Display:

Results

Viewing 121 to 150 of 13461
2016-04-05
Technical Paper
2016-01-1171
Shota Hirose, Akemi Okawa, Kenji Ishida, Takahiro Misu, Takeshi Tojo
Abstract Electrification of the powertrain to improve vehicle fuel economy is a key technology to achieve strict fuel economy legislation. However, only limited numbers of small class vehicles such as a B segment adopt electric powertrain. This is presumed that cost effectiveness for fuel economy is small and mounting space for additional powertrain is limited. In this paper, the optimum solution of a strong hybrid system suitable for the small vehicles was studied. First, from the viewpoint of maximization of energy efficiency, we compared contributions of engine efficiency and transmission efficiency during mode cycle driving and selected automated manual transmission as a suitable transmission for small vehicles. In comparing the hybrid system function, we determined a motor generator connecting shaft and a necessary motor generator output power for attaining both fuel economy and drivability.
2016-04-05
Technical Paper
2016-01-1093
Takao Ohki, Tomoyasu Wada, Tomoyuki Kano, Tomoyoshi Ishimaru, Hideya Osawa
Abstract In recent years, awareness of environmental problems has increased on a global scale, and the development of low fuel consumption technologies has become more and more important in commercial vehicles, as it has been in passenger vehicles. A new 6-speed manual transmission was developed with direct-drive double-overdrive to contribute to the fuel economy performance and engine power of commercial vehicles through gear ratio optimization.
2016-04-05
Technical Paper
2016-01-1097
Satoshi Fukuyama, Tomohide Suzuki, Akira Murata, Hiroshi Mizoguchi, Toshihiko Kamiya
Abstract Aisin AW (AW) and Toyota Motor Corporation (TMC) have developed a new RWD 6 speed automatic transmission, AWR6B45(AC60), suitable for SUV’s and LDT’s in the worldwide market, not only for North America but also for other countries including emerging nations. This 6 speed automatic transmission has achieved low cost, equivalent to AW and TMCs’ current 5 speed automatic transmission, while realizing improvement in both fuel economy and driving performance against current in-house 5-speed automatic transmissions, in addition to satisfying both toughness against various usage and light weight/compactness. They are accomplished by using a compact gear train structure, the latest efficiency improvement technologies, and a high-response, compact hydraulic control system. In addition, the compactness of this 6 speed automatic transmission enables it to replace current 4 speed and 5 speed automatic transmissions for various engine applications.
2016-04-05
Technical Paper
2016-01-1112
Byeong Wook Jeon, Sang-Hwan Kim, Donghoon Jeong, Joseph Young-il Chang
Abstract In general, driving performance is developed to meet preference of average customers. But there is no single standardized guideline which can satisfy various driving tastes of all drivers whose gender, cultural background, and age are different. To resolve this issue, automotive companies have introduced drive mode buttons which drivers can manually select from Normal, Eco, and Sport driving modes. Although this multi-mode manual systems is more efficient than single-mode system, it is in a transient state where drivers need to go through troubles of frequently selecting their preferred drive mode in volatile driving situations It is also doubtful whether the three-categorized driving mode can meet complex needs of drivers.. In order to settle these matters, it is necessary to analyze individual driving style automatically and to provide customized driving performance service in real time.
2016-04-05
Technical Paper
2016-01-1247
Kevin L. Snyder, Jerry Ku
Abstract The objective of the research into modeling and simulation was to provide an improvement to the Wayne State EcoCAR 2 team’s math-based modeling and simulation tools for hybrid electric vehicle powertrain analysis, with a goal of improving the simulation results to be less than 10% error to experimental data. The team used the modeling and simulation tools for evaluating different outcomes based on hybrid powertrain architecture changes (hardware), and controls code development and testing (software). The first step was model validation to experimental data, as the plant models had not yet been validated. This paper includes the results of the team’s work in the U.S. Department of Energy’s EcoCAR 2 Advanced vehicle Technical Competition for university student teams to create and test a plug-in hybrid electric vehicle for reducing petroleum oil consumption, pollutant emissions, and Green House Gas (GHG) emissions.
