123,99 €
Presents applied theory and advanced simulation techniques for electric machines and drives This book combines the knowledge of experts from both academia and the software industry to present theories of multiphysics simulation by design for electrical machines, power electronics, and drives. The comprehensive design approach described within supports new applications required by technologies sustaining high drive efficiency. The highlighted framework considers the electric machine at the heart of the entire electric drive. The book also emphasizes the simulation by design concept--a concept that frames the entire highlighted design methodology, which is described and illustrated by various advanced simulation technologies. Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives begins with the basics of electrical machine design and manufacturing tolerances. It also discusses fundamental aspects of the state of the art design process and includes examples from industrial practice. It explains FEM-based analysis techniques for electrical machine design--providing details on how it can be employed in ANSYS Maxwell software. In addition, the book covers advanced magnetic material modeling capabilities employed in numerical computation; thermal analysis; automated optimization for electric machines; and power electronics and drive systems. This valuable resource: * Delivers the multi-physics know-how based on practical electric machine design methodologies * Provides an extensive overview of electric machine design optimization and its integration with power electronics and drives * Incorporates case studies from industrial practice and research and development projects Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives is an incredibly helpful book for design engineers, application and system engineers, and technical professionals. It will also benefit graduate engineering students with a strong interest in electric machines and drives.
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Seitenzahl: 417
Veröffentlichungsjahr: 2017
IEEE Press445 Hoes Lane Piscataway, NJ 08854
IEEE Press Editorial BoardTariq Samad, Editor in Chief
Giancarlo Fortino
Xiaoou Li
Ray Perez
Dmitry Goldgof
Andreas Molisch
Linda Shafer
Don Heirman
Saeid Nahavandi
Mohammad Shahidehpour
Ekram Hossain
Jeffrey Nanzer
Zidong Wang
MARIUS ROSU
PING ZHOU
DINGSHENG LIN
DAN IONEL
MIRCEA POPESCU
FREDE BLAABJERG
VANDANA RALLABANDI
DAVID STATON
Copyright © 2018 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
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ISBN: 978-1-119-10344-8
Acknowledgments
Preface
Readers' Advantage
Chapter Description
Framing the Multiphysics Design Methodology
CHAPTER 1 Basics of Electrical Machines Design and Manufacturing Tolerances
1.1 Introduction
1.2 Generic Design Flow
1.3 Basic Design and How to Start
1.4 Efficiency Map
1.5 Thermal Constraints
1.6 Robust Design and Manufacturing Tolerances
References
CHAPTER 2 Fem-Based Analysis Techniques for Electrical Machine Design
2.1 T–Ω Formulation
2.2 Field-Circuit Coupling
2.3 Fast Ac Steady-State Algorithm
2.4 High Performance Computing—Time Domain Decomposition
2.5 Reduced Order Modeling
References
CHAPTER 3 Magnetic Material Modeling
3.1 Shape Preserving Interpolation of
B–H
Curves
3.2 Nonlinear Anisotropic Model
3.3 Dynamic Core Loss Analysis
3.4 Vector Hysteresis Model
3.5 Demagnetization of Permanent Magnets
References
CHAPTER 4 Thermal Problems in Electrical Machines
4.1 Introduction
4.2 Heat Extraction Through Conduction
4.3 Heat Extraction Through Convection
4.4 Heat Extraction Through Radiation
4.5 Cooling Systems Summary
4.6 Thermal Network Based on Lumped Parameters
4.7 Analytical Thermal Network Analysis
4.8 Thermal Analysis using Finite Element Method
4.9 Thermal Analysis Using Computational Fluid Dynamics
4.10 Thermal Parameters Determination
4.11 Losses in brushless permanent magnet machines
4.12 Cooling Systems
4.13 Cooling Examples
References
CHAPTER 5 Automated Optimization for Electric Machines
5.1 Introduction
5.2 Formulating an Optimization Problem
5.3 Optimization Methods
5.4 Design of Experiments and Response Surface Methods
5.5 Differential Evolution
5.6 First Example: Optimization of an Ultra High Torque Density PM Motor for Formula E Racing Cars: Selection of Best Compromise Designs
5.7 Second Example: Single Objective Optimization of a Range of Permanent Magnet Synchronous Machine (PMSMS) Rated Between 1 kW and 1 MW Derivation of Design Proportions and Recommendations
5.8 Third Example: Two- and Three-Objective Function Optimization of a Synchronous Reluctance (SYNREL) and PM Assisted Synchronous Reluctance Motor
