Two-Step Robust Design of <i>LLC</i> Converter With Corner Judgment and Greedy Algorithm

Wang, Xueyi; Du, Guiping; Wu, Min; Song, Qingliang; Chen, Yu

doi:10.1109/tpel.2021.3139049

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…Domain violations are ubiquitous across process systems engineering applications and pose major challenges to researchers and practitioners of simulation and optimization. − Within the broader context of numerical simulation, domain violations are encountered when a solver attempts to evaluate an expression at a point outside of its defined domain (e.g., divide by zero or take the square-root of a negative number). Hybrid models may pose additional challenges as they may also suffer from violations of their domains of validity.…”

Section: Case Studiesmentioning

confidence: 99%

Semi-Infinite Optimization with Hybrid Models

Wang

Wilhelm

Stuber

2022

Ind. Eng. Chem. Res.

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The robust design of performance/safety-critical process systems, from a model-based perspective, remains an existing challenge. Hybrid first-principles data-driven models offer the potential to dramatically improve model prediction accuracy, stepping closer to the digital twin concept. Within this context, worst-case engineering design feasibility and reliability problems give rise to a class of semi-infinite program (SIP) formulations with hybrid models as coupling equality constraints. Reduced-space deterministic global optimization methods are exploited to solve this class of SIPs to ϵ-global optimality in finitely many iterations. This approach is demonstrated on two challenging case studies: a nitrification reactor for a wastewater treatment system to address worst-case feasibility verification of dynamical systems and a three-phase separation system plagued by numerical domain violations to demonstrate how they can be overcome using a nonsmooth SIP formulation with hybrid models and a validity constraint incorporated.

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Section: Case Studiesmentioning

confidence: 99%

Semi-Infinite Optimization with Hybrid Models

Wang

Wilhelm

Stuber

2022

Ind. Eng. Chem. Res.

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Reliable and optimal design of variable inductor integrated LLC converter

Wu,

Du,

Wang

et al. 2024

Circuit Theory & Apps

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The variable inductor integrated LLC (VI‐LLC) converter is able to operate at constant switching frequency and avoid wide variable frequency range and thus emerged in recent years. However, VI‐LLC converter suffers two reliability problems. First, coupling between the main winding and the control winding of variable inductor (VI) causes negative effects on the converter, which are few considered in the literature. Second, parameter fluctuation (PF) of resonant elements has negative effects on operation and gain reliability of VI‐LLC converter, causing unreliable operation and voltage gain deviation. To solve the above problems, in this paper, a reliable and optimal design methodology of VI‐LLC converter is proposed. First, the coupling effects of VI are introduced and analyzed, with a coupling index proposed to quantify and reduce the coupling effects. Then, negative effects on VI‐LLC converter caused by PF are visualized and eliminated with the filtered parameter space and the redetermined variation range of VI. Based on the above consideration, a reliable final parameter space considering PF effects and the coupling problem is established. Finally, the efficiency space referring to the final parameter space is established based on the loss model of VI‐LLC converter to determine the optimal design candidate. Experimentation has shown a good agreement with theory and proven validity of the proposed design methodology.

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Morphing control strategy of wide input voltage DR‐LLC converter for vehicle power supply

Zheng,

Guo,

Zhao

et al. 2024

IET Power Electronics

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Electric vehicles have experienced substantial global growth. However, significant fluctuations in the output voltage of power batteries and abrupt changes in the input voltage of DC–DC converters pose major challenges to their safety and reliability, thereby impeding sustainable development. This paper proposes a frequency‐prediction‐based topology morphing control strategy (FPTMC) for a dual resonant cavity LLC (DR‐LLC) converter. The strategy aims to accommodate a wide range of input voltages while enhancing the reliability of the vehicle's power supply. Firstly, the topology of the DR‐LLC converter is introduced, utilizing a fundamental wave analysis method for modelling purposes. This analysis results in three distinct voltage gain models corresponding to various topology modes, thereby enabling the converter to manage a wide spectrum of input voltages. Then, a geometrically simplified state plane analysis is employed to derive switching frequency models for the three topology modes, facilitating real‐time prediction of the necessary switching frequency during topology transitions. The proposed control strategy, which relies on frequency prediction, effectively mitigates the problem of voltage spikes during these transitions. Finally, both simulation and experimental results validate the accuracy and feasibility of the proposed wide input voltage control strategy for DR‐LLC converters in vehicle power supply systems.

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Two-Step Robust Design of LLC Converter With Corner Judgment and Greedy Algorithm

Cited by 4 publications

References 15 publications

Semi-Infinite Optimization with Hybrid Models

Semi-Infinite Optimization with Hybrid Models

Reliable and optimal design of variable inductor integrated LLC converter

Morphing control strategy of wide input voltage DR‐LLC converter for vehicle power supply

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