Sensors and Integration Methods for Monitoring and Control of Battery Operation in Large Energy Storage Applications

Battery monitoring and management is a significant challenge in the electrification of transport and renewable energy systems. Safe, reliable and long-life operation of batteries is a critical issue for electric vehicles and energy systems used in diverse and distributed renewable energy sources. This requires the development and integration of sensors with electronics for signal processing and transmission for monitoring of battery condition and control of operation and charging. New methods and techniques for sensor integration and packaging capable of harsh environment operation are required to develop sensors and systems for such applications. The sensor systems should be robust and miniaturised for integration.

In this PhD project, the aim is to develop new sensors and/or integration methods with improved performance for embedded monitoring and control of battery operation and charging. For this purpose a variety of miniaturised sensors and the assembly methods will be investigated depending on the system requirements. There is also opportunity in the project to develop data fusion methods, signal processing and data analysis including machine learning based approaches. The project will be carried out in collaboration with an industrial partner.

Application can be made at https://www.hw.ac.uk/study/apply/uk/postgraduate.htm