Showing papers by "Ford Motor Company published in 2004"
TL;DR: The LCA framework and procedure is introduced, how to define and model a product's life cycle is outlined, and an overview of available methods and tools for tabulating and compiling associated emissions and resource consumption data in a life cycle inventory (LCI) is provided.
2,357 citations
01 Feb 2004
TL;DR: An approach to the online learning of Takagi-Sugeno (TS) type models is proposed, based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Abstract: An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning. The rule-base and parameters of the TS model continually evolve by adding new rules with more summarization power and by modifying existing rules and parameters. In this way, the rule-base structure is inherited and up-dated when new data become available. By applying this learning concept to the TS model we arrive at a new type adaptive model called the Evolving Takagi-Sugeno model (ETS). The adaptive nature of these evolving TS models in combination with the highly transparent and compact form of fuzzy rules makes them a promising candidate for online modeling and control of complex processes, competitive to neural networks. The approach has been tested on data from an air-conditioning installation serving a real building. The results illustrate the viability and efficiency of the approach. The proposed concept, however, has significantly wider implications in a number of fields, including adaptive nonlinear control, fault detection and diagnostics, performance analysis, forecasting, knowledge extraction, robotics, behavior modeling.
956 citations
TL;DR: The data suggest that EPO-increased VEGF and BDNF may be involved in angiogenesis and neurogenesis, which could contribute to functional recovery.
Abstract: Background and Purpose— Erythropoietin (EPO) promotes proliferation and differentiation of erythroid progenitors and the survival of maturing erythroid cells. Here, we investigated the role of EPO in brain repair after stroke. Methods— Rats were treated with recombinant human EPO (rhEPO) at 24 hours after the onset of embolic stroke. An array of behavior tests was performed. Rats were euthanized 28 days after stroke for measurements of infarct volume, angiogenesis, and neurogenesis. In vitro, neurospheres derived from the subventricular zone (SVZ) of the rat and cerebral endothelial cells derived from the mouse were treated with rhEPO. Capillary-like tube formation and neuronal differentiation were measured. Results— Treatment with rhEPO significantly improved functional recovery, along with increases in density of cerebral microvessels at the stroke boundary and numbers of BrdU, doublecortin, and nestin immunoreactive cells in the SVZ. rhEPO treatment significantly increased brain levels of vascular endo...
727 citations
TL;DR: This article reviewed empirical research and theory on the relationship between workforce diversity and organizational performance, and outlined practical steps HR practitioners can take to manage diversity initiatives successfully and enhance the positive outcomes, and suggested several conditions necessary and sufficient conditions for diversity initiatives to succeed and reap organizational benefits.
Abstract: Research findings from industrial and organizational psychology and other disciplines cast doubt on the simple assertion that a diverse workforce inevitably improves business performance. Instead, research and theory suggest several conditions necessary to manage diversity initiatives successfully and reap organizational benefits. This article reviews empirical research and theory on the relationship between workforce diversity and organizational performance and outlines practical steps HR practitioners can take to manage diversity initiatives successfully and enhance the positive outcomes. © 2004 Wiley Periodicals, Inc.
462 citations
TL;DR: Several common themes arose from the discussion, including differentiating between design of experiments and design and analysis of computer experiments, visualizing experimental results and data from approximation models, capturing uncertainty with approximation methods, and handling problems with large numbers of variables.
Abstract: This paper summarizes the discussion at the Approximation Methods Panel that was held at the 9
th
AIAA/ISSMO Symposium on Multidisciplinary Analysis & Optimization in Atlanta, GA on September 2–4, 2002. The objective of the panel was to discuss the current state-of-the-art of approximation methods and identify future research directions important to the community. The panel consisted of five representatives from industry and government: (1) Andrew J. Booker from The Boeing Company, (2) Dipankar Ghosh from Vanderplaats Research & Development, (3) Anthony A. Giunta from Sandia National Laboratories, (4) Patrick N. Koch from Engineous Software, Inc., and (5) Ren-Jye Yang from Ford Motor Company. Each panelist was asked to (i) give one or two brief examples of typical uses of approximation methods by his company, (ii) describe the current state-of-the-art of these methods used by his company, (iii) describe the current challenges in the use and adoption of approximation methods within his company, and (iv) identify future research directions in approximation methods. Several common themes arose from the discussion, including differentiating between design of experiments and design and analysis of computer experiments, visualizing experimental results and data from approximation models, capturing uncertainty with approximation methods, and handling problems with large numbers of variables. These are discussed in turn along with the future directions identified by the panelists, which emphasized educating engineers in using approximation methods.
