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Viewing 31 to 60 of 13123
2015-04-14
Journal Article
2015-01-0452
Junqi Yang, Zhenfei Zhan, Chong Chen, Yajing Shu, Ling Zheng, Ren-Jye Yang, Yan Fu, Saeed Barbat
Abstract Simulation based design optimization has become the common practice in automotive product development. Increasing computer models are developed to simulate various dynamic systems. Before applying these models for product development, model validation needs to be conducted to assess their validity. In model validation, for the purpose of obtaining results successfully, it is vital to select or develop appropriate metrics for specific applications. For dynamic systems, one of the key obstacles of model validation is that most of the responses are functional, such as time history curves. This calls for the development of a metric that can evaluate the differences in terms of phase shift, magnitude and shape, which requires information from both time and frequency domain. And by representing time histories in frequency domain, more intuitive information can be obtained, such as magnitude-frequency and phase-frequency characteristics.
2015-04-14
Technical Paper
2015-01-0464
Christian-Andreas Schumann, Eric Forkel, Thomas Klein, Dieter Gerlach, Egon Mueller
Abstract Total quality is becoming increasingly important for competitiveness. In order to achieve high quality, the requirements must be continuously compared with the results achieved in the process. This is done by means of measurement parameters and comparative values. The acquisition of the data requires appropriate measurement methods. The measurement methods and procedures have to be constantly developed in order to measure more precisely and to generate an even higher quality. Thus, the achieved product quality can be determined absolutely and relatively. If deviations from the planned quality parameters occur, the operator will be able to intervene immediately. The presented procedure is one of the noncontact (optical) measurement methods using CMMs, 3D scanners and 3D cameras. It is a combination of stereo photography and photogrammetry.
2015-04-14
Journal Article
2015-01-0468
Mingxian Wang, Wei Chen, Yan Fu, Yong Yang
Abstract As the world's largest auto producer and consumer, China is both the most promising and complex market given the country's rapid economic growth, huge population, and many regional and segment preference differences. This research is aimed at developing data-driven demand models for customer preference analysis and prediction under a competitive market environment. Regional analysis is first used to understand the impact of geographical factors on customer preference. After a comprehensive data exploration, a customer-level mixed logit model is built to shed light on fast-growing vehicle segments in the Chinese auto market. By combining the data of vehicle purchase, consideration, and past choice, cross-shopping behaviors and brand influence are explicitly modeled in addition to the impact of customer demographics, usage behaviors, and attributes of vehicles.
2015-04-14
Technical Paper
2015-01-0459
Vesna Savic, Louis Hector, Hesham Ezzat, Anil Sachdev, James Quinn, Ronald Krupitzer, Xin Sun
Abstract This paper presents an overview of a four-year project focused on development of an integrated computational materials engineering (ICME) toolset for third generation advanced high-strength steels (3GAHSS). Following a brief look at ICME as an emerging discipline within the Materials Genome Initiative, technical tasks in the ICME project will be discussed. Specific aims of the individual tasks are multi-scale, microstructure-based material model development using state-of-the-art computational and experimental techniques, forming, toolset assembly, design optimization, integration and technical cost modeling. The integrated approach is initially illustrated using a 980MPa grade transformation induced plasticity (TRIP) steel, subject to a two-step quenching and partitioning (Q&P) heat treatment, as an example.
2015-04-14
Journal Article
2015-01-0460
Saket Kansara, Sumeet Parashar, Zhendan Xue
Abstract Decision making in engineering design is complicated, especially when dealing with high-dimensional data. Modern software tools are able to produce a large amount of data while performing optimization studies. A typical optimization problem with many objectives may produce 100s or even 1000s of Pareto Optimal solutions. It is a challenge to analyze this data and make a decision about which design/s to choose for further testing or as a final design. To tackle the problem, two data analysis techniques are used in this paper. Partitive Clustering (PC) is used to locate groups of similar designs in the dataset while Principal Component Analysis (PCA) is used to reduce the dimensionality of the data and visualize it in two and three dimensions. Although these techniques can be used independently, when used together, they prove to be a tremendous help in decision making. This paper underlines the benefit of using these two methods together.
