Adjustable voltage r的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

Adjustable voltage r的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦寫的 Proceedings of Symposium on Power Electronic and Renewable Energy Systems Control: Peresc 2020 和的 Field and Service Robotics: Results of the 7th International Conference都 可以從中找到所需的評價。

這兩本書分別來自 和所出版 。

國立臺北科技大學 電機工程系 胡國英、姚宇桐所指導 陳俊宇的 應用無橋式升降壓型功率因數修正器及LLC諧振式轉換器於USB電力傳輸 (2021),提出Adjustable voltage r關鍵因素是什麼,來自於通用輸入、無橋式、升降壓型、高功率因數、LLC諧振式轉換器、USB電力傳輸。

而第二篇論文國立臺灣科技大學 電機工程系 劉益華所指導 何昆哲的 基於金鷹演算法之三階混合全橋LLC諧振轉換器效率最佳化 (2021),提出因為有 電動車、電池充電、三階全橋LLC諧振轉換器、金鷹演算法、綜合效率最佳化的重點而找出了 Adjustable voltage r的解答。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Adjustable voltage r,大家也想知道這些:

Proceedings of Symposium on Power Electronic and Renewable Energy Systems Control: Peresc 2020

為了解決Adjustable voltage r的問題,作者 這樣論述:

Sankarsan Mohapatro was born in Cuttack, India, in 1983. He received the B.E. degree from the National Institute of Science and Technology, Berhampur, India, in 2005, and the M.Sc. (Eng.) and Ph.D. degrees in electrical engineering from the Indian Institute of Science, Bangaluru, India, in 2008 and

2011, respectively. He joined the Indian Institute of Technology Bhubaneswar in 2008, where he is currently Associate Professor with the School of Electrical Sciences. He holds various administrative positions at the institute. His master’s thesis received National Award. He is the recipient of Youn

g Scientist Award, Odisha Bigyan Academy, India. His current research interests include the applications of high voltage to air pollution control, high voltage modular power supply, DC microgrid and renewable energy. Jonathan W. Kimball received the B.S. degree in electrical and computer engineering

from Carnegie Mellon University, Pittsburgh, PA, in 1994, and the M.S. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, IL, USA, in 1996 and 2007, respectively. From 1996 to 1998, he worked with Motorol

a, Phoenix, AZ, designing IGBT modules for industrial applications. He then joined Baldor Electric, Fort Smith, AR, USA, where he designed industrial adjustable speed drives. In 2003, he co-founded SmartSpark Energy Systems, Inc., Champaign, IL, USA, and served as Vice President of Engineering. He j

oined the faculty of Missouri S&T, Rolla, MO, USA, in 2008, where he is currently Professor with the Electrical and Computer Engineering Department. From 2016 to 2018, he was also Dean’s Scholar with the College of Engineering and Computing. His research interests include microgrids, switched-capaci

tor converters and cyber-physical systems. He was General Chair of the IEEE APEC Conference in 2017 and continues to serve on its steering committee.

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應用無橋式升降壓型功率因數修正器及LLC諧振式轉換器於USB電力傳輸

為了解決Adjustable voltage r的問題,作者陳俊宇 這樣論述:

摘 要 iABSTRACT ii致謝 iv目錄 v圖目錄 x表目錄 xxix第一章 緒論 11.1 研究動機及目的 11.2 研究方法 111.3 論文內容架構 12第二章 先前技術之動作原理與分析 132.1 前言 132.2 有橋式升降壓型功率因數修正電路架構與其動作原理 132.3 諧振式轉換器架構與特性 182.3.1 串聯諧振式轉換器 182.3.2 並聯諧振式轉換器 202.3.3 串並聯諧振式轉換器 222.4 USB Power Delivery 25第三章 所提無橋式升降壓型功率因數修正電路與LLC諧振式轉換器之動作原理與分析 263

.1 前言 263.2 電路符號定義及假設 263.3 所提電路之工作原理與數學分析 293.3.1 無橋式升降壓型功率因數修正電路之運作行為 303.3.2 無橋式升降壓型功率因數修正電路之電壓轉換比 333.3.3 無橋式升降壓型功率因數修正電路之電感電流邊界條件 353.3.4 無橋式升降壓型功率因數修正電路之實際電壓轉換比 373.3.5 LLC諧振轉換電路之運作行為 383.3.6 LLC之電壓增益 533.3.7 LLC電壓增益與K值關係 553.3.8 電壓增益與品質因素Q關係 57第四章 系統之硬體電路設計 584.1 前言 584.2 系統架構 5

