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

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GAWR 44 lb AirWeigh 5800 Road Surface Temp 45 Wear Study; Fuel Consumption Modeling Cab/Air Suspension System ORNL o C Roadwatch Wear Evaluations Mirror ORNL Traffic Conditions 46 N/A Camera Drive Cycle Impact Cab DANA Longitudinal, Lateral, and Vertical Acceleration at Vehicle CG Vehicle Roll, Pitch, and Yaw Vehicle Roll, Pitch and Yaw Rate Longitudinal, Lateral, and Vertical Wheel Load Tri-axial Wheel Moments Tri-Axial Accel on B-Pillar Tri-Axial Accel of Unsprung Axles Tri-Axial Accel on Tractor Frame 47-49 G’s Oxford RT-3100 50-52 Deg Oxford RT-3100 53-55 Deg/s Oxford RT-3100 56-58 lb 59-61 lbf-in 62-64 G’s Swift 50T Wheel Force Transducer Swift 50T Wheel Force Transducer Crossbow Accelerometer Overall Cab Ride; Drive Cycle Characterization. Describes Vehicle Body Motion Describes Vehicle Body Motion Primary Indicator of Ride Input at the Wheel Tractor Cab NTRCI Cab NTRCI Cab NTRCI Wheel End DANA Used for Modeling Wheel End DANA Ride Harshness at Driver’s Head/Shoulders Cab TBD 65-67 G’s PCB Accelerometer Ride Harshness Axle DANA 68-70 G’s PCB Accelerometer Ride Quality of Sprung Mass Tractor Frame DANA Steer Axle Strain 71-73 uE Rosette Gauge Durability Axle DANA Drive Axle Strain 75-76 uE Rosette Gauge Durability Axle DANA Trailer Axle Strain 77-79 uE Rosette Gauge Durability Axle DANA Wheel Torque 80 N-m Drivetrain Characterization Steering Angle/Rate 81 Deg Steering Effect Steering Input Steering Wheel Torque 82 N-m Steering Effect Steering Input Steering Column Steering Column DANA DANA Tire Wear 83 mm Depth Gauge Wear Modeling N/A Michelin Tire Pressure 84-100 kPa Test Equipment Power Usage Tire Maintenance System Rolling Resistance; Tire Wear External Rig DANA 101 w TBD Energy Efficiency TBD TBD A-74
APPENDIX Task 2: Identification of Relevant Heavy Truck Performance Measures and Development of a Pilot Testing Plan Efforts under this task will involve the identification of performance measures that are needed to support the development of real-world duty cycles for heavy vehicle driving, and for analysis purposes utilizing various software including the PSAT Code. Performance measures may include: engine speed, vehicle speed, engine load, transmission/gear, grade, altitude above sea level (alternatively – barometric pressure), vehicle location, exhaust temperature, throttle pedal input, and exhaust back pressure. Other information such as load weight, fuel inventory, steering wheel angle, brake pedal pressure, road condition, and traffic conditions might also be useful. If other organizations such as DOT are involved in this Program, driver measures such as fatigue, physical workload, cognitive workload, distraction, etc., may also need to be collected. Members of the 21 st Century Truck Partnership, members of the CAMP Partnership, and DOT’s IVI Program will be consulted to help identify the appropriate types of data of interest to DOT to collect during this program. Parnerships with Universities may also be pursued in order to capitalize on previous and related DOT research with these Universities. A comprehensive list of performance measures will be identified and considered candidate measures for data collection. The list will be finalized as technologies for collecting the candidate measures are considered. It is desirable to collect such data from existing on-board systems (e.g., Engine Control Modules [ECMs]), or utilizing commercial-off-the-shelf (COTS) sensor technologies. Several of the measures might require some modest sensor development efforts. Measures that require a significant investment in data collection technologies will not be considered. Such measures however may be capable of being inferred from surrogate measures. Once the performance measures are identified, the specific tractor-trailers identified, and plans for procuring data acquisition capabilities are defined, a pilot test plan will be developed that will provide details of the pilot testing activity. It is expected that Pilot Testing will be done for the tractor-trailers being in commercial service on the Chicago-Seattle (and return) route. This route is a candidate for consideration because of the variability in conditions that can be experienced on this route including topology, weather, and urban/rural driving environments. The test plan will also include protocols for managing the data collected during the field test. A-75
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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
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LIST OF TABLES Table Page 1 Pilot T
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ACKNOWLEDGEMENTS The Oak Ridge Nati
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Sixty channels of data were collect
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xviii
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The data analyses performed in Phas
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Fig. 2. HHDDT Transient Mode In add
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vehicle; 3) a transit bus; 4) a nei
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payload and accessory load would al
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Data # Performance Measure Benefit
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Data # Performance Measure Benefit
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Fig. 10. NGK NOx/O2 Sensors Fig. 11
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1.3.4 De-instrumentation: Following
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Fig. 16. Pilot Test North-South Rou
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GPS information collected with the
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2.1 REVIEW OF PERFORMANCE MEASURE R
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2.3.2 Performance Measures Fig. 18.
