AI and Smart Sensors for Advanced Batteries
As a key technology for electromobility and renewable energy storage, batteries remain costly and face risks of thermal runaway and premature degradation. To tackle these critical challenges, this project develops advanced battery management algorithms by leveraging interdisciplinary knowledge, novel sensors, big data, and artificial intelligence.
Validated on commercial batteries and vehicle fleet data, our algorithms accurately monitor critical battery states and predict their lifetime under diverse conditions. Additionally, we have designed adaptive feedback control strategies for health-aware, faster charging and have demonstrated significant improvements on laboratory batteries. The plan is to translate and adapt these smart charging strategies to commercial batteries. Our innovations hold high potential to make batteries safer, more affordable, and sustainable, thereby significantly accelerating the clean energy transition.
