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2016-05-02
Event
2016-04-29
Standard
MA3428B
SCOPE IS UNAVAILABLE.
2016-04-22
WIP Standard
ARP6904
In order to realize the benefits of Integrated Vehicle Health Management (IVHM) within the aerospace and defense industry there is a need to address five critical elements of data interoperability within and across the aircraft maintenance ecosystem, namely • Approach • Trust • Context • Value • Security In Integrated Vehicle Health Management (IVHM) data interoperability is the ability of different authorized components, systems, IT, software, applications and organizations to securely communicate, exchange data, interpret data, use the information and derive consistent insight from the data that has been exchanged to derive value.
2016-04-14
WIP Standard
AIR5925B
The report shows how the methodology of measurement uncertainty can usefully be applied to test programs in order to optimize resources and save money. In doing so, it stresses the importance of integrating the generation of the Defined Measurement Process into more conventional project management techniques to create a Test Plan that allows accurate estimation of resources and trouble-free execution of the actual test. Finally, the report describes the need for post-test review and the importance of recycling lessons learned for the next project.
2016-04-14
Event
This session covers powertrain control processes related to achieving stringent market fuel economy, emissions, performance, reliability, and quality demands of hybrid and electric powertrains. Topics include the control, calibration, and diagnostics of the engine, powertrain, and supporting electromechanical subsystems related to energy management.
2016-04-14
Event
This session covers recent advances in research, development and engineering of hybrid, plug-in hybrid, and electric powertrains and architectures with particular emphasis on new and near-production technologies.
2016-04-13
Event
This session covers recent advances in research, development and engineering of hybrid, plug-in hybrid, and electric powertrains and architectures with particular emphasis on new and near-production technologies.
2016-04-13
Event
This session covers recent advances in research, development and engineering of hybrid, plug-in hybrid, and electric powertrains and architectures with particular emphasis on new and near-production technologies.
2016-04-12
Event
This session covers recent advances in research, development and engineering of hybrid, plug-in hybrid, and electric powertrains and architectures with particular emphasis on new and near-production technologies.
2016-04-12
Event
This session covers recent advances in research, development and engineering of hybrid, plug-in hybrid, and electric powertrains and architectures with particular emphasis on new and near-production technologies.
2016-04-05
Technical Paper
2016-01-1051
Jeremy Walker, Josh Lierer, Riccardo Calza, Sundar Rajan Krishnan, Kalyan Srinivasan, Hossein Toghiani
This paper presents results from a GT-POWER engine model of a Weber 850 cc, two-cylinder spark ignition engine operating on E-85 and gasoline. The simulations utilizes a two-zone combustion model with the Woschni cylinder heat transfer model. Simulation results are compared to baseline experimental data of a naturally aspirated (NA) version of the two-cylinder Weber multipurpose engine (MPE). The turbocharged (TC) engine version was obtained from the manufacturer for the EcoCAR 3 advanced vehicular technology competition (AVTC). Experimental data and simulation results are used to develop and optimize a semi-predictive combustion model. Additionally, brake thermal efficiency data generated is being used to create a simplified, fast running model implemented in real time within the Mississippi State University (MSU) EcoCAR 3 team’s systems-level vehicle model for the turbocharged (TC) version of the MPE 850 engine operating on E-85.
2016-04-05
Technical Paper
2016-01-1241
Denggao Huang, Hui Xie, Shuo Xiong, Tielong Shen, Sun Qiang, Ruichang Zhang
Abstract The fuel economy of plug-in hybrid electric city bus (PHEV) is deeply affected by driving cycle and travel distance. To improve the adaption of energy management strategy, the equivalent coefficient of fuel is the key parameter that needs to be pre-optimized based on the predicted driving cycle. An iterative learning method was proposed and implemented in order to get the best equivalent coefficient based on the predicted driving cycle and battery capacity. In the iterative learning method, the energy model and kinematics model of the bus were built. The ECMS (Equivalent Consumption Minimization Strategy) method was applied to obtain the best fuel economy with the given equivalent coefficient. The driving paths and running time of city buses were relatively fixed comparing with other vehicles, and their driving cycle can be predicted by route content. The proposed optimized strategy was applied on the factory sets of plug-in hybrid electric city bus.
2016-04-05
Journal Article
2016-01-1243
Roberto Finesso, Ezio Spessa, Mattia Venditti
Abstract An unsupervised machine-learning technique, aimed at the identification of the optimal rule-based control strategy, has been developed for parallel hybrid electric vehicles that feature a torque-coupling (TC) device, a speed-coupling (SC) device or a dual-mode system, which is able to realize both actions. The approach is based on the preliminary identification of the optimal control strategy, which is carried out by means of a benchmark optimizer, based on the deterministic dynamic programming technique, for different driving scenarios. The optimization is carried out by selecting the optimal values of the control variables (i.e., transmission gear and power flow) in order to minimize fuel consumption, while taking into account several constraints in terms of NOx emissions, battery state of charge and battery life consumption.
