Axial Flux Permanent Magnet (AFPM) brushless machines are modern electrical machines with a lot of advantages over their conventional counterparts. This timeless and revised second edition deals with the analysis, construction, design, control and applications of AFPM machines. The authors present their own research results, as well as significant research contributions made by others.

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

The comprehensive reference on synchronous reluctance machines, which offer high power density at low cost and support the electrification in the transport sector. This book, written by top academic and industry experts, covers all topics required to design these machines.

Permanent magnet synchronous machines (PMSMs) with rare-earth magnets are widely used especially in traction applications as a result of their higher efficiency and torque density in comparison with other electrical motors. Due to price fluctuations and limited production of rare-earth materials, it is essential to find alternatives to the rare-earth PMSMs for different applications. This thesis focuses on the application of Aluminum-Nickel-Cobalt (AlNiCo) magnets in PMSMs. AlNiCo magnets can theoretically provide torque densities comparable to rare-earth magnets in electrical machines. The application of AlNiCo magnets in electrical machines can improve the field-weakening performance, due to the possibility of varying their magnetic flux density using armature current pulses. As a result, these machines are named variable flux machines (VFMs). This thesis presents an analytical model for the VFM to calculate the no-load air gap flux density and consequently, the no-load back-EMF, torque peak to peak value, average torque, and magnetization current. The proposed model is used to develop an analytical design criterion for spoke type AlNiCo-based VFMs. An experimental characterization of an existing spoke type VFM at different magnetization levels is done of the torque waveform, the torque-angle characteristics, the no-load back-EMF and the magnetization/demagnetization energy. An optimization procedure to reduce the torque ripple and the magnetization current of the spoke type AlNiCo-based VFM is then proposed. A new VFM design with radially magnetized interior magnets is presented to enhance the torque density in the field-weakening operating condition. The torque-speed and power-speed characteristics of the VFM are calculated considering the demagnetization of the AlNiCo magnets in the field-weakening region. The proposed design keeps the fully magnetized condition at both no-load and full-load conditions and provides high power densities at a wider speed range. This design is also optimized to have reduced torque ripple. An improved core loss model is proposed and implemented in the finite element software, and an experimental method based on the flux controllability of the VFM is developed to measure the mechanical and core losses at the no-load condition. These results are then used to verify the proposed core loss model.

This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.

This book is a comprehensive set of articles reflecting the latest advances and developments in mathematical modeling and the design of electrical machines for different applications. The main models discussed are based on the: i) Maxwell–Fourier method (i.e., the formal resolution of Maxwell’s equations by using the separation of variables method and the Fourier’s series in 2-D or 3-D with a quasi-Cartesian or polar coordinate system); ii) electrical, thermal and magnetic equivalent circuit; iii) hybrid model. In these different papers, the numerical method and the experimental tests have been used as comparisons or validations.