2016-04-05
Technical Paper
2016-01-1245
Jonathan D. Cox, Michael Leamy
Abstract The Georgia Tech EcoCAR 3 team’s selection of a parallel hybrid electric vehicle (HEV) architecture for the EcoCAR 3 competition is presented in detail, with a focus on the team’s modeling and simulation efforts and how they informed the team’s architecture selection and subsequent component decisions. EcoCAR 3, sponsored by the United States Department of Energy and General Motors, is the latest in a series of Advanced Vehicle Technology Competitions (AVTCs) and features 16 universities from the United States and Canada competing to transform the 2016 Chevrolet Camaro into a hybrid electric American performance vehicle. Team vehicles will be scored on performance, emissions, fuel economy, consumer acceptability, and more over the course of the four-year competition. During the first year, the Georgia Tech team considered numerous component combinations and HEV architectures, including series RWD and AWD, parallel, and power-split.
2016-04-05
Technical Paper
2016-01-1248
Brian Magnuson, Michael Ryan Mallory, Brian Fabien, Ajay Gowda
Abstract This study investigates using driver prediction to anticipate energy usage over a 160-meter look-ahead distance for a series, plug-in, hybrid-electric vehicle to improve conventional thermostatic powertrain control. Driver prediction algorithms utilize a hidden Markov model to predict route and a regression tree to predict speed over the route. Anticipated energy consumption is calculated by integrating force vectors over the look-ahead distance using the predicted incline slope and vehicle speed. Thermostatic powertrain control is improved by supplementing energy produced by the series generator with regenerative braking during events where anticipated energy consumption is negative, typically associated with declines or decelerations.
2016-04-05
Technical Paper
2016-01-1253
Patrick Ellsworth, Roydon Fraser, Michael Fowler, Daniel VanLanen, Ben Gaffney, Caixia Wang, Trong Shen, Wenhao Wu, Paul McInnis
Abstract The drive to improve and optimize hybrid vehicle performance is increasing with the growth of the market. With this market growth, the automotive industry has recognized a need to train and educate the next generation of engineers in hybrid vehicle design. The University of Waterloo Alternative Fuels Team (UWAFT), as part of the EcoCAR 3 competition, has developed a control strategy for a novel parallel-split hybrid architecture. This architecture features an engine, transmission and two electric motors; one pre-transmission motor and one post-transmission motor. The control strategy operates these powertrain components in a series, parallel, and all electric power flow, switching between these strategies to optimize the energy efficiency of the vehicle. Control strategies for these three power flows are compared through optimization of efficiencies within the powertrain.
2016-04-05
Technical Paper
2016-01-1252
Arjun Khanna, Sam Yacinthe, Jason Ward, M.J. Yatsko, Shawn Midlam-Mohler
The Ohio State University EcoCAR 3 team is designing a plug-in hybrid electric vehicle (PHEV) post-transmission parallel 2016 Chevrolet Camaro. With the end-goal of reducing the environmental impact of the vehicle, the Ohio State Camaro has been designed to have a 44-mile all-electric range. The vehicle is to consist of an 18.9 kWh Li-ion energy storage system, a 119 kW 2.0L GDI I4 engine that runs on 85% ethanol (E85) fuel, a 5-speed automated manual transmission, and a 150 kW peak-power electric machine. This report details the model and controls development process followed by the Ohio State team during Year 1 of the EcoCAR 3 competition. The focus of the paper will be on overall development of a vehicle model, initial simulation results, and supervisory controls development. Finally, initial energy consumption results from the model and future improvements will be discussed.
