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  • 學位論文

先進串並聯混合動力系統可預測性最佳能量管理發展

Development of Predictive Optimal Energy Management System for Advanced Series-Parallel Hybrid Electrical Vehicles

指導教授 : 楊榮華

摘要


近二十年來,降低油耗以及降低污染已經成為汽車工業最主要的研究目標之ㄧ。由於引擎和馬達之間適當的互動,混合動力車成為交通工具中最熱門的商品。因此,結合引擎以及馬達之間的作動的方法是混合動力車相關研究領域中關鍵的角色。在這篇論文中,我們提出模糊預測控制器以及節能運算器來研究混合動力車。而模擬結果將用來證明控制器的有效性。

並列摘要


In the last two decades, fuel economy and emission reduction have been the major research subjects in automobile industry. Due to appropriate interaction between engine and electrical motor, hybrid vehicle has become a more efficient tool in the transportation systems. Hence, the operation methods for the incorporation of the two subsystems would play a key role in the relevant research field. In this paper, a fuzzy prediction controller incorporated with a fuel economizer for a series hybrid vehicle will be developed. Simulation results are also given to validate the controller.

參考文獻


[1] Naim A. Kheir, Mutasim A. Salman, Niels J. Schouten, “Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic,” Mathematics and Computers in Simulation 66(2004) 155-172.
[3] Lin, C. C., Peng, H., Grizzle, J. W., Liu, J., and Busdiecker, M., “Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck,” SAE Paper 2003-01-3369.
[4] Jeffrey Gonder, Tony Markel, “Energy Management Strategies for Plug-In Hybrid Electric Vehicles,” 2007 World Congress, Detroit, Michigan, April 16-19, 2007.
[5] Bruno Jeanneret, Tony Markel, “Adaptive Energy Management Strategy for Fuel Cell Hybrid Vehicles,” 2004 World Congress, Detroit, Michigan, March 8-11, 2004.
[7] Hyeoun-Dong Lee, Seung-Ki Sul, “Fuzzy-Logic-Based Torque Control Strategy for Parallel-Type Hybrid Electric Vehicle,” IEEE Transactions on Industrial Electronics, Vol. 45, No. 4, August 1998.

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