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Multidisciplinary Investigation of Truck Platooning

Altair-Bastian Schnepf, Christian Kehrer, Christoph Maeurer
  • Technical Paper
  • 2020-37-0028
To be published on 2020-06-23 by SAE International in United States
In the age of environmental challenges and with it, the demand for increasing energy efficiency of commercial vehicles, truck platooning is discussed as a promising approach. The idea is several trucks forming an automated convoy – with the lead truck sending out acceleration, braking and steering signals for the following trucks to react accordingly. The benefits address fuel savings, traffic capacity, safety requirements and convenience. In our study, we will motivate why platooning requires a multidisciplinary approach in the sense of connecting different modeling and simulation methods. The simulation topics covered are aerodynamic analysis, vehicle-to-vehicle (V2V) communication, radar antenna placement and virtual drive cycle test for the energetic evaluation of a truck platoon in comparison to a single truck. Aerodynamic analyses are conducted using a transient Lattice Boltzmann approach on GPUs capturing the complex vehicle wake interactions for different platooning distances with acceptable computational effort. Thereby, a generic truck convoy, consisting of three vehicles, is considered for distance intervals between 7 and 40 meters. From these computations for each vehicle look-up-tables are derived for interpolation…
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Assessment of the Potential of Power to Gas Fuels for Replacement of Fossile Fuels in Switzerland

EMPA-Panayotis Dimopoulos Eggenschwiler, Florian Kiefer, Karin Schröter, Christian Bach
  • Technical Paper
  • 2020-37-0027
To be published on 2020-06-23 by SAE International in United States
In Switzerland, road traffic is responsible for one third of greenhouse gas emissions respectively 40% of the CO2 emissions and therefore accounts for the largest single share of all sectors. These emissions have even increased slightly since 1990 (from 15.5 to 16.2 million tCO2). Private individual road transport achieves a mileage of approximatively 91.0 billion pkm (person-kilometer) and 17.2 billion tkm (tons-kilometer) per year. Therefore, 3.3 billion liters of gasoline and 3.2 billion liters of diesel are used, resulting in 16.2 million tCO2 emissions in total. Thereof, 10.2 million tons of CO2 are emitted by passenger cars and 1.7 million tons by trucks, the two most important means of transport concerning CO2 emissions. The rest is produced by vans, buses, motorcycles, railways and shipping, national air traffic and fuel tourism. The passenger cars are the most relevant application in terms of CO2 emissions with a share of 63% of the road vehicle CO2 emissions. To comply with the 95 g/km target, low CO2 vehicles have to be introduced. In the following, the number of such…
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CFD investigation of exhaust gas bypass on truck trolley heating

John Deere India Private, Ltd.-Nitin Dewangan
John Deere India Pvt Ltd-Megha anawat
  • Technical Paper
  • 2020-28-0006
To be published on 2020-04-30 by SAE International in United States
Most of the automobile and off-road vehicles leave the 100% exhaust gases to atmosphere. The temperature of the exhaust gas ranges from 200-350 deg C and the exit velocity of the gas is about 40-100 m/s based on the outlet pipe design. Dump trucks are used to transport mud, sticky waste garbage and sometime ice from one place to dump yard. The paper will describe the approach of partially use the exhaust gases for truck trolley by heating the trolley surfaces from the walls. CFD software is used to evaluate the exhaust system pressure drop and bypass exhaust flow rate requirements for effective heating on trolley wall. The simulation also helped to design the appropriate baffle position for optimum pressure drop and recirculation. Conjugate heat transfer CFD analysis is carried out to predict the flow behavior.
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Gear Shift Pattern Optimization for Best Fuel Economy, Performance and Emissions

