Energy Consumption Prediction Framework in Model-based Development for Edge Devices

In the digital era, edge devices are widely used in many fields such as industrial automation, autonomous driving vehicles, and healthcare. Model-based development (MBD), as a fast and efficient development method, has been gradually applied to embedded software development for edge devices in recent years. However, energy consumption prediction is often neglected in the traditional MBD process. This study proposes an energy consumption prediction framework that aims to integrate energy consumption prediction into the MBD process. In addition, this paper proposes an energy consumption prediction tool for edge devices. The development of such a prediction tool implies that energy consumption can be evaluated during the design phase so that the design can be optimized to reduce energy consumption, which is particularly important for power-sensitive applications.