應用永磁同步馬達完成豐田複合電動系統操作功能之模擬與探討

Simulation and Study of Permanent Magnet Synchronous Motor to fulfill the Functionality of Toyota Hybrid System

黃輔文(Fu-Wen Huang)

指導教授 ： 鐘證達

國立虎尾科技大學/工程學院/車輛工程系碩士班/碩士(2015年)

摘要

近年來，具有環保概念的複合電動車日益受到重視，吸引研究人員相繼投入相關的研究領域。而目前各種馬達在不同的控制方式下的比較，尤以永磁同步馬達的整體效率與功率較其他形式的馬達為高。而本論文研究的目的，在於探討利用高效率永磁同步馬達完成豐田複合電動車操作功能的可行性，首先對豐田複合電動系統之結構及操作特性作一介紹，並藉CASPOC模擬軟體進行其起步加速的操作模擬，並驗證系統穩定性；接著對永磁同步馬達向量控制模式作原理說明及利用CASPOC進行模擬。最後以機車為例，提出一具雙轉子永磁同步馬達，且可完成豐田複合電動系統操作功能之新型複合電動系統架構。

關鍵字

複合電動系統 ； 永磁同步馬達 ； 向量控制

並列摘要

The Hybrid Electric Vehicle have been attracted extensive attention from researchers of related fields in recent years because of environmental concerns. Many research works were carried out for the various motors operating under different conditions. The Permanent Magnet Synchronous Motor (PMSM) is observed to possess the inherent advantages of high efficiency PMSM for fulfilling the operation functionality of the Toyota HEV. The overall structure and operating characteristics of the Toyota Hybrid System (THS) are introduced and simulated by CASPOC software. Then the vector control principle of PMSM is described and simulated by CASPOC. Finally, a new hybrid electric motorcycle that consists of a two-rotor PMSM is proposed, and capable of achieving the operating function of the well-known Toyota Hybrid System.

並列關鍵字

Hybrid System ； PMSM ； Vector Control

參考文獻

[1]M. Ehsani, Y. Gao and A. Emadi “Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design” SE, CRC Press, 2010, pp. 141-150

[3]D. Hermance and S. Sasaki. “Hybrid Electric Vehicles Takes to The Streets” IEEE Spectrum, v 35, n 11, 1998, pp. 48-53.

[4]H. Endo, M. Ito, and T. Ozeki, Development of Toyota’s transaxle for mini-van hybrid vehicles, JSAE Review, Vol. 24, 2003, pp.109-116.

[5]J. M. Miller, "Hybrid Electric Vehicle Propulsion System Architectures of the eCVT Type," IEEE Transactions on Power Electronics, vol. 21, no. 3, 2006, pp. 756-767.

[7]Danil V. Prokhorov. “Toyota Prius HEV Neurocontrol and Diagnostics,” Neural Networks 21 (2008), 2008, pp. 458-465.