OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
As the Battery Energy Storage System (BESS) industry accelerates alongside renewable energy adoption, advanced battery management is becoming essential. While traditional Battery Management Systems (BMS) provide critical safety and operational control, they often lack precision in State of Charge (SoC) estimates and offer limited insight into long-term battery health. Predictive analytics fills these gaps by leveraging real-world data to uncover manufacturing deficiencies and enhance accuracy in SoC and State of Health (SoH) metrics. This presentation explores how predictive analytics can drive smarter, more reliable energy storage, thus empowering stakeholders to optimize battery performance in a rapidly evolving, data-driven energy landscape.
