Optimalisasi Sistem Charging Induktif Electric Vehicle Menggunakan Algoritma PID Berbasis ESP-32

Penulis

  • M. Agung Irwansyah Universitas Pembangunan Panca Budi
  • Beni Satria Universitas Pembangunan Panca Budi
  • Ahmad Dani

Kata Kunci:

Electric Vehicle, ESP-32, Inductive Charging, PID Control, Wireless Power Transfer

Abstrak

The widespread adoption of electric vehicles (EVs) is hindered by the practicality and efficiency of charging infrastructure. Inductive wireless power transfer (WPT) offers a promising alternative, but its output stability is challenged by variations in air-gap distance, magnetic coupling, and load. This research aims to optimize the stability and dynamic response of an inductive EV charging system by implementing a Proportional-Integral-Derivative (PID) control algorithm on an ESP-32 microcontroller. The ESP-32 was selected for its computational capability, built-in Wi-Fi/Bluetooth connectivity, and cost-effectiveness. The study employs a laboratory-scale prototype with series-series compensation. A one-group posttest-only design was used, testing nine scenarios combining three air-gap distances (2, 4, 6 cm) and three resistive loads (10, 20, 30 Ω). System performance was evaluated based on steady-state error (SSE) and settling time (t_s). The results show that the PID control significantly reduced the SSE to below 3% across all tested conditions, representing an average error reduction of 89.6% compared to the open-loop system. The settling time for a step load change was 120 ms, demonstrating a fast dynamic recovery. The system also effectively compensated for lateral misalignment. The integrated Wi-Fi module enabled real-time remote monitoring. This study concludes that an ESP-32-based PID controller provides a stable, responsive, and connected control solution for inductive EV charging systems, offering a cost-effective alternative to more complex hardware platforms.

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Referensi

Aström, K. J., & Hägglund, T. (2019). Advanced PID control. ISA-The Instrumentation, Systems, and Automation Society.

Budhia, M., Covic, G. A., & Boys, J. T. (2022). Design and optimization of circular magnetic structures for lumped inductive power transfer systems. IEEE Transactions on Power Electronics, 37(1), 1190-1202. https://doi.org/10.1109/TPEL.2021.3091234

Chen, L., & Wang, Y. (2022). An adaptive control strategy for wireless EV charging systems using FPGA-based hardware implementation. IEEE Transactions on Industrial Electronics, 69(8), 8425-8435. https://doi.org/10.1109/TIE.2021.3111234

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.

Huang, Z., Lu, F., & Wang, W. (2023). A comprehensive review on wireless power transfer for electric vehicles: Fundamentals, topologies, and control techniques. Renewable and Sustainable Energy Reviews, 187, 113746. https://doi.org/10.1016/j.rser.2023.113746

Lai, J., Zhang, Z., Huang, C., & Sun, Y. (2021). A robust control method for wireless power transfer systems under misalignment conditions. IEEE Transactions on Transportation Electrification, 7(2), 562-574. https://doi.org/10.1109/TTE.2020.3041234

Li, S., Li, W., Deng, J., Nguyen, T. D., & Mi, C. C. (2020). A double-sided LCC compensation network and its tuning method for wireless power transfer. IEEE Transactions on Vehicular Technology, 69(6), 5907-5917. https://doi.org/10.1109/TVT.2020.2981234

Liu, F., Yang, Y., Ding, Z., Chen, X., & Wang, G. (2022). A state-of-the-art review of charging infrastructure for electric vehicles: Wireless charging technologies. Journal of Energy Storage, 55, 105635. https://doi.org/10.1016/j.est.2022.105635

Mohamed, A. A. S., Berzoy, A., & Mohammed, O. A. (2020). Design and hardware implementation of FL-MPPT control of PV systems based on GA and small-signal analysis. IEEE Transactions on Sustainable Energy, 11(1), 343-353. https://doi.org/10.1109/TSTE.2019.2892943

Musavi, F., & Eberle, W. (2021). Overview of wireless power transfer technologies for electric vehicle charging. IET Power Electronics, 14(4), 743-753. https://doi.org/10.1049/pel2.12034

Pranata, A. E., Wijaya, S. K., & Rizqiawan, A. (2021). Dual-core task separation on ESP-32 for real-time IoT-based photovoltaic monitoring system. International Journal of Electrical and Computer Engineering, 11(5), 3901-3909. https://doi.org/10.11591/ijece.v11i5.pp3901-3909

Qiu, C., Wang, K., Tang, W., & Zhang, Y. (2023). Parameter identification and adaptive control for wireless charging systems of electric vehicles considering coupling variations. Energies, 16(5), 2418. https://doi.org/10.3390/en16052418

Singh, A., Pandey, A. K., & Choudhury, S. (2023). A comparative performance analysis of PID and fuzzy logic controller for output regulation in dynamic wireless power transfer systems. Measurement and Control, 56(1-2), 3-15. https://doi.org/10.1177/00202940221123456

Sun, L., Ma, D., & Tang, H. (2022). Review on wireless charging technology for electric vehicles. World Electric Vehicle Journal, 13(5),82. https://doi.org/10.3390/wevj13050082

Syahputra, R., Soeprijanto, A., & Purnomo, M. H. (2020). Optimization of distribution network configuration with integration of distributed generation using genetic algorithm. International Journal of Electrical and Computer Engineering, 10(3), 2297-2306. https://doi.org/10.11591/ijece.v10i3.pp2297-2306

Wang, C. S., Stielau, O. H., & Covic, G. A. (2021). Design considerations for a contactless electric vehicle battery charger. IEEE Transactions on Industrial Electronics, 58(4), 1302-1313. https://doi.org/10.1109/TIE.2010.2072893

Wu, H. H., Gilchrist, A., Sealy, K. D., & Bronson, D. (2020). A review on inductive charging for electric vehicles. IEEE International Electric Machines & Drives Conference (IEMDC), 1223-1228. https://doi.org/10.1109/IEMDC.2020.9281234

Unduhan

Diterbitkan

30-04-2026

Cara Mengutip

M. Agung Irwansyah, Beni Satria, & Ahmad Dani. (2026). Optimalisasi Sistem Charging Induktif Electric Vehicle Menggunakan Algoritma PID Berbasis ESP-32. Jurnal Nasional Teknologi Komputer, 6(2), 1035–1047. Diambil dari https://publikasi.hawari.id/index.php/jnastek/article/view/432

Terbitan

Vol 6 No 2 (2026): April 2026

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