STORAGE INTEGRATION
This theme cuts across the other four themes addressed by the Project. This theme encompasses monitoring, controlling, optimising and integrating into networks, energy storage technologies including batteries, fuel cells, power-to-gas and virtual storage, to fully realise their value.
ADVANCED HEALTH MONITORING AND ANALYSIS METHODS FOR BATTERY ENERGY STORAGE SYSTEMS
The objective of this sub-theme is to investigate a new framework that integrates dynamic battery state estimation into charging/discharging algorithms to improve the charging efficiency, reliability and cycle life of batteries.
The focus of the research will include:
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modelling material properties and chemical processes via combined theoretical- experimental investigations;
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developing effective and efficient on-line measurement to assist the estimation of time-varying parameters of the nonlinear battery models;
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developing customer-tailored state-of-charge and remaining useful life estimation methods for batteries based on the dynamic models;
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building a real-time RTDS-based hardware-in-the-loop test-bed for battery life cycle testing and model validation; and
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developing adaptive charging algorithms for optimal scheduling, considering battery degradation and state estimation uncertainties.