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Automated design of electrical conve...

Zhang, Xin.

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Automated design of electrical converters with advanced AI algorithms

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automated design of electrical converters with advanced AI algorithms/ by Xin Zhang ... [et al.].
other author:	Zhang, Xin.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiv, 210 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Introduction -- The Proposed Automated Optimal Design for Power Switch: A Thermo-Mechanical-Coordinated and Multi-Objective-Oriented Optimization Methodology -- The Proposed Multi-Objective Design of Output LC Filter for Buck Converter via the Coevolving-AMOSA Algorithm -- The Poposed Artificial-Intelligence-Based Design (AI-D) for Circuit Parameters of Power Converters -- The Proposed Efficiency-oriented Two-stage Optimal Design Methodology for Special Power Converter in Space Travelling-Wave Tube Amplifier Applications -- The Proposed AI based Two-stage Optimal Design Methodology for High-efficiency Bidirectional Power Converters in the Hybrid AC/DC Microgrid Applications -- The Proposed Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress -- The Proposed Optimal Design and Heterogeneous Integration of DC/AC Inverter for Electric Vehicle.
Contained By:	Springer Nature eBook
Subject:	Electric current converters - Design and construction. -
Online resource:	https://doi.org/10.1007/978-981-99-0459-4
ISBN:	9789819904594

Automated design of electrical converters with advanced AI algorithms
Automated design of electrical converters with advanced AI algorithms[electronic resource] /by Xin Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiv, 210 p. :ill. (chiefly col.), digital ;24 cm.

Introduction -- The Proposed Automated Optimal Design for Power Switch: A Thermo-Mechanical-Coordinated and Multi-Objective-Oriented Optimization Methodology -- The Proposed Multi-Objective Design of Output LC Filter for Buck Converter via the Coevolving-AMOSA Algorithm -- The Poposed Artificial-Intelligence-Based Design (AI-D) for Circuit Parameters of Power Converters -- The Proposed Efficiency-oriented Two-stage Optimal Design Methodology for Special Power Converter in Space Travelling-Wave Tube Amplifier Applications -- The Proposed AI based Two-stage Optimal Design Methodology for High-efficiency Bidirectional Power Converters in the Hybrid AC/DC Microgrid Applications -- The Proposed Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress -- The Proposed Optimal Design and Heterogeneous Integration of DC/AC Inverter for Electric Vehicle.

A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical vehicles/aeroplanes/ships, smart grids and more. This book will open a door for engineers to design the power converters via the artificial intelligence (AI) method. It begins by reviewing current AI technology in power converters. The book then introduces customized AI algorithms for power converters that take into account the particular characteristics of power converters. The book then presents a set of AI-based design methodologies for power devices, including DC/DC converters, resonant DC/DC converters, bidirectional DC/DC converters, DC/AC inverters, and AC/DC rectifiers. This is the first book to cover all you need to know about using AI to create power converters, including a literature review, algorithm, and circuit design.

ISBN: 9789819904594

Standard No.: 10.1007/978-981-99-0459-4doiSubjects--Topical Terms:

940970
Electric current converters
--Design and construction.

LC Class. No.: TK2796

Dewey Class. No.: 621.317

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505 0 $a Introduction -- The Proposed Automated Optimal Design for Power Switch: A Thermo-Mechanical-Coordinated and Multi-Objective-Oriented Optimization Methodology -- The Proposed Multi-Objective Design of Output LC Filter for Buck Converter via the Coevolving-AMOSA Algorithm -- The Poposed Artificial-Intelligence-Based Design (AI-D) for Circuit Parameters of Power Converters -- The Proposed Efficiency-oriented Two-stage Optimal Design Methodology for Special Power Converter in Space Travelling-Wave Tube Amplifier Applications -- The Proposed AI based Two-stage Optimal Design Methodology for High-efficiency Bidirectional Power Converters in the Hybrid AC/DC Microgrid Applications -- The Proposed Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress -- The Proposed Optimal Design and Heterogeneous Integration of DC/AC Inverter for Electric Vehicle.
520 $a A power converter is a device used in electrical engineering, power engineering, and the electric power sector to convert electric energy from one form to another, such as converting between AC and DC, changing voltage or frequency, or a combination of these. It is used in a variety of applications, such as industrial drives, power supply, energy generating equipment, consumer goods, electrical vehicles/aeroplanes/ships, smart grids and more. This book will open a door for engineers to design the power converters via the artificial intelligence (AI) method. It begins by reviewing current AI technology in power converters. The book then introduces customized AI algorithms for power converters that take into account the particular characteristics of power converters. The book then presents a set of AI-based design methodologies for power devices, including DC/DC converters, resonant DC/DC converters, bidirectional DC/DC converters, DC/AC inverters, and AC/DC rectifiers. This is the first book to cover all you need to know about using AI to create power converters, including a literature review, algorithm, and circuit design.
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