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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 詹魁元 | zh_TW |
| dc.contributor.advisor | Kuei-Yuan Chan | en |
| dc.contributor.author | 彭啟瑞 | zh_TW |
| dc.contributor.author | Chi-Jui Peng | en |
| dc.date.accessioned | 2023-08-15T17:06:08Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-15 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-08-02 | - |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88622 | - |
| dc.description.abstract | 隨著歐盟通過2035年起新售車輛零碳排的標準，以及世界各國政府相繼宣告禁售燃油車輛政策的驅使下，車輛驅動系統電動化已成為必然的發展方向。然而目前對於電動車之研究，主要集中於乘用車之系統開發、模擬與驗證，相較之下，對於商用車電動化領域之研究尚顯不足。同時，電動商用車在推廣上由於受限於續航里程及充電時間，成為大規模部署前之最大阻礙，這使得商用車自內燃機轉換至電動驅動系統的目標尚有改善的空間。
本研究選以電動貨車作為研究對象，探討動力元件以及其他因素對於電動貨車之續航里程影響，改善當前電動貨車缺乏專屬駕駛與能耗評估模型之現況。為此，本研究開發一個基於實際車輛之整合模型，包含三種經過驗證之動力系統，並透過嵌入車輛控制策略，搭建基於MATLAB/Simulink環境之車輛模型與控制系統之驗證平台，嘗試解決目前電動貨車續航不足之困境。模擬結果表示，透過選擇特定之動力系統以及駕駛邏輯組合，能夠降低總體能源消耗達30%。同時，本研究延伸探討基於電動貨車開發模型之在環模擬科技應用推廣。此外，藉由記錄開發電動貨車整合模型建立方法，包含自參數取得，驗證以及模擬與評估等一系列流程，同步開源本研究中之電動貨車模型，作為未來車輛產業與教育應用之參考方案。 | zh_TW |
| dc.description.abstract | As the European Union passes the zero-carbon emission standards for new vehicles starting in 2035, and governments worldwide continue to announce policies banning the sale of fossil-fuel powered vehicles, the electrification of vehicle propulsion systems has become an inevitable path for development. However, the current focus of research on electric vehicles primarily revolves around the development, simulation, and validation of passenger vehicle systems. In contrast, the realm of electrifying commercial vehicles still lacks sufficient attraction and attention. Furthermore, the widespread adoption of electric commercial vehicles faces a significant challenge due to limitations in driving range and charging time, presenting a need for improvement in transitioning from internal combustion engines to electric propulsion systems.
This study focuses on investigating the impact of power components and other factors on the driving range of electric trucks, aiming to address the current lack of specialized driver and energy consumption assessment models for these vehicles. To achieve this, an integrated model based on the real-world vehicle is developed, incorporating three validated powertrain system options. By incorporating vehicle control strategies, a verification platform is established using the MATLAB/Simulink environment, creating a robust vehicle model and control system to tackle the issue of limited driving range in electric trucks. Under configuration of specified powertrain and strategy combination, can provide up to 30% of power savings. Furthermore, this research extends its exploration to the application and promotion of in-the-loop simulation technology based on the electric truck model. Additionally, by documenting the process for developing the integrated model of electric trucks, including parameter acquisition, verification, simulation, and evaluation processes, this study provides an open-sourced reference for the future vehicle industry and educational applications. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-15T17:06:08Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-15T17:06:08Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 I
