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The Road to the Top is Not on the Map: Conversations with Top Women of the Automotive Industry

2019-10-01
Carla Bailo, CEO of the Center for Automotive Research, and Terry Barclay, CEO of Inforum, bring together over 30 of the most influential women in the automotive industry to share their insight and advice. From suppliers to OEMs, they hail from every corner of the industry. Readers will learn how to take charge of their own careers by understanding the experiences these professionals. Topics include: • Work-Life Integration - How can you be whole at home, at work, and in the community? • Education and Lifelong Learning - Do you really need a graduate degree? • Mentor and Sponsor Relationships - How do you find mentors and sponsors and form productive relationships with them? • Career Challenges - How do you evaluate when to take career risks? How do you say yes when all the boxes aren't checked? • Resilience - Where do you find the internal fortitude to keep going? • Personal Satisfaction - What do these leaders find most joyful about their careers?
Technical Paper

Research on active noise control method on the reduction of drivetrain noise from a heavy off-road vehicle

2019-06-05
2019-01-1566
Drivetrain noise from heavy off-road vehicles mainly includes engine noise, drive shaft noise, wheel-side gear noise, tire pattern noise etc. They are the main noise source for such vehicles as they greatly influence the ride comfort of the passengers inside. This paper solved the drivetrain noise problem of a heavy off-road vehicle using the method of active noise control. Firstly, the vehicle is benchmarked and the noise problems are analyzed, while the noise sources are identified by analyzing the transmission principles of the drivetrain; secondly, active noise control strategies are made for the vehicle based on the noise profiles under various operating conditions; thirdly, the multiple parameters for active noise control are computed from simulations modeling the vehicle in idle, constant speed and acceleration respectively; lastly, road tests are conducted using the multiple parameters from the simulations and a noise reduction of 2-4 dB can be achieved in the whole vehicle.
Technical Paper

Determining dynamic vibro-acoustic characteristics and structural damping of an elastic monolithic panel

2019-06-05
2019-01-1538
Antonio Figueroa Shiloh Industries 47632 Halyard Drive Plymouth, MI 48170 Lingguang Chen and Sean F. Wu Department of Mechanical Engineering Wayne State University Detroit, MI 48202 Abstract Evaluations of the dynamic and acoustic responses of panels, partitions, and walls are of concern across many industries, from building home appliances, planning meeting rooms, to designing airplanes and passenger cars. Over the past few decades, search efforts for developing new methodologies and technologies to enable NVH engineers to acquire and correlate dynamically the relationship between input excitations and vibro-acoustic responses of arbitrary-shaped panels has grown exponentially. The application of a particular methodology or technology to the evaluation of a specific structure depends intimately on the goals and objectives of the NVH engineers and industries.
Technical Paper

An interactive approach for design and development of electric vehicle sounds

2019-06-05
2019-01-1568
Though the idea of masking the undesired tonal and intermittent noises arising from local ancillary elements of the powertrain of electric vehicles is clear for many automotive manufactures, the acoustic nature of such masking sound is still under development. Since this masking sound need also to represent their brand sound DNA, it needs to be creatively designed and clinically derived. As the task to bridge the design ideas into real vehicles involves usage of range of processes and extensive toolchains i.e. sound design creation, online parametrization via real tunings till the creation of production ready flash able datasets, this is the major ongoing challenge for automotive manufacturers. Considerably short development time and constraints in involved cost for such elaborative processes makes this task still tighter.
Technical Paper

Energy-Oriented Torque Allocation Strategy Design of 4WID Electric Vehicle Using Slope Information

2019-04-02
2019-01-0461
Abstract: The paper proposes an energy-oriented torque allocation strategy to reduce the energy consumption of four-wheel independent driving (4WID) electric vehicle (EV). The dynamic model of this 4WID EV is built up firstly. The chassis structure of the 4WID EV is studied. The EV uses four identical in-wheel motors as the driving mechanism, which are located in the wheels and electrically connected to the inverter and DC-DC converter. The whole vehicle system is powered by the battery. To compute its energy efficiency accurately, the measured efficiency map is fitted by the cubic spline interpolation method. The energy-oriented torque allocation strategy is designed by minimizing the energy consumption during vehicle driving and braking. According to the change of torque and speed required, the torque of front and rear axle cab be allocated dynamically by using the torque allocation coefficients.
Technical Paper

Variable Fidelity Simulation and Replay for Unmanned Autonomous Ground Vehicles

2019-04-02
2019-01-1074
Robotics and automation researchers rely heavily on simulation and modeling as testing and development tools, to offset the time and effort required working with complex physical systems, especially those requiring large vehicles and expansive environments, such as unmanned military vehicle research. With increasing system complexity, unmanned vehicle simulators are becoming almost equally complex, potentially growing cumbersome and almost as time and resource intensive to use as testing in a physical environment. This ever-increasing system complexity necessitates a different, variable approach to simulation: using both low- and high-fidelity simulation environments to speed up algorithm development of high-level vehicle behaviors in a light-weight, easy-to-setup simulator, without sacrificing fidelity where it’s most needed: low-level motion control, mobility and perception.
Technical Paper

