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Model Establishment and Performance Assessment for Active Regenerative Braking System of Electric Vehicles

並列摘要


The objective of this study was to research and develop a braking system for electric vehicles by using modeling and experiment methods as well as to assess the performance of this system. First, vehicle dynamic information was employed to develop components for various braking systems. Subsequently, the components were used to develop active brake and passive brake models, and regenerative energy was optimized using rule-based control. Finally, the regenerative efficiency was analyzed. Regarding passive brakes, mechanical braking was adopted to stop vehicles, and the shortages of braking force were compensated using regenerative braking. Conversely, concerning active brakes, regenerative braking was employed to stop vehicles, and the shortages of braking force were compensated using mechanical braking. Physical models developed in this study included high-power motors, high-power lithium batteries, mechanical braking models, and regenerative braking models. To prevent exceedingly high power during the regeneration process from reducing battery life, a regenerative power protection mechanism was created using the iteration method. The global search method was adopted to identify the optimal regenerative braking power. Brake data measurements made using the chassis dynamometer and simulation comparisons showed that the deviation between the actual and simulation braking energy was merely 1.14%, indicating that the physical model developed in this study can represent actual braking systems. To assess the energy recovery efficiency of active regenerative braking, two types of driving cycle, namely the Economic Commission of Europe (ECE) and the federal test procedure (FTP) of the United States Environmental Protection Agency, were used in simulations in this study. For the FTP-type driving cycle, the energy recovery efficiency were 24.05% and 3.489% for active and passive brakes, respectively. For the ECE-type driving cycles, the energy recovery efficiency were 32.92% and 2.786% for active and passive brakes, respectively. These results revealed that the active brake designed in this study features benefits such as optimal energy recovery and can extend the travel distance of electric vehicles.

被引用紀錄


鍾奕帆(2014)。小型人形機器人之籃球訓練平台〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2014.01186
蔡宛純(2014)。非氟素疏水性PU樹脂在織物撥水功能的應用與研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2014.00228
Yu, C. S. (2010). 應用於多重熱源之平板熱管熱傳分析 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2010.00563
張瑞杰(2009)。變幅波動與GARCH模型之波動預測績效比較—台灣加權股價指數之實證〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2009.00218
Chang, Y. Y. (2008). 文本式同步電腦媒介溝通與語言學習成效之研究 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2008.00003

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