Search Results

A simulation framework with a validated system model capable of estimating fuel consumption is a valuable tool in analysis and design of the hybrid vehicles. In particular, the framework can be used for (1) benchmarking the fuel economy achievable from alternate hybrid powertrain technologies, (2) investigating sensitivity of fuel savings with respect to design parameters (for example, component sizing), and (3) evaluating the performance of various supervisory control algorithms for energy management. Presenter Chinmaya Patil, Eaton Corporation

The presentation describes technology developments and the integration of these technologies into new emission control systems. As in other years, the reader will find a wide range of topics from various parts of the world. This is reflective of the worldwide scope and effort to reduce diesel exhaust emissions. Topics include the integration of various diesel particulate matter (PM) and Nitrogen Oxide (NOx) technologies as well as sensors and other emissions related developments. Presenter Atsuo Kondo, NGK Insulators, Ltd.

Hybrid technology has the potential to enable dramatic reductions in greenhouse gases (GHG), such as the California goal of reducing GHG by 80 percent from 1990 levels by 2050. As a result it is expected that hybrid systems will occupy a growing proportion of the market. However, introducing a hybrid system in a vehicle may adversely affect the performance of the engine OBD system in monitoring malfunctions impacting pollutant emissions. For example, a hybrid system that reduces time of the engine in idle or deceleration overrun conditions could make a well-performing engine OBD system noncompliant, by reducing in-use frequency of some OBD monitors below acceptable levels. In this presentation, Ricardo will present a process for evaluating the impact that a hybrid system which has been optimised to minimise GHG emission over a specified drive-cycle will have on the effectiveness of engine OBD monitors.

In “The Impact of Additive Manufacturing in Automotive Applications”, a professor from Kettering University explains why additive manufacturing will be a game changer for car makers, and how process control is one of the biggest challenges ahead. An engineer at Local Motors in Arizona shows how the company builds its cars using a large-scale 3D printer, including how a variety of materials is being evaluated for optimal performance in this type of application. The episode highlights: The expected positive impact of AM on smaller car makers and suppliers The key difference between small 3D printers and large-scale ones The need to find the best possible material combination so vehicles that are #D-printed are as safe as traditional ones Also Available in DVD Format To subscribe to a full-season of Spotlight on Design, please contact SAE Corporate Sales: CustomerSales@sae.org or 1-888-875-3976.

With automotive electrification, the electric machines show a tendency to share or even replace the dominant role of internal combustion engines in future vehicles. Besides the design and innovation of different electric machines to meet the needs of powertrain and drivetrain performances, high volume production becomes a challenging topic and an un-avoided requirement. Flexible line and sharing line will help the variation of production rate and volume, while the dedicated unique line contributes to large scale of E-motor production. Supplier chain from raw materials, parts to processes has to be built from ground-zero or low grade to mature stage within quality specification and time limitation. Multi function skills, cross area technologies and complex management etc are all required for E-motor manufacturer to grow up with component and equipment suppliers. Reducing cost, improving quality and guaranteeing safety are always the thematic series.

Automakers, suppliers, public agencies, interest groups and others are increasingly embracing the environment as one of the dominant forces in the US automotive market. All parties have a strong vested interest in understanding how environmental concerns will influence design, production, marketing and usage of tomorrow�s vehicles. A common need of all parties is independent and actionable information to enable them to make better decisions and have the greatest chance of being successful in this uncertain future. Four factors - an uncertain economic climate; a constantly changing governmental regulatory system; advancements in powertrain technology; and ever-present environmental concerns - continue to shape the automotive landscape. While automakers are focused on developing alternative powertrains and alternative fuel options for an increasingly �green� vehicle market, J.D.

Simulation-based tolerance analysis is the accepted standard for dimensional engineering in aerospace today. Sophisticated 3D model-based tolerance analysis processes enable engineers to measure variation in complex, often large, assembled products quickly and accurately. Best-in-class manufacturers have adopted Quality Intelligence Management tools for collecting and consolidating this measurement data. Their goal is to completely understand dimensional fit characteristics and quality status before commencing the build process. This results in shorter launch cycles, improved process capabilities, reduced scrap and less production downtime. This paper describes how to use simulation-based approaches to correlate the theoretical tolerance analysis results produced during engineering simulations to actual as-built results. This allows engineers to validate or adjust as-designed simulation parameters to more closely align to production process capabilities.