誌謝 II ABSTRACT IV 摘要 VI LIST OF CONTENTS VII LIST OF FIGURES XI LIST OF TABLES XIII LIST OF SYMBOLS XV LIST OF ABBREVIATIONS XVIII CHAPTER 1 INTRODUCTION 1 1.1 Preface 1 1.2 Research Motivation and Purpose 3 1.2.1 Research Motivation 3 1.2.2 Research Purpose 7 1.3 Literature Review 10 1.3.1 Vehicle Modeling and Simulation 11 1.3.2 Vehicle Simulation and Hardware Real-Time Collocation 17 1.3.3 Vehicle Real-World Test and Standards 20 1.3.4 Contemporary Technologies Applications on Vehicles 21 1.3.5 Applications Based on Digital Twin 23 1.4 Research Structure 25 CHAPTER 2 BASELINE VEHICLE 27 2.1 Target Research Vehicle Overview 27 2.2 Accumulator System 32 2.3 Traction Motor and Controller System Specification 35 2.4 Braking System 37 CHAPTER 3 VEHICLE SYSTEM AND SUBSYSTEM MODELING 39 3.1 Vehicle Model Overview 39 3.2 Accumulator System 41 3.2.1 Battery Pack and Fail-Safe Mechanism 42 3.2.2 Power Estimator 45 3.3 Motor and Motor Control Unit System 47 3.3.1 Motor Torque Mapping and MCU Limiter 47 3.3.2 Power and Efficiency Estimator 49 3.4 Vehicle Dynamics System 52 3.4.1 Power Delivery and Braking System 53 3.4.2 Vehicle Body System 55 3.5 Vehicle Model Input and Output 58 3.5.1 User Control Interface, Visualization and Data Logging 58 3.5.2 CAN Bus Vehicle Communication Network Interface 61 3.6 Vehicle Control Strategies 62 3.6.1 Torque Mapping Strategy 63 3.6.2 Regenerative Braking Strategy with OPD Application 64 3.6.3 Cruise Control Strategy 65 CHAPTER 4 SIMULATION BASIS 67 4.1 Modeling Platform and Testbench Hardware 68 4.1.1 Dynamometer Testbench for Motor and Controller 69 4.1.2 Simulation Environment and Testbench 71 4.1.3 Details of Data Logging 72 4.2 Simulation: Vehicle Model Validation 74 4.2.1 Drive-Brake Test 74 4.2.2 Cruise Controller Test 75 4.3 Simulation: Drive Cycle and Mileage Estimation 77 4.3.1 Drive Cycle Operating Condition 77 4.3.2 Simulation Criteria Composition 79 4.4 In-the-loop Tests and Applications 82 4.4.1 One Pedal Drive Control Simulation with DiL Concept 82 4.4.2 Adaptive Cruise Control Simulation with HiL 83 CHAPTER 5 RESULTS ANALYSIS AND DISCUSSION 85 5.1 Results: Vehicle Model Verification 85 5.1.1 Drive-Brake Test 85 5.1.2 Cruise Controller Test 87 5.2 Results: Drive Cycle and Mileage Estimation 89 5.2.1 Analysis of Simulation Result under NEDC 90 5.2.2 Analysis of Simulation Result under WLTP Class 3 93 5.3 Discussion: In-the-Loop Applications 96 CHAPTER 6 CONCLUSIONS AND FUTURE WORKS 98 6.1 Conclusions 98 6.2 Future Works 99 REFERENCE 101 APPENDIX 107 Appendix A: Result of Test Data for Motor and Controller - Configuration A 107 Appendix B: Result of Test Data for Motor and Controller - Configuration B 108 Appendix C: Result of Test Data for Motor and Controller - Configuration C 109 Appendix D: Pseudo Code of Accumulator System 110 Appendix E: Pseudo Code of MCU and Motor System 111 Appendix F: Pseudo Code of Vehicle Dynamics 112 Appendix G: Result of Drive-Brake Test 113 Appendix H: Result of Cruise Controller Test 114 Appendix I: Result of Mileage Estimation - NEDC 115 Appendix J: Result of Mileage Estimation - WLTP Class 3 122 | - |
| dc.language.iso | en | - |
| dc.subject | 電動貨車 | zh_TW |
| dc.subject | 車輛模型開發 | zh_TW |
| dc.subject | 能耗管理 | zh_TW |
| dc.subject | 車輛模擬 | zh_TW |
| dc.subject | 在環模擬科技 | zh_TW |
| dc.subject | energy management | en |
| dc.subject | vehicle model development | en |
| dc.subject | vehicle simulation | en |
| dc.subject | electric truck | en |
| dc.subject | in-the-loop simulation | en |
| dc.title | 一融合在環模擬科技之現代電動貨卡模型 | zh_TW |
| dc.title | Modeling of a modern electric truck with the integration of in-the-loop simulation technologies | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 蘇偉儁;洪翊軒 | zh_TW |
| dc.contributor.oralexamcommittee | Wei-Jiun Su;Yi-Hsuan Hung | en |
| dc.subject.keyword | 電動貨車,能耗管理,車輛模型開發,車輛模擬,在環模擬科技, | zh_TW |
| dc.subject.keyword | electric truck,energy management,vehicle model development,vehicle simulation,in-the-loop simulation, | en |
| dc.relation.page | 128 | - |
| dc.identifier.doi | 10.6342/NTU202302383 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2023-08-07 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 機械工程學系 | - |
| 顯示於系所單位： | 機械工程學系 | |
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| ntu-111-2.pdf | 69.55 MB | Adobe PDF | 檢視/開啟 |
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