Topology Optimization and AI-based Design of Power Electronic and Electrical Devices: Principles and Methods

Topology optimization and AI-based design of power electronic and electrical devices are essential for commercial development. This book outlines principles and foundations in finite element methods, discusses parameter optimization and topology optimization, and concludes with AI-based design methods.

Format: Paperback / softback
Length: 382 pages
Publication date: 18 January 2024
Publisher: Elsevier Science & Technology

The field of topology optimization and AI-based design of power electronic and electrical devices holds immense significance in the evolving design methodology, particularly as it progresses towards commercialization. This encompasses a wide range of electrical devices, such as traction motors for electric motors, transformers, inductors, reactors, and power electronics circuits.

This comprehensive book begins by providing an introduction to electromagnetism and computational electromagnetics, emphasizing their role in optimal design. It then delves into the principles and foundations of finite element methods, showcasing numerical techniques that are invaluable for finite element analysis. The book summarizes the principles of deterministic and stochastic optimization methods, encompassing genetic algorithms, CMA-ES, and simulated annealing, particularly for quantum and quantum-inspired optimization. Representative algorithms are also discussed in detail.

Moving forward, the book explores parameter optimization and topology optimization of electrical devices, highlighting current implementations such as magnetic shields, 2D and 3D models of electric motors, and wireless power transfer devices. Furthermore, it concludes with a comprehensive exposition of AI-based design methods. These methods include surrogate models for optimization, Bayesian optimization, direct inverse modeling, deep neural networks, explainable AI, variational autoencoder, and integrated design methods utilizing Monte Carlo tree searches for electrical devices and circuits.

By leveraging topology optimization and AI-based design, researchers and engineers can unlock new possibilities in the development of efficient, reliable, and sustainable power electronic and electrical devices. This field holds the potential to revolutionize the industry, driving innovation and progress toward a more sustainable and energy-efficient future.

Weight: 450g
Dimension: 229 x 152 (mm)
ISBN-13: 9780323991667