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Paper ID:IJSREM66413

Experimental Analysis of Wireless EV Charging Efficiency in an IoT-Based Smart Parking System with Automated Gate Control and Real-Time Monitoring

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66413

Volume:

10 |

7 |

Jul 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66413

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SC

Shriya Chaudhari

Electronics and Computer Engineering

Progressive Education Society's Modern College of Engineering, Pune

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RA

Riddhi Auty

Electronics and Computer Engineering

Progressive Education Society's Modern College of Engineering, Pune

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BD

Bhakti Desale

Electronics and Computer Engineering

Progressive Education Society's Modern College of Engineering, Pune

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Mentors

PDB

Prof. Dr.Sheetal Borde

Electronics and Telecommunication Engineering

Progressive Education Society's Modern College of Engineering, Pune

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Abstract

The rapid growth in Electric Vehicle (EV) deployment worldwide has highlighted the urgent need for smarter parking infrastructure and contactless charging solutions. This work introduces an IoT-integrated Smart Parking framework that unifies Wireless EV Charging, Automated Gate Control, Real-Time Battery Monitoring, and OTP-secured Vehicle Exit within one platform. An ESP32 microcontroller serves as the central processing unit, complemented by IR-based slot detection, an INA219 power sensing module, and ThingSpeak cloud connectivity for continuous telemetry. Contactless energy delivery is achieved via inductive coupling grounded in the principle of mutual electromagnetic induction. A series of experiments was conducted across transmitter-receiver coil gaps ranging from 0 cm to 5 cm. Results confirm that energy transfer efficiency declines with increasing gap distance, sustaining values exceeding 80% when the gap is kept within 2 cm. The integrated architecture delivers an effective, secure, and readily scalable foundation for next-generation smart urban mobility.

KEYWORDS

Smart Parking System Wireless Power Transfer Electric Vehicle Charging Internet of Things ESP32 Mutual Induction.

Cite This Article

Shriya Chaudhari, Riddhi Auty, Bhakti Desale, Prof. Dr.Sheetal Borde, "Experimental Analysis of Wireless EV Charging Efficiency in an IoT-Based Smart Parking System with Automated Gate Control and Real-Time Monitoring," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-7, Jul 2026. https://doi.org/10.55041/IJSREM66413

Full Article/Conclusion

This paper has presented, validated, and benchmarked an IoT-integrated Smart Parking platform that co-locates contactless EV charging, live battery telemetry, servo-gated access control, and OTP-secured exit authorisation within a single embedded system. The architecture bridges WPT hardware with cloud analytics to deliver an operationally transparent and cryptographically protected EV parking service. Contact-proximity measurements returned a peak charging efficiency of 92%, and the 80% efficiency floor was maintained for all gap settings up to 2 cm. Receiver terminal voltage, load current, and delivered power each declined monotonically with gap distance, driven by the progressive erosion of magnetic coupling and mutual inductance between the coil pair. The findings establish a clear operational envelope: coaxial coil alignment with a maximum separation of 2 cm is necessary and sufficient to deliver commercially viable wireless charging performance for the prototype coil geometry. Beyond the core energy-delivery function, the convergence of ThingSpeak telemetry, INA219-based battery assessment, servo gate actuation, and dynamic OTP validation elevates the system from a simple charger to a complete smart-parking management node. The architecture is readily extensible: higher-power transmitter coils, AI-driven stall allocation, a dedicated mobile-application interface, and in-motion dynamic charging for continuously moving vehicles represent natural avenues for future development.

References

[1] S. Li and C. C. Mi, "Wireless Power Transfer for Electric Vehicle Applications," IEEE J. Emerg. Sel. Top. Power Electron., vol. 3, no. 1, pp. 4-17, 2015. [2] G. A. Covic and J. T. Boys, "Inductive Power Transfer," Proc. IEEE, vol. 101, no. 6, pp. 1276-1289, 2013. [3] A. Kurs, A. Karalis, R. Moffatt, J. D. Joannopoulos, P. Fisher, and M. Soljačić, "Wireless Power Transfer via Strongly Coupled Magnetic Resonances," Science, vol. 317, no. 5834, pp. 83-86, 2007. [4] M. Budhia, G. A. Covic, and J. T. Boys, "Design and Optimization of Circular Magnetic Structures for Lumped Inductive Power Transfer Systems," IEEE Trans. Power Electron., vol. 26, no. 11, pp. 3096-3108, 2011. [5] Z. Bi, T. Kan, C. C. Mi, Y. Zhang, Z. Zhao, and G. A. Keoleian, "A Review of Wireless Power Transfer for Electric Vehicles," IEEE Trans. Ind. Electron., vol. 63, no. 10, pp. 6538-6549, 2016. [6] F. Ahmad, A. Hudawale, and S. Jadhav, "IoT Based Smart Parking System for Smart Cities," Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 6, pp. 1234-1239, 2019. [7] G. Revathi and V. S. Dhulipala, "Smart Parking Systems and Sensors: A Survey," IEEE Access, vol. 10, pp. 49313-49329, 2022. [8] M. Y. I. Idris, Y. Y. Leng, E. M. Tamil, N. M. Noor, Z. Razak, and K. L. Fong, "Parking Guidance System Utilizing Wireless Sensor Network and Ultrasonic Sensor," Inf. Technol. J., vol. 8, no. 2, pp. 138-146, 2009. [9] G. Suciu, I. Rotaru, A. Coman, and O. Fratu, "Tele-Monitoring the Battery of an Electric Vehicle," EAI Endorsed Trans. Ind. Netw. Intell. Syst., vol. 5, no. 14, pp. 1-4, 2018. [10] A. Fotouhi, D. J. Auger, K. Propp, S. Longo, and M. Wild, "A Review on Electric Vehicle Battery Modelling," Renew. Sustain. Energy Rev., vol. 56, pp. 1008-1021, 2016.

Editorial & Review Transparency

Publication Date

7/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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