2015-04-14
Technical Paper
2015-01-0446
Ronald Lannan
Abstract Use of Model-Based Design (MBD) processes for embedded controls software development has been purported for nearly the last decade to result in cost, quality, and delivery improvements. Initially the business case for MBD was rather vague and qualitative in nature, but more data is now becoming available to support the premise for this development methodology. Many times the implementation of MBD in an organization is bundled with other software process improvements such as CMMI or industry safety standards compliance, so trying to unbundle the contributions from MBD has been problematic. This paper addresses the dominant factors for MBD cost savings and the business benefits that have been realized by companies in various industries engaged in MBD development. It also summarizes some key management best practices and success factors that have helped organizations achieve success in MBD deployment.
2015-04-14
Technical Paper
2015-01-0447
Venkatesh Agaram, Julian Venegas
Abstract System dynamics modeling of complex processes such as product development, manufacturing, and service, is an efficient approach for assessing value potential of different business transformation alternatives at small and large enterprises. Process elements such as generation of concepts, detailed designs, pilot level plant trials, etc. can be modeled including first-pass work, testing and review, rework identification and defect fixing, along with release readiness, staffing, schedule pressures, overtime and many other business metrics. Enterprise level processes, with their complex logic loops, can be represented as a system of coupled nonlinear differential equations, whose solutions can reveal the intricate underlying dynamics. Design of experiments, performed on the system dynamics models representing the business processes, are an inexpensive way of gaining insights into the impact of interactions between the numerous process control variables.
2015-04-14
Technical Paper
2015-01-0477
Sun Qi, Zhang Wen, Wan Liangyu, Wang Xiaochuan
Abstract The vehicle dimension parameters of the domestic passenger car in current Chinese market were analyzed. Combined with the human body golden ratio, a probability and statistics method was used to propose an intrinsic link between vehicle dimension and platform dimension, an intrinsic link between the dimensions of a vehicle. The proportion of coordination in different styles of models was analyzed also. A reference method was provided for the subsequent development models to define the dimension of the vehicle.
2015-04-14
Technical Paper
2015-01-0278
Ingo Stürmer, Heiko Doerr, Thomas End
Managing ISO 26262 software development projects is a challenging task. This paper discusses major challenges in managing safety-critical projects from a high-level perspective, i.e. from a manager's point of view. We address managers (directors) with full project responsibility including software and hardware teams. Rather than discussing how to fulfill (technical) requirements stated by the ISO standard, we highlight major challenges and tough decisions a manager has to face on her way from project start up to delivery of the safety case. We discuss important project management topics and best practices such as negotiation issues with the contractor (OEM), selection of the appropriate functional safety manager, general ISO 262626-related project management matters, as well as contractual issues with supplier such as development interface agreement. We discuss the topics on the basis of real-life experience we collected during several ISO 26262 management projects.
2015-04-14
Technical Paper
2015-01-0272
Ludovic Pintard, Michel Leeman, Abdelillah Ymlahi-Ouazzani, Jean-Charles Fabre, Karama Kanoun, Matthieu Roy
Abstract The complexity and the criticality of automotive electronic embedded systems are steadily increasing today, and that is particularly the case for software development. The new ISO 26262 standard for functional safety is one of the answers to these challenges. The ISO 26262 defines requirements on the development process in order to ensure the safety. Among these requirements, fault injection (FI) is introduced as a dedicated technique to assess the effectiveness of safety mechanisms and demonstrate the correct implementation of the safety requirements. Our work aims at developing an approach that will help integrate FI in the whole development process in a continuous way, from system requirements to the verification and validation phase.
