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 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. The datset is achieved from the simulated sensor Network (SN). The results show the satisfied performance of the electric cars in terms of information exchange and resource management. The MQTT broker server is employed for monitoring the information exchange algorithm, where the delay time is less than 1 sec for transmitting 1000 message. The proposed system saves power by 1-8 Kwh and a storage capacity by 9-95 MB for driving 100Km.