Extending Remaining Useful Life of Second-life Battery Energy Systems

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The project aims to develop a framework to reuse second-life battery packs with different degradation levels. This includes a novel machine learning and online battery state estimation algorithm that does not require past use case historical data of the SLBs, an advanced control algorithm to balance the energy in each battery pack and an optimized modular inverter architecture with integrated voltage boosting capability to manage the batteries and meet the control objectives. This benefits not only the environment through delayed e-waste or recycling cycles but also helps the Australian manufacturing sector through a circular economy of energy products and services.