Detroit, MI, United States

General Motors

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Detroit, MI, United States

General Motors Company, commonly known as GM, is an American multinational corporation headquartered in Detroit, Michigan, that designs, manufactures, markets and distributes vehicles and vehicle parts and sells financial services. General Motors produces vehicles in 37 countries under thirteen brands: Alpheon, Chevrolet, Buick, GMC, Cadillac, Holden, HSV, Opel, Vauxhall, Wuling, Baojun, Jie Fang, UzDaewoo. General Motors holds a 20% stake in IMM, and a 77% stake in GM Korea. It also has a number of joint-ventures, including Shanghai GM, SAIC-GM-Wuling and FAW-GM in China, GM-AvtoVAZ in Russia, Ghandhara Industries in Pakistan, GM Uzbekistan, General Motors India, General Motors Egypt, and Isuzu Truck South Africa. General Motors employs 212,000 people and does business in more than 120 countries. General Motors is divided into five business segments: GM North America , Opel Group, GM International Operations , GM South America , and GM Financial.General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales.General Motors acts in most countries outside the U.S. via wholly owned subsidiaries, but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security and information services.In 2009, General Motors shed several brands, closing Saturn, Pontiac and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, the reorganized GM made an initial public offering that was one of the world's top 5 largest IPOs to date and returned to profitability later that year. Wikipedia.

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Patent
GM GLOBAL Technology OPERATIONS LLC | Date: 2015-10-27

A system and method for warning a vehicle driver of a potential collision when turning left or right at or near an intersection, where the system and method provide additional analysis to limit false positive and false negative warnings based on specialized circumstances. The method includes determining if the host vehicle is likely to turn at or near the intersection, and obtaining speed, velocity and position data of the host vehicle and any relevant remote vehicles. The method determines a predicted path of the host vehicle and the remote vehicles based on the speed, velocity and position data, and issues a warning to a driver of the host vehicle if the host vehicle and one of the remote vehicles may collide based on the predicted paths. If the host vehicle is in a specialized circumstance, the method provides additional collision analysis to reduce false positive warnings and/or false negative warnings.

Claims which contain your search:

1. A method for collision threat assessment on a host vehicle traveling on a roadway, said method comprising: determining if the host vehicle is likely to turn at or near an intersection with a predetermined level of confidence; obtaining velocity and position data of the host vehicle using sensors onboard the host vehicle; obtaining velocity and position data of one or more remote vehicles or other objects at or near the intersection; determining, using a processor in a controller, a predicted path of the host vehicle based on the velocity and position data, along with yaw rate or road wheel angle of the host vehicle; determining, using the processor, a predicted path of one or more of the remote vehicles based on the velocity and position data; issuing a warning to a driver of the host vehicle, by the controller, if the host vehicle and one of the remote vehicles may collide based on the predicted paths; and providing, using the processor, additional collision analysis to reduce false positive warnings and false negative warnings for specialized host vehicle circumstances.

4. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes determining that the host vehicle is entering a left turn lane by identifying type and color of roadway lane markings.

5. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes adjusting a distance parameter from the intersection that initiates the collision assessment method so as to reduce false positive warnings as a result of the host vehicle turning into a driveway before the intersection.

7. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes preventing the warning from being issued and providing collision information only if the host vehicle is unable to detect a stop sign or traffic signal at the intersection.

8. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes providing information that sensors on the host vehicle have been blocked by objects when the host vehicle is traveling near the intersection.

9. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes identifying type and color of lane markings on the roadway.

19. A system for collision threat assessment for a host vehicle traveling on a roadway, said system comprising: means for determining if the host vehicle is likely to turn at or near an intersection with a predetermined level of confidence; sensors onboard the host vehicle for obtaining velocity and position data of the host vehicle; means for obtaining velocity and position data of one or more remote vehicles or other objects at or near the intersection; and a controller including a processor configured with instructions for; determining a predicted path of the host vehicle based on the velocity and position data, along with yaw rate or road wheel angle of the host vehicle; determining a predicted path of one or more of the remote vehicles based on the velocity and position data; issuing a warning to a driver of the host vehicle if the host vehicle and one of the remote vehicles may collide based on the predicted paths; and providing additional collision analysis to reduce false positive warnings and false negative warnings for specialized host vehicle circumstances.

20. The system according to claim 19 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes determining that the host vehicle is entering a left turn lane by identifying type and color of roadway lane markings.


