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研究生: 黎阮燕竹
Yen Truc, Le Nguyen
論文名稱: 以考量電流角及鐵損之新馬達常數進行電動車動力馬達之最佳化研究
Development of A Novel Motor Constant Considering Current Angle and Iron Loss for Optimization of EV Traction Motor
指導教授: 謝旻甫
Hsieh, Min-Fu
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 89
外文關鍵詞: Spoke type permanent magnet motor, IPM motor, magnetic flux leakage, Optimization for EV motor, Current angle consideration for motor constant., Torque enhancement for electric vehicles
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  • Conventional motor constants used for evaluating motor performance and efficiency often overlook the impact of iron loss and current angle. This thesis introduces a novel motor constant definition that incorporates both iron loss, copper loss, and current angle, providing a comprehensive indicator for assessing motor efficiency and performance. To enhance the efficiency and performance of permanent magnet synchronous machines, a holistic consideration of various motor design factors is necessary. However, the utilization of multi-objective optimization methods to maximize motor efficiency presents challenges due to their complex algorithms and extensive computational requirements when combined with finite element analysis. By leveraging the proposed motor constant, including the current angle, the multi-objective optimization problem can be simplified into a single objective optimization, streamlining the optimization process.
    In this research, a Genetic Algorithm (GA) optimization method utilizing the new motor constant, considering the current angle, as the fitness function is employed to identify optimal parameters for the motor stator, thereby maximizing the high-efficiency operating range and high-speed region. The research findings demonstrate the accurate correlation between the new motor constant and motor efficiency, including the effect of the current angle. Furthermore, the Genetic Algorithm optimization method, based on this motor constant, yields optimal motor designs with broader high-efficiency operating ranges. The electromagnetic characteristics of the designed motors are thoroughly investigated and validated through finite element analysis using JMAG software.
    Finally, a 300W spoke type and An IPM 10kW motor, specifically tailored to meet the requirements of EV applications, is fabricated, and tested to assess its performance and validate the accuracy of simulation analysis.
    This study presents a novel motor constant definition that incorporates iron loss, current angle, and copper loss, enabling a comprehensive assessment of motor performance and efficiency. The application of the proposed motor constant, considering the current angle, in the optimization process simplifies the multi-objective optimization problem and leads to enhanced motor designs with broader high-efficiency operating ranges. The research outcomes contribute to the advancement of motor design and optimization techniques, providing valuable insights for the development of high-performance electric motors for various applications.

    Contents Abstract I Acknowledge Ⅲ Contents Ⅳ List of Figures and Tables Ⅵ CHAPTER 1. INTRODUCTION AND LITERATURE REVIEW 1 1.1 Motivation 1 1.2 Research Objectives 3 1.3 Literature Review 5 1.4 Thesis Organization 7 CHAPTER 2. THEORETICAL BACKGROUND 8 2.1 Fundamental Electromagnetic Relations 8 2.2 Mathematical Model of PMSM 10 2.3 Loss in PMSM 18 2.3.1 Copper Losses 18 2.3.2 Iron Loss and PM Loss 19 2.4 Motor Constant 20 CHAPTER 3. BASIC DESIGN OF AN E-BIKE MACHINE 22 3.1 Application Requirement 22 3.2 Motor Specifications 23 3.3 Motor Design 24 3.3.1 The Equivalent Magnetic Circuit of Permanent Magnet Synchronous Motor 25 3.3.2 Determine Motor Dimensions 30 3.3.3 Torque Constant and Back EMF Constant Determination 31 3.3.4 Slot and Poles Combination Selection and Torque per Rotor Volume (TRV) 32 3.3.5 Motor Winding Machine Configuration 34 3.3.6 Rotor Arc Poles Shaping to Reduce Cogging Torque 35 3.3.7 Designing Bridges to Minimize the Occurrence of Leakage Flux 37 3.3.8 Preliminary Design 40 3.3.9 E-bike Motor Weight 45 3.3.10 The Structure Analysis for an E-bike Motor 46 3.3.11 Traction Motor 47 CHAPTER 4. OPTIMIZATION METHOD BASED ON NEW DEFINITION OF MOTOR CONSTANT 53 4.1 The New Definition of The Motor Constant 54 4.2 Genetic Algorithm (GA) Optimization method 58 4.2.1 GA Flowchart 58 4.2.2 Evaluation [22] 59 4.2.3 Selection 59 4.2.4 Crossover 59 4.2.5 Mutation 60 4.2.6 Termination Criteria 60 4.2.7 Output 60 4.3 Genetic Algorithm (GA) Optimization Method Using New Definition of Motor Constant 60 4.4 Optimization Setting and Simulation Results by Other Motor Constants 63 4.4.1 E-bike Motor 63 4.4.2 Traction Motor 69 4.5 Optimization Result of Performance between Optimized Design by The New Motor Constant 74 4.5.1 E-bike Motor 74 4.5.2 Traction Motor 76 4.6 Comparison Of Performance Between Optimized Designs by the New Motor Constant and Other Motor Constants 78 4.6.1 E-bike Motor 78 4.6.2 Traction Motor 80 CHAPTER 5. MANUFACTURING AND TESTING 82 5.1 Prototype 82 5.2 Back EMF 82 5.3 Rated Load Test 83 5.4 Summary 84 CHAPTER 6. CONCLUSION AND FUTURE WORK 86 6.1 Conclusions 86 6.2 Future Works 86 REFERENCES 88

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