5.9 Fourth Example: Multi-Objective Optimization of PM Machines Combining DOE and de Methods
References
CHAPTER 6 Power Electronics and Drive Systems
6.1 Introduction
6.2 Power Electronic Devices
6.3 Circuit-Level Simulation of Drive Systems
6.4 Multiphysics Design Challenges
References
Index
IEEE Press Series on Power Engineering
EULA
Chapter 1
Table 1.1
Table 1.2
Table 1.3
Table 1.4
Table 1.5
Table 1.6
Table 1.7
Table 1.8
Table 1.9
Table 1.10
Table 1.11
Table 1.12
Table 1.13
Table 1.14
Table 1.15
Table 1.16
Table 1.17
Table 1.18
Chapter 2
Table 2.1
Table 2.2
Table 2.3
Table 2.4
Table 2.5
Table 2.6
Chapter 3
Table 3.1
Table 3.2
Table 3.3
Table 3.4
Table 3.5
Table 3.6
Chapter 4
Table 4.1
Table 4.2
Table 4.3
Table 4.4
Table 4.5
Table 4.6
Table 4.7
Table 4.8
Chapter 5
Table 5.1
Table 5.2
Table 5.3
Table 5.4
Chapter 6
Table 6.1
Table 6.2
Cover
Table of Contents
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Electric machines are being used in wide and novel applications throughout the world, driven by the need for greater power efficiency in the transportation, aerospace and defense, and industrial automation markets. The automotive sector is driven by the need for hybrid and electric vehicle technology to meet ever-stringent miles-per-gallon standards. The aerospace and defense sectors are focused on replacing existing power transfer technologies in an aircraft such as the central hydraulic system, with fault-tolerant electric power, where major subsystems such as engine starting, primary flight control actuation, pumps, and braking would be controlled and driven electronically. In the US industrial sector, over 40 million electric motors convert electricity into useful work in manufacturing operations. Industry spends over $30 billion (US) annually on electricity, dedicated to electric motor-driven systems that drive pumps, fan and blower systems, air compression, and motion control. Globally, 42% of all electricity is used in power industries, where two-thirds of this is consumed by electric motors. There is a clear global demand for a comprehensive design methodology to support these new applications and satisfy power efficiency requirements.
With the present trend of global industrial automation, the application of electric drive systems (including power electronics and drive control) is expected to grow rapidly in the next decade. In the automotive sector, the utilization of power electronics and their control to drive electric motors can significantly contribute to control environmental pollution. In addition, intensive environmentally clean photovoltaic and wind energy resources also show a bright future.
As part of electric drive systems, the power semiconductor devices at the heart of modern power electronics are under continuous development. The improved technology in semiconductor processing, device fabrication, and packaging to produce high-density, high-performance, high-reliability, and high-yielding microelectronic chips, together with new semiconductor material discovery, made possible significant reduction in energy consumption, driving these systems to an incredible economical price.
Without doubt, these achievements force the control strategy techniques to evolve rapidly to the newly created drive conditions and adapt to the overall systems performance requirements. In recent years, soft switching converters became the center of interest when compared with more conventional hard switching converters due to their major advantages such as:
Minimization of switching loss
Improved efficiency
Improved reliability due to soft stress
Reduced electromagnetic emission
The continuous growing interest in the electric drive area relates to the intelligent power electronics modules, where the power and the control are embedded in the same package and interface directly with logic signals. For variable frequency drives, the converter modules and control are mounted directly on the machine for the low and medium power applications.
The book is mainly addressed to design engineers, application engineers, technical professionals, and graduate engineering students with a strong interest in electric machines and drives.
The comprehensive design approach described in this book supports new applications required by technologies, sustaining high drive efficiency. The highlighted framework considers the electric machine at the heart of the entire electric drive. The book delivers the multiphysics know-how based on practical electric machine design methodologies. Simulation by design concept elevated in the book constitutes the new paradigm that frames the entire highlighted design methodology, which is described and illustrated by various advanced simulation technologies.
