A Low-Cost Modular Micro Inverter Control Platform for Grid Connected EV Charging Systems


DURSUN M., AKSÖZ A., Görgün A.

13th International Conference on Electrical and Electronics Engineering, ICEEE 2026, Antalya, Türkiye, 27 - 29 Nisan 2026, ss.178-185, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iceee69936.2026.11598067
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.178-185
  • Anahtar Kelimeler: 5-level Packed U-Cell (PUC), EV charging systems, Low-cost control platform, Maximum Power Point Tracking (MPPT), Micro-inverters, Quasi-Z-Source Boost (qZSB) converter, Raspberry Pi 5, Vehicle-to-Everything (V2X)
  • Gazi Üniversitesi Adresli: Evet

Özet

Reducing the negative impacts of non-renewable fossil-based energy sources on climate change has become a global objective across various disciplines. The rapid replacement of internal combustion engine vehicles by electric vehicles (EVs) to lower carbon emissions increases the demand for efficient, scalable, and low-cost charging infrastructures supported by renewable energy. This study presents the design and implementation of a Raspberry Pi 5-based, low-cost, and modular micro-inverter control platform supporting bidirectional power flow (V2G/V2X) for grid-connected EV charging systems. The novelty of the system lies in the integration of a Quasi-Z-Source Boost (qZSB) converter, which offers high voltage gain with a reduced component count, and a 5-level Packed U-Cell (PUC) inverter topology ensuring low Total Harmonic Distortion (THD). An advanced digital signal processing-based control strategy, leveraging the high computational capacity of the Raspberry Pi 5, has been developed to manage complex power flows between solar energy, the grid, and EVs, while optimizing inverter performance and maintaining seamless grid synchronization. Experimental results confirm that the platform exhibits high efficiency, stable operation, and effective grid power quality compliance under dynamic load conditions and grid-interactive modes. The developed hardware architecture significantly reduces system complexity and cost, providing an economically and technically viable solution for next-generation smart microgrids and EV charging stations.