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- Creators: Beethoven, Ludwig van, 1770-1827
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
Description
The SAE Baja series is a competition that challenges university student teams on all aspects of designing, building, and testing an all-terrain vehicle. In the competition, the teams present their engineering analysis of all components of their vehicle to a panel of professional engineers to show why the team's design is the overall best in performance and in manufacturing cost. Currently Arizona State University's SAE Baja team does not have a method to analyze their vehicle's suspension system, especially on the car's shock absorbers. The current solution to this problem is to change the shock absorber parameters, test drive the car, and repeat the shock absorber tuning until the car is able to produce the performance that the team desires. The following paper introduces and demonstrates three different methods, ADAMS Car, SOLIDWORKS, and MATLAB, that can be used to analyze the suspension system and gather data that can be used in the competition presentation. ADAMS Car is a power software that is used in the automotive and other engineering fields. The program does have a steep learning curve, but once the team is comfortable using it, ADAMS is very helpful with subsystem analysis and full body analysis. SOLIDWORKS can be used to perform motion analysis and drop tests, which can then be exported into ADAMS for further analysis. MATLAB can be used to model the Baja vehicle as a quarter model, which makes it easier for the team to model. Using the methods presented in this paper, ASU's Baja team can test coil-over and air shock absorbers to determine which type is more suitable for the performance and overall cost of the whole vehicle.
ContributorsPerez, Marcos (Author) / Contes, James (Thesis director) / Redkar, Sangram (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This research effort focuses on thermal management system (TMS) design for a high-performance, Plug-in Hybrid Electric Vehicle (PHEV). The thermal performance for various components in an electrified powertrain is investigated using a 3D finite difference model for a complete vehicle system, including inherently temperature-sensitive components. The components include the electric motor (EM), power electronics, Energy Storage System (ESS), and Internal Combustion Engine (ICE).
A model-based design approach is utilized, where a combination of experimental work and simulation are integrated. After defining heat sources and heat sinks within the power train system, temporal and spatial boundary conditions were extracted experimentally to facilitate the 3D simulation under different road-load scenarios. Material properties, surface conditions, and environmental factors were defined for the geometrical surface mesh representation of the system. Meanwhile the finite differencing code handles the heat transfer phenomena via conduction and radiation, all convective heat transfer mode within the powertrain are defined using fluid nodes and fluid streams within the powertrain.
Conclusions are drawn through correlating experimental results to the outcome from the thermal model. The outcome from this research effort is a 3D thermal performance predictive tool that can be utilized in order to evaluate the design of advanced thermal management systems (TMSs) for alternative powertrains in early design/concept stages of the development process.
For future work, it is recommended that a full validation of the 3D thermal model be completed. Subsequently, design improvements can be made to the TMS. Some possible improvements include analysis and evaluation of shielding of the catalytic converter, exhaust manifold, and power electronics, as well as substituting for material with better thermal performance in other temperature-sensitive components, where applicable. The result of this improvement in design would be achieving an effective TMS for a high-performance PHEV.
A model-based design approach is utilized, where a combination of experimental work and simulation are integrated. After defining heat sources and heat sinks within the power train system, temporal and spatial boundary conditions were extracted experimentally to facilitate the 3D simulation under different road-load scenarios. Material properties, surface conditions, and environmental factors were defined for the geometrical surface mesh representation of the system. Meanwhile the finite differencing code handles the heat transfer phenomena via conduction and radiation, all convective heat transfer mode within the powertrain are defined using fluid nodes and fluid streams within the powertrain.
Conclusions are drawn through correlating experimental results to the outcome from the thermal model. The outcome from this research effort is a 3D thermal performance predictive tool that can be utilized in order to evaluate the design of advanced thermal management systems (TMSs) for alternative powertrains in early design/concept stages of the development process.
For future work, it is recommended that a full validation of the 3D thermal model be completed. Subsequently, design improvements can be made to the TMS. Some possible improvements include analysis and evaluation of shielding of the catalytic converter, exhaust manifold, and power electronics, as well as substituting for material with better thermal performance in other temperature-sensitive components, where applicable. The result of this improvement in design would be achieving an effective TMS for a high-performance PHEV.
ContributorsCarroll, Joshua Kurtis (Author) / Mayyas, Abdel Ra'Ouf (Thesis advisor) / Wishart, Jeffrey (Committee member) / Contes, James (Committee member) / Arizona State University (Publisher)
Created2017
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)
ContributorsBeethoven, Ludwig van, 1770-1827 (Composer)