Abstract
Electric vehicles are a trending topic nowadays and are an important part of the smart world as well. Several economic and environmental causes are contributing to growing interest in alternative electric battery vehicle technologies. These variables include rising global demand for oil, concomitant rises in fuel prices, and anthropogenic climate change, and as it drives the entire system, the battery is the most critical component for every device. Monitoring the voltage levels of the battery is also critical, and excess charging and discharging of a lithium battery can reduce its lifespan. A Battery Management System based on the Internet of Things (IoT) can be used to notify the manufacturer and consumers remotely regarding the battery status. The paper discusses the interface of the RFID Reader Module (with authorized and unauthorized tags), generates the customer billing information, and shows the battery status as well. The interfacing is performed to transmit the customer information and battery status data to the Thing Speak cloud with the Raspberry Pi controller. Users can monitor the battery status of the vehicle and customer details on their mobile phones from anywhere in the world after they have registered with this cloud network, as the server will now be aware of the customer's status.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Benedetto M, Ortenzi F, Lidozzi A, Solero L (2021) Design and implementation of reduced grid impact charging station for public transportation applications. World Electr. Veh. J. 12:28
Vermesan O, Friess P (2013) Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers
Yao L, Chen YQ, Lim WH (2015) Internet of things for electric vehicle: an ımproved decentralized charging scheme. In: Proceedings of the 2015 IEEE ınternational conference on data science and data ıntensive systems, Sydney, Australia, 11–13 December 2015; pp 651–658
Sousa RA, Monteiro V, Ferreira JC, Melendez AA, Afonso JL, Afonso JA (2018) Development of an IoT system with smart charging current control for electric vehicles. In: Proceedings of the IECON 2018–44th annual conference of the IEEE ındustrial electronics society, Washington, DC, USA, 21–23 October 2018; pp. 4662–4667.
Yao L et al. (2015) Internet of things for electric vehicle: an ımproved decentralized charging scheme. In: 2015 IEEE ınternational conference on data science and data ıntensive systems, pp 651–658
Sharma E, Bharath S, Devaramani A, Deepti SR, Kumar S (2019) IOT enabled smart charging stations for electric vehicles. J Telecommun Study 2:34–39
Huang S, He L, Gu Y et al (2015) Design of a mobile charging service for electric vehicles in an urban environment. IEEE Trans Intell Transp Syst 16:787–798
Arun kumar P, Vijith K (2018) IOT enabled smart charging stations for electric vehicle. Int J Pure Appl Math 119:247–252
Savari GF, Krishnasamy V, Sathik J, Ali ZM, Aleem SH (2020) Internet of things based real-time electric vehicle load forecasting and charging station recommendation. ISA Trans 97:431–447
Acknowledgements
We would like to be thankful to Vignan Institute of Technology and Science, Hyderabad, for providing laboratory facility to complete the entire work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dinesh Kumar, N., Shiddanagouda, F. (2023). IoT-Based Vehicle Charging Eco System for Smart Cities. In: Muthusamy, H., Botzheim, J., Nayak, R. (eds) Robotics, Control and Computer Vision. Lecture Notes in Electrical Engineering, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-99-0236-1_47
Download citation
DOI: https://doi.org/10.1007/978-981-99-0236-1_47
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-0235-4
Online ISBN: 978-981-99-0236-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)