424 citations
TL;DR: Findings indicate that in the adult stroke brain, increases in recruitment of neural stem cells contribute to stroke-induced neurogenesis, and that newly generated neurons migrate from the SVZ to the ischemic striatum.
Abstract: Stroke increases neurogenesis. The authors investigated whether neural stem cells or progenitor cells in the adult subventricular zone (SVZ) of rats contribute to stroke-induced increase in neurogenesis. After induction of stroke in rats, the numbers of cells immunoreactive to doublecortin, a marker for immature neurons, increased in the ipsilateral SVZ and striatum. Infusion of an antimitotic agent (cytosine-beta-D-arabiofuranoside, Ara-C) onto the ipsilateral cortex eliminated more than 98% of actively proliferating cells in the SVZ and doublecortin-positive cells in the ipsilateral striatum. However, doublecortin-positive cells rapidly replenished after antimitotic agent depletion of actively proliferating cells. Depleting the numbers of actively proliferating cells in vivo had no effect on the numbers of neurospheres formed in vitro, yet the numbers of neurospheres derived from stroke rats significantly (P<0.05) increased. Neurospheres derived from stroke rats self-renewed and differentiated into neurons and glia. In addition, doublecortin-positive cells generated in the SVZ migrated in a chainlike structure toward ischemic striatum. These findings indicate that in the adult stroke brain, increases in recruitment of neural stem cells contribute to stroke-induced neurogenesis, and that newly generated neurons migrate from the SVZ to the ischemic striatum.
380 citations
TL;DR: In this paper, a tandem differential mobility analyzer (DMA) is employed to measure the effective density, mass per unit mobility volume, of diesel exhaust particulate matter (PM), with slight deviations suggestive of more compact structures noted for particles at the small end of the size distribution.
336 citations
TL;DR: In this paper, an extensive, systematic first-principles study of the thermodynamics of all the reported precipitate phases of Mg-Si-Cu alloys was performed using density functional-based calculations in both the local density and generalized gradient approximations.
306 citations
TL;DR: In this paper, generalized gradient approximation (GGA) calculations were used to provide an accurate picture of phase stability, phase stability and structure, diffusion, and defect binding in the Al-H system.
Abstract: Despite decades of study, several key aspects of the Al-H system remain the subject of considerable debate. In an effort to elucidate some of these unknowns, we perform a systematic study of this system using first-principles density-functional calculations. We show that generalized gradient approximation (GGA) calculations provide an accurate picture of energetics, phase stability and structure, diffusion, and defect binding in the Al-H system. A series of calculations for hydrides in the M-H systems (M=Al, Ba, Ca, K, Mg, La, Li, Na, Ni, Pd, Sc, Sr, Ti, V, and Y) also shows that the GGA calculations are a quantitatively accurate predictor of hydride formation energies. For Al-H, we find: (i) In agreement with experiment, the observed metastable hydride, ${\mathrm{AlH}}_{3}$ is found to have a small, negative formation enthalpy at ambient conditions, but a strongly positive formation free energy. (ii) Linear response calculations of ${\mathrm{AlH}}_{3}$ yield vibrational frequencies, phonon densities of states (DOS), and heat capacities in excellent agreement with experimental measurements, and suggest the need for a reinterpretation of measured phonon DOS. (iii) Atomic relaxation and anharmonic vibrational effects both play an important role in the tetrahedral versus octahedral interstitial site preference of H in Al. (iv) The calculated heat of solution of H in the preferred tetrahedral site is large and positive (+0.71 eV), consistent with experimental solubility data and with Al as an endothermic hydrogen absorber. (v) Interstitial H interacts strongly with Al vacancies $(\ensuremath{\square}),$ with a calculated H-$\ensuremath{\square}$ binding energy of 0.33 eV. (vi) In the absence of vacancies, the calculated migration energy of H between the tetrahedral and octahedral interstitial sites is 0.18 eV, but for H migrating away from an Al vacancy, the migration energy increases to 0.54 eV. Vacancy trapping of H can therefore provide an explanation for observed disparate H migration barriers.