2016-04-05
Technical Paper
2016-01-1255
David Mackanic, Eduardo D. Marquez, James Dennington, Jacob McClean, Kaitlyn Wheeler, Douglas Nelson
Abstract The Hybrid Electric Vehicle Team (HEVT) of Virginia Tech is currently going through several modeling and testing stages to develop models that represent the P3 PHEV powertrain the team is building as part the EcoCAR 3 competition. The model development process consists of several major steps. First, Model-in-the-Loop (MIL) testing is conducted to validate a conventional vehicle model, down-select a desired powertrain configuration, and generate initial vehicle technical specifications. HEVT is pursuing a performance powertrain that balances high performance with minimal energy consumption. Initial MIL modeling results yield an IVM-60 mph time of 4.9 seconds and an overall UF-weighted 4-cycle energy consumption of 560 Wh/km. MIL modeling provides an initial reference to compare subsequent vehicle modeling.
2016-04-05
Technical Paper
2016-01-1254
Eric Jambor, Thomas Bradley
Abstract EcoCAR 3 is a university based competition with the goal of hybridizing a 2016 Chevrolet Camaro to increase fuel economy, decrease environmental impact, and maintain user acceptability. To achieve this goal, university teams across North America must design, test, and implement automotive systems. The Colorado State University (CSU) team has designed a parallel pretransmission plug in hybrid electric design. This design will add torque from the engine and motor onto a single shaft to drive the vehicle. Since both the torque generating devices are pre-transmission the torque will be multiplied by both the transmission and final drive. To handle the large amount of torque generated by the entire powertrain system the vehicle's rear half-shafts require a more robust design. Taking advantage of this, the CSU team has decided to pursue the use of composites to increase the shaft's robustness while decreasing component weight.
2016-04-05
Technical Paper
2016-01-1256
Miriam Di Russo, Zhuoran Zhang, Hao Wu, Kathryn della Porta, Jerry C. Ku
Abstract This paper details the first year of modeling and simulation, and powertrain control development for the Wayne State University EcoCAR 3 vehicle. Included in this paper are the processes for developing simulation platforms, plant models and electronic control units to support the supervisory control system development. The EcoCAR 3 competition challenges sixteen North American universities to re-engineer the 2016 Chevrolet Camaro to reduce its environmental impact without compromising its performance and consumer acceptability. The team is in the final stages of competition Year One, which, as the “non-vehicle year,” focuses on the preliminary design, simulation, and hybrid modes selection for the team’s selected vehicle architecture.
2016-04-05
Technical Paper
2016-01-1257
Sam Yacinthe, Arjun Khanna, Jason Ward, M.J. Yatsko, Shawn Midlam-Mohler
The design of a performance hybrid electric vehicle includes a wide range of architecture possibilities. A large part of the design process is identifying reasonable vehicle architectures and vehicle performance capabilities. The Ohio State University EcoCAR 3 team designed a plug-in hybrid electric vehicle (PHEV) post-transmission parallel 2016 Chevrolet Camaro. With the end-goal of reducing the environmental impact of the vehicle, the Ohio State Camaro has been designed with a 44-mile all-electric range. It also features an 18.9 kWh Li-ion energy storage system, a 119 kW 2.0L GDI I4 engine that runs on 85% ethanol (E85) fuel, a 5-speed automated manual transmission, and a 150 kW peak electric machine. This report details the design and modeling process followed by the Ohio State team during Year 1 of the competition. The process included researching the customer needs of the vehicle, determining team design goals, initial modeling, and selecting a vehicle architecture.
2016-04-05
Technical Paper
2016-01-1020
Yusuke Wada, Koji Nakano, Kei Mochizuki, Ryuichi Hata
Abstract A 1.5 L downsizing turbocharged engine was developed to achieve both driving and environmental performance. The engine is intended to replace 1.8 - 2.4 L class NA engines. In downsizing turbocharged engines, mixture homogeneity is important for suppressing knocking and emission reduction. Particularly under high load, creating rapid combustion and a homogeneous mixture are key technologies. The authors used a long-stroke direct injection engine, which has outstanding rapid combustion and thermal efficiency, as a base engine meeting these requirements. They combined this with a high-tumble port and shallow-dish piston intended to support tumble flow. The combination enhanced flow within the cylinder. The combustion system was built to include a sodium-filled exhaust valve to reduce knocking and a multi-hole injector (six holes) for mixture homogeneity and to reduce the fuel wall wetting.