Presented by: Dan Ott Web Industries Director, Business Development, Advanced Composites Market With the growth of Fiber Placement technology as a preferred automation technology in aerospace manufacturing and the rapid growth of new production line installations, it is crucial to provide material in a form which meets all necessary specifications and supports the optimum productivity available from this major capital investment made by the producer of the parts. Achieving these goals happnes when the part designer, AFP machine builder, and the slit tape producer design the best process and format which provides smooth, efficient and rapid delivery of the prepreg slit tape to the Fiber Placement laydown head. Tape size (width), slit width tolerance, spool shape and size, density of prepreg on the spool, spool change-over and handling processes all play a factor in productivity, and creating (or inhibiting) the best ROI on a full-scale AFP production line.

There are worldwide activities in developing guidelines and standards for fiber optic sensors. Fiber optic sensors (FOS) are increasingly demanded for structural health monitoring purposes and for measurement of physical and chemical quantities because of their specific features. However, they are not yet widely established for practical use due to a lack of guidelines and confirmed standards. Therefore, there are few groups worldwide which are very active in developing standards for use of FOS in different fields, particularly driven from aircraft industry, oil industry or the necessity to provide sensor systems for health monitoring of structures with a certain level of risk. The benefits of guidelines and/or standards on the way to well-validated and well-specified sensor systems will be presented by means of related examples. The presentation will also give an overview on the state-of-the-art and most relevant activities. Results achieved are discussed.

At the end of 2006, two MTorres engineers visited the plant of Airbus UK in Filton receiving a new challenge: Find a more efficient way to manufacture Carbon Fiber Spars for the new A350 program. The range of possibilities were wide: manual infusion methods (RTM, RIM, RFI...), Automatic Taping & hot forming, or the new technology proposed, Fiberplacement or AFP. Two (2) options were considered: hot forming+ATL and AFP (both using prepeg technology.) The usage of a flat lay-up + hot forming technology was used in the only Airbus program that used carbon fiber for the wing manufacturing so far, the A400M. The expected greater complexity of A350 spar created doubts on the feasibility of using the above process, while the AFP technology, consisting of laying up directly on the final shape of the spar, also raised questions of technical feasibility, apart from the economic ?business case?, in case the productivity of the cell was not big enough. A ?Spar team?

The foundation of many production aircraft assembly facilities is a more dynamic and unpredictable quantity than we would sometimes care to admit. Any tooling structures constructed on these floors, no matter how thoroughly analyzed or well understood, are at the mercy of settling and shifting concrete, which can cause very lengthy and costly periodic re-certification and adjustment procedures. It is with this in mind, then, that we explore the design possibilities for one such structure to be built in Belfast, North Ireland for the assembly of the Shorts C-Series aircraft wings. We evaluate the peak floor pressure, weight, gravity deflection, drilling deflection, and thermal deflection of four promising structures and discover that carefully designed pivot points and tension members can offer significant benefits in some areas.

This paper presents a low-cost path for extending the range of small urban pure electric vehicles by hydraulic hybridization. Energy management strategies are investigated to improve the electric range, component efficiencies, as well as battery usable capacity. As a starting point, a rule-based control strategy is derived by analysis of synergistic effects of lead-acid batteries, high efficient operating region of DC motor and the hydraulic pump/motor. Then, Dynamic Programming (DP) is used as a benchmark to find the optimal control trajectories for DC motor and Hydraulic Pump/Motor. Implementable rules are derived by studying the optimal control trajectories from DP. With new improved rules implemented, simulation results show electric range improvement due to increased battery usable capacity and higher average DC motor operating efficiency. Presenter Xianke Lin

The Pennsylvania State University is one of 16 North American universities that participated in the EcoCAR advanced vehicle technology competition (http://www.ecocarchallenge.org/). A series-hybrid-electric vehicle based on a General Motors crossover SUV platform has been designed, built and tested for this purpose. The powertrain features a 1.3 L turbodiesel engine running on a B20 fuel system, a 75kW generator directly coupled to the engine and advanced lithium-ion batteries. In this paper, the vehicle architecture and control strategy are detailed and performance predictions (e.g., acceleration, fuel consumption and emissions) are presented. This includes discussion of the development process that led to the selected designs. The predicted performance is compared with data obtained on a chassis dynamometer and during on-road measurements over specified drive cycles. Presenter Shawn Getty

The Hybrid Electric Vehicle Team of Virginia Tech participated in the three-year EcoCAR Advanced Vehicle Technology Competition organized by Argonne National Laboratory, and sponsored by General Motors and the U.S. Department of Energy. The team established goals for the design of a plug-in, range-extended hybrid electric vehicle that meets or exceeds the competition requirements for EcoCAR. The challenge involved designing a crossover SUV powertrain to reduce fuel consumption, petroleum energy use, regulated tailpipe emissions, and well-to-wheel greenhouse gas emissions. To interface with and control the hybrid powertrain, the team added a Hybrid Vehicle Supervisory Controller, which enacts a torque split control strategy. This paper builds on an earlier paper [1] that evaluated the petroleum energy use, criteria tailpipe emissions, and greenhouse gas emissions of the Virginia Tech EcoCAR vehicle and control strategy from the 2nd year of the competition.

