Class-8 Heavy Truck Duty Cycle Project Final Report - Center for ...

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When the button “Extract Data” is clicked-on, an option is presented to further limit data extraction to segments between minimum and maximum durations. Once the data are extracted, the geographic routes for each segment are displayed in a map. In addition, pertinent data can be displayed and analyzed for each segment. 1 2 Fig. 31. Screen with Selection Criteria for DCGenT The data extracted can be graphed in two- or three-dimensional bar or line graphs. Parameters available for graphing include time, engine speed, wind speed, road grade, and fuel consumption. As shown in Fig. 32, a summary of the statistical indices appear at the bottom of the interface screen. Alternatively, a single parameter could be graphed and its data stored in a separate file. The ovalhighlighted region in Fig. 32 shows negligible fuel consumption in a five-mile downhill segment at slightly higher speed. 42
Data Display Tool: MultiPlot Elevation [km] Fig. 32. Data Graphing Function Fuel Speed The set of extracted data can also be linked sequentially to form a single driving record. The DCGenT connects segments of data together by merging a section at the end of one segment with a section of equal length belonging to the beginning of the next segment. Different weighting functions are used to merge the overlapping regions in a smooth and sensible manner, depending on the kind of data merged. For data such as elevation, longitude and latitude, the absolute value at the end of the segment becomes the base value for the segment being merged. Thus, all segments but the first contribute only the change in value with respect the first datum in their segment. For data such as vehicle speed, engine speed and fuel consumption rate, the overlapping segments are multiplied by complementary ramp factors and then added. For instance, if the length of the overlap region is 10 (seconds or elements), then the first elements are weighted by 1.0 and 0.0 respectively, while the second element weights are 0.9 and 0.1, the third 0.8 and 0.2; and so on until the tenth element is weighted by 0.0, 1.1. For other data that can vary rapidly like wind speed and rain, the values are simply appended together. Fig. 33 shows the merging of two segments. The dotted ovals highlight the vehicle speeds in the regions to be overlapped. The solid oval shows the resulting transition speed and front-axle speed (superimposed blue and pink), fuel rate (green), engine speed (red). 43
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Class-8 Heavy Truck Duty Cycle Proj
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Vehicle Systems Program ORNL/TM-200
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2.7 LAUNCH OF THE FOT (OCTOBER 23,
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40 Connection and Support Structure
Page 11: LIST OF TABLES Table Page 1 Pilot T
Page 15: ACKNOWLEDGEMENTS The Oak Ridge Nati
Page 18 and 19: Sixty channels of data were collect
Page 20 and 21: xviii
Page 22 and 23: The data analyses performed in Phas
Page 24 and 25: Fig. 2. HHDDT Transient Mode In add
Page 26 and 27: vehicle; 3) a transit bus; 4) a nei
Page 28 and 29: payload and accessory load would al
Page 30 and 31: Data # Performance Measure Benefit
Page 32 and 33: Data # Performance Measure Benefit
Page 34 and 35: Fig. 10. NGK NOx/O2 Sensors Fig. 11
Page 36 and 37: 1.3.4 De-instrumentation: Following
Page 38 and 39: Fig. 16. Pilot Test North-South Rou
Page 40 and 41: GPS information collected with the
Page 42 and 43: 2.1 REVIEW OF PERFORMANCE MEASURE R
Page 44 and 45: 2.3.2 Performance Measures Fig. 18.
Page 46 and 47: Signal Sensor 53 Road Grade Calcula
Page 48 and 49: 2.3.6 Tractor and Trailer Details F
Page 50 and 51: determined that the particular CANo
Page 52 and 53: Cable runs to and from sensors were
Page 54 and 55: 2.8 CONDUCTION OF FOT The FOT laste
Page 57 and 58: 3. INTERNET DATA ACCESS TOOL The HT
Page 59: Fig. 30. Search Results The file se
Page 64 and 65: Data Fig. 33. Segment Merging In ad
Page 66 and 67: Fig. 36 shows the synthetic cycle g
Page 68 and 69: Fig. 39. A Synthetic Duty Cycle wit
Page 70 and 71: tractors) as well as the maximum to
Page 72 and 73: vehicle was carrying a heavy load o
Page 74 and 75: Vehicle Speed [mph] Vehicle Speed [
Page 76 and 77: 5.2 REAL-WORLD DUTY CYCLES Informat
Page 78 and 79: Vehicle Speed [mph] 70 60 50 40 30
Page 80 and 81: Given the size and complexity of th
Page 82 and 83: data or out-of-range data. Therefor
Page 84 and 85: 6.1.1 Spatial Information Using the
Page 86 and 87: For those cases in which an instrum
Page 88 and 89: Fig. 56. DCGenT Prototype Search Cr
Page 90 and 91: at constant speed. Parameters m, b,
Page 92 and 93: weight. Notice that, as expected, m
Page 94 and 95: the loss of information, and conseq
Page 96 and 97: consumption per unit of distance tr
Page 98 and 99: q q ( − ) ( feb'− feb) 100 '
Page 100 and 101: Table 15. General Statistics: Total
Page 102 and 103: 70% 60% 50% 40% 30% 20% 10% 0% Idli
Page 104 and 105: Fig. 68. All Trips with Dual Tires
Page 106 and 107: The almost 700,000 miles logged dur
Page 108 and 109: Frequency 300 250 200 150 100 50 0
Page 110 and 111: Speed [mph] 80 70 60 50 40 30 20 10
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vehicle is hauling light or heavy l
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Frequency 350 300 250 200 150 100 5
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A summary of the statistics describ
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analysis controlling for the type o
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6.3.2.4 Summary of Fuel Efficiency
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Lesson Learned: A technology progre
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Lesson Learned: Adding external sen
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know if the vehicle was “filled u
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8. SUMMARY OF RESULTS AND CONCLUSIO
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9. FUTURE DIRECTIONS The Heavy Truc
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Appendix A PILOT TEST LETTER REPORT
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1.0 BACKGROUND 2.0 PROJECT OVERVIEW
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ACKNOWLEDGEMENTS The authors wish t
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evaluate the data collection system
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performance of their next generatio
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March and provided to the ORNL Prog
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Between January, 2005 and May, 2005
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Figure 4: NGK Sensor Figure 5: Omeg
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o Date and Time o Wind Speed o Wind
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Figures 28 through 31 show the ball
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Figure 22: Airweigh System Figure 2
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DVD. Figures 35 and 36 show some of
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3.3.7.1 Pre-Analysis Efforts: As th
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Task 1: Identification of Fleet(s)
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Data # Performance Measure Performa
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Sensor or eDaq Performance Performa
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45 46 47 48 49 50 51 52 53 Measure
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Data # 62 63 64 65-67 68-69 70-71 7
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Data # Performance Measure 87 Headi
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Appendix A-B Final Pilot Test Plan
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• DAS/sensor suite/cabling operab
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9 10 11 12 13 14 15 Lateral Velocit