276 citations
TL;DR: It is argued that feature selection is an important problem in object detection and demonstrated that genetic algorithms (GAs) provide a simple, general, and powerful framework for selecting good subsets of features, leading to improved detection rates.
275 citations
TL;DR: An overview of existing research on measures of product modularity and methods to achieve modularity in product design shows no clear consensus beyond those found in the definition of modularity, and there is a lack of quantitative comparison among the various measures and methods.
Abstract: This paper presents an overview of existing research on measures of product modularity and methods to achieve modularity in product design Discussions of the development of modular products have increased in recent years The research activity into the development of modularity measures and methods has also increased These measures and methods vary considerably in purpose and process Some are highly quantitative and some are completely qualitative Some are information intensive and some are more easily applied The relationship to product platform planning is also shown This overview shows no clear consensus beyond those found in the definition of modularity There are, however, several themes that are prevalent Most measures center on measuring dependencies with components external to modules Some measures include a measure of component similarity However, what is measured as dependencies and similarities varies by measure and by context Additionally, there is always some subjectivity in the mea
TL;DR: In this article, three 16-atom special quasirandom structures (SQS's) for binary bcc alloys at compositions $x=0.25, 0.50 and 0.75 were presented.
Abstract: We present three 16-atom special quasirandom structures (SQS's) for ${\mathrm{A}}_{1\ensuremath{-}x}{\mathrm{B}}_{x}$ bcc substitutional alloys at compositions $x=0.25$, 0.50 and 0.75, respectively. The structures possess local pair and multisite correlation functions that mimic those of the corresponding random bcc alloy. The introduction of these SQS's allows for the possibility of first-principles calculations of bcc solid solutions, even those with significant size-mismatch or atomic relaxation. We have tested our SQS's via first-principles calculations in the Mo--Nb, Ta--W and Cr--Fe systems, in which the bcc solid solution is observed to be stable over the whole composition range. Our first-principles SQS results provide formation enthalpies, equilibrium lattice parameters and magnetic moments of these bcc alloys which agree satisfactorily with most existing experimental data in the literature. In an effort to understand the atomic relaxation behavior in bcc solid solutions, we have also investigated the nearest neighbor bond length distributions in the random bcc alloys. The proposed bcc SQS's are quite general and can be applied to other binary bcc alloys.
TL;DR: In this article, an integrated framework for optimization under uncertainty that can bring both the design objective robustness and the probabilistic design constraints into account is proposed, which can obtain more reasonable compound noise combinations for a robust design objective compared to using the traditional approach proposed by Taguchi.
Abstract: In this work, we propose an integrated framework for optimization under uncertainty that can bring both the design objective robustness and the probabilistic design constraints into account. The fundamental development of this work is the employment of an inverse reliability strategy that uses percentile performance for assessing both the objective robustness and probabilistic constraints. The percentile formulation for objective robustness provides us an accurate evaluation of the variation of an objective performance and a probabilistic measurement of the robustness. We can obtain more reasonable compound noise combinations for a robust design objective compared to using the traditional approach proposed by Taguchi. The proposed formulation is very efficient to solve since it only needs to evaluate the constraint functions at the required reliability levels. The other major development of this work is a new search algorithm for the Most Probable Point of Inverse Reliability (MPPIR) that can be used to efficiently evaluate percentile performances for both robustness and reliability assessments. Multiple strategies are employed in the MPPIR search, including using the steepest ascent direction and an arc search. The algorithm is applicable to general non-concave and non-convex performance functions of random variables following any continuous distributions. The effectiveness of the MPPIR search algorithm is verified using example problems. Overall, an engineering example on integrated robust and reliability design of a vehicle combustion engine piston is used to illustrate the benefits of our proposed method.
TL;DR: In this article, a multiscale model for studying the growth and coarsening of θ′ precipitates in Al-Cu alloys is presented, which utilizes a combination of the mesoscale phase-field method with atomistic approaches such as first-principles total energy and linear response calculations, as well as a mixed-space cluster expansion coupled with Monte Carlo simulations.
TL;DR: In this article, the effect of different metallic fibers upon friction and wear performance of various brake friction couples was investigated based on a simple experimental formulation, friction materials with different metal fibers (Cu, steel, or Al) were fabricated and then evaluated using a small-scale friction tester.
TL;DR: In this paper, the authors define six sigma in an engineering design context and present an implementation of a robust optimization formulation that incorporates approaches from structural reliability and robust design with the concepts and philosophy of 6 sigma.
