https://p-quintanilla.github.io/tag/batteries/BatteriesHugo Blox Builder (https://hugoblox.com)en-usFri, 28 Aug 2026 00:00:00 +0000https://p-quintanilla.github.io/media/logo_hu3037203394763648603.pnghttps://p-quintanilla.github.io/tag/batteries/https://p-quintanilla.github.io/post/ifac-busan-presentation/Fri, 28 Aug 2026 00:00:00 +0000https://p-quintanilla.github.io/post/ifac-busan-presentation/<p>How can batteries respond to markets in seconds while protecting their health for years? 🔋</p> <p>This is the question behind our work presented at the <strong>23rd IFAC World Congress 2026</strong> in <strong>Busan, Korea</strong> 🇰🇷</p> <p>Our hierarchical approach separates these two timescales: <strong>model predictive control</strong> operates on a long timescale, accounting for battery health and future value, while <strong>reinforcement learning</strong> handles fast market decisions. We will soon upload our arXiv preprint with more details! :)</p> <p>A special thank you to <strong>Rasa Pourjam</strong>, whose hard work made this presentation possible. Ehecatl Antonio del Rio Chanona and I co-supervised Rasa&rsquo;s MSc thesis at The Sargent Centre for Process Systems Engineering, and we are incredibly proud of how far he has taken the project.</p> <p>🔗 <a href="https://www.linkedin.com/posts/paulinaquintanilla_mpc-rl-ugcPost-7499026620578648078-Kc4T/" target="_blank" rel="noopener">View the announcement on LinkedIn</a></p>