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34 Rain Intensity 35 36 37 38 39 40
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59 60 61 62 63 64 65-67 68-69 70-71
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85 Longitude 86 Velocity 87 Heading
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3.2 Sensors The PMs listed in Table
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vehicles will be dedicated to the p
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DATE TEST ENGINEER: DRIVER: DEPARTI
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Jim Ridge, Dana Product Engineer, w
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Table 5.1 October Route and Schedul
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Table 5.2 December Route and Schedu
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Appendix A-C Field Test Signals 64
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9 Performance Measure Performance M
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Performance Measure 25 Rain Duratio
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Letter Report SUMMARY OF RELEVANT H
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Sensor or Performance Data Sensor o
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GAWR 44 lb AirWeigh 5800 Road Surfa
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Appendix B SCHRADER MEMORANDUM OF U
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MOU-UTB-2007001 Schrader Trucking C
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MOU-UTB-2007001 Schrader Trucking C
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Appendix C FIELD OPERATIONAL TEST P
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Collection, Analysis, and Archiving
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4.0 APPROACH Phases 2 and 3 of the
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Signal Sensor 60 Tractor-Trailer Ma
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Schrader Trucking will provide six
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Sensitive Information] [Partner Sen
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4.6 Sensor and DAS Integration to T
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5.5 Vehicle Deployment Methodology
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Start address: 2360 Cherahala Blvd
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Figure 6.2: Schrader Shop, Far Left
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Figure 6.7: eDAQ Lite with two Vehi
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6.5 Safety Information For Student
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Appendix D SYSTEM DESIGN AND OPERAT
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TABLE OF CONTENTS Collection, Analy
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9.1.2. Shutdown Procedure 9.1.3. SI
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Signal Sensor 26 Cruise Control Acc
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Figure 4.1: Air-Weigh System Compon
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4.5. EDAQ The eDAQ Lite is connecte
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the equipment inside from overheati
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5.4. Weather Station Connections Fi
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Figure 5.5.3: VBOX Cable Table 5.5.
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Figure 6.3: Weather Station Locatio
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6.6 Power Supply Use a second cable
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can also be changed from this windo
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on and the yellow light should begi
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Figure 7.1.3-1: Weather Station and
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Speed unit: m/s Sampling frequency:
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iii) Click on Browse to find and op
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c) Power Controller (Power) - no co
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1) Select the Transducer and Messag
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Figure 7.2.4-2: Adding Transducer C
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Figure 7.2.4-3: Editing DIO Vehicle
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A. Changing Units - Converting tran
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C. Coordinates - Assign correct sig
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switch) Table 7.2.5: Contents of Ti
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Trigger Delay Setup: Check Enable d
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Figure 7.2.5-6: Time Base Shifter S
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Units: Full Scale Estimate - Min: 0
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Figure 7.2.6-2: Burst History Data
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Press Ctrl+3 (or click Run in the T
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8.2. Procedures for Heavy Truck Dut
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d) Turn on the ignition. e) Turn on
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4) Change the IP address field to t
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5) Check to see that the computer c
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e) When all SIC files have been sav
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4) To verify the time setting, go t
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e) Alter the id, mask, value, etc.
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Longitudinal CAN 0x87FF 0x0304 Long
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ULSB 0x98EAFFFBC1FE00 MaxVehSpLm CA
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Figure 9.1.6-2: Performing a ColdSt
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Table 9.2.2-1: Descriptions and Uni
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Channel ID Sensor Format Integer? P
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Channel ID eDAQ Invalid Data Value
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Channel ID Resolution Accuracy Note
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9.3. Appendix C: Additional DAS Not
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e replicated and saved as five iden
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2) Type in “cmd” 3) Type “ipc
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Producing multiple setup files 1) G
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9.4. Appendix D: Checklists and For
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D-96
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9.5. Appendix E: References and Web
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E-3
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E-5
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E-7
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E-9
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E-11
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E-13
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E-15
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E-17
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E-19
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E-21
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E-23
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E-25
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E-27
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E-29
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E-31
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E-33
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E-35
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E-37
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E-39
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E-41
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