Management System of Smart Electric Vehicles Using Software Engineering Model

Abstract

In this paper, a management system for smart electric vehicle is introduced using software engineering models and installed Sensor Network (SN). Two software engineering models are proposed to construct the information exchange and available resource management algorithms, in which the required performance of vehicles is obtained. The resource management algorithm adopts the LeNet-5 deep-learning model in choosing the best driving mode amongst suggested five modes. The dataset is achieved from the simulated SN. The results show the satisfactory performance of the electric cars in terms of information exchange and resource management. The Message Queuing Telemetry Transport (MQTT) broker server is employed for monitoring the information exchange between the sensors, actuators and controller. The delay time is measured to be less than 1 sec for transmitting 1000 message. The proposed system saves energy by 1-8 kWh and a storage capacity by 9-95 MB for driving 100 km.