Cycle-to-cycle variations of combustion processes strongly affect the emissions, specific fuel consumption as well as work output. Especially Direct Injection Spark-Ignition (DISI) engines are very sensitive to cyclic fluctuations within the combustion chamber. Multi-cycle Large Eddy Simulation (LES) based analysis has been used for investigating unsteady effects of spray combustion processes and misfires. A realistic four-stroke DISI internal combustion engine configuration was taken under consideration. The effects of variable spray boundary conditions on spray combustion are discussed first. A qualitative analysis of the intensity of cycle-to-cycle variations of in-cylinder pressure is presented for various combinations of injection parameters and ignition points. Finally, the effect of ignition probability and analysis of misfires are pointed out. The described above processes were discussed in terms of mean and standard deviation of temperature, velocity and pressure.

Impact of driving patterns on fuel economy is significant in hybrid electric vehicles (HEVs). Driving patterns affect propulsion and braking power requirement of vehicles, and they play an essential role in HEV design and control optimization. Driving pattern conscious adaptive strategy can lead to further fuel economy improvement under real-world driving. This paper proposes a real-time driving pattern recognition algorithm for supervisory control under real-world conditions. The proposed algorithm uses reference real-world driving patterns parameterized from a set of representative driving cycles. The reference cycle set consists of five synthetic representative cycles following the real-world driving distance distribution in the US Midwestern region. Then, statistical approaches are used to develop pattern recognition algorithm. Driving patterns are characterized with four parameters evaluated from the driving cycle velocity profiles.

This study undertakes an investigation of the effect of battery charge balance in hybrid electric vehicles (HEVs) on EPA fuel economy label values. EPA's updated method was fully implemented in 2011 and uses equations which weight the contributions of fuel consumption results from multiple dynamometer tests to synthesize city and highway estimates that reflect average U.S. driving patterns. For the US06 and UDDS cycles, the test results used in the computation come from individual phases within the overall certification driving cycles. This methodology causes additional complexities for hybrid vehicles, because although they are required to be charge-balanced over the course of a full drive cycle, they may have net charge or discharge within the individual phases. As a result, the fuel consumption value used in the label value calculation can be skewed.

In support of the U.S Department of Energy's Vehicle Technologies Program, numerous vehicle technology combinations have been simulated using Autonomie. Argonne National Laboratory (Argonne) designed and wrote the Autonomie modeling software to serve as a single tool that could be used to meet the requirements of automotive engineering throughout the development process, from modeling to control, offering the ability to quickly compare the performance and fuel efficiency of numerous powertrain configurations. For this study, a multitude of vehicle technology combinations were simulated for many different vehicles classes and configurations, which included conventional, power split hybrid electric vehicle (HEV), power split plug-in hybrid electric vehicle (PHEV), extended-range EV (E-REV)-capability PHEV, series fuel cell, and battery electric vehicle.

Software products in the automotive industry are by nature widely distributed and costly to update (recall), so high reliability is clearly of utmost importance. Just as clearly, the increasing reliance on remote access to such systems, for diagnostic and other purposes, has made security an essential requirement, and traditional techniques for software development are proving to be inadequate in dealing with these issues. Correctness by Construction is a software design and development methodology that builds reliability and security into the system from the start. It can be used to demonstrate, with mathematical rigor, a program's correctness properties while reducing the time spent during testing and debugging. This paper will discuss the use of Correctness by Construction, and its accompanying SPARK language technology, to improve automotive systems' security and reliability. (The approach can also account for safely issues, although that is not the focus of this paper.)

In this paper we present the results of full-scale chassis dynamometer testing of two hybrid transit bus configurations, parallel and series and, in addition, quantify the impact of air conditioning. We also study the impact of using an electrically controlled cooling fan. The main trend that is noted, and perhaps expected, is that a significant fuel penalty is encountered during operation with air conditioning, ranging from 17-27% for the four buses considered. The testing shows that the series hybrid architecture is more efficient than the parallel hybrid in improving fuel economy during urban, low speed stop and go transit bus applications. In addition, smart cooling systems, such as the electrically controlled cooling fan can show a fuel economy benefit especially during high AC (or other increased engine load) conditions.