Sakuramoto C.,General Motors
SAE Technical Papers | Year: 2013

In the middle of the global competition, inside the automotive sector, the perceived quality of costumers, related to the beauty and harmony of the outer skin surfaces of motor vehicles, has become one of the main determinant factors in the purchase process decision. In general, the initial perceived quality of a car is determined by an appealing design of its body, the color and gloss of its paint, and also the manufacturing and assembly accuracy of the skin panels. The appealing design makes the skin panel even more complex and hard to produce with current metal forming technologies and the results are often small distortions on the outer surfaces about tens of microns and most of the times paint does not cover such imperfections. Despite the technological advances along the years, surface quality inspection was still being performed by manual and subjective evaluation by experts. Three characteristic distortions are usually cited by academic researches: Die Radius Impact Mark; Punch Radius Skid Mark, and Sink Mark due to complexity of skin panel geometry. These marks, depends on its magnitude requires a metal finishing along the production line which penalize the cost, quality, speed and time. As the skin panels of the vehicles are manufactured by means of stamping process, all the distortions that arise on the surfaces came from this process, so that it is vital to improve the skill, knowledge and methodology in using adequate Finite Element simulation resources in order to be able to predict and correct in advance phase of car development such problems. This article aims to present a simulation methodology and analysis to detect first type of defect (Die Radius Impact mark) by means of FE simulation. The scientific methodology used in this paper is a comparison between simulation results, obtained by FEM and real measurements. Copyright © 2013 SAE International.

Document Keywords (matching the query): automotive industry, automobile manufacture.


Zhu X.,Shanghai JiaoTong University | Yang X.,General Motors | Li Y.,Shanghai JiaoTong University | Carlson B.E.,General Motors
International Journal of Adhesion and Adhesives | Year: 2016

With the broader utilization of adhesive bonding in the automotive industry for structural lightweight applications, hybrid joining methods such as weld or rivet-bonding are being employed to complement the strength of adhesive-only joints. In this paper, a novel method to significantly improve the energy absorption of adhesive bonds by the addition of solder balls was developed and experimentally verified. Numerical analysis predicted a maximum increase of cross-tension strength and energy absorption by 25% and 80%, respectively. Our experimental study exhibited the same trend and achieved a maximum increase of strength and energy absorption of 17.5% and 40%, respectively. Microscopy indicated the presence of a thin adhesive layer between the solder balls and substrate after bonding which is believed to limit the full theoretical potential of the solder-adhesive bond strength. Effects of volume fraction of solder balls, and pre-tightening of the solder-adhesive joint prior to curing on the mechanical performance of solder-adhesive bonds were investigated. Additional work is ongoing to explore avenues to achieve the full potential of solder adhesives. © 2016 Elsevier Ltd. All rights reserved.

Document Keywords (matching the query): automotive industry.


Gallagher K.G.,Joint Center for Energy Storage Research | Gallagher K.G.,Argonne National Laboratory | Goebel S.,Joint Center for Energy Storage Research | Goebel S.,General Motors | And 10 more authors.
Energy and Environmental Science | Year: 2014

Researchers worldwide view the high theoretical specific energy of the lithium-air or lithium-oxygen battery as a promising path to a transformational energy-storage system for electric vehicles. Here, we present a self-consistent material-to-system analysis of the best-case mass, volume, and cost values for the nonaqueous lithium-oxygen battery and compare them with current and advanced lithium-based batteries using metal-oxide positive electrodes. Surprisingly, despite their high theoretical specific energy, lithium-oxygen systems were projected to achieve parity with other candidate chemistries as a result of the requirement to deliver and purify or to enclose the gaseous oxygen reactant. The theoretical specific energy, which leads to predictions of an order of magnitude improvement over a traditional lithium-ion battery, is shown to be an inadequate predictor of systems-level cost, volume, and mass. This analysis reveals the importance of system-level considerations and identifies the reversible lithium-metal negative electrode as a common, critical high-risk technology needed for batteries to reach long-term automotive objectives. Additionally, advanced lithium-ion technology was found to be a moderate risk pathway to achieve the majority of volume and cost reductions. This journal is © 2014 the Partner Organisations.

Document Keywords (matching the query): economic analysis.


Rojo A.,Research Center en Mecatronica Automotriz | Ramirez N.J.,Research Center en Mecatronica Automotriz | Salgado J.E.,General Motors
TMS Annual Meeting | Year: 2011

This work aims to characterize the plastics used in a handgrip located in the car interior body in order to improve its design process and be able to predict its behavior when the part is subjected to impact test involving human casualties. Through stress analyses at high speeds and a video camera set up (front and side view), the reduction of area of specimen was obtained from image analysis, allowing to get the stress-strain real curve of the material. Continuing the characterization process a set of impact test was developed, where standard Izod configurations were used in unnotched specimens. From these tests were gotten displacement curves and absorption energy estimations. The proposed testing procedure allowed the acquisition of force and displacement data through time at various strain rates which are indispensable for the characterization of dynamic events. Using a specimen with a special configuration has shown a more detailed dynamic behavior resulting into more accurate numerical analyses within the design process.

