Suggested Citation:
Qu, Xudong, Jingyuan Zhao, Hui Pang, Michael Fowler, Jingyuan Zhao (2025)

Real-World Battery Diagnostics in Industry 4.0

In the context of Industry 4.0, the capability for accurate, real-time diagnostics of battery systems marks a crucial enhancement in energy resource management. This comment explores the integration of smart diagnostic technologies within Industry 4.0, emphasizing methodologies that utilize internet of things (IoT) connectivity, specific machine learning algorithms such as neural networks, and comprehensive big data analytics. A cloud-based, AI-powered solution not only improves the diagnostics of battery lifespan and safety but also aligns with Industry 4.0 frameworks to facilitate automated decision-making and efficient resource management. Such research advances sustainable industrial practices and supports the broader application of green technologies in smart manufacturing settings.