Oeder C, Göttle J, Dürbaum T (2014)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2014
Pages Range: pp
The first harmonic approximation (FHA), also known as fundamental mode approximation or sinusoidal analysis, is a widely used, very appropriate and easily applicable technique to analyze resonant converter topologies. It is no exaggeration to say that the FHA plays a major role in today's establishment and success of (multi-) resonant converters. Though the method exhibits some insufficiency, the insight and experience, which the analysis results provide, are extremely useful and valuable. As it is exactly the simplicity, which makes the FHA that powerful, any improvement or refinement of the method should be done with care not to destroy its greatest benefit. Keeping that in mind, the proposed improvement has been developed to provide a tremendous gain in accuracy while preserving simplicity and a low computational effort. More specifically, the improvement is based on the same idea as the fundamental mode approximation considering only sinusoidal or partly sinusoidal current waveforms. The gain in accuracy is based on a more realistic current waveform, which in turn provides a more accurate converter optimization. In the following, the derivation and basic assumptions of the proposed FHA improvement will be explained in detail. A comparison of the original FHA, the improved FHA and the exact steady-state solution for an exemplary multi-resonant LLC converter will justify the proposed improvement. © VDE VERLAG GMBH.
APA:
Oeder, C., Göttle, J., & Dürbaum, T. (2014). Novel Improved Loss Prediction for Multi-Resonant Converter Optimization Based on the First-Harmonic-Approximation. In Proceedings of the PCIM Conference, May 2014 (pp. pp). Nuremberg, DE.
MLA:
Oeder, Christian, Jens Göttle, and Thomas Dürbaum. "Novel Improved Loss Prediction for Multi-Resonant Converter Optimization Based on the First-Harmonic-Approximation." Proceedings of the PCIM Conference, May 2014, Nuremberg 2014. pp.
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