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Training / Education

Intelligent Vehicles From Functional Framework to Vehicle Architecture

Considering the increasing demand for vehicle intelligence, more and more students, engineers and researchers are involved in this field. It can be challenging, however, to gain an understanding of the growing variety of intelligent vehicle technologies and how they must function together effectively as a system.  This course provides an overview of state-of-the-art intelligent vehicles, presents a systematic framework for intelligent technologies and vehicle-level architecture, and introduces testing methodologies to evaluate individual and integrated intelligent functions.
Training / Education

Practical NVH Signal Processing Methods

Signal processing has become a critical tool in optimizing vehicle noise. This seminar will help you to understand the foundation common to all NVH data acquisition equipment including digitizing, windows, aliasing, averaging techniques, and common analysis functions such as the power spectrum, transfer function and coherence. Fundamental concepts such as filtering, modulation, convolution, and correlation, as well as specialized techniques used in rotating machinery such as adaptive re-sampling and order tracking, will be covered.
Training / Education

The Principles and Applications of Powertrain Controls for the New Energy Vehicles

课程概述 Powertrain controls for NEVs is one of the most complex and highly confidential areas of NEV research and development. This two-day course takes the seemingly complicated field of NEV powertrain controls and summarizes it into a few basic principles. The latest and most popular NEV powertrains are also reviewed to illustrate these principles and the controls strategies used. 对于新能源汽车来说,动力总成控制一直以来都是最复杂的和高度机密的领域之一。在这两天的课程中,我们将把看似复杂的动力总成控制系统总结出几条基本规则,同时,通过对当今其他车型动力控制系统的案例分析,来把这些规则和原理进行融会贯通。
Training / Education

Overview of the Role of Connected and Autonomous Vehicles in Smart Cities

There is been tremendous progress in the application of technology and artificial intelligence to connected and autonomous vehicles. At the same time, there have been considerable advances in data science and data analysis that allows large data sets to be managed for results. This course introduces big data and analytics, focusing on how these will be applied to data generated by autonomous and connected vehicles. These technologies will be explained within the context of a smart city.
Training / Education

Validating Requirements and Improving Specifications with Telematics Data

Field failures cause high warranty expenses, perhaps the highest quality cost. Failures occur when new designs are introduced, existing products are sold in new markets, and product specifications don’t reflect actual product usage. Any mistake in product specifications affects the entire product development process and cascades through the supply chain. New product requirements are developed using prior requirements, rely on customer surveys, use “expert” opinion, or are the result of compromises to meet timing or management direction. The resulting requirements may be excessive or insufficient.
Training / Education

Problem Solving and Root Cause Analysis

Problems arise in all facets of life. This is particularly true in the business world. Problems impact all aspects of an organization’s operations such as; product development, product quality, process efficiency, marketing efforts, human relations, leadership efforts, financial execution and ultimate profitability. If these problems are not addressed, they inhibit the operation of the business and can eventually result in total failure. The ways in which problems are addressed, and the methodologies employed, determine the probability of successful problem resolution.
Training / Education

Introduction to Car Hacking with CANbus

Vehicle cybersecurity vulnerabilities could impact a vehicle's safe operation. Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.
Training / Education

Photogrammetry and Analysis of Digital Media

Photographs and video recordings of vehicle crashes and accident sites are more prevalent than ever, with dash mounted cameras, surveillance footage, and personal cell phones now ubiquitous. The information contained in these pictures and video provide critical information to understanding how crashes occurred, and in analyzing physical evidence. This course teaches the theory and techniques for getting the most out of digital media, including correctly processing raw video and photographs, correcting for lens distortion, and using photogrammetric techniques to convert the information in digital media to usable scaled three-dimensional data.
Training / Education

Big Data Analytics for Connected, Autonomous Vehicles and Smart Cities

There is growing interest in the concept of a smart city and how these advanced technologies will improve the quality of living and make a city more attractive to visitors, commerce and industry. This course fills an unmet need for defining and explaining the relationship between connected and autonomous vehicles (CAVs) and smart city transportation. It is apparent that CAVs will achieve the best results when integrated with current and emerging urban infrastructure for transportation. This course addresses such integration from technology, organizational, policy and business model perspectives.
Training / Education

Vehicle Crash Reconstruction Principles and Technology

Crash reconstruction is a scientific process that utilizes principles of physics and empirical data to analyze the physical, electronic, video, audio, and testimonial evidence from a crash to determine how and why the crash occurred. This course will introduce this reconstruction process as it gets applied to various crash types - in-line and intersection collisions, pedestrian collisions, motorcycle crashes, rollover crashes, and heavy truck crashes. Methods of evidence documentation will be covered. Analysis methods will also be presented for electronic data from event data recorders and for video.
Training / Education

Automotive Cybersecurity Certification Level One

The automotive industry is challenged with new quality requirements due to the increasing digitalization, interaction, and automation of vehicles. It is essential that road vehicles and their components are being developed with cybersecurity in mind. This has a significant impact on vehicle development and the entire life cycle. This course has been developed in cooperation with TÜV SÜD. The certification concept behind the training comprises a multi-stage qualification and is characterized by a high level of practical bearing. Course participants gain holistic knowledge of vehicle quality and risk management through this course.