84.3 架構之系統規格 604.4 系統設計 614.4.1 輸入端之差動濾波器設計 614.4.2 電感L1與電感L2設計 68(A) 電感L1與L2之感量 68(B) 電感L1與L2之磁芯選用 724.4.3 輸出電容Co1設計 754.4.5 模擬變載輸出電壓變動量量測 764.4.6 諧振槽參數設計 79(A) 變壓器Tr之匝數比n 79(B) 輸出等效阻抗Rac 79(C) 品質因數Q 80(D) 諧振元件Lr、Cr、Lm參數 84(E) 磁性元件Lm、Lr繞製 854.4.5 輸出電容Co2設計 924.4.6 同步整流器IC說明 934.4

.7 功率開關與二極體之選配 95(A) 升降壓型功率因數修正器之開關元件選配 96(B) LLC諧振式轉換器之開關元件選配 974.4.7 驅動電路設計 984.5 電壓偵測電路設計 994.6 元件總表 102第五章 軟體規劃及程式設計流程 1035.1 前言 1035.2 程式動作流程 1035.2.1 ADC取樣與資料處理 1045.2.2 移動均值濾波模組 1065.2.3 PI控制器模組與限制器模組 1085.2.4 控制開關訊號模組 110第六章 模擬與實作波形 1126.1 前言 1126.2 電路模擬結果 1126.2.1 電路於15W功率

等級之模擬波形圖 1146.2.2 電路於27W功率等級之模擬波形圖 1196.2.3 電路於45W功率等級之模擬波形圖 1246.2.4 電路於100W功率等級之模擬波形圖 1296.3 所提功率因數修正電路的實驗波形圖 1356.3.1 單級功率因數修正電路於16.6W功率等級之實驗波形圖 136(A) 輸入電壓85V之波形量測 136(B) 輸入電壓110V之波形量測 139(C) 輸入電壓220V之波形量測 142(D) 輸入電壓264V之波形量測 1456.3.2 單級功率因數修正電路於30W功率等級之實驗波形圖 148(A) 輸入電壓85V之波形量測 148

(B) 輸入電壓110V之波形量測 152(C) 輸入電壓220V之波形量測 155(D) 輸入電壓264V之波形量測 1586.3.3 單級功率因數修正電路於50W功率等級之實驗波形圖 161(A) 輸入電壓85V之波形量測 161(B) 輸入電壓110V之波形量測 164(C) 輸入電壓220V之波形量測 167(D) 輸入電壓264V之波形量測 1706.3.4 單級功率因數修正電路於111W功率等級之實驗波形圖 173(A) 輸入電壓85V之波形量測 173(B) 輸入電壓110V之波形量測 177(C) 輸入電壓220V之波形量測 181(D) 輸入電壓264

V之波形量測 1846.3.5 單級功率因數修正電路實驗波形比較結果之小結 188(A) 16.6W之功率等級 188(B) 30W之功率等級 189(C) 50W之功率等級 189(D) 100W之功率等級 1906.4 所採用之LLC諧振式電路的實驗波形圖 1926.4.1 單級LLC諧振式電路於15W功率等級之實驗波形圖 1926.4.2 單級LLC諧振式電路於27W功率等級之實驗波形圖 1966.4.3 單級LLC諧振式電路於45W功率等級之實驗波形圖 2016.4.4 單級LLC諧振式電路於100W功率等級之實驗波形圖 2056.5 所提電路之變載測試 211

6.5.1 系統於15W功率等級之變載實驗波形圖 2116.5.2 系統於27W功率等級之變載實驗波形圖 2206.5.3 系統於45W功率等級之變載實驗波形圖 2296.5.4 系統於100W功率等級之變載實驗波形圖 2386.6 實驗相關參數量測 2496.7 損失分析 253(1) 開關S1~S7之損失 253(2) 二極體D1、D2、D3之損失 255(3) 磁性元件之損失 255(5) 電容元件之損失 257(6) 損失分析總結 258第七章 文獻比較 260第八章 結論與未來展望 2628.1結論 2628.2 未來展望 262參考文獻 263符號彙

編 272

Field and Service Robotics: Results of the 7th International Conference

為了解決Adjustable voltage r的問題,作者 這樣論述:

Mechanism Design.- Terrain Modeling and Following Using a Compliant Manipulator for Humanitarian Demining Applications.- Towards Autonomous Wheelchair Systems in Urban Environments.- Tethered Detachable Hook for the Spiderman Locomotion (Design of the Hook and Its Launching Winch).- New Measurement