2015-04-14
Technical Paper
2015-01-0271
Fabian Joerg Uwe Koark, Christian Beul
Abstract Functional Safety engineering aligned to an international standard is already a long-lasting discussion. Nevertheless, the requirements of process conformance to assure functional safety have been detailed in description and interpretation. The ISO 26262 is seen as state-of-the-art Functional Safety engineering basement in Europe, the closer interpretation of the IEC 61508 is claimed by assessors in America and Asia. This work shows how stagnation in engineering process improvement is solved by re-engineering projects. The benefits of re-engineering are described in this context. A four month, proven-in-practice project plan is explained. The expected results of such a project are given as generic goals for similar projects. A practice report shows the realistic outcome of such a project for the Chinese automotive industry. The report shows how the motivation of the involved engineers was gained and how existing engineering documentation was used in an efficient way.
2015-04-14
Technical Paper
2015-01-0293
Yaamini Devi Loganathan
Abstract Indian automobile production increased at a CAGR of 12.2% over FY05-FY13, with a decline in Commercial Vehicle (CV) growth rate during FY09 and FY13. Globally, automotive industry suffered a decline in FY09 due to the global financial crisis and again on a decline in FY12 due to the European sovereign debt crisis. Apart from the global events, there are various internal risks the Indian OEMs need to consider: 1) regulatory risk due to excise duty hikes, decontrol of fuel pricing, etc., 2) market risks due to currency, inflation, interest rates, material cost, 3) industry risks due to increased competition, price war, etc. In this scenario, Indian Original Equipment Manufacturers (OEMs) need to constantly recalibrate their strategies to the changing market dynamics and associated risks. A research on megatrends affecting the Indian CV industry has identified more focus on Total Cost of Ownership (TCO) as one of the megatrend.
2015-04-14
Technical Paper
2015-01-0130
Julio Rodriguez, Ken Rogich, Philip Pidgeon, Kim Alexander, John R. Wagner
Abstract Driving skills and driving experience develop differently between a civilian and a military service member. Since 2000, the Department of Defense reports that two-thirds of non-related to war fatalities among active duty service members were due to transportation-related incidents. In addition, vehicle crashes are the leading non-related to war cause of both fatalities and serious injuries among active duty Marines. A pilot safe driving program for Marines was jointly developed by the Richard Petty Driving Experience and Clemson University Automotive Safety Research Institute. The pilot program includes four modules based on leading causes of vehicle crashes, and uses classroom and behind the wheel components to improve and reinforce safe driving skills and knowledge. The assessment results of this pilot program conducted with 192 Marines in September 2011 at Camp LeJeune, NC are presented and discussed.
2015-04-14
Technical Paper
2015-01-0137
Ying Fan
Abstract Accurate risk prioritizing is directly related to the effectiveness of risk management. To overcome the shortage of the single numerical evaluation value, aiming at improving the accuracy of risk factors, a new risk priority method was proposed based on geometric characteristics of triangular fuzzy number and Analytic Hierarchy Process (AHP). This method was established on the basis of the fuzzy description of risk factors from experts, after the risk evaluation system was established. Then the fuzzy description of risk was processed with AHP, and fuzzy weights of risk factors were obtained and calculated it by using the geometric characteristics of triangular fuzzy number. Finally, the detailed ranking of risk factors by severity, probability and detection of risk was obtained. The risk priority of forklift system was processed to analyze the feasibility of this method.
2015-04-14
Technical Paper
2015-01-0148
Georg Macher, Harald Sporer, Eric Armengaud, Christian Kreiner
Abstract Increasing demands for safety, security, and certifiability of embedded automotive systems require additional development effort to generate the required evidences that the developed system can be trusted for the application and environment it is intended for. Safety standards such as ISO 26262 for road vehicles have been established to provide guidance during the development of safety-critical systems. The challenge in this context is to provide evidence of consistency, correctness, and completeness of system specifications over different work-products. One of these required work-products is the hardware-software interface (HSI) definition. This work-product is especially important since it defines the interfaces between different technologies. Model-based development (MBD) is a promising approach to support the description of the system under development in a more structured way, thus improving resulting consistency.
