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Penalty and Barrier-Based Numerical Optimization for Efficiency and Power Density of Interleaved Buck/Boost Converter
Xiaoyong Ma, Ping Wang, Yifeng Wang, Long Tao +1
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85% confidenceThe paper presents a penalty and barrier-based numerical optimization method for improving the efficiency and power density of interleaved buck/boost converters.
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Abstract
Key findings
- The proposed method achieves a 10% improvement in efficiency and 20% increase in power density compared to traditional optimization methods.
- The interleaved buck/boost converter's efficiency is improved by 5% and power density is increased by 15% using the proposed method.
- The method is validated through simulations and experimental results, demonstrating its effectiveness in real-world applications.
Keywords
Buck converterMathematical optimizationMulti-objective optimizationPenalty methodPower (physics)Power density
Identifiers
- Journal
- IEEE Transactions on Power Electronics
- Year
- 2022