Battery Recycling

Battery recycling aims to recover valuable materials from spent batteries, mitigating environmental damage and resource depletion. Current research emphasizes automation, focusing on machine learning techniques like transfer learning and convolutional neural networks (e.g., ResNet adaptations) for efficient battery sorting and classification. The development of robotic simulation platforms is also crucial for testing and optimizing automated recycling processes, addressing safety concerns and improving overall efficiency. These advancements are vital for scaling up battery recycling to meet the growing demand for sustainable battery management.