2015-04-14
Technical Paper
2015-01-0144
Diljith Muthuvana, Renuka prasad
Abstract System Engineering is a broad concept that can be applied to any business case to help transform the engineering and the organizational needs into understandable, unambiguous, achievable tasks with a fixed time-line. In today's dynamics of the demanding business needs it has become inevitable to think for solutions that guarantee faster delivery while maintaining the quality standards. Traditional processes tend to fall back when implemented to satisfy the challenges faced by engineers in real world while achieving the business need. Many processes have evolved based on the lessons learnt while organization strives towards continuous improvement and adhering to quality standards. Agile, Lean, Kanban are few proven set of principles and practices that has helped to deliver expected results.
2015-04-14
Technical Paper
2015-01-0157
M Abu Anas Shuvom, M Zahurul Haq
Abstract As combustion can vary widely between engine cycles if left uncontrolled, strict and robust control is required to meet optimum performance at different operating conditions. In this research, intelligent control techniques implemented on a Gasoline Direct Compression Injection (GDCI/GDI) engine. A research four cylinder 2.0 L GDI engine modeled with optimal control hardware that is frequently called as the conceptual Cybernetic intelligent GDI or ‘iGDI’ engine. The engine features Free Valve Actuation (FVA) hardware and precision fuel injector connected directly to the engine cylinder that found assistive for control flexibility by technical assessments. Then a mechatronic neural control approach is proposed and discussed with adaptive control techniques. Adaptive and predictive neural network control architectures developed for two distinct plant operation modes.
2015-04-14
Journal Article
2015-01-0168
Steffen Lampke, Simon Schliecker, Dirk Ziegenbein, Arne Hamann
Abstract The underlying theories of both control engineering and real-time systems engineering assume idealized system abstractions that mutually neglect central aspects of the other discipline. Control engineering theory, on the one hand, usually assumes jitter free sampling and constant input-output latencies disregarding complex real-world timing effects. Real-time engineering theory, on the other hand, uses abstract performance models that neglect the functional behavior, and derives worst-case situations that have little expressiveness for control functionalities in physically dominated automotive systems. As a consequence, there is a lot of potential for a systematic co-engineering between both disciplines, increasing design efficiency and confidence. We have taken a standard control-engineering tool, Simulink, and combined it with state-of-the-art real-time system design and analysis tools, SymTA/S and TraceAnalyzer from Symtavision.
2015-04-14
Technical Paper
2015-01-0167
Amrut A. Patki
Abstract Feature Addition or Enhancement is a necessary fragment of product development. Feature Addition or Enhancement is a result of one of the following: scope addition to new product development or customer requirement on current products. When it comes to Scope Addition, most of the times, first phase design and engineering will have been completed. Feature Addition or Enhancement because of scope addition is done to improve quality, cost or marketability. Current or future customer request for a feature addition or enhancement to meet their needs leads to customer requirement Feature Addition or Enhancement. Most of the times, vehicle has already been launched and design is frozen. In both the cases, design and engineering is challenged by Time, Effort and Cost. Model Based Design approach helps save some time for implementation. It also helps to improve required effort and reduces the cost of the feature by optimization.
2015-04-14
Technical Paper
2015-01-1664
Amardeep Singh, Anindya Deb, Amit Mohan Mensi, Ranga Srinivas Gunti
Despite the considerable advancements made in the applications of CAE for evaluation of an IC engine, an integrated approach to the design of such engines based on thermo-mechanical considerations appears to be lacking. The usage of heterogeneous tools for thermal, mechanical and vibration analysis in the industry decreases the efficiency of the product development process. In an effort to reduce this bottleneck, a unified framework is presented here according to which heat transfer and thermo-mechanical stress analysis of a four-stroke single cylinder diesel engine is carried out in a unified manner with the aid of a multi-physics explicit finite element analysis tool, LS-DYNA, with robust contact interfaces leading to a realistic representation of engine dynamics.