Abstract: The current push in industry is focused on ensuring not only that a product performs as desired but also that the product consistently performs as desired. To ensure consistency in product performance, "quality" is measured, improved, and controlled. Most quality initiatives have originated and been implemented in the product manufacturing stages. More recently, however, it has been observed that much of a product's performance and quality is determined by early design decisions, by the design choices made early in the product design cycle. Consequently, quality pushes have made their way into the design cycle, and "design for quality" is the primary objective. How is this objective measured and met?
The most recent quality philosophy, also originating in a manufacturing setting, is six sigma. The concepts of six sigma quality can be defined in an engineering design context through relation to the concepts of design reliability and robustness --- probabilistic design approaches. Within this context, design quality is measured with respect to probability of constraint satisfaction and sensitivity of performance objectives, both of which can be related to a design "sigma level". In this paper, we define six sigma in an engineering design context and present an implementation of design for six sigma --- a robust optimization formulation that incorporates approaches from structural reliability and robust design with the concepts and philosophy of six sigma. This formulation is demonstrated using a complex automotive application: vehicle side impact crash simulation. Results presented illustrate the tradeoff between performance and quality when optimizing for six sigma reliability and robustness.
03 Oct 2004
TL;DR: This paper provides a critical survey of recent vision-based on-road vehicle detection systems appeared in the literature (i.e., the cameras are mounted on the vehicle rather than being static such as in traffic/driveway monitoring systems).
Abstract: As one of the most promising applications of computer vision, vision-based vehicle detection for driver assistance has received considerable attention over the last 15 years. There are at least three reasons for the blooming research in this field: first, the startling losses both in human lives and finance caused by vehicle accidents; second, the availability of feasible technologies accumulated within the last 30 years of computer vision research; and third, the exponential growth of processor speed has paved the way for running computation-intensive video-processing algorithms even on a low-end PC in realtime. This paper provides a critical survey of recent vision-based on-road vehicle detection systems appeared in the literature (i.e., the cameras are mounted on the vehicle rather than being static such as in traffic/driveway monitoring systems).
TL;DR: The data suggest that neurons are produced by both asymmetric and symmetric cell divisions in the adult SVZ, and the transient increases in symmetric division and neuronal differentiation may result in stroke-induced neurogenesis.
Abstract: The orientation of mitotic cleavage regulates neurogenesis during neural development. We examined the orientation of mitotic cleavage of dividing progenitor cells in the subventricular zone (SVZ) of adult rats subjected to stroke. In nonstroke rats, 55% of dividing cells were oriented horizontally, whereas 40% were oriented vertically. Horizontal and vertical cleavage orientations produce asymmetric and symmetric divisions, respectively. Four days after stroke, the number of dividing cells increased twofold, whereas the proportion of symmetric dividing cells significantly (p < 0.01) increased from 40% before stroke to 60%. Fourteen days after stroke, the percentage of symmetric dividing cells was 47%. Stroke-increased numbers of dividing cells in M-phase were confirmed by immuostaining. In nonstroke rats, 37 and 33% of symmetric and asymmetric dividing cells, respectively, exhibited a neuronal marker (TuJ1). Four days after stroke, rats exhibited a significant (p < 0.05) augmentation of the frequency (47%) of neuronal distribution showing TuJ1 immunoreactivity in cells with symmetric division but not cells with asymmetric division (33%). Numb immunoreactivity was detected in SVZ cells of nonstroke rats. Stroke did not change Numb distribution. Our data suggest that neurons are produced by both asymmetric and symmetric cell divisions in the adult SVZ, and the transient increases in symmetric division and neuronal differentiation may result in stroke-induced neurogenesis.
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07 Jul 2004TL;DR: In this paper, the tracking of player game play in a gaming environment using the portable transaction device or interface is described. But, the tracking is based on the player identification information and game play data.
Abstract: A gaming environment includes portable transaction/tracking devices for rendering services and tracking game play. In one embodiment, the gaming environment includes at least one table game and a portable transaction interface capable of receiving and sending information over a wireless communication link to/from a player tracking server adapted to store player identification and player game play data. One embodiment of a method comprises the tracking of player game play in such a gaming environment using the portable transaction device or interface. Player identification information and player game play data is input to the portable transaction device and transmitted to the player tracking server for association with a player's rating file. Graphical information may be generated and displayed to the user of the portable transaction device regarding the gaming environment. This information may be used by the user to identify players or their location.
