Discovery of next-generation battery electrodes using topology optimisation

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University of Texas at Austin


Energy storage systems (ESSs) are essential components for the delivery of uninterrupted renewable energy of the future. A key stride towards the development of these systems revolves around the design of insertion-electrode batteries (IEBs). However, battery cell performance metrics of capacity and rate capability in these batteries are limited by inefficient ion and electron transport due to the complex transport channels the ions must navigate to reach storage sites – a fundamental limitation of slurry-cast (SC) type electrodes. We present a gradient-driven approach to derive optimal electrode architecture, constrained only by the underlying multiphysics system defining transport mechanisms in and across solid and liquid phases. The derived framework challenges the traditional manufacturing techniques for electrodes, inspiring novel strategies for deriving new high-performance electrodes.


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