Cloud-based battery condition monitoring platform for large-scale lithium-ion battery energy storage systems using internet-of-things (IoT)

This paper proposes a novel cloud-based battery condition monitoring platform for large-scale lithium-ion (Li-ion) battery systems. The proposed platform utilizes Internet-of-Things (IoT) devices and cloud components. The IoT components including data acquisition and wireless communication components are implemented in battery modules, which allows a module to communicate with others and cloud. The cloud components include a cloud storage, analytics tools, and visualization. To validate the concept of the proposed cloud-based condition monitoring platform, a small-scale cloud battery management system (BMS) simulator is developed using Raspberry pi boards and Google cloud. Multithreads of the condition monitoring algorithms that estimates battery states and battery model parameters for individual cells are executed in Google cloud. The results show that the cloud-based battery condition monitoring platform can accurately monitor health conditions of battery cells using the high-performance computing resources in the cloud. Therefore, the proposed cloud-based condition monitoring platform can improve scalability, cost-effectiveness, safety, reliability, and optimal operation of the large-scale battery energy storage systems.