2016-04-05
Technical Paper
2016-01-1497
William Bortles, Wayne Biever, Neal Carter, Connor Smith
Abstract This paper presents a comprehensive literature review of original equipment event data recorders (EDR) installed in passenger vehicles, as well as a summary of results from the instrumented validation studies. The authors compiled 187 peer-reviewed studies, textbooks, legal opinions, governmental rulemaking policies, industry publications and presentations pertaining to event data recorders. Of the 187 total references, there were 64 that contained testing data. The authors conducted a validation analysis using data from 27 papers that presented both the EDR and corresponding independent instrumentation values for: Vehicle velocity change (ΔV) Pre-Crash vehicle speed The combined results from these studies highlight unique observations of EDR system testing and demonstrate the observed performance of original equipment event data recorders in passenger vehicles.
2016-04-05
Technical Paper
2016-01-1441
Jonathan Frank Antin, Justin Owens, James Foley, Kazutoshi Ebe, Brian Wotring
Abstract This study presents a long-term examination of the effects of two types of perceptual-cognitive brain training programs on senior driver behavior and on-road driving performance. Seniors (70+) engaged in either a Toyota-designed in-vehicle training program based on implicit learning principles or a commercially available computer-based training program developed by Posit Science. Another group served as a no-contact control group; total enrollment was 55 participants. Participants completed a series of four experimental sessions: (1) baseline pre-training, (2) immediate post-training, (3) 6-9 months post-training, and (4) 12-16 months post-training. Experimental metrics taken at each session included measures of vehicle control and driver glance behavior on public roads.
2016-04-05
Technical Paper
2016-01-1535
Linli Tian, Yunkai Gao
Abstract Based on equivalent static loads method (ESL), a nonlinear dynamic topology optimization is carried out to optimize an automotive body in white (BIW) subjected to representative legislative crash loads, including frontal impact, side barrier impact, roof crush and rear impact. To meet the crashworthiness performances, two evaluation indexes are defined to convert the practical engineering problems into mathematic optimization problems. The strain energy is treated as the stiffness evaluation index of the BIW and the relative displacement is employed as the compliance index of the components and parts.
2016-04-05
Technical Paper
2016-01-1012
Seiji Furumata, Takashi Kakinuma, Hirokazu Tochiki
Abstract This paper introduces the newly developed super sports car engine mounted in the new model NSX. A super sports car engine was newly developed to satisfy the high power performance required by the body package. Higher power and compactness were simultaneously achieved by selecting an engine displacement of 3.5 L and by using a V6 layout and a turbocharger. This enabled to mount a power train that combines a hybrid motor with a newly developed transmission in the rear of the body. The lubrication system uses a dry sump system capable of maintaining reliable lubrication in all possible super sports car driving scenarios. The combustion system uses high tumble-flow ports, a direct injection and a port injection system that increase power performance and thermal efficiency, emission reduction. To support the increased heat load due to higher power, a 3-piece water jacket is used around the combustion chamber and the exhaust ports.
2016-04-05
Journal Article
2016-01-0002
Scott Eisele, Masahiro Yamaura, Nikos Arechiga, Shinichi Shiraishi, Joseph Hite, Jason Scott, Sandeep Neema, Theodore Bapty
Abstract Complex systems, such as modern advanced driver assistance systems (ADAS), consist of many interacting components. The number of options promises considerable flexibility for configuring systems with many cost-performance-value tradeoffs; however the potential unique configurations are exponentially many prohibiting a build-test-fix approach. Instead, engineering analysis tools for rapid design-space navigation and analysis can be applied to find feasible options and evaluate their potential for correct system behavior and performance subject to functional requirements. The OpenMETA toolchain is a component-based, design space creation and analysis tool for rapidly defining and analyzing systems with large variability and cross-domain requirements. The tool supports the creation of compositional, multi-domain components, based on a user-defined ontology, which captures the behavior and structure of components and the allowable interfaces.
