Design optimization for a half-bridge DC-DC converter

Wu, C.; Lee, F. C.; Balachandran, Swaminathan; Goin, H. L.

doi:10.1109/pesc.1980.7089433

Cited by 8 publications

(3 citation statements)

References 2 publications

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“…Classical optimization techniques, such as the sequential unconstrained minimization technique (SUMT) or the augmented Lagrangian (ALAG) penalty function technique are applied to improve independently efficiency or mass for the optimum power stage of DC-DC converters design (Yu et al, 1979;Sussman and Stallman, 1975). A comparative study of SUMT and ALAG methods was presented in Wu et al (1982). Particular focus was given to trade-off between efficiency and weight, as the switching frequency of the converter was varied between 30 and 120 kHz.…”

Section: Power Converter Design Optimizationmentioning

confidence: 99%

Bi-objective sizing optimization of power converter using genetic algorithms

Mejbri

Ammous

Abid

et al. 2013

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -This paper aims to focus on the trade-off between losses and converter cost. Design/methodology/approach -The continual development of power electronic converters, for a wide range of applications such as renewable energy systems (interfacing photovoltaic panels via power converters), is characterized by the requirements for higher efficiency and lower production costs. To achieve such challenging objectives, a computer-aided design optimization based on genetic algorithms is developed in Matlab environment. The elitist non-dominated sorting genetic algorithm is used to perform search and optimization, whereas averaged models are used to estimate power losses in different semiconductors devices. The design problem requires minimizing the losses and cost of the boost converter under electrical constraints. The optimization variables are, as for them, the switching frequency, the boost inductor, the DC capacitor and the types of semiconductor devices (IGBT and MOSFET). It should be pointed out that boost topology is considered in this paper but the proposed methodology is easily applicable to other topologies. Findings -The results show that such design methodology for DC-DC converters presents several advantages. In particular, it proposes to the designer a set of solutions -as an alternative of a single one -so that the authors can choose a posteriori the adequate solution for the application under consideration. This then allows the possibility of finding the best design among all the available choices. Furthermore, the design values for the selected solution were obtainable components. Originality/value -The authors focus on the general aspect of the discrete optimization approach proposed here. It can also be used by power electronics designers with the help of additional constraints in accordance with their specific applications. Furthermore, the use of such non-ideal average models with the multi-objective optimization is the original contribution of the paper and it has not been suggested so far.

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Section: Power Converter Design Optimizationmentioning

confidence: 99%

Bi-objective sizing optimization of power converter using genetic algorithms

Mejbri

Ammous

Abid

et al. 2013

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

View full text Add to dashboard Cite

show abstract

“…Moreover, the solution to the problems of reduction of electromagnetic interference (EMI) and improvement of converter efficiency is also carried out in [6], [7]. According to Seeman and Sanders [8], lagrangian function used for the optimization while augmented Lagrangian method was used in [9] quadratic programming [10], Monte Carlo [11] are also applied for converter design optimization for end applications.…”

Section: Introductionmentioning

confidence: 99%

Grey wolf optimizer for the design optimization of a DC-DC boost converter

Jyoti Saharia,

Sarmah

2023

Bulletin EEI

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Design optimization of a DC-DC boost converters for minimizing overall operational losses is the problem under study. The optimum design contains selecting the best value of circuit inductance, capacitance, and switching frequency for the continuous conduction mode (CCM) operation. The design constraints selected are the current ripple content, ripple content of voltage, and bandwidth for operation in CCM. Grey wolf optimizer (GWO) algorithm is implemented for the boost DC-DC converter’s optimal design. The comparative investigation of algorithms reveals that GWO outperforms other established optimization algorithms like the particle swarm optimization (PSO), moth flame optimization (MFO) algorithm, simulated annealing (SA) and firefly algorithm (FFA) in terms of convergence time, computational effort, and the minimized system losses while finding the most efficient design of the converter. Parametric study on statistical performance indicates that the GWO algorithm outperforms the rest of the optimization algorithms on comparing with previously reported results. The optimized results obtained in the current work provides and improved converter design with reduction in the power loss in the optimized design of the converter by over 15% from previously reported works.

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“…Numerical optimization of con verter designs involving a large number of design variables can also be found-in [5,6,7]. This paper re-examines the subject of mini mization of total converter loss by employing a different approach from those previously presented.…”

Section: Introductionmentioning

confidence: 99%

Parametric study of minimum converter loss in an energy-storage DC-to-DC converter

Wong

Owen

Wilson

1982

1982 IEEE Power Electronics Specialists Conference

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Through a combination of analytical and numer ical minimization procedures, a converter design that results in the minimum total converter lossincluding core loss, winding loss, capacitor-ESR loss, and various losses in the semiconductor switches -is obtained. Because the initial phase involves analytical minimization, the com putation time required by the subsequent phase of numerical minimization is considerably reduced in this combination approach.The effect of various loss parameters on the optimum values of the design variables is also examined. 411 0275-9306/82/0000-0411$00.75 o 1982 IEEE

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Design optimization for a half-bridge DC-DC converter

Cited by 8 publications

References 2 publications

Bi-objective sizing optimization of power converter using genetic algorithms

Bi-objective sizing optimization of power converter using genetic algorithms

Grey wolf optimizer for the design optimization of a DC-DC boost converter

Parametric study of minimum converter loss in an energy-storage DC-to-DC converter

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