High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

Sarnago, Héctor; Burdío, J.M.; Lucía, Óscar

doi:10.1109/tpel.2018.2815902

Cited by 26 publications

(20 citation statements)

References 29 publications

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“…In order to power such systems, typically specially designed multiple-output resonant inverters are used. These include combinations of half/full-bridge structures [22], multi-inverter topologies [23], or matrix converters [24].…”

Section: A Flexible Cooking Surfacesmentioning

confidence: 99%

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances

et al. 2019

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Induction heating has become the reference technology for domestic heating applications due to its benefits in terms of performance, efficiency and safety, among others. In this context, recent design trends aim at providing highly flexible cooking surfaces composed of multi-coil structures. As in many other wireless power transfer systems, one of the main challenges to face is the proper detection of the magnetic coupling with the induction heating load in order to provide improved thermal performance and safe power electronic converter operation. This is specially challenging due to the high variability in the materials used in cookware as well as the random pot placement in flexible induction heating appliances. This paper proposes the use of deep learning techniques in order to provide accurate area overlap estimation regardless of the used pot and its position. An experimental test-bench composed of a complete power converter, multi-coil system and real-time measurement system has been implemented and used in this study to characterize the parameter variation with overlapped area. Convolutional neural networks are then proposed as an effective method to estimate the covered area, and several implementations are studied and compared according to their computational cost and accuracy. As a conclusion, the presented deep learning-based technique is proposed as an effective tool to estimate the magnetic coupling between the coil and the induction heating load in advanced induction heating appliances.INDEX TERMS Inductive heating, resonant power conversion, wireless power transfer, deep learning, neural network, electromagnetic design, induction heating, home appliances.

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Section: A Flexible Cooking Surfacesmentioning

confidence: 99%

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances

et al. 2019

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“…Most commonly used topologies are SS AC-AC converter, 27 HF AC-AC converter [28][29][30][31] and FB AC-AC converter. 32,33 The performance of the IH system not only depends on the topology but also the control algorithms, which are used to vary the output power. It plays a vital role in controlling the temperature as per the load requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Single‐stage converters are generally used to convert 50 Hz AC supply to HFAC without any intermediate power conversion. Most commonly used topologies are SS AC‐AC converter, 27 HF AC‐AC converter 28‐31 and FB AC‐AC converter 32,33 …”

Section: Introductionmentioning

confidence: 99%

A comprehensive overview of power converter topologies for induction heating applications

Vishnuram

Gunabalan

Sridhar

et al. 2020

Int Trans Electr Energ Syst

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The concept of induction heating is slowly entrenching as it has the traits of homogeneous heating, zero pollution and higher power density. To achieve these traits convincingly in reality, there is a need to develop energy efficient converter topologies, which aid in achieving power regulation of soft switching and very high frequency operation. This paper presents the salient features of converter topologies used for domestic and industrial heating applications with a focus on its stage-wise power conversion, power density, load handling capacity, soft switching, reliability and size. The performance of these topologies is analysed in terms of converter switching frequency, power rating, modulation techniques, flicker, user performance and efficiency. Moreover, this review paper predicts the future trends associated with the adaptation of wide band-gap power semiconductor materials, multi-output topologies, variable frequency control scheme with minimum losses and filter design to improve source-side power factor. The detailed technology review will be extremely useful for researchers, designers and engineers in choosing the appropriate topology for the chosen application.

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“…However, the development of flexible cooking surfaces has brought an increase of the manufacturing cost due to the increased number of coils and power electronics devices. In order to achieve a cost-effective implementation, some multi-inverter structures have been proposed recently [8][9][10]. However, these structures add control restrictions and complicate the power control in the induction loads [2].…”

Section: Introductionmentioning

confidence: 99%

A front-end PFC stage for improved performance of flexible induction heating appliances

Pérez‐Tarragona

Sarnago

Lucía

et al. 2020

JAE

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Flexible cooking surfaces, eg. fully active surfaces, have gained lately an increasing importance in the domestic induction heating. Multi-inverter structures are a cost-efficient solution to develop this technology. However, they add control restrictions that can be solved with a power factor corrector (PFC) stage as proposed in this work. The proposed converter and modulation strategy work with zero voltage switching (ZVS), decreasing the switching losses, enabling a higher working frequency and, therefore, decreasing the magnetic devices size. The bus voltage is controllable and can be increased, easing the load power control and decreasing current through load and inverter and, so, the power losses. Besides, the switching frequency is constant in the mains cycle and can be modified to synchronize the load inverter and the PFC stage avoiding intermodulation noise. A 3.6 kW prototype has been implemented fulfilling the EMC requirements. The experimental waveforms and efficiency have been measured to prove the feasibility of this proposal.

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High-Performance and Cost-Effective ZCS Matrix Resonant Inverter for Total Active Surface Induction Heating Appliances

Cited by 26 publications

References 29 publications

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances

Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances

A comprehensive overview of power converter topologies for induction heating applications

A front-end PFC stage for improved performance of flexible induction heating appliances

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