2016-04-05
Technical Paper
2016-01-0003
Alberto Taraborrelli, Francesco Braghin
Abstract This paper reports the studies, design and developments of an electronic electro-actuated gearshifter installed on the DP7, which is Politecnico di Milano car that took part at Formula SAE 2015 competitions in Hockenheim and Varano dè Melegari. The original idea was born to replace the hydraulic gearshift system used until 2011 because of its high weight and cost. After many evaluations about the kind of technology to use, made by previous team members in the electronic department, the final project was a fully electric shifter. This system has proven its qualities among which are lightness and low cost.
2016-04-05
Technical Paper
2016-01-0007
Gopal Athani, Kapil Dongare, Rajesh Balusu, Subhabrata Gupta, Srinivasa Raju Gavarraju
Abstract Micro Hybrid Systems are essentially first step towards the electrification of the powertrains. They are aimed at improving the fuel efficiency of the conventional gasoline and diesel power trains with conventional 12 V electrical system, and thus reduce the CO2 emissions as well. Various technologies like Engine Stop-Start, Intelligent Alternator Control, and Electrical Energy Management Systems are included in the bracket of micro hybrid systems. These system functions demand a totally different approach for managing the SLI battery, which is a total departure from the conventional approach. Particularly, the Alternator Shutdown function of Intelligent Alternator Control maintains a calibrated average level of State of Charge, which is typically around 80%, to ensure that the battery can accept more current, during the energy recuperation, which indirectly improves fuel economy.
2016-04-05
Technical Paper
2016-01-0005
Nick Smith
Abstract Model Based Systems Engineering (MBSE) [1, 2] has emerged as a solution to the extreme design challenges caused by automotive Electrical/Electronic (EE) complexity [3]. This paper explores how coherency in early design can be applied across the entire EE design cycle. Starting from a functional abstraction, we introduce a new lightweight solution to evaluate and guide optimized implementations integrating software, networks, devices, and connectivity. The pattern used for this and the data created can be directly driven into downstream, domain-specific design flows delivering vehicle lower costs, better design quality, and faster innovation.
2016-04-05
Technical Paper
2016-01-0016
Jörg Schäuffele
Abstract The functions provided by the E/E system of modern vehicles can be assigned to the classical domains of powertrain, chassis, body and multimedia. Upcoming functions are forming new domains for advanced driver assistance and cloud integration. Therefore networking of functions is not limited to the vehicle but includes also the cloud. These trends imply major changes like the introduction of Ethernet as onboard networking technology or increasing safety and security needs. To design the best E/E architecture three groups of optimization targets are most relevant: Global vehicle targets, E/E targets derived from the implemented vehicle functions and product line targets for an E/E architecture. The PREEvision approach for E/E architecture design and optimization is a model based approach - inspired by the relevant and widely accepted automotive standards. Import and export filters allow the easy integration with PREEvision and complementation of existing tool chains.
2016-04-05
Technical Paper
2016-01-0028
Ali Shahrokni, Peter Gergely, Jan Söderberg, Patrizio Pelliccione
Abstract In areas such as Active Safety, new technologies, designs (e.g. AUTOSAR) and methods are introduced at a rapid pace. To address the new demands, and also requirements on Functional Safety imposed by ISO 26262, the support for engineering methods, including tools and data management, needs to evolve as well. Generic and file-based data management tools, like spreadsheet tools, are popular in the industry due to their flexibility and legacy in the industry but provide poor control and traceability, while rigid and special-purpose tools provide structure and control of data but with limited evolvability. As organizations become agile, the need for flexible data management increases. Since products become more complex and developed in larger and distributed teams, the need for more unified, controlled, and consistent data increases.
2016-04-05
Technical Paper
2016-01-0040
Ming Meng, Wilson Khoo
The modern vehicle development is highly dependent on software. The software development plays an extremely important role in vehicle safety and security. In order to ensure software high quality and safety standards, we have investigated the secure software development process and analyzed the works in this area. Based on our analysis, we have identified the similarities and differences between the secure software development process and the existing vehicle development process. We then made suggestions on how to adopt the secure software development process in the overall vehicle development process.
