IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities

Shabana Urooj, Fadwa Alrowais, Yuvaraja Teekaraman, Hariprasath Manoharan and Ramya Kuppusamy
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Shabana Urooj: Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia
Fadwa Alrowais: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia
Yuvaraja Teekaraman: MOBI-Mobility, Logitics and Automative Technology Research Centre, Vrije Universiteit Brussels, 1050 Ixelles, Belgium
Hariprasath Manoharan: Department of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur 524 101, India
Ramya Kuppusamy: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562 106, India

Energies, 2021, vol. 14, issue 4, 1-16

Abstract: The application of Internet of Things (IoT) has been emerging as a new platform in wireless technologies primarily in the field of designing electric vehicles. To overcome all issues in existing vehicles and for protecting the environment, electric vehicles should be introduced by integrating an intellectual device called sensor all over the body of electric vehicle with less cost. Therefore, this article confers the need and importance of introducing electric vehicles with IoT based technology which monitors the battery life of electric vehicles. Since the electric vehicles are implemented with internet, an online monitoring system which is called Things Speak has been used for monitoring all the vehicles in a continuous manner (day-by-day). These online results will then be visualized in MATLAB after an effective boosting algorithm is integrated with objective function. The efficiency of proposed method is tested by visual analysis and performance results prove that the projected method on electric vehicle is improved when using IoT based technology. It is also observed that cost of implementation is lesser and capacity of electric vehicle is increased to about 74.3% after continuous monitoring with sensors.

Keywords: electric vehicle; Internet of Things (IoT); sensors; capacity; cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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