Chidhanand S.
Mahindra & Mahindra, Ltd.-Lemuel Paulraj, Saravanan Muthiah
  • Technical Paper
  • 2020-01-1280
To be published on 2020-04-14 by SAE International in United States
As the FTP-75 drive cycle does not have a prescribed gear shift pattern, automotive OEMs have the flexibility to design. Conventionally, gear shift pattern was formulated based on trial and error method, typically with 10 to 12 iterations on chassis dynamometer. It was a time consuming (i.e. ~ 3 to 4 months) and expensive process. This approach led to declaring poor fuel economy (FE). A simulation procedure was required to generate a gear shift pattern that gives optimal trade-off amongst conflicting objectives (FE, performance and emissions). As a result, a simulation tool was developed in MATLAB to generate an optimum gear shift pattern. Three different SUV/UV models were used as test vehicles in this study. Chassis dyno testing was conducted, and data was collected using the base and optimized gear shift patterns. Dyno test results with optimized gear shift pattern showed FE improvement of ~ 4 to 5% while retaining the NOx margin well above engineering targets. This labeling FE improvement method did not require any hardware or software changes, thus, involved no additional expense.…
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Alleviating the Magnetic Effects on Magnetometers using Vehicle Kinematics for Yaw Estimation for Autonomous Ground Vehicles

Michigan Technological University-Ahammad Basha Dudekula, Jeffrey D. Naber
  • Technical Paper
  • 2020-01-1025
To be published on 2020-04-14 by SAE International in United States
Autonomous vehicle operation is dependent upon accurate position estimation and thus a major concern of implementing the autonomous navigation is obtaining robust and accurate data from sensors. This is especially true, in case of Inertial Measurement Unit (IMU) sensor data. The IMU consists of a 3-axis gyro, 3-axis accelerometer, and 3-axis magnetometer. The IMU provides vehicle orientation in 3D space in terms of yaw, roll and pitch. Out of which, yaw is a major parameter to control the ground vehicle’s lateral position during navigation. The accelerometer is responsible for attitude (roll-pitch) estimates and magnetometer is responsible for yaw estimates. However, the magnetometer is prone to environmental magnetic disturbances which induce errors in the measurement. The present work focuses on alleviating magnetic disturbances for ground vehicles by fusing the vehicle kinematics information with IMU senor in an Extended Kalman filter (EKF) with the vehicle orientation represented using Quaternions. In addition, the error in rate measurements from gyro sensor gets accumulated as the time progress which results in drift in rate measurements and thus affecting the vehicle…
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Development and demonstration of a class 6 range-extended electric vehicle for commercial pickup and delivery operation

Cummins Inc.-John Kresse, Ke Li, Jesse Dalton
National Renewable Energy Laboratory-Matthew A. Jeffers, Eric Miller, Kenneth Kelly
  • Technical Paper
  • 2020-01-0848
To be published on 2020-04-14 by SAE International in United States
Range-extended hybrids are an attractive option for medium- and heavy-duty (M/HD) commercial vehicle fleets because they offer the efficiency of an electrified powertrain and accessories with the range of a conventional diesel powertrain. The vehicle essentially operates as if it was purely electric for most trips, while ensuring that all commercial routes can be completed in any weather conditions or geographic terrain. Fuel use and point-source emissions can be significantly reduced, and in some cases eliminated, as many shorter routes can be fully electrified with this architecture. Under a U.S. Department of Energy award for M/HD Vehicle Powertrain Electrification, Cummins has developed a plug-in hybrid electric (PHEV) class 6 truck with a range-extending engine designed for pickup and delivery application. The National Renewable Energy Laboratory (NREL) assisted by developing a representative work day drive cycle for class 6 operation and adapting it to enable track testing. A novel, automated driving system was developed and utilized by Southwest Research Institute (SwRI) to improve the repeatability of vehicle track testing used to quantify vehicle energy consumption. Cummins…
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Development of GM 10-Speed Allison Heavy Duty (HD) Transmission

