Smart Management of EV Charging Station Using AI Chatbot & TOM API

Year : 2024 | Volume :14 | Issue : 02 | Page : 16-23
By

Atharv Sangle,

Smita Bhosale,

Suhani Yadav,

Aditya Borude,

  1. Student, Department of Electronics &Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, India
  2. Student, Department of Electronics &Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, India
  3. Student, Department of Electronics &Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, India
  4. Student, Department of Electronics &Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, Pune, India

Abstract

This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative charging station aggregation models, the system endeavor to enhance efficiency and alleviate congestion at charging facilities. Key features of the proposed system include real-time slot booking functionality, facilitated by an AI-powered chatbot interface, which empowers users to seamlessly reserve charging slots according to their preferences and requirements. Furthermore, integration with navigation systems, such as the Google Maps API, enables users to efficiently locate and navigate to nearby charging stations, thereby minimizing range anxiety and optimizing travel routes. The system prioritizes sustainability and environmental stewardship. By incentivizing the adoption of renewable energy sources and promoting the efficient utilization of charging infrastructure, the project aligns with global initiatives aimed at reducing carbon emissions and combating climate change. The proposed system has significant implications for economic growth and technological innovation. By fostering the development of a robust EV charging ecosystem, the project creates opportunities for business expansion and revenue generation within the burgeoning EV market. Furthermore, it showcases the potential of cutting-edge technologies, such as artificial intelligence and renewable energy integration, to address real-world challenges and drive progress towards a more sustainable future.

Keywords: Smart Management System, Gmaps API, Slot booking, AI Chatbot, EVs, etc.

[This article belongs to Journal of Energy, Environment & Carbon Credits(joeecc)]

How to cite this article: Atharv Sangle, Smita Bhosale, Suhani Yadav, Aditya Borude. Smart Management of EV Charging Station Using AI Chatbot & TOM API. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):16-23.
How to cite this URL: Atharv Sangle, Smita Bhosale, Suhani Yadav, Aditya Borude. Smart Management of EV Charging Station Using AI Chatbot & TOM API. Journal of Energy, Environment & Carbon Credits. 2024; 14(02):16-23. Available from: https://journals.stmjournals.com/joeecc/article=2024/view=167980

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References

  1. AchmadFitro, SuryonoSuryono, and RetnoKusumaningrum. “Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm”. EECSI 2018, Malang, Indonesia, 16-18 October 2018
  2. Joao C. Ferreira, V´ıtor Monteiro, and Joao Luiz Afonso. “Vehicle-to-Anything Application (V2Anything App) for Electric Vehicles”. In: IEEE Transactions on Industrial Informatics 10.3 (2014), pp. 1927–1937. DOI: 10.1109/TII.2013.2291321.
  3. Chatzakis, K. Kalaitzakis, N. C. Voulgaris and S. N. Manias, “Designing a new generalized battery management system”, IEEE Trans. Ind. Electron. Vol. 50, No. 5, pp. 990 -999, 2003.
  4. OO Akinwole and TT Oladimeji. “Design and implementation of arduino microcontroller based automatic lighting control with I2c LCD display”. In: J Electr Electron Syst 7.258 (2018), pp. 2332–0796.
  5. Ramakrishnan, M. Ram kumar, D. Sharoun and A.S. Vigneshwar,” IoT Based Battery Monitoring System for E-Vehicle”, International Journal of Scientific Research in Science and Technology, Volume 9, Issue 1, 2021.
  6. Rahul George, SrikumarVaidyanathan, and K Deepa. “Ev charging station locator with slot booking system”. In: 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC). IEEE. 2019, pp. 342–348.
  7. Themozhi, A. Prabha, P. Radhakrishnan and K. Manigandan, “Battery Monitoring and Smart Charging Using IoT for Electrical Vehicle Applications”, International Journal of Aquatic Science ISSN: 2008-8019 Vol 12, Issue 03, 2021
  8. Amey kumar Balkrishna Dudgikar, Adnan Ahmad Akbar Ingalgi, Abhishek Gensidha Jamadar, Onkar Rameshchandra Swami, Suhas Balram Khadake and Shreya Vikram Moholkar,” Intelligent Battery Swapping System for Electric Vehicles with Charging Stations Locator on IoT and Cloud Platform”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) Volume 3, Issue 1, January 2023.
  9. Mohsen Ahmadi, N Mithulananthan, and Rahul Sharma. “A review on topologies for fast charging stations for electric vehicles”. In: 2016 IEEE International Conference on Power System Technology (POWERCON). IEEE. 2016, pp. 1–6.
  10. Neeta. R. Kadam, AtharvaNarale, Pratik Sabale, KaustubhSalegaonkar, TohidPatwekar, ” IOT Based Battery Swapping Station and Monitoring System for Electric Vehicle’s” ,International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.201-204, May-June-2023.
  11. Yonghua, Y. Yuexi, H. Zechun, “Present Status and Development Trend of Batteries for Electric Vehicles,” Power System Technology, Vol. 35, No. 4, pp. 1-7, 2011.
  12. Binod Vaidya1, Hussein T. Mouftah: Smart Electric Vehicle Charging Management for Smart cities: IET Research Journals, The Institution of Engineering and Technology 2015
  13. Rai A., Vijh S., and Sethupathi P., ‘Vehicle Design, Battery Design and Distribution Model to Implement Battery Swapping in Battery Electric Vehicles, by Drawing Parallels with the Indian LPG-Distribution Network which has Effectively Implemented Cylinder-Swapping Methodology,’ SAE Technical Paper 2016-28-0024, 2016, doi:10.4271/2016-28-0024.
  14. H , Y.V Nithin Reddy , Dinesh , Ram Gopal : ‘IoT-Based Battery Monitoring System for Electric Vehicle’ Turkish journal of computer and mathematics education Vol.12 No.13 (2021), 3524-3528.
  15. Piao, Q. Liu, Z. Huang, C. Cho, and X. Shu, “VRLA Battery Management System Based on LIN Bus for Electric Vehicle,” Advanced Technology in Teaching, AISC163, pp. 753-763, 2011.
  16. HeikoKnospe and Scarlet Schwiderski-Grosche. “On- line payment for access to heterogeneous mobile net- works”. In: IST Mobile & Wireless Telecommunications Summit. 2002, pp. 748–752.
Regular Issue Subscription Original Research
Volume 14
Issue 02
Received July 12, 2024
Accepted July 22, 2024
Published August 20, 2024
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