Battery Degradation

Battery degradation, the gradual loss of performance over time, is a critical challenge hindering the widespread adoption of battery technologies. Current research focuses on developing accurate predictive models, employing machine learning techniques like neural networks (including quantum neural networks and attention-based architectures) and physics-informed models to capture the complex, nonlinear degradation processes and their dependence on various factors such as operating conditions and manufacturing variability. These advancements aim to improve battery life estimation, optimize battery management systems, and accelerate the development of more durable and reliable batteries for applications ranging from electric vehicles to grid-scale energy storage, ultimately impacting both economic and environmental sustainability.