Throughout this book, we apply knowledge of design best practices into multiphysics and multidomain simulation processes to address a complete electrical machine and drive design.
In the face of global competition, electric machine manufacturers, like manufacturers in most industries, are searching for ways to reduce cost, optimize designs, and deliver them quickly to market. Companies able to achieve these objectives hold a competitive advantage in the marketplace. The ability to predict design performance with simulation software without the time and expense of constructing prototypes plays a significant role in creating this competitive advantage.
Several computation approaches are available to predict electric machine performance, including classical closed-form analytical analysis, lumped parameter models based on the determination of detailed parameters from finite element analysis, and nonlinear time-domain finite element analysis. Each method has advantages and disadvantages. Selecting the best method may not be straightforward because it requires the user to understand the differences among the calculation methods. The fundamental issue differentiating these methods is the trade-off among model complexity, accuracy, and computing time. Engineers use a combination of these calculation techniques as the optimal solution to simulate electric machine performances.
This collaborative work brought together a group of experts from both academia and software industry with strong expertise on electrical machine design and manufacturing. The main idea that fueled our initiative and commitment to make this project a reality was to bring back to the engineering and academic communities a comprehensive expertise and validated know-how on designing electrical machines by simulation.
The advancements in modern digital computers brought CAD (computer-aided design) and CAE (computer-aided engineering) tools at the heart of virtual prototyping, reducing the time to design and market and saving cost by reducing and eliminating the physical prototyping need. The embedded 3D-physics design into drive system coupling with the power electronics and control algorithms enables the electric drive community to accurately predict the efficiency and performance of the electrical machine at the heart of the entire drive system.
Without doubt, the design of a simulation model—a virtual prototype—can help tremendously the engineers to build confidence on validating the required technical specifications making critical decisions on design realization and understanding the level of design complexity considering inter-dependencies and design parameter variations, and collaboratively to examine strategic choices for optimization and robustness.
This chapter discusses fundamental aspects of the state-of-the-art design process and includes examples from industrial practice and case studies to introduce basic concepts and methods. This chapter emphasizes the basic steps in designing a typical electrical machine using power traction application as an example. The chapter starts with magnetic sizing steps and it extends the basic design to thermal constraints. Typical electric motor characteristics used in traction applications such as efficiency map of standardized driving cycles are considered to highlight the electric motor sustainability on dynamic performance. The chapter concludes with the robust design analysis framing a methodology that applies stochastic analysis to study manufacturing tolerances.
In this chapter, a detailed description of finite element method (FEM) employed in ANSYS Maxwell software is presented. The numerical technique developed to account for eddy currents in conductive domains on configurations that involve rigid motion is presented, the numerical technique related to multiply connected regions is highlighted, and it also presents the algorithms used for nonlinear iterations and strategies to accelerate the nonlinear convergence. Filed-circuit coupling technology is explained and specific algorithms used to reduce the computation time to reach steady-state conditions are described. High-performance computing (HPC) is a key technology, increasing the capacity of solving large design spaces and reducing significantly the total time computation by solving the time steps on magnetic transient problem simultaneously rather than sequentially. All technologies highlighted in this chapter are explained through sets of case studies.
This chapter introduces advanced magnetic material modeling capabilities employed in numerical computation. From isotropic nonlinear characteristics to anisotropic behavior corresponding to grain-oriented magnetic materials, the chapter describes the implementation aspects and detailed modeling techniques. Lamination topologies are considered based on special modeling technique with emphasis on core loss computation. Advanced magnetic modeling on vector magnetic hysteresis is presented and specific case studies are used to highlight the computational merits.
In this chapter, the heat generation and extraction in electrical motors are investigated. Using the three thermal paths—conduction, convection, and radiation—an electromagnetic device can be cooled within the acceptable limits for the environment and corresponding application. A highly efficient electrical machine is required in most industrial fields, but the high efficiency is not telling us the full story of a good motor performance. The losses—electromagnetic and mechanical—must be dissipated from the machine into the ambient and the mode in which the cooling system manages to do that represents the key in a reliable and high-performance electrical machine. Within the chapter, the theoretical aspects of thermal management are illustrated with a state-of-the-art collection of practical examples for cooling electrical machines published in the literature.
