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.
| Preface |
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vii | |
| Acknowledgments |
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xv | |
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Chapter 1 Basics of Electrical Machines Design and Manufacturing Tolerances |
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1 | (44) |
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1 | (2) |
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3 | (1) |
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1.3 Basic Design and How to Start |
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4 | (12) |
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16 | (3) |
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19 | (3) |
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1.6 Robust Design and Manufacturing Tolerances |
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22 | (23) |
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42 | (3) |
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Chapter 2 Fem-Based Analysis Techniques For Electrical Machine Design |
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45 | (64) |
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45 | (11) |
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2.2 Field-Circuit Coupling |
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56 | (14) |
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2.3 Fast AC Steady-State Algorithm |
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70 | (12) |
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2.4 High Performance Computing--Time Domain Decomposition |
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82 | (11) |
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2.5 Reduced Order Modeling |
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93 | (16) |
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106 | (3) |
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Chapter 3 Magnetic Material Modeling |
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109 | (56) |
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3.1 Shape Preserving Interpolation of B--H Curves |
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109 | (6) |
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3.2 Nonlinear Anisotropic Model |
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115 | (10) |
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3.3 Dynamic Core Loss Analysis |
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125 | (12) |
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3.4 Vector Hysteresis Model |
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137 | (13) |
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3.5 Demagnetization of Permanent Magnets |
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150 | (15) |
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162 | (3) |
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Chapter 4 Thermal Problems in Electrical Machines |
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165 | (58) |
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165 | (2) |
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4.2 Heat Extraction Through Conduction |
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167 | (3) |
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4.3 Heat Extraction Through Convection |
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170 | (16) |
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4.4 Heat Extraction Through Radiation |
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186 | (2) |
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4.5 Cooling Systems Summary |
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188 | (1) |
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4.6 Thermal Network Based on Lumped Parameters |
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188 | (4) |
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4.7 Analytical Thermal Network Analysis |
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192 | (1) |
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4.8 Thermal Analysis Using Finite Element Method |
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193 | (2) |
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4.9 Thermal Analysis Using Computational Fluid Dynamics |
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195 | (5) |
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4.10 Thermal Parameters Determination |
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200 | (2) |
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4.11 Losses in Brushless Permanent Magnet Machines |
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202 | (8) |
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210 | (4) |
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214 | (9) |
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218 | (5) |
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Chapter 5 Automated Optimization For Electric Machines |
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223 | (28) |
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223 | (1) |
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5.2 Formulating an Optimization Problem |
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224 | (2) |
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226 | (2) |
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5.4 Design of Experiments and Response Surface Methods |
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228 | (5) |
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5.5 Differential Evolution |
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233 | (1) |
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5.6 First Example: Optimization of an Ultra High Torque Density PM Motor for Formula E Racing Cars: Selection of Best Compromise Designs |
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234 | (4) |
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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 |
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238 | (3) |
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5.8 Third Example: Two- and Three-Objective Function Optimization of a Synchronous Reluctance (SYNREL) and PM Assisted Synchronous Reluctance Motor |
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241 | (4) |
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5.9 Fourth Example: Multi-Objective Optimization of PM Machines Combining DOE and DE Methods |
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245 | (3) |
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248 | (3) |
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248 | (3) |
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Chapter 6 Power Electronics and Drive Systems |
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251 | (32) |
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251 | (2) |
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6.2 Power Electronic Devices |
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253 | (11) |
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6.3 Circuit-Level Simulation of Drive Systems |
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264 | (10) |
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6.4 Multiphysics Design Challenges |
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274 | (9) |
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281 | (2) |
| Index |
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283 | |
Marius Rosu, PhD, is Lead Product Manager for the Electromechanical Product Line at Electronic Business Unit (EBU) of ANSYS Inc., USA.
Ping Zhou, PhD, FIEEE, is Director of Research and Development at Electronic Business Unit (EBU) of ANSYS Inc., USA.
Dingsheng Lin, PhD, is a Principal Research and Development Engineer at Electronic Business Unit (EBU) of ANSYS Inc., USA.
Dan Ionel, PhD, FIEEE, is Professor of Electrical Engineering and L. Stanley Pigman Chair in Power at University of Kentucky, Lexington, KY.
Mircea Popescu, PhD, FIEEE, is Head of Engineering of Motor Design Ltd., U.K., a company that develops software for the analysis and design of electrical machines.
Frede Blaabjerg, PhD, FIEEE, is a Professor in Power Electronics and Villum Investigator the Department of Energy Technology at Aalborg University, Denmark.
Vandana Rallabandi, PhD, is a Post-doctoral Researcher in the SPARK Laboratory, Electrical and Computer Engineering Department, University of Kentucky, Lexington, KY.
David Staton, PhD, is President and Founder of Motor Design Ltd, UK, a company that develops software for the analysis and design of electrical machines.
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