Optimizing Laptop Charging Efficiency with the MPPT Algorithm in a Fast Charging System for USB-C PD (Power Delivery) Based Laptops

Authors

  • Christian Putra Simanungkalit Universitas Pembangunan Panca Budi, Jalan Gatot Subroto km 4,5 Medan, Sumatera Utara, Indonesia 20128
  • Christian Putra Simanungkalit Universitas Pembangunan Panca Budi, Jalan Gatot Subroto km 4,5 Medan, Sumatera Utara, Indonesia 20128
  • Solly Aryza Universitas Pembangunan Panca Budi, Jalan Gatot Subroto km 4,5 Medan, Sumatera Utara, Indonesia 20128
  • Beni Satria Universitas Pembangunan Panca Budi, Jalan Gatot Subroto km 4,5 Medan, Sumatera Utara, Indonesia 20128

Keywords:

MPPT, Fast Charging, USB-C Power Delivery, Energy Efficiency, and Laptop.

Abstract

The rapid advancement of portable electronic device technology, particularly laptops, necessitates a charging solution that is faster, more efficient, and compatible with diverse standards. The USB-C Power Delivery (USB-C PD) protocol has emerged as a universal charging standard due to its ability to support flexible voltage and current configurations. Nevertheless, the overall charging efficiency remains constrained by dynamic load behaviour, fluctuations in power sources, and the limitations of conventional power management techniques. This paper  described the integration of a Maximum Power Point Tracking (MPPT) algorithm into a USB-C PD-based fast-charging system for laptops, aiming to enhance energy transfer efficiency between the power source and the device. The research methodology involves the design and simulation of a power management system incorporating MPPT, hardware prototyping, and performance evaluation based on efficiency, charging duration, and voltage stability metrics. Experimental results indicate that the implementation of the MPPT algorithm significantly improves charging efficiency, minimizes energy losses, and reduces charging time compared to conventional charging methods. The proposed approach not only contributes to the advancement of USB-C PD-based fast-charge technologies but also lays a foundation for future developments in intelligent, energy-efficient power management systems. These findings have broad potential applications in next-generation electronic devices that demand fast, adaptive, and sustainable charging solutions.

Downloads

Download data is not yet available.

References

Abdelsalam, A. et al (2021). High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids. IEEE Transactions on Power Electronics, 26(4), 1010–1021. https://doi.org/10.1109/TPEL.2010.2061570

Aryza S, etal (2024) A ROBUST OPTIMIZATION TO DYNAMIC SUPPLIER DECISIONS AND SUPPLY ALLOCATION PROBLEMS IN THE MULTI-RETAIL INDUSTRY. Eastern-European Journal of Enterprise Technologies, (3).

Ardiansyah, R., & Wibowo, B. (2020). Implementasi Programmable Logic Controller (PLC) dalam sistem otomasi industri. Jurnal Teknologi Industri, 12(2), 115–124.

Chen, X., & Liu, Y. (2018). Efficiency optimization of laptop charging using MPPT-based DC-DC converters. International Journal of Electronics and Electrical Engineering, 6(3), 45–52.

Derdour, M., et al (2018). An IoT-based control and monitoring system for industrial chemical processes. International Journal of Advanced Computer Science and Applications, 9(11), 123–130.

Firdiansyah, A., & Prasetyo, H. (2021). Internet of Things untuk pemantauan proses industri berbasis sensor. Jurnal Sistem Informasi dan Teknologi, 9(1), 55–62.

Hamdani H et al (2022) An Enhance Of Renew Source For Homes. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(3).

Kusuma, D. P., & Santoso, E. (2019). Rancang bangun sistem kendali proses pencampuran cairan berbasis PLC. Jurnal Otomasi Industri, 5(1), 22–30.

Muhammad, H. (2020). Dasar-dasar SCADA dan Implementasi di Industri Proses. Deepublish.

Satria, B., & Aryza, S. (2025). Analysis of Reactive Power Compensation Using Static Compensator (STATCOM) Technology in Distribution Networks. INFOKUM, 13(04), 1280-1291.

Putra, Y. F., & Hidayat, R. (2022). Optimalisasi proses pencampuran kimia menggunakan sistem kontrol otomatis pada industri kertas. Jurnal Rekayasa Proses, 13(2), 95–104.

Rifai, A., & Maulana, R. (2021). Pengembangan sistem kendali otomatis berbasis PLC pada industri manufaktur. Jurnal Teknologi dan Riset Terapan, 3(2), 88–97.

Rahmaniar R et al (2021) Peningkatan Pemahaman PUIL 2000 dan Perhitungan Iluminasi pada Museum Deli Serdang. Jurnal Abdidas, 2(3), 646-651.

Smith, C., & Corripio, F. (2006). Principles and Practice of Automatic Process Control (3rd ed.). Wiley.

Sungkono, D. (2020). Integrasi IoT dan PLC dalam peningkatan efisiensi proses industri. Jurnal Teknologi Elektro dan Komputer, 8(4), 290–298.

Downloads

Published

2026-04-01

How to Cite

Christian Putra Simanungkalit, Christian Putra Simanungkalit, Solly Aryza, & Beni Satria. (2026). Optimizing Laptop Charging Efficiency with the MPPT Algorithm in a Fast Charging System for USB-C PD (Power Delivery) Based Laptops. Jurnal Info Sains : Informatika Dan Sains, 16(01), 192–201. Retrieved from https://ejournal.seaninstitute.or.id/index.php/InfoSains/article/view/8381