This chapter discusses optimization as applied to electrical machine design. Some commonly used optimization methods are explained. Case studies illustrating the utility of systematic design optimization to compare different machine topologies, to develop design rules, and to quantify the effect of different design features are included.
This chapter describes the entire drive system from semiconductor as the main component of any modern power electronics circuit to more complex topologies that include active components to rectify the energy, reduce harmonic distortions, and correct power factors in various drive systems. Electrical machines need drive systems to be correctly controlled if they need to be operated at variable speed. This can be achieved by modulating the energy flow to/from them. The chapter also highlights the need of multiphysics studies for such designs to account for thermal analysis under certain cooling conditions. For instance, inverter modules need a careful design approach as losses vary continuously during normal operation. Poor thermal management can lead to overheating and thus degrade the reliability of the components.
The electric machine is a very complex device, being multidomain by nature involving electromagnetics, thermal, and mechanical aspects. The multiphysics methodology built around the core of electric machine design encompasses a systematic approach to develop a platform where comprehensive analysis is the key to understand and design a complex drive system to predict their performances and analyze their robustness. The multiphysics simulation technology enables users to design, analyze, and deliver efficient, optimized electric machine and drive designs.
As shown in Figure 1, the first step in the overall workflow is to develop design requirements. Those requirements may be created within a particular design organization, or they may be provided from a purchaser of the electric machine. Requirements may include machine speed, output power, input power, torque, efficiency, thermal properties, weight, size, etc. At this stage, motor sizing and model creation take place, where many motor configurations may be considered. Often, engineers will use classical, closed-form analytical methods to select appropriate motor configurations that will meet requirements. In a similar manner, both magnetic and thermal designs can be evaluated using template-based approaches that are using such closed-form analytical methods. At the end of this stage, the designer acquires knowledge about the most suitable motor topology to fulfill the level of technical specifications with a degree of confidence on practical realization.
Figure 1 Multiphysics design methodology.
At the second stage of the workflow with the set of knowledge already acquired, accurate and detailed motor studies using 2D and 3D finite element analysis are performed. This important step in the design process further qualifies electromagnetically the topologies selected by the magnetothermal sizing analysis. Various design characteristics are numerically evaluated employing cutting-edge techniques, for example, permanent magnet demagnetization due to irreversible temperature effect, power electronics switching loss effect on electric motor core-loss, efficiency and power loss maps.
The thermal study can be developed similar to electromagnetic analysis as a separate design simulation or in connection with electromagnetic solution. With feedback from electromagnetic losses from either template-based solution or finite element analyses, the thermal study can be migrated from simple temperature rise computation based on thermal conduction to more complex studies involving computational fluid dynamics (CFD), where convection and radiation are considered. In such configurations, detailed cooling systems can be evaluated and optimized. Speeding up the entire thermal profile prediction is a key in the overall design process, that provides with design alternatives as,
– Creating an equivalent thermal model (ETM) for motor topology to be used within CFD environment to build around it the physical cooling system configuration with focus on outside enclosure optimization analysis or,
– Coupling detailed finite element-based integrated losses with thermal simulation model to accurately predict temperature profile, fluid flow, and its velocity within various parts of the entire assembly.
The final stage of the proposed workflow relates to mechanical design and manufacturability. Although this step follows electromagnetic and thermal analyses, the structural simulation can be performed any time during the multiphysics design process with emphasis on specific mechanical analyses, for example, deformation studies, noise vibration, and structural dynamics analysis, to more complex induced thermal stress and magnetostrictive analyses.
This simulation framework allows the engineer to understand the electrical, thermal, structural, and acoustical behavior of the design, considering electric motor as an independent component or part of an electric drive system including power electronics. Finally, the motor design is considered in the broader context of its power control unit and integration with other systems.
The flexibility of such a design flow is provided by the data exchange among all physics involved, providing various design adoption alternatives.
The multiphysics design flow can be further detailed at each and every individual stage. In spite of this granularity, the Chapter 1 will focus on Stage I regarding the generic design flow for topology selection during a motor design to examine the process of basic design.
Marius RosuPing ZhouDingsheng LinDan IonelMircea PopescuFrede BlaabjergVandana RallabandiDavid Staton
The authors are grateful for the tireless efforts, assistance, and guidance of the Wiley-IEEE Press editorial staff who brought to reality this book project.