Document Keywords (matching the query): automotive industry, numerical analysis, car interiors.


News Article | October 13, 2016
Site: www.forbes.com

Tesla may be the catalyst driving electric cars. But just about every car maker in the world is developing either an all-electric car or a hybrid vehicle that runs on both electricity and petroleum. That’s good news for the environment, especially as such vehicles approach price parity with traditional ones. As electric cars continue to improve, so do the efficiencies -- or the ability to input a unit of energy and to realize more output. In fact, traditional cars running on an internal combustion engine have a 30 percent efficiency rate. The rest is lost to heat, sound and energy. Just refining a gallon of gasoline takes 7 kilowatts-hours per gallon, says Thor Hinckley, an electric vehicle and renewable energy expert with CLEAResult, a consulting specializing in energy efficiency. But vehicles that run on electricity have an 80 percent efficiency rate, or they convert 80 percent of those Btus to energy, he explains. The efficiencies are greater because of the superiority of the electric motor over that of the internal combustion engine -- not because one unit of energy is better than another. “With an efficiency difference that great, anything will be cleaner than burning gasoline,” says Hinckley. Obviously, burning a Btu of wind, solar or hydro is cleaner than burning the same unit of coal. But even if coal is used to generate the electricity to drive the car, he says that emissions are 20-30 percent less than a comparable vehicle running on petroleum. That’s huge. The genesis of the modern electric car can be traced back to the late 1990s and early 2000s time period. That’s when the California Air Resources Board set a zero-emissions standard to wean the state from petroleum. There, mobile sources still account for half of all emissions that contribute to ozone and particulate matter -- and nearly 40 percent of all greenhouse gases, the agency says. Now, about 9 other states have similar initiatives -- not just to increase the number of electric vehicles on the road but also to increase the miles per gallon that traditional cars can travel. Because car makers don’t find it efficient to make different types of cars for different states, jurisdictions across the country are also benefiting from California’s mandate. Meantime, the batteries that are so integral to the electric vehicle are improving by leaps-and-bounds. Today’s lithium-ion batteries are smaller and more energy dense, and be traced back to the development of laptop computing. Recharging can be done from home and the batteries have a relatively long life, says Hinckley, enabling many of today’s electric vehicles to travel at least 90 miles per charge. That’s more than enough for most daily commuters. Moreover, Bloomberg New Energy Finance is predicting that electric cars will be just as cost effective as traditional vehicles by 2022. The firm’s analysis assumes the price per barrel of oil is between $50-$70 a barrel. By 2040, it expects electric vehicles to make up 35 percent of the transportation market. According to the Energy Information Administration, electric vehicles are now 1.6 percent of the overall car market. But that could increase in 2025 to 6 percent. “If we think forward, the discussion moves to the price per mile,” says Hinckley. “The studies I’ve seen show that the price per mile is 30-50 percent less for an electric vehicle. This assumes the cars cost roughly the same amount of money.” Electric cars and plug-ins still have a ways to go. But such sales are up 34 percent this year, says Sales Tracker. More than 110,000 electric vehicles or hybrids have sold through September 2016 compared to roughly 84,500 this time last year. To put that in perspective, about 17 million vehicles will be sold this year. Part of the reason for the increase in electric vehicle sales is that Tesla has given the movement some cache. But the reality is that every car maker but Mazda has some type of electric vehicle or hybrid in production. And those cars are becoming increasingly affordable: around $33,000, on average. This year, 13 car companies offer at least one electric option: Volkswagen has four models, while Ford, BMW and Mercedes-Benz each offer three. General Motors, Nissan Motors and Toyota have three of the highest-profile vehicles in the Volt/Bolt, Leaf and Prius. Altogether, 33 different electric vehicles should come on line in 2017, says the Consumer Federation of America. “We doubt that automakers would be spending billions of dollars on electric vehicles if they did not think they could sell them to consumers,” says Mark Cooper, director of research for the Consumer Federation of America. As electric vehicles make further inroads, they will be a positive influence on both the economy and the environment. That should allow everyone to breathe easier and drive the market further.


