Automated Design of Electrical Converters with Advanced AI Algorithms by Zhang, Xin; Li, Xinze; Ma, Hao;

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Product details:

Edition number 2023
Publisher Springer Nature Singapore
Date of Publication 23 April 2024
Number of Volumes 1 pieces, Book

ISBN 9789819904617
Binding Paperback
See also 9789819904587
No. of pages210 pages
Size 235x155 mm
Language English
Illustrations XIV, 210 p. 158 illus., 155 illus. in color. Illustrations, black & white

Long description:

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.

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.

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