2015-04-14
Journal Article
2015-01-0470
Joanna Rakowska, Amir Chator, Bruno Barthelemy, Michael Lee, Shawn Morgans, Jeffrey Laya, Gregory Zinn, Ching-Hung Chuang, Sreekanth Reddy Gondipalle
Abstract Designing a vehicle body involves meeting numerous performance requirements related to different attributes such as NVH, Durability, Safety, and others. Multi-Disciplinary Optimization (MDO) is an efficient way to develop a design that optimizes vehicle performance while minimizing the weight. Since a body design evolves in course of the product development cycle, it is essential to repeat the MDO process several times as a design matures and more accurate data become available. This paper presents a real life application of the MDO process to reduce weight while optimizing performance over the design cycle of the 2015 Mustang. The paper discusses the timing and results of the applied Multi-Disciplinary Optimization process. The attributes considered during optimization include Safety, Durability and Body NVH.
2015-04-14
Technical Paper
2015-01-0974
Aaron Brooker, Jeffrey Gonder, Sean Lopp, Jacob Ward
Abstract The Automotive Deployment Options Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energy's Vehicle Technologies Office. It estimates technology improvement impacts on future U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method to estimate vehicle sales. Specifically, it estimate sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution of importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced.
2015-04-14
Technical Paper
2015-01-0980
Katsuya Minami, Yasuhiro Yoshimi
Abstract This study aims to build a conceptual simulation used at the early stage of PHEV development. This simulation enables to design vehicle concept and fundamental architecture with regard to fuel economy, vehicle acceleration and electric range. The model based on forward-looking method comprises of plant-model and controller-model which are made by one-dimensional simulation tool “GT-SUITE” and Matlab/SIMULINK respectively. In order to automatically couple between them and to implement iterative calculations of SOC (State-of-Charge) convergence, optimization and automation tool “modeFRONTIER” was used. As a case study of this simulation, we adopted series-parallel type plug-in hybrid electric vehicle (PHEV) and demonstrated the results on fuel economy of a legislative driving cycle and 0-60mph vehicle acceleration.
2015-04-14
Journal Article
2015-01-1383
Andrew Blum, Richard Thomas Long
Abstract Fires involving cars, trucks, and other highway vehicles are a common concern for emergency responders. In 2013 alone, there were approximately 188,000 highway vehicle fires. Fire Service personnel are accustomed to responding to conventional vehicle (i.e., internal combustion engine [ICE]) fires, and generally receive training on the hazards associated with those vehicles and their subsystems. However, in light of the recent proliferation of electric drive vehicles (EDVs), a key question for emergency responders is, “what is different with EDVs and what tactical adjustments are required when responding to EDV fires?” The overall goal of this research program was to develop the technical basis for best practices for emergency response procedures for EDV battery incidents, with consideration for suppression methods and agents, personal protective equipment (PPE), and clean-up/overhaul operations.
2015-04-14
Technical Paper
2015-01-0461
Dennis Craggs
Abstract Automobile companies recognized the need to understand how customers use their vehicles. To this end, telediagnostic modules were installed on fleet vehicles, with the consent of the owner, to collect and store usage data. This data was uploaded to a server when the module was able to communicate via Wi-Fi. The volume of data is enormous. The size of a single vehicle file can be over six gigabytes, contain millions of records, and contain hundreds of millions of measurements. Each vehicle needs to be analyzed and the results from different vehicles combined to determine typical and extreme vehicle usage. With hundreds or thousands of vehicles to be analyzed, the analytic task is daunting. To analyze continuous data, like speed, frequency histograms have been used. It will be shown here that the cumulative percentile histogram provides better information and can display single and multiple vehicle usage patterns.