Canova M.,Ohio State University | Naddeo M.,Ohio State University | Liu Y.,Ohio State University | Zhou J.,Ohio State University | Wang Y.-Y.,General Motors
SAE International Journal of Engines | Year: 2015

Engine downsizing and super/turbocharging is currently the most followed trend in order to reduce CO2 emissions and increase the powertrain efficiency. A key challenge for achieving the desired fuel economy benefits lies in optimizing the design and control of the engine boosting system, which requires the ability to rapidly sort different design options and technologies in simulation, evaluating their impact on engine performance and fuel consumption. This paper presents a scalable modeling approach for the characterization of flow and efficiency maps for automotive turbochargers. Starting from the dimensional analysis theory for turbomachinery and a set of well-known control-oriented models for turbocharged engines simulation, a novel scalable model is proposed to predict the flow and efficiency maps of centrifugal compressors and radial inflow turbines as function of their key design parameters. The proposed approach is validated on a database of compressors and turbines for automotive boosting applications. Examples are given to illustrate how the characteristic curves can be scaled with key design parameters. Copyright © 2015 SAE International.

Document Keywords (matching the query): dimensional analysis, automobile engines, automotive turbochargers.


Taburri M.,University of Parma | Chiara F.,Ohio State University | Canova M.,Ohio State University | Wang Y.-Y.,General Motors
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering | Year: 2012

Modelling the flow and efficiency of turbochargers for engine system simulation and control applications is an established practice that relies on the steady-state maps provided by manufacturer suppliers. However, as often occurs in practice, only a limited fraction of data is available in the compressor and turbine operating domain. For this reason, several modelling techniques have been proposed to interpolate and extrapolate flow and efficiency data. Most of the modelling approaches, based on black- or grey-box approaches, have limited predictive ability and typically low accuracy in off-design conditions, such as at engine idle or low engine speed. The current paper presents a novel model-based approach for overcoming the sparse nature of the available compressor maps, characterizing the flow and efficiency outputs of automotive centrifugal compressors by using extrapolation methods that are physically consistent with the conservation principles and actual behaviour of the system. The approach relies on a predictive model based on the thermodynamic analysis of a centrifugal compressor stage. The model builds upon the mass, energy, and entropy balance equations for compressible fluids. Specific sub-models are then introduced to account for the effects of slip phenomena, incidence losses, friction, and heat transfer losses, leading to high fidelity and predictive ability in off-design conditions. A detailed analysis of the model calibration and validation process is presented, utilizing data from two different automotive compressors. Finally, the procedure described is applied to characterize the compressor performance in engine system simulation, in comparison with a conventional (data-driven) model. © IMechE 2012.

Document Keywords (matching the query): predictive abilities, predictive models, thermo dynamic analysis, thermoanalysis, automotive compressor.


Martinez Laurent J.C.,General Motors
SAE Technical Papers | Year: 2011

With the constant need to meet new environmental regulations, the improvement of automotive exhaust systems technologies to be cleaner and more effective is a necessity. To achieve these regulations the automakers have been focused on the development of better particle filters and more effective cleaning processes. Catalyst Oxidation and Diesel Particle Filter Regeneration are good and effective techniques to accomplish these objectives but the amount of heat generated by these processes is a concern in the thermal management of the vehicle. To gain a better understanding of these effects Finite Element Thermal Analysis has proved to be a useful tool to predict and observe the increment of temperature during these processes. This work is focus on a simulation process using several 1-D and 3-D techniques to predict the skin exhaust temperature during the regeneration process moment in which the system achieve the maximum temperature. The objective of this work is to assess the simulation results and compare it to physical test results in order to correlate the proposed methodology. Copyright © 2011 SAE International.

Document Keywords (matching the query): automotive exhaust system, thermoanalysis.


Desai P.H.,General Motors | Anwar M.,General Motors | Gleason S.,General Motors | Hawkins S.,General Motors
SAE Technical Papers | Year: 2010

General Motors has developed a portfolio of advanced propulsion vehicles that has set the standard for optimal fuel economy in full-size utility vehicles. An overview of power electronics used in this portfolio, already available in the market, is presented. These components are key enablers for the strategic products in portfolio. Block diagrams for various configurations are also described to show common power electronics components used in traction and auxiliary systems. Briefly real wheel drive (RWD) and front wheel drive (FWD) vehicle applications are described. Specific analysis and test results are presented from development of Traction Power Inverter used in RWD vehicles. Vehicle-based durability profiles are used in analysis to predict IGBT power modules thermal performance. Using key metrics for volume and mass, benchmarking data is also presented. Copyright © 2010 SAE International.

Document Keywords (matching the query): front wheel drive automobiles.

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