks and R. Rengaswamy, “Electrical Circuit Analysis of CO Poisoning in High Temperature PEM Fuel Cells for Fault Diagnostics and Mitigation, , IEEE Transactions on Industry Applications, Vol. 51, Iss. 1, pp 619-630, Jan. 2015.
2. C. de Beer, P.S. Barendse, P. Pillay, B. Bullecks and R. Rengaswamy, ”Online Diagnostics of HTPEM Fuel Cells Using Small Amplitude Transient Analysis”, IEEE Transactions on Industrial Electronics, Vol. 62, Iss. 8, pp. 5175-5186, Aug. 2015.
3. C. de Beer, P.S. Barendse, P. Pillay, B. Bullecks and R. Rengaswamy, “Classification of High Temperature PEM Fuel Cell Performance Degradation Using Equivalent Circuits”, IEEE Transactions on Industrial Electronics, Vol. 62, Iss. 8, pp. 5265-5274, Aug. 2015.
4. C. de Beer, P.S. Barendse, P. Pillay, “Fuel Cell Condition Monitoring Using Optimized Broadband Impedance Spectroscopy”, IEEE Transactions on Industrial Electronics, vol. 62, Iss. 8, pp. 5306-5316, Aug. 2015.

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