2016-04-05
Technical Paper
2016-01-1237
Vaheed Nezhadali, Lars Eriksson
Abstract To investigate the optimal controls of a diesel-electric powertrain during a torque controlled gearshift, a powertrain model is developed. A validated diesel-electric model is used as the power source and the transmission dynamics are described by different sets of differential equations during torque phase, synchronization phase and inertia phase of the gearshift. Using the developed model, multi-phase optimal control problems are formulated and solved. The trade-off between gearshift duration and driveline oscillations are calculated and efficient gearshift transients for a diesel-electric and pure diesel powertrain are then compared and analyzed.
2016-04-05
Technical Paper
2016-01-1238
Paul Karoshi, Karin Tieber, Christopher Kneissl, Georg Peneder, Harald Kraus, Martin Hofstetter, Jurgen Fabian, Martin Ackerl
Abstract In hybrid electric vehicles (HEV), the operation strategy strongly influences the available system power, as well as local exhaust emissions. Predictive operation strategies rely on knowledge of future traction-force demands. This predicted information can be used to balance the battery’s state of charge or the engine’s thermal system in their legal operation limits and can reduce peak loads. Assuming the air and rolling drag-coefficient to be constant, the desired vehicle velocity, vehicle-mass and longitudinal driving resistances determine the vehicle’s traction-force demand. In this paper, a novel methodology, combining a history-based prediction algorithm for estimating future traction-force demands with the parameter identification of road grade angle and vehicle mass, is proposed. It is solely based on a route-history database and internal vehicle data, available on its on-board communication and measuring systems.
2016-04-05
Technical Paper
2016-01-1182
Andrej Ivanco, Balan Mariappan Selvaraj, Kawshik Murali, Arjun Narayanan, Avik Sarkar, Aviral Singh, Akshay Soni, Mark Benton, Prasanth Muralidharan, Johnell Brooks, Paul Venhovens, Craig Payne
Abstract The Deep Orange framework is an integral part of the graduate automotive engineering education at Clemson University International Center for Automotive Research (CU-ICAR). The initiative was developed to immerse students into the world of an OEM. For the sixth generation of Deep Orange, the goal was to develop an urban utility/activity vehicle for the year 2020. The objective of this paper is to describe the development and implementation of a dual-purpose powertrain system enabling vehicle propulsion as well as stationary activities of the Deep Orange 6 vehicle concept. AutoPacific data were first examined to define personas on the basis of their demographics and psychographics. The resulting market research, benchmarking, and brand essence studies were then converted to consumer needs and wants, to establish vehicle target and subsystem requirement, which formed the foundation of the Unique Selling Points (USPs) of the concept.
2016-04-05
Technical Paper
2016-01-1180
Trevor Crain, Thomas Gorgia, R. Jesse Alley
Abstract EcoCAR is North America's premier collegiate automotive engineering competition, challenging students with systems-level advanced powertrain design and integration. The EcoCAR Advanced Vehicle Technology Competition series is organized by Argonne National Laboratory, headline sponsored by the U.S. Department of Energy and General Motors, and sponsored by more than 30 industry and government leaders. In the last competition series, EcoCAR 2, fifteen university teams from across North America were challenged to reduce the environmental impact of a 2013 Chevrolet Malibu by redesigning the vehicle powertrain without compromising performance, safety, or consumer acceptability. This paper examines the results of the EcoCAR 2 competition’s emissions and energy consumption (E&EC) on-road test results for several prototype plug-in hybrid electric vehicles (PHEVs). The official results for each vehicle are presented along with brief descriptions of the hybrid architectures.
2016-04-05
Journal Article
2016-01-1649
Jose Velazquez Alcantar, Farhad Assadian
Abstract Optimizing/maximizing regen braking in a hybrid electric vehicle (HEV) is one of the key features for increasing fuel economy. However, it is known [1] that maximizing regen braking by braking the rear axle on a low friction surface results in compromising vehicle stability even in a vehicle which is equipped with an ESP (Enhanced Stability Program). In this paper, we develop a strategy to maximize regen braking without compromising vehicle stability. A yaw rate stability control system is designed for a hybrid electric vehicle with electric rear axle drive (ERAD) and a “hang on” center coupling device which can couple the front and rear axles for AWD capabilities. Nonlinear models of the ERAD drivetrain and vehicle are presented using bond graphs while a high fidelity model of the center coupling device is used for simulation.
2016-04-05
Technical Paper
2016-01-0923
Martin Schneider, Bernd Danckert
Abstract Since the new “Regulations for the Prevention of Air Pollution from Ships” of the International Maritime Organization (IMO; MARPOL Annex VI Tier III) became effective, new technologies in marine applications are needed to fulfill the exhaust-gas limits. The reduction rate of the permissible emissions in the emission control areas (ECA) is about 75 % from Tier II to Tier III. To meet these limits, it is necessary to take additional measures, such as installing a Selective Catalytic Reduction (SCR) system. Because harbors are specifically in focus regarding the air quality, a hybrid propulsion system (Diesel-electric) and Exhaust Aftertreatment (EAT) to reduce the emissions and the lifecycle costs by reducing the fuel consumption were planned back in 2012. With the goal in mind of decreasing all relevant emissions, the described compact EAT consists of a Diesel Oxidation Catalyst (DOC), a Particulate Matter (PM) removal and a SCR-catalyst.
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