EVENT‐BASED MODELING FOR BATTERY MANUFACTURING SYSTEMS USING SENSOR DATA

An integrated modeling and analysis approach is much needed that can relate the sensor data with the dynamic battery manufacturing and evaluate the system performance for continuous improvement. This chapter presents such a method for sensor-enabled battery manufacturing system modeling and analysis. Distributed sensing, a system-wide deployment of sensing devices, has resulted in a data-rich environment with opportunities and challenges in manufacturing systems. On the basis of the system description and assumptions, an event-based modeling (EBM) approach for virtual multilayer sensor structure is introduced to reflect the market demand-driven battery manufacturing systems. The EBM method does not solely focus on physical model nor it is based on long-term steady state, but it closely communicates with distributed sensor networks for smart monitoring and diagnosis. The cost in manufacturing system is categorized into two categories: resources that are supplied as used (and needed) and resources that are supplied in advance of usage.