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datasets. By integrating data-driven insights with innovative modeling, this interdisciplinary project aims to enhance our understanding of vulnerability, resilience, and adaptation, ultimately informing
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. The overall aim of this project is to address these challenges by: Developing new data-driven and physics-based models of battery behaviour. Designing advanced BMS algorithms for real-time monitoring and
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position is filled. Contact information For questions, please contact: Prof. Christian Müller Department of Chemistry and Chemical Engineering Email: christian.muller@chalmers.se | Phone: +46 31 772 2790
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