2016-04-05
Technical Paper
2016-01-0051
Hongyu Zheng, Mingxin Zhao
Abstract Electric power steering (EPS), active front wheel steering (AFS) and steer by wire systems (SBW) can enhance the handling stability and safety of the vehicle, even in dangerous working conditions. Now, the development of the electric control steering system (ECS) is mainly based on the way that combines the test of the electric steering hardware-in-loop (HIL) test bench with real vehicle tests. However, the real vehicle tests with higher cost, long cycle and vulnerable to space weather have the potential safety problems at early development. On contrast, electronic control steering HIL test bench can replace real vehicle tests under various working conditions and make previous preparations for real vehicle road tests, so as to reduce the number of real vehicle test, shorten the development cycle, lower development costs, which has gradually become the important link of research and development of electronic steering system.
2016-04-05
Technical Paper
2016-01-0046
Markus Ernst, Mario Hirz, Jurgen Fabian
Abstract A steady increasing share and complexity of automotive software is a huge challenge for quality management during software development and in-use phases. In cases of faults occurring in customer’s use, warranty leads to product recalls which are typically associated with high costs. To avoid software faults efficiently, quality management and enhanced development processes have to be realized by the introduction of specific analysis methods and Key Process/Performance Indicators (KPIs) to enable objective quality evaluations as soon as possible during product development process. The paper introduces an application of specific analysis methods by using KPIs and discusses their potential for automotive software quality improvement. Target is to support quality evaluation and risk-analysis for the release process of automotive software.
2016-04-05
Technical Paper
2016-01-0053
Abhishek Sharma
Abstract Today open source software is widely used in different domains like Desktop systems, Consumer electronics (smart phones, TV, washing machines, camera, printers, smart watches), Automotive, Automation etc. With the increased involvement of the open source software in the different domains including the safety critical ones, there has been a requirement of the well-defined test strategy to test and verify such systems. Currently there are multiple open source tools and frameworks to choose from. The paper describes the various open source test strategies and tools available to qualify such systems, their features, maintenance, community support, advantages and disadvantages. Target audience would be the software engineers, program managers, using an open source stack for the product development.
2016-04-05
Technical Paper
2016-01-0090
Patrick Barasa, Ye Tian, Stefan Hardes, Shahaboddin Owlia, Purvi Limaye, Derek Bailey, Tarun Sehgal
Abstract Increasingly advanced engines are having high degrees of flux in design, hardware, and requirement changes throughout the development process from initial design intent to production, all occurring at various points in the Software Development Life Cycle (SDLC). Boosting, downsizing, various exhaust gas recirculation (EGR) schemes, variable valve timing/lift (VVT/VVL), and direct injection are part of new engine designs. These are being coupled with 6-10 speed transmission or electric motors for increasing overall efficiency while maintaining performance. Development and calibration of the control systems required to extract the best possible performance of these applied technologies is becoming a complex and resource consuming task when time, budget, and test beds become limited. Therefore, an equally rapid means to thoroughly test new engine designs, new algorithms and optimize calibrations is required.
2016-04-05
Technical Paper
2016-01-0088
Tervin Tan, Jin Seo Park, Patrick Leteinturier
Abstract The constant motivation for lower fuel consumption and emission levels has always been in the minds of most auto makers. Therefore, it is important to have precise control of the fuel being delivered into the engine. Gasoline Port fuel injection has been a matured system for many years and cars sold in emerging markets still favor such system due to its less system complexity and cost. This paper will explain injection control strategy of today during development, and especially the injector dead-time compensation strategy in detail and how further improvements could still be made. The injector current profile behavior will be discussed, and with the use of minimum hardware electronics, this paper will show the way for a new compensation strategy to be adopted.
Viewing 121 to 150 of 13461

Filter