Concept for Forest Harvester Head.- Expliner - Toward a Practical Robot for Inspection of High-Voltage Lines.- Perception and Control.- Experimental Study of an Optimal-Control- Based Framework for Trajectory Planning, Threat Assessment, and Semi-Autonomous Control of Passenger Vehicles in Hazard Av

oidance Scenarios.- Receding Horizon Model-Predictive Control for Mobile Robot Navigation of Intricate Paths.- Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-Based Terrain Classification.- Towards Visual Arctic Terrain Assessment.- Tracking and Servoing.- Pedest

rian Detection and Tracking Using Three-Dimensional LADAR Data.- Passive, Long-Range Detection of Aircraft: Towards a Field Deployable Sense and Avoid System.- Multiclass Multimodal Detection and Tracking in Urban Environments .- Vision-Based Vehicle Trajectory Following with Constant Time Delay.- L

ocalization.- Radar Scan Matching SLAM Using the Fourier-Mellin Transform.- An Automated Asset Locating System (AALS) with Applications to Inventory Management.- Active SLAM and Loop Prediction with the Segmented Map Using Simplified Models.- Outdoor Downward-Facing Optical Flow Odometry with Commod

ity Sensors.- Place Recognition Using Regional Point Descriptors for 3D Mapping.- Mapping.- Scan-Point Planning and 3-D Map Building for a 3-D Laser Range Scanner in an Outdoor Environment.- Image and Sparse Laser Fusion for Dense Scene Reconstruction.- Relative Motion Threshold for Rejection in ICP

Registration.- Bandit-Based Online Candidate Selection for Adjustable Autonomy.- Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain.- Underwater Localization and Mapping.- Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature

Tracking.- AUV Benthic Habitat Mapping in South Eastern Tasmania.- Sensor Network Based AUV Localisation.- Experiments in Visual Localisation around Underwater Structures.- Multi-Robot Cooperation.- Leap-Frog Path Design for Multi-Robot Cooperative Localization.- A Location-Based Algorithm for Multi

-Hopping State Estimates within a Distributed Robot Team.- Cooperative AUV Navigation Using a Single Surface Craft.- Multi-Robot Fire Searching in Unknown Environment.- Human Robot Interaction.- Using Virtual Articulations to Operate High-DoF Inspection and Manipulation Motions.- Field Experiment on

Multiple Mobile Robots Conducted in an Underground Mall.- Learning to Identify Users and Predict Their Destination in a Robotic Guidance Application.- Long Term Learning and Online Robot Behavior Adaptation for Individuals with Physical and Cognitive Impairments.- Mining Robotics.- Swing Trajectory

Control for Large Excavators.- The Development of a Telerobotic Rock Breaker.- Camera and LIDAR Fusion for Mapping of Actively Illuminated Subterranean Voids.- Maritime Robotics.- A Communication Framework for Cost-Effective Operation of AUVs in Coastal Regions.- Multi-Robot Collaboration with Rang

e-Limited Communication: Experiments with Two Underactuated ASVs.- A Simple Reactive Obstacle Avoidance Algorithm and Its Application in Singapore Harbor.- Planetary Robotics.- Model Predictive Control for Mobile Robots with Actively Reconfigurable Chassis.- Turning Efficiency Prediction for Skid St

eer Robots Using Single Wheel Testing.- Field Experiments in Mobility and Navigation with a Lunar Rover Prototype.- Rover-Based Surface and Subsurface Modeling for Planetary Exploration.

基於金鷹演算法之三階混合全橋LLC諧振轉換器效率最佳化

為了解決Adjustable voltage r的問題,作者何昆哲 這樣論述:

現今環保意識抬頭,電動車逐漸成為趨勢,用於車用電池充電器等應用場合之功率轉換器需具備大輸出功率、寬輸出電壓以及高功率密度等特點。因此本論文實作一台三階混合全橋LLC諧振轉換器以符合上述應用需求。本論文首先提出一固定工作頻率,調節輔助開關責任週期之控制法,降低控制難度,使電路能工作於二階模式與三階模式,並根據輸出電壓與負載情況進行平滑切換,實現寬輸出電壓與高效率之目標。此外,由於目前文獻中提出之效率最佳化研究皆僅考慮單一負載情境,而轉換器應用於電池充電應用場合時,其負載會隨充電過程而持續改變,針對此一需求,本論文提出一結合LLC諧振轉換器之工作區域分析、損耗分析及金鷹演算法之效率最佳化設計方法

以求解最佳諧振槽設計參數,進而實現最佳綜合效率。本研究最後實際完成一台1250W,輸入電壓500V,輸出電壓360-500V,最大輸出電流2.5A的三階混合全橋LLC諧振轉換器,針對120串ICR-18650M之電池組規格,驗證本研究所提出的控制法與金鷹演算法求得之最佳諧振槽參數的正確性與可行性。由實驗結果可知當輸出電壓500V且輸出80%負載時,所提電路可達最高效率97.3%,且針對實際定電流-定電壓充電法各負載之時間比重進行量測可得綜合效率為95.7%。