Active control of battery aging process for life extension. This project aims to extend the lifetime of battery energy storage systems for power grids by developing innovative approaches to control th

Description

Active control of battery aging process for life extension. This project aims to extend the lifetime of battery energy storage systems for power grids by developing innovative approaches to control the battery aging process at a cell level. The project expects to utilise digital twin technology, integrating a deep learning model with an electrochemical model, to predict the impact of operating conditions on battery aging and regulating these conditions to control the aging process and extend battery life. The expected outcomes include longer battery life, reduced downtime, and increased throughput of battery energy storage systems. This should provide significant benefits to battery energy storage manufacturing and support Australia’s transition to sustainable power grids. . Scheme: Linkage Projects. Field: 4004 - Chemical Engineering. Lead: Prof Weixiang Shen