2013 1st International Future Energy Electronics Conference (IFEEC) 2013
DOI: 10.1109/ifeec.2013.6687496
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Loss analysis of half-bridge LLC resonant converter

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Cited by 44 publications
(17 citation statements)
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“…According to [31], the conduction losses for the passive elements are modelled as an equivalent series resistor (ESR). For the capacitor, the ESR value can be estimated by the following equation: R E S R = tan false( δ false) 2 π f normals C where tan false( δ false) is the dissipation factor of the capacitor.…”
Section: Design Considerations For the Fbllc Converter Discussed Inmentioning
confidence: 99%
“…According to [31], the conduction losses for the passive elements are modelled as an equivalent series resistor (ESR). For the capacitor, the ESR value can be estimated by the following equation: R E S R = tan false( δ false) 2 π f normals C where tan false( δ false) is the dissipation factor of the capacitor.…”
Section: Design Considerations For the Fbllc Converter Discussed Inmentioning
confidence: 99%
“…For the magnetically controlled LLC resonant converter, the power loss mainly include the following aspects: 1) variable resonant inductor loss; 2) primary switch loss; 3) output capacitor loss; 4) transformer loss; 5) secondary rectifier loss; 7) driver circuit loss; 8) control circuit loss. Compared with the traditional power loss analysis of the frequency controlled LLC resonant converter [28], the differences only exist in variable resonant inductor loss, transformer loss, and control circuit loss. Therefore, only the discussion of the variable resonant inductor loss, transformer loss, and control circuit loss are presented in this paper.…”
Section: Power Loss Analysismentioning
confidence: 99%
“…Since the switches usually turn on under ZVS condition, switching losses at turn-on can be neglected. In [12,23] the power-loss equations are elaborated specifically. The voltage and current of LLC resonant converters in different operation modes are presented in [12]; these voltage and currents are essential for loss calculation.…”
Section: Monte Carlo Optimizationmentioning
confidence: 99%