Optimization and Evaluation of 12V/48V Architectures based on EDS Simulation and real Drive Cycles

2019-04-02
2019-01-0482
Both the rising number of electrical systems and the electrical part of the powertrain is considerably increasing the electrical power requirements of vehicles. As a consequence, multiple voltage supply levels have been introduced. However, even if only the 12V/48V configuration is considered, as in this paper, the number of possible electrical distribution system (EDS) architectures is strongly enlarged. Additional degrees of freedom are the allocation of the loads to the voltage levels, the dimensioning of new components, and the control strategy. Hence, the optimization of such architectures must be based on simulation, which allows the evaluation of a multitude of variants and test scenarios within an acceptable time frame. While strict cost, weight, and quality constraints must be upheld, the stability of the voltage supply is a major focus because a significant part of future electrical systems is highly safety-critical.
Technical Paper

Driver’s Response Prediction Using Naturalistic Data Set

2019-04-02
2019-01-0128
Evaluating the safety of Autonomous Vehicles (AV) is a challenging problem, especially in traffic conditions involving dynamic interactions. A thorough evaluation of the vehicle’s decisions at all possible critical scenarios is necessary for estimating and validating its safety. However, predicting the response of the vehicle to dynamic traffic conditions can be the first step in the complex problem of understanding vehicle’s behavior. This predicted response of the vehicle can be used in validating vehicle’s safety. In this paper, models based on Machine Learning were explored for predicting and classifying driver’s response. The Naturalistic Driving Study dataset (NDS), which is part of the Strategic Highway Research Program-2 (SHRP2) was used for training and validating these Machine Learning models.
Technical Paper

Research on the Model of Safety Boundary Condition Based on Vehicle Intersection Conflict and Collision

2019-04-02
2019-01-0132
Because of the high frequency and serious consequences of traffic accidents in the intersection area, it is of great significance to study the vehicle conflict and collision scenarios of the intersection area. Due to few actual crash accidents occurring in naturalistic driving studies data or field operational tests data, the data of traffic accident database should be also used to analyze the intersection conflict and collision. According to the China Field Operation Test (China-FOT) database and the China in Depth Accident Study (CIDAS) database, the distribution feature of the respective intersection scenario type is obtained from the data analysis. Based on the intersection scenario type, two characters of intersection conflict and collision, the environmental character and the vehicle dynamic character, are used to analyze for the integration process of intersection conflict and collision.
Technical Paper

An Immersive Vehicle-in-the-Loop VR Platform for Evaluating Human-to-Autonomous Vehicle Interactions

2019-04-02
2019-01-0143
The deployment of autonomous vehicles in real-world scenarios requires thorough testing to ensure sufficient safety levels. Driving simulators have proven to be useful testbeds for assisted and autonomous driving functionalities but may fail to capture all the nuances of real-world conditions. In this paper, we present a snapshot of the design and evaluation using a Cooperative Adaptive Cruise Control application of virtual reality platform currently in development at our institution. The platform is designed so to: allow for incorporating live real-world driving data into the simulation, enabling Vehicle-in-the-Loop testing of autonomous driving behaviors and providing us with a useful mean to evaluate the human factor in the autonomous vehicle context.
Technical Paper

Optimized Driving Cycle Oriented Control for a Highly Turbocharged Gas Engine

2019-04-02
2019-01-0193
The article is focused on a 1-D drive dynamic simulation of a highly turbocharged gas engine. A mono fuel CNG engine has been developed as a downsized replacement of the diesel engine for a medium size van. The basic engine parameters optimization is provided in a steady state operation and a control adjustment is applied to a dynamic vehicle model for a transient response improvement in highly dynamic operation modes of the WLTC (world light duty test cycle), selected for investigation. Vehicle simulation model with optimized control system is used for driving cycle fuel consumption and CO2 emissions predictions compared with the basic engine settings.
Technical Paper

Development of Virtual Fuel Economy Trend Evaluation Process

2019-04-02
2019-01-0510
With the advance of the autonomous vehicle development, the possibilities to improve fuel economy increased significantly by changing the driver or powertrain response under different traffic conditions. Development of new fuel-efficient driving strategies requires extensive experiments and simulations in the traffic. In this paper, a fuel efficiency simulator environment with existing simulator software such as Simulink, Vissim, Sumo, and CarSim will be developed to reduce the effort for developing new fuel-efficient algorithms. Simulation environment will be created by combining a mid-sized sedan MATLAB-Simulink model with a realistic traffic simulation. To simulate the traffic realistically, real roads from urban and highway sections will be modeled in the simulator with different traffic densities.
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