Abstract
Memristors have shown significant potential for energy savings ( 1000× reduction in power consumption) in areas such as in-memory AI computing. However, due to the lack of PWM function, their use in power electronics remains limited. This paper proposed a 20-kHz memristor-based PWM modulation for the power converter. A key challenge is the lack of a high-frequency memristor-based PWM generator, as existing memristor-based PWM circuits operate at only around 10 Hz, which is too low for most switch-mode power converters. The limited frequency is due to the inherent dynamics of memristors, which restrict the amplitude swing of the carrier signal. Our new design implements the memristor as a programmable resistor, replacing the fixed resistor in a conventional analog PWM circuit. It can achieve a frequency of approximately 20 kHz, which is sufficient for power converter control. The proposed design is analyzed and validated through LTspice simulations, demonstrating its feasibility as a high-frequency PWM generator. Experimental results using KNOWM memristors further confirm the effectiveness of the design.
| Original language | English (US) |
|---|---|
| Title of host publication | 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331541309 |
| DOIs | |
| State | Published - 2025 |
| Event | 17th Annual IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 - Philadelphia, United States Duration: Oct 19 2025 → Oct 23 2025 |
Publication series
| Name | 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 |
|---|
Conference
| Conference | 17th Annual IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 |
|---|---|
| Country/Territory | United States |
| City | Philadelphia |
| Period | 10/19/25 → 10/23/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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