TL;DR: Atorvastatin administration after brain injury significantly reduced the neurological functional deficits, increased neuronal survival and synaptogenesis in the boundary zone of the lesion and in the CA3 regions of the hippocampus, and induced angiogenesis in these regions.
Abstract: Statins administered postischemia promote functional improvement in rats, independent of their capability to lower cholesterol. We therefore tested the effect of statin treatment on traumatic brain injury (TBI) in rats. Atorvastatin was orally administered (1 mg/kg/day) to Wistar rats starting 1 day after TBI for 7 consecutive days. Control animals received saline. Modified Neurological Severity Scores and Corner tests were utilized to evaluate functional response to treatment. Bromodeoxyuridine (BrdU, 100 mg/kg) was also intraperitoneally injected daily for 14 consecutive days to label the newly generated endothelial cells. Rats were sacrificed at day 14 after TBI, and the brain samples were processed for immunohistochemical staining. Atorvastatin administration after brain injury significantly reduced the neurological functional deficits, increased neuronal survival and synaptogenesis in the boundary zone of the lesion and in the CA3 regions of the hippocampus, and induced angiogenesis in these regions. The results suggest that atorvastatin may provide beneficial effects in experimental TBI.
01 Jan 2004
TL;DR: This work identifies the needs of GSA in design under uncertainty, and develops generalized analytical formulations that can provide GSA for a variety of metamodels commonly used in engineering applications that follow the form of multivariate tensor-product basis functions for which the analytical results of univariate integrals can be constructed to calculate the multivariate Integrals in GSA.
Abstract: The importance of sensitivity analysis in engineering design cannot be over-emphasized. In design under uncertainty, sensitivity analysis is performed with respect to the probabilistic characteristics. Global sensitivity analysis (GSA), in particular, is used to study the impact of variations in input variables on the variation of a model output. One of the most challenging issues for GSA is the intensive computational demand for assessing the impact of probabilistic variations. Existing variance-based GSA methods are developed for general functional relationships but require a large number of samples. In this work, we develop an efficient and accurate approach to GSA that employs analytic formulations derived from metamodels of engineering simulation models. We examine the types of GSA needed for design under uncertainty and derive generalized analytical formulations of GSA based on a variety of metamodels commonly used in engineering applications. The benefits of our proposed techniques are demonstrated and verified through both illustrative mathematical examples and the robust design for improving vehicle handling performance.Copyright © 2004 by ASME
TL;DR: In this work, several approximate RBDO methods are coded, discussed, and tested against a double loop algorithm through four design problems.
Abstract: Traditional reliability-based design optimization (RBDO) requires a double loop iteration process. The inner optimization loop is to find the most probable point (MPP) and the outer is the regular optimization loop to optimize the RBDO problem with reliability objectives or constraints. It is well known that the computation can be prohibitive when the associated function evaluation is expensive. As a result, many approximate RBDO methods, which convert the double loop to a single loop, have been developed. In this work, several approximate RBDO methods are coded, discussed, and tested against a double loop algorithm through four design problems.
TL;DR: In this article, the first-order saddlepoint approximation for reliability analysis is proposed to improve the accuracy of reliability analysis, which reduces the chance of an increase in the nonlinearity of the limit-state function.
Abstract: In the approximation methods of reliability analysis, nonnormal random variables are transformed into equivalent standard normal random variables. This transformation tends to increase the nonlinearity of a limit-state function and, hence, results in less accurate reliability approximation. The first-order saddlepoint approximation for reliability analysis is proposed to improve the accuracy of reliability analysis. By the approximation of a limit-state function at the most likelihood point in the original random space and employment of the accurate saddlepoint approximation, the proposed method reduces the chance of an increase in the nonlinearity of the limit-state function. This approach generates more accurate reliability approximation than the first-order reliability method without an increase in the computational effort. The effectiveness of the proposed method is demonstrated with two examples and is compared with the first- and second-order reliability methods.
Patent•
07 Jan 2004TL;DR: In this paper, a system for controlling a safety system (44) of an automotive vehicle includes a longitudinal acceleration sensor (36), a vehicle speed sensor (20), a lateral acceleration sensor(32), a yaw rate sensor, and a controller (26).