2015-04-14
Journal Article
2015-01-1208
Sinisa Jurkovic, Khwaja Rahman, Nitin Patel, Peter Savagian
This paper presents the design and performance details of electric propulsion system for GM's second generation Extended Range Electric Vehicle (EREV). First generation Chevrolet Volts have been driven over half a billion miles in North America from October 2013 through September 2014, 74% of which were all-electric. The second generation of Volt brings a significant mass reduction and increased performance, EV driving range and fuel economy while simultaneously reducing rare earth content in its traction electric motors. The electric propulsion system is built on two electric machines; both PMAC topology. While hybrid-electric vehicles are gaining in popularity in hopes of addressing cleaner, energy sustainable technology in transportation, materials sustainability and rare earth dependence mitigation has not been the first priority in the hybrids available on the market today.
2015-04-14
Journal Article
2015-01-1526
Yasuyuki Onishi, Thomas Ramsay, Timothy Juan, James McKillen
Abstract A sports car exhibits many challenges from an aerodynamic point of view: drag that limits top speed, lift - or down force - and balance that affects handling, brake cooling and insuring that the heat exchangers have enough air flowing through them under several vehicle speeds and ambient conditions. All of which must be balanced with a sports car styling and esthetic. Since this sports car applies two electric motors to drive front axle and a high-rev V6 turbo charged engine in series with a 9-speed double-clutch transmission and one electric motor to drive rear axle, additional cooling was required, yielding a total of ten air cooled-heat exchangers. It is also a challenge to introduce cooling air into the rear engine room to protect the car under severe thermal conditions. This paper focuses on the cooling and heat resistance concept.
2015-04-14
Technical Paper
2015-01-0274
John Thomas, John Sgueglia, Dajiang Suo, Nancy Leveson, Mark Vernacchia, Padma Sundaram
Abstract The introduction of new safety critical features using software-intensive systems presents a growing challenge to hazard analysis and requirements development. These systems are rich in feature content and can interact with other vehicle systems in complex ways, making the early development of proper requirements critical. Catching potential problems as early as possible is essential because the cost increases exponentially the longer problems remain undetected. However, in practice these problems are often subtle and can remain undetected until integration, testing, production, or even later, when the cost of fixing them is the highest. In this paper, a new technique is demonstrated to perform a hazard analysis in parallel with system and requirements development. The proposed model-based technique begins during early development when design uncertainty is highest and is refined iteratively as development progresses to drive the requirements and necessary design features.
2015-04-14
Technical Paper
2015-01-0131
Nick Smith
Abstract Demand for increased functionality in automotive electrical/electronic (E/E) systems is being propelled by both customers and various governmental regulations and requirements. This demand for more capabilities also introduces new challenges for OEMs who are responsible for implementing these functions. Of course, the cost of system development and manufacturing are considerable, but there are challenges beyond cost that the OEM must deal with, such as increased weight, reliability and quality concerns, exponentially-increasing complexity, and the government requirements. From the point of view of the electrical system platform as a whole, it provides the unique role of integrating all the individual E/E systems. When integrated, unanticipated problems can emerge that require design modifications. Often, these are discovered way down the design path, which results in delays in the program that can lead to missed deadlines and costly rework.
2015-04-14
Technical Paper
2015-01-0242
Nick Smith
Abstract Correct-by-construction design processes can be dramatically enhanced using simulation techniques, especially early in the design process. But simulation is too often the preserve of specialist staff, who may work disconnected from day-to-day design updates. This paper highlights simulation and analysis tools that can be used by every electrical engineer, addressing topics ranging from functional verification to component sizing to failure modes and effects analysis. Furthermore, valuable results can be obtained with the simplest of models; and the models themselves can mature as the organization's use of simulation matures.
Viewing 31 to 60 of 13123

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