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As batteries are increasingly used to facilitate the integration of solar photovoltaics and wind into our electricity grids, opportunities exist for ‘smarter’ next generation battery management systems that can accurately and rapidly assess aging and state-of-charge in operating batteries. These measurements can facilitate protective and, in some cases, ‘self-healing’ charging and discharging adaptations that are initiated within the battery management system and which can extend battery life and so improve energy storage economics.

Our research focuses on using integrated electrochemical impedance measurements to identify changes in the material state of the battery and so make assessments of physical state of charge and health. This physical information can be used to make decisions within next generation battery management systems in order to improve the economic performance of battery systems. Initial studies are underway with both lithium-ion and sodium-ion battery systems.