Management System of Smart Electric Vehicles Using Software Engineering Model

In this paper, a management system for smart electric vehicle is introduced using software engineering models and installed Sensor Network (SN). Two are proposed to construct information exchange available resource algorithms, in which the required performance of vehicles obtained. The algorithm adopts LeNet-5 deep-learning model choosing best driving mode. datset achieved from simulated sensor results show satisfied cars terms management. MQTT broker server employed monitoring algorithm, where delay time less than 1 sec transmitting 1000 message. saves power by 1-8 Kwh storage capacity 9-95 MB 100Km.