We are thankful to the many colleagues who provided technical insights, comments, and suggestions.
We are especially indebted to our partners, collaborators, and customers who supported and diligently demanded continuous progress on software technology enabling us to thriving innovation.
We owe a great debt of gratitude to our families for their unconditional support and continuous encouragements.
This book could not be written to its fullest without ANSYS Inc.'s support and continuous engagement for which we are grateful.
Recent progress in the area of electric machines, including new materials, manufacturing technologies, and conceptual topologies, require a systematic design approach to ensure improved performance and/or reduced cost for new developments. This chapter discusses fundamental aspects of the state-of-the-art design process and includes examples from industrial practice and case studies in order to introduce basic concepts and methods.
Traditionally, the core of electric machines is manufactured by punching and stacking thin laminations of cold rolled or silicon steel, as illustrated in Figure 1.1 [1]. Even with the rotor laminations nested inside the stator ones, the process results in a relatively large amount of steel being scraped due to the slots and outer stator profile. Depending on the machine type and design topology, in the rotor, permanent magnets (PM) maybe inserted or attached to the core, an electrically conductive cage maybe die-cast from aluminum, for example, or a winding (not applicable for the design shown in Figure 1.1) maybe inserted. The stator typically incorporates a collection of coils made of conductive wires separated by electrical insulation and forming a winding. A multiphase distributed winding, such as the one exemplified in Figure 1.1, maybe manufactured by automatically producing the coils and then inserting them into the core, in a process that has high through output, and results in a relatively high ratio of net conductor per slot area, that is, slot fill factor, but also yields relatively large end coils.
Figure 1.1 Typical steps for the manufacturing of an electric machine, in this case a line-fed permanent magnet (PM) synchronous motor, which includes in the rotor a die-cast aluminum cage.
In order to reduce the scrap of laminated steel, different punching arrangements may be employed. The example shown in Figure 1.2 is particularly advantageous for stator designs with relatively large tooth width and small tooth tips. Modules of core and concentrated coils, each wound around a tooth, can be organized with a single or multiple teeth, formed to shape, and then assembled to produce a stator, such as the three-phase 18-slot design example from Figure 1.2, which is suitable to be used together with a 16-pole PM rotor [2,3].
Figure 1.2 Example of stator modular construction with segmented core and concentrated coils forming a multiphase winding [2,3]. Versions with a single tooth and coil modules are also possible.
At a first look, concentrated windings, especially in a segmented-modular configuration, tightly packed with a high slot fill factor and short end coils maybe superior to more conventional distributed winding machines, particularly for low-speed applications. Nevertheless, before drawing such generic conclusions, systematic comparisons taking into account the power and speed rating, losses, including winding and core components, the electronic controller should be performed following, for example, a large scale automated design process as described in another chapter of the book.
A stator core and winding, and a rotor incorporating a shaft, are assembled together with other components, including bearings, end caps, and frame and terminal box to produce an electric machine, as exemplified in Figure 1.3 for a general-purpose three-phase squirrel-cage induction motor and in Figure 1.4 for PM synchronous motors with stator concentrated and distributed windings, respectively [4]. It should be noted that the use of PM technology typically results in a higher power density than available from induction machines.
Figure 1.3 Exploded view of a general-purpose National Electrical Manufacturers Association (NEMA) frame squirrel-cage induction motor. Courtesy of Regal Beloit Corp.
Figure 1.4 PM synchronous motors with interior permanent magnet (IPM) rotors and concentrated (left) and distributed windings, respectively [4]. Courtesy of Regal Beloit Corp.
A most successful example of combining advanced design techniques, high performance magnetic materials, and enhanced cooling is represented by the recent development of a 100 hp motor for Formula E racing cars [5,6]. This machine shown in Figure 1.5, which employs an 18-slot 16-pole spoke IPM configuration, sets a record for electric traction motors of comparable rating, achieving almost twice the specific torque density per unit of active mass (Nm/kg) than the motor powering the latest generation of the Nissan Leaf electric vehicle.
Figure 1.5 Record-breaking ultra-high density torque 100 hp spoke-type IPM motor for Formula E racing cars showing, from the left, magnetic field in the motor cross section, axial cut view and photo [4,5]. Courtesy of Equipmake, Ltd.
