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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李綱(Kang Li) | |
| dc.contributor.author | Bo-Chun Hsu | en |
| dc.contributor.author | 許博鈞 | zh_TW |
| dc.date.accessioned | 2021-05-19T17:55:02Z | - |
| dc.date.available | 2022-02-08 | |
| dc.date.available | 2021-05-19T17:55:02Z | - |
| dc.date.copyright | 2017-02-08 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-10-11 | |
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Lorenz, Trassierung und Gestaltung von Straßen und Autobahnen: Bauverlag, 1971. [37] 周芳杰, '使用車載資通訊之電動車智慧節能行駛技術之研究,' 2013. [38] 顏良喜, '運用車載資通訊技術之插電式混合動力電動車智慧化力矩分配策略研究,' 2015. [39] 孫允中, '多動力元件組合之插電式串並聯式複合動力電動車能量管理研究,' 2016. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/7827 | - |
| dc.description.abstract | 本論文針對插電式混合動力電動車(PHEV)之智慧節能行車技術進行研究，以期提升插電式混合動力車之行駛效能，藉以增加續航力與競爭力。本研究提出一套以巡航控制為基礎之節能行車控制方法，此方法透過調節傳統定速巡航控制系統之參考車速，以改變PHEV動力系統之動態負載，此行車控制系統根據地形變化、道路參數與前方交通動態資訊等調整車速，使動力系統運作於高效區與車輛行駛於安全範圍。本論文所提出之節能行車控制器採用非線性模型預測控制Nonlinear Model Predictive Control (NMPC)與瞬時功率最小化策略instantaneous power minimization (IPM)分別進行車速最佳化與馬達系統之動力分配，MiL/ HiL結果顯示此套節能巡航控制技術可減少5~10%之行車能耗。 | zh_TW |
| dc.description.abstract | An eco-driving system for the plug-in hybrid electric vehicle (PHEV) to improve the energy economy is presented. This research proposes an eco-cruise controller (eco-CC), it is able to adjust cruising speed by receiving and analyzing terrain information and then furthermore to reduce the consumption of energy. The nonlinear model predictive control technique (NMPC) is used to optimally control vehicle speed and the instantaneous power minimization (IPM) strategy is adopted to deal with the torque distribution of multi-motor system. The research also takes the safety and comfort into consideration. The eco-CC deals with the design of an adaptive cruise control system considering the safety as well as comfort aspects of corner road. At last, this research has been proven with real motors response, these simulations demonstrate that eco-CC improves the total energy cost about 5~10%. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-19T17:55:02Z (GMT). No. of bitstreams: 1 ntu-105-R03522836-1.pdf: 20239297 bytes, checksum: 6f6c66e5e399677aa26eb46844ac8bcf (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 摘要 II
Abstract III 致謝 IV 目錄 V 圖目錄 VIII 表目錄 XIV 符號表 XV 第一章 緒論 1 1.1 研究動機 1 1.2 文獻回顧 3 1.3 研究貢獻 9 第二章 系統架構與模型 10 2.1 系統架構 10 2.2 系統模型 13 2.2.1 引擎模型 13 2.2.2 馬達模型 15 2.2.3 減速齒輪箱模型 16 2.2.4 車輛縱向模型 17 第三章 智慧節能駕駛單元控制系統設計 19 3.1 插電式混合動力車動力模式 20 3.1.1 行車動力模式-引擎模式(ICE mode) 21 3.1.2 行車動力模式-純電模式(EV、RE mode) 21 3.2 節能巡航控制車速最佳化設計 22 3.2.1 成本函數 23 3.2.2 預測模型 24 3.2.3 限制條件 27 3.3 模型預測控制 28 3.4 最佳化-動態規劃法 30 3.5 適應性巡航控制系統 38 3.6 瞬時功率最小化策略 39 第四章 模型迴路模擬 45 4.1 節能巡航控制 45 4.1.1 上坡道路速度調節 46 4.1.2 下坡道路速度調節 53 4.1.3 結合地圖資料-五股楊梅高架橋路段 60 4.1.4 差異分析-權重比較 64 4.1.5 差異分析-不同巡航車速與權重關係 73 4.1.6 差異比較-調節車速區間大小 74 4.2 節能巡航安全與跟車 79 4.2.1 安全過彎車速調節 79 4.2.2 節能巡航ECC/適應性巡航ACC切換 83 4.2.3 節能巡航跟車 87 第五章 硬體迴路模擬 90 5.1 馬達動力平台耗能實驗量測 90 5.1.1 馬達動力平台 90 5.1.2 實驗設備 93 5.1.3 TN 轉換 95 5.1.4 馬達效率圖建立 96 5.1.5 力矩命令查表建立 98 5.1.6 實驗情境-短程 99 5.1.7 實驗情境-20km 105 第六章 結論與未來工作建議 110 6.1 結論 110 6.2 未來工作建議 112 參考文獻 113 | |
| dc.language.iso | zh-TW | |
| dc.title | 插電式混合動力電動車之智慧節能巡航控制研究 | zh_TW |
| dc.title | Research of the Intelligent Eco-Cruise Control for Plug-in Hybrid Electric Vehicles | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 顏家鈺(Jia-Yush Yen),楊士進(Shih-Chin Yang) | |
| dc.subject.keyword | 插電式混和動力車,節能行車,巡航控制,模型預測控制,多馬達動力系統, | zh_TW |
| dc.subject.keyword | Plug-in Hybrid Electric Vehicle,Eco-Driving,Cruise Control,Model Predictive Control,Multi-Motor System, | en |
| dc.relation.page | 116 | |
| dc.identifier.doi | 10.6342/NTU201603605 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2016-10-12 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
| 顯示於系所單位： | 機械工程學系 | |
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