For medium-voltage, large-capacity, multi-output supercapacitor charging applications, power inductors play an important role in filtering and energy storage. For a short-time duty power inductor, the major design cha...
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For medium-voltage, large-capacity, multi-output supercapacitor charging applications, power inductors play an important role in filtering and energy storage. For a short-time duty power inductor, the major design challenge is accurate transient thermal prediction, which goes beyond the scope of the empirical method. A transient thermal model that considers water-cooling plates was constructed to predict thermal performance. On this basis, this study presents a novel multi-objective optimisationdesignmethod, where the analytical method and the finite-element method were combined through programming control to balance accuracy and efficiency. Furthermore, a short-time duty 400 kW/182 A/2 kHz/15 kV power inductor prototype was designed and manufactured. Compared with the results of the 30-minute thermal experiment, the calculation error is no >7.0%, which is significant for the accurate and highly compact design of the short-time duty power inductor.
A multi-objective optimisationdesignmethod for passive power filter devices is proposed to solve the input current harmonic suppression problem of the aircraft starter/generator system. The parameters of the filter ...
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A multi-objective optimisationdesignmethod for passive power filter devices is proposed to solve the input current harmonic suppression problem of the aircraft starter/generator system. The parameters of the filter device are optimised by using the particle swarm optimisation algorithm. The proposed algorithm takes harmonic parameters, DC voltage drop, total volume and weight as the optimisation target. With these optimisations, the filter has the minimal volume and weight, while the current harmonic and the DC side voltage drop are able to meet the power quality requirements. This approach improves the filter design procedure with advantages of the reduced amount of calculation. Finally, theoretical analysis and computer simulation validate the effectiveness and viability of the presented algorithm.
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