<p>This paper proposes a novel thirteen-level switched-capacitor inverter design with several advantages: a voltage gain of 6, inherent capacitor self-balancing, and a low component count. The inverter utilizes a voltage sextuple unit (VSU) and a back-end H-bridge section, requiring only eleven switches, one diode, three capacitors, and a single DC input source. A simple and low-frequency switching algorithm, Nearest Level Control, is employed. The VSU section offers a significant benefit: both IGBT switches and diodes' maximum blocking voltage is limited to 2&#xa0;Vdc and 1&#xa0;Vdc, respectively. Compared to existing topologies, the proposed design boasts a lower cost function (CF) indicator. Additionally, most switching states allow capacitor charging, resulting in minimal voltage ripple. The performance of the inverter is comprehensively evaluated through simulations and an experimental setup built around an Arduino Due with an ARM Cortex-M3 core, demonstrating its effectiveness under various load conditions.</p>

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A high-gain, low cost function thirteen level switched-capacitor single source multi-level inverter

  • Yaser Habibi,
  • Jafar Siahbalaee,
  • Mohammad Divandari,
  • Karim Abbaszadeh

摘要

This paper proposes a novel thirteen-level switched-capacitor inverter design with several advantages: a voltage gain of 6, inherent capacitor self-balancing, and a low component count. The inverter utilizes a voltage sextuple unit (VSU) and a back-end H-bridge section, requiring only eleven switches, one diode, three capacitors, and a single DC input source. A simple and low-frequency switching algorithm, Nearest Level Control, is employed. The VSU section offers a significant benefit: both IGBT switches and diodes' maximum blocking voltage is limited to 2 Vdc and 1 Vdc, respectively. Compared to existing topologies, the proposed design boasts a lower cost function (CF) indicator. Additionally, most switching states allow capacitor charging, resulting in minimal voltage ripple. The performance of the inverter is comprehensively evaluated through simulations and an experimental setup built around an Arduino Due with an ARM Cortex-M3 core, demonstrating its effectiveness under various load conditions.