General Motors LLC-Chi Teck Lee, David Ames, Brett Caldwell, Matthew Knoth, Timothy Reinhart, Jeffrey Kelly, Rajesh Kannan, German Tanasi
  • Technical Paper
  • 2020-01-0438
To be published on 2020-04-14 by SAE International in United States
This paper describes the development of GM 10-Speed Allison Heavy Duty (HD) Transmission. The trend of engine power and towing capacity in the automotive heavy-duty truck segment has been steadily climbing for a past 10 years. The development of GM 10-Speed Allison Heavy Duty Transmission is designed to be best in class for towing performance with no compromise in fuel economy. GM 10-Speed Allison Heavy Duty Transmission also gives the customers the option to order an integrated power transfer unit to improve the installation of power transfer or generation accessories. GM Allison HD truly brings the best of towing performance and fuel economy to the customers.
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NHTSA's 2018 Heavy Vehicle Automatic Emergency Braking Test Track Research Results

NHTSA-Devin Elsasser
Transportation Research Center Inc.-M. Kamel Salaani, Christopher Boday
  • Technical Paper
  • 2020-01-1001
To be published on 2020-04-14 by SAE International in United States
This paper presents National Highway Traffic Safety Administration’s 2017 and 2018 test track research results with heavy vehicles equipped with forward collision warning and automatic emergency braking systems. Newly developed objective test procedures were used to perform and collect performance data with three single-unit trucks equipped with the crash avoidance systems. The results of this research show that the test procedures are applicable to many heavy vehicles and indicate that performance improvements in heavy vehicles equipped with these safety systems can be objectively measured.
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A Pre-warning Method for Cornering Speed of Concrete Mixer Truck

Suizhou-WUT Industry Research Institute-Gangfeng Tan
Wuhan University of Technology-Yifeng Jiang, Haoyu Wang, Zelong Wang, Zhenyu Wang, Ming Li
  • Technical Paper
  • 2020-01-1003
To be published on 2020-04-14 by SAE International in United States
The high gravity center of the concrete mixer truck reduces the truck’s stability while steering, and the rolling stirring tank makes the stability even worse than the regular engineering vehicle due to the dynamic variation of centroid position. Most of the researches on the rollover stability of concrete mixer trucks focus on the rollover model establishment and dynamics simulation module. The influence of concrete centroid changes is ignored when the safe cornering speed is calculated. This paper proposes a pre-warning method for cornering speed of concrete mixer truck based on centroid dynamic simulation. In the method, the mixing tank stirring model and the vehicle driving dynamics model are established on the Fluent and TruckSim simulation platforms, respectively.The theoretical speed threshold obtained by simulation is used as the evaluation index of warning of the speed for steering. First, the dynamic simulation of the stirring tank model is carried out by Fluent. According to Newton Leibniz numerical calculation method, Matlab is used to obtain the mathematical model of the centroid position and the main parameters of the…
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Experimental-numerical correlation of a multi-body model for comfort analysis of an heavy truck

CNH Industrial-Andrea Morello, Vladi Nosenzo, Enrica Capitelli
Politecnico di Torino-Enrico Galvagno, Michele Galfrè, Mauro Velardocchia
  • Technical Paper
  • 2020-01-0768
To be published on 2020-04-14 by SAE International in United States
In automotive market, today more than in the past, it is very important to reduce time to market and, mostly, developing costs before the final production start. Ideally, bench and the on-road tests can be replaced by multi-body studies because virtual approach guarantees test conditions very close to reality and it is able to exactly replicate the standard procedures. Approval authorities are starting to look at simulations to release homologation certificates. Therefore, today, it is essential to create very reliable models, able to forecast the vehicle behavior on every road condition (including uneven surfaces). The aim of this study is to build a reliable multi-body model of a heavy commercial vehicle and to correlate experimental and numerical data related to comfort analysis for validation purposes. Experimental results are recorded during tests carried out at different speeds and loading conditions on a Belgian blocks track. Simulation data are obtained reproducing the on-road test conditions in multi-body environment. The virtual vehicle is characterized by rigid and flexible bodies, the tire model used is FTire (Flexible Structure Tire…