近年來全球暖化效應導致氣候變遷及雨林區快速消失，造成新能源汽車快速發展，世界工業大國預測於2030年，新能源汽車總數將成長到一億二千萬輛以上。新能源汽車生產成本以電池儲能系統及驅動動力系統為最大佔比，在固定車載電池容量下，必須追求高效率及性能為目標，故驅動馬達必須具備高輸出轉矩、功率密度、運轉速度及效率之基本要件。中小型電動車市場所採用之驅動馬達以永磁內置式同步電機為主，此型馬達具高效率、高凸極比及寬廣運轉速度範圍。
本論文針對永磁內置式車用驅動馬達進行分析，因其轉子形狀直接影響整體性能，而轉子中永磁可有多種擺放方式及位置，目前較常採用V型、▽型及U型結構進行設計，論文中先比較分析各基本型式之轉子設計。接續選擇高功率密度的BMW i3系列驅動馬達為分析範例，根據其專利內容為逆向工程分析基礎，推導高性能驅動馬達之核心設計參數，整理後提出一套永磁電機快速設計與優化流程，驗證此範例電機之設計優化合理性。最後根據美國國家研究機構ORNL之公開測試數據，進行以商用電磁場分析軟體解析範例電機之設計參數，更採用SmartDO®分析優化軟體，進行轉子結構設計參數之優化分析，確認此範例電機之設計實已達最高功率密度之設計極限值。

In recent years, the global warming effects have led to climate changes and the fast shrinkage in rainforest zones. The solution is to develop new energyVehicles in a faster pace. The G7 countries have been predicting new energyVehicles will grow to more than 120 million units by the year of 2030. The production costs of new energyVehicles are mainly accounted for battery systems and drive-train power systems. At constant battery capacity, higher energy efficiency and Vehicle performance must be met to maintain the progress; therefore, the traction motors must have high power density, output torque, operational speed and average energy efficiency. In the compact electricVehicle market, Interior Permanent Magnet (IPM) motors are dominant in the drive trains because IPM motors have higher saliency ratio, wider operating speed, and higher average energy efficiency.
The objective of this thesis is to analyze IPM motors for electricVehicles especially the rotor geometry since the motor performance relies on the placement of permanent magnets , namely theV-type, ▽-type, and U-type structure. First, comparisons and analysis are made on the Various rotor types. Then, BMW i3 series traction motor with power density close to 9.1 kW/L is chosen for a benchmark example. And comprehensive studies on the key technologies of the benchmark motor are reversely engineered from the BMW patents. Then, the design and optimization procedure are proposed for the benchmark motor to verify the rationale of the design philosophy. Based on the published ORNL test data, pertinent design parameters are optimally analyzedVia reverse engineering method. A commercial optimization software SmartDO® is employed for the rotor design optimization. In conclusion, the design parameters of the benchmark motor has been confiremed to reach the design limit at the peak power density.

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