Abstract: A system (18) for controlling a safety system (44) of an automotive vehicle (10) includes a longitudinal acceleration sensor (36), a vehicle speed sensor (20), a lateral acceleration sensor (32), a yaw rate sensor, and a controller (26). The controller (26) determines a reference pitch in response to the longitudinal acceleration signal and the vehicle speed signal and a reference roll angle in response to the yaw rate signal, the wheel speed signal and the lateral acceleration signal. The controller (26) determines a roll stability index and a pitch stability index. The controller (26) determines an adjusted pitch angle in response to the reference pitch angle and the pitch stability index and an adjusted roll angle in response to the reference roll angle and the roll stability index. The controller (26) controls the safety system (44) in response to the adjusted roll angle and the adjusted pitch angle.
TL;DR: Human bone marrow stromal cells enhance neurological recovery after stroke in rodents, possibly via induction of growth factors and IGF-1 may contribute to improved functional recovery and increased neurogenesis after treatment of stroke with hMSCs.
TL;DR: In this paper, the authors investigated five alternative approaches on a turbocharged Dl gasoline engine: conventional stoichiometric operation, with reduced compression ratio (CR), EGR Boost with cooled EGR dilution rather than excess air to control octane requirement, Miller cycle concept, where valve-timing strategies are employed to reduce the effective compression ratio at high load, and dual injection strategies to control the octane requirements.
Abstract: Reducing engine swept volume (so-called 'downsizing') offers the potential to meet future tighter CAFE standards and reduced CO 2 vehicle emissions in Europe. In downsizing the gasoline engine, a key challenge is controlling octane requirement without sacrificing fuel economy. The authors have investigated five alternative approaches on a turbocharged Dl gasoline engine: ○ Conventional stoichiometric operation, with reduced compression ratio (CR) ○ Lean Boost Dl (LBDI) with lean operation at full-load to control octane requirement while maintaining a high CR ○ EGR Boost with cooled EGR dilution rather than excess air to control octane requirement ○ Miller cycle concept, where valve-timing strategies are employed to reduce the effective compression ratio at high load ○ Dual injection strategies to control octane requirement Each approach has been investigated using engine performance and vehicle simulation codes. Experimental investigations have been carried out using a 1.125L 13 multi-cylinder engine. The most promising concept, LBDI, has been further developed using the multi-cylinder engine installed in a Ford Focus C-class vehicle.
TL;DR: It is suggested that pharmacological and cellular therapy may provide an additive therapeutic benefit after stroke and the functional therapeutic enhancement of combination treatment may be attributed to increased plasticity induced by the combination of a nitric oxide donor and hMSC therapy.
TL;DR: This report quantifies such CO2 reduction opportunities for cars and light duty trucks in today's vehicles and those in the year 2015 and anticipates that the gap between diesel and gasoline well-to-wheel vehicle CO2 emissions will decrease to approximately 14-27% by the year2015.
Abstract: Concerns regarding global warming have increased the pressure on automobile manufacturers to decrease emissions of CO2 from vehicles. Diesel vehicles have higher fuel economy and lower CO2 emissions than their gasoline counterparts. Increased penetration of diesel powered vehicles into the market is a possible transition strategy toward a more sustainable transportation system. To facilitate discussions regarding the relative merits of diesel vehicles it is important to have a clear understanding of their CO2 emission benefits. Based on European diesel and gasoline certification data, this report quantifies such CO2 reduction opportunities for cars and light duty trucks in today's vehicles and those in the year 2015. Overall, on a well-to-wheels per vehicle per mile basis, the CO2 reduction opportunity for today's vehicles is approximately 24-33%. We anticipate that the gap between diesel and gasoline well-to-wheel vehicle CO2 emissions will decrease to approximately 14-27% by the year 2015.
01 Jun 2004
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18 Mar 2004TL;DR: In this paper, a system and method of controlling an automotive vehicle with a yaw stability control system and a trailer comprises determining a presence of a trailer, changing a side slip angle parameter threshold of the vehicle to a modified side slip parameter in response to the trailer signal, and controlling the yaw stabilisation control system.
Abstract: A system and method of controlling an automotive vehicle with a yaw stability control system and a trailer comprises determining a presence of a trailer, changing a side slip angle parameter threshold of the vehicle to a modified side slip parameter in response to the trailer signal, and controlling the yaw stability control system in response to the modified side slip parameter.