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Signal Sensor 53 Road Grade Calcula
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2.3.6 Tractor and Trailer Details F
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determined that the particular CANo
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Cable runs to and from sensors were
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2.8 CONDUCTION OF FOT The FOT laste
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3. INTERNET DATA ACCESS TOOL The HT
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Fig. 30. Search Results The file se
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When the button “Extract Data”
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Data Fig. 33. Segment Merging In ad
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Fig. 36 shows the synthetic cycle g
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Fig. 39. A Synthetic Duty Cycle wit
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tractors) as well as the maximum to
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vehicle was carrying a heavy load o
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Vehicle Speed [mph] Vehicle Speed [
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5.2 REAL-WORLD DUTY CYCLES Informat
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Vehicle Speed [mph] 70 60 50 40 30
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Given the size and complexity of th
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data or out-of-range data. Therefor
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6.1.1 Spatial Information Using the
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For those cases in which an instrum
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Fig. 56. DCGenT Prototype Search Cr
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at constant speed. Parameters m, b,
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weight. Notice that, as expected, m
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the loss of information, and conseq
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consumption per unit of distance tr
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q q ( − ) ( feb'− feb) 100 '
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Table 15. General Statistics: Total
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70% 60% 50% 40% 30% 20% 10% 0% Idli
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Fig. 68. All Trips with Dual Tires
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The almost 700,000 miles logged dur
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Frequency 300 250 200 150 100 50 0
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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
Page 156 and 157: DVD. Figures 35 and 36 show some of
Page 158 and 159: 3.3.7.1 Pre-Analysis Efforts: As th
Page 160 and 161: Task 1: Identification of Fleet(s)
Page 162 and 163: Data # Performance Measure Performa
Page 164 and 165: Sensor or eDaq Performance Performa
Page 166 and 167: 45 46 47 48 49 50 51 52 53 Measure
Page 168 and 169: Data # 62 63 64 65-67 68-69 70-71 7
Page 170 and 171: Data # Performance Measure 87 Headi
Page 172 and 173: Appendix A-B Final Pilot Test Plan
Page 174 and 175: • DAS/sensor suite/cabling operab
Page 176 and 177: 9 10 11 12 13 14 15 Lateral Velocit
Page 178 and 179: 34 Rain Intensity 35 36 37 38 39 40
Page 180 and 181: 59 60 61 62 63 64 65-67 68-69 70-71
Page 182 and 183: 85 Longitude 86 Velocity 87 Heading
Page 184 and 185: 3.2 Sensors The PMs listed in Table
Page 186 and 187: vehicles will be dedicated to the p
Page 188 and 189: DATE TEST ENGINEER: DRIVER: DEPARTI
Page 190 and 191: Jim Ridge, Dana Product Engineer, w
Page 192 and 193: Table 5.1 October Route and Schedul
Page 194 and 195: Table 5.2 December Route and Schedu
Page 196 and 197: Appendix A-C Field Test Signals 64
Page 198 and 199: 9 Performance Measure Performance M
Page 200 and 201: Performance Measure 25 Rain Duratio
Page 202 and 203: Letter Report SUMMARY OF RELEVANT H
Page 204 and 205: Sensor or Performance Data Sensor o
Page 211: Appendix B SCHRADER MEMORANDUM OF U
Page 214 and 215: MOU-UTB-2007001 Schrader Trucking C
Page 216 and 217: MOU-UTB-2007001 Schrader Trucking C
Page 219: Appendix C FIELD OPERATIONAL TEST P
Page 222 and 223: Collection, Analysis, and Archiving
Page 224 and 225: 4.0 APPROACH Phases 2 and 3 of the
Page 226 and 227: Signal Sensor 60 Tractor-Trailer Ma
Page 228 and 229: Schrader Trucking will provide six
Page 230 and 231: Sensitive Information] [Partner Sen
Page 232 and 233: 4.6 Sensor and DAS Integration to T
Page 234 and 235: 5.5 Vehicle Deployment Methodology
Page 236 and 237: Start address: 2360 Cherahala Blvd
Page 238 and 239: Figure 6.2: Schrader Shop, Far Left
Page 240 and 241: Figure 6.7: eDAQ Lite with two Vehi
Page 242 and 243: 6.5 Safety Information For Student
Page 245: Appendix D SYSTEM DESIGN AND OPERAT
Page 248 and 249: TABLE OF CONTENTS Collection, Analy
Page 250 and 251: 9.1.2. Shutdown Procedure 9.1.3. SI
Page 252 and 253: Signal Sensor 26 Cruise Control Acc
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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-33
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E-39
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E-41
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