Implementation of the Battery Monitoring and Control System Using Edge-Cloud Computing

Abstract

Battery monitoring and control are the key parts of a battery management system and are integrated on purely edge-based applications. However, purely edge-based applications face issues such as 1) difficulty in integrating methods with high computational power and complexity, 2) low speed and accuracy, and 3) limited data storage capability. Despite of those issues, previous studies only focus on battery monitoring system without considering battery control. In contrast, few studies about battery control systems still lack in control during battery discharging. In this paper, edge is integrated to cloud, performing both battery monitoring and controlling of charge and discharge states. Integrating the edge to cloud resolves the aforementioned challenges and keeps the battery within its safe operating area. In addition, a web user-interface is developed to monitor and control the battery’s state remotely. To measure the performance of the proposed system, a prototype is also developed. Using the prototype, battery control commands are sent to edge for 50 trials each without any errors encountered. Also, results shows that data transmission from edge to cloud does not skip or missed any data from 0 to 18,000 seconds and achieved the appropriate sampling time of 0.1s. Therefore, accurate and complete storing of historical data of the battery pack is achieved.