Cybersecurity for Cyber-Physical Vehicle Systems, 2017

This paper focuses on cybersecurity for cyber-physical vehicle systems. Topics include: design, development and implementation of security-critical cyber-physical vehicle systems, cybersecurity design, development, and implementation strategies, analysis methodologies, process and life-cycle management, comparisons of system safety and cybersecurity, etc. Application areas include: security-critical automotive systems, as well as other security-critical ground vehicle and aviation systems.

Cyber Security for Cyber - Physical Vehicle Systems, 2014

This technical paper collection focuses on cybersecurity for cyber-physical vehicle systems. Topics include: design, development and implementation of security-critical cyber-physical vehicle systems, cybersecurity design, development, and implementation strategies, analysis methodologies, process and life-cycle management, comparisons of system safety and cybersecurity, etc. Application areas include: security-critical automotive systems as well as other security-critical ground vehicle and aviation systems.
Technical Paper

Experimental Determination of the Noise Emitting Parts of a Rotating Tire in the European Research Project TINO

One of the objectives in the European Research project TINO is to identify, in detail, the surfaces of a rotating tire which actually generate the radiated noise. The approach is completely experimental and is based upon the ASQ (Airborne Sound Quantification) technique. The quantification of the contribution of the different tire surfaces to the sound pressure measured under defined conditions is carried out through a process of near-field measurements during rotation of the tire and static acoustic transfer function measurements. The ASQ method is further developed and tested when focussing at the applications. In first instance, the procedure has been validated and fine-tuned under well-controlled boundary conditions at a tire chassis dynamometer. The results of this first investigation served also as a “reference” set of data which has been used for verification and validation of numerical tire models.
Technical Paper

Tire/Pavement Interaction Noise Source Identification Using Multi-Planar Nearfield Acoustical Holography

In this study, multi-planar Nearfield Acoustical Holography (NAH) is used to investigate noise radiated from the front, side and rear areas of single tires on a two-wheel trailer. Contributions to the radiated noise from the leading edge, trailing edge, and sidewall of the tire are identified. Two tires - an experimental monopitch tire and a production passenger car tire - are evaluated on a smooth asphalt pavement at 58 km/hr. From the measured complex pressure, acoustic intensity is reconstructed on three planes surrounding the tire using modified NAH procedures. Additionally, sound power levels are presented in tabulated and spectra forms. Tire noise generating mechanisms are inferred based on the results.
Technical Paper

Soft Control – Utilizing Existing I/O

The Timken Company's Faircrest Steel Plant has numerous automated control systems. The Raw Material Handling System and a grinder application on the Billet Conditioning system needed upgrading; however, to control costs the upgrades had to use the existing I/O. The overall functionality of these two systems is vastly different. Soft control packages proved capable of interfacing with the existing I/O, satisfied the functional needs of the systems, and enhanced the overall functionality of the systems.
Technical Paper

Neural Network-Based Diesel Engine Emissions Prediction Using In-Cylinder Combustion Pressure

This paper explores the feasibility of using in-cylinder pressure-based variables to predict gaseous exhaust emissions levels from a Navistar T444 direct injection diesel engine through the use of neural networks. The networks were trained using in-cylinder pressure derived variables generated at steady state conditions over a wide speed and load test matrix. The networks were then validated on previously “unseen” real-time data obtained from the Federal Test Procedure cycle through the use of a high speed digital signal processor data acquisition system. Once fully trained, the DSP-based system developed in this work allows the real-time prediction of NOX and CO2 emissions from this engine on a cycle-by-cycle basis without requiring emissions measurement.
Technical Paper

Artificial Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles

The modeling of the energy storage system (ESS) of a Hybrid Electric Vehicle (HEV) poses a considerable challenge. The problem is not amenable to physical modeling without simplifying assumptions that compromise the accuracy of such models. An alternative is to build conventional empirical models. Such models, however, are time-consuming to build and are data-intensive. In this paper, we demonstrate the application of an artificial neural network (ANN) to modeling the ESS. The model maps the system's state-of-charge (SOC) and the vehicle's power requirement to the bus voltage and current. We show that ANN models can accurately capture the complex, non-linear correlations accurately. Further, we propose and deploy our new technique, Smart Select, for designing ANN training data.
Technical Paper

Investigation of a Roll Control System for an Off-road Vehicle

The current popularity of the Sport Utility Vehicle (SUV) market has led to new developments aiming to increase product performance. Such vehicles pose a significant challenge as they must perform to a high standard over a large variety of road conditions. Previously, emphasis has been placed on off-road ability. However, SUVs are now seen as an alternative to conventional luxury cars, and hence are expected to perform similarly, but without significantly degrading off-road performance. The introduction of a roll control system can achieve body roll levels lower than a conventional sports saloon, whilst improving off-road ability by removing the compromises associated with conventional anti-roll bars. This paper investigates the characteristics of such a system by developing a computer simulation of the vehicle and the associated roll control scheme.
Technical Paper

Bosch ESP Systems: 5 Years of Experience

Although the total number of car occupants involved in accidents in Germany has not significantly reduced during the past 10 years, the number of fatalities has steadily decreased. Most of the severe accidents result from a loss of control of the car. The problem of the driver losing control of his car will be explained. This problem is then used to formulate the goal for the vehicle dynamics control system ESP (Electronic Stability Program, also known as VDC). The approach chosen to reach this goal will then be shown. It will be shown that the vehicle slip angle is a crucial indicator for the maneuverability of the automobile. Since the complete vehicle state is not readily available, estimation algorithms are used to supply the control algorithms with sufficient information. With the automatic control of the slip angle the required yaw moment can be generated by individual wheel slip control.