Original scientific paper

https://doi.org/10.32985/ijeces.13.5.5

Management System of Smart Electric Vehicles Using Software Engineering Model

Muayad Sadik Croock orcid.org/0000-0001-5269-0697 ; University of Technology-Iraq, Department of Control and System Engineering Baghdad, Iraq
Sahar Salman Mahmood ; University of Technology-Iraq, Department of Civil Engineering Baghdad, Iraq

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.

Keywords

Software Engineering; Electric Car; Deep-Learning; Sensor Network

Hrčak ID:

281491

URI

https://hrcak.srce.hr/281491

Publication date:

15.7.2022.

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