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Journal Article

Quantifying Uncertainty in Vehicle Simulation Studies

2012-04-16
2012-01-0506
The design of vehicles, particularly hybrid and other advanced technology vehicles, is typically complex and benefits from systems engineering processes. Vehicle modeling and simulation have become increasingly important system design tools to improve the accuracy, repeatability, and flexibility of the design process. In developing vehicle computational models and simulation, there is an inevitable compromise between the level of detail and the development/computational cost. The tradeoff is specific to the requirements of each vehicle design effort. The assumptions and detail limitations used for vehicle simulations lead to a varying degree of result uncertainty for each design effort. This paper provides a literature review to investigate the state of the art vehicle simulation methods, and quantifies the uncertainty associated with components that are commonly allocated uncertainty.
Technical Paper

Objective Comparison of Hybrid Vehicles through Simulation Optimization

2011-04-12
2011-01-0943
Vehicular design, especially for hybrid electric vehicles, is multifaceted and necessarily objective oriented. Whether designing for total cost, performance, societal impact, or any other factor there can be a number of possible solutions but limited optimal solutions. While many efforts to achieve particular vehicle characteristics through systems engineering achieve acceptable designs, they are extremely resource consuming and often restricted to utilization of a handful of available components. Design complexity often exists when designers must choose between different vehicle architectures or powertrain characteristics. Evaluating design options equivalently often entails undergoing multiple design iterations to fully understand the strengths and weaknesses of selected concepts. Through the use of numerical vehicle modeling, simulation, and optimization many theoretical vehicle configurations can be compared quickly and inexpensively.
Technical Paper

Design of a Fuel Cell Plug-in Hybrid Electric Vehicle in a Range Extending Configuration by Colorado State University for the EcoCAR2 Competition

2012-09-10
2012-01-1765
EcoCAR2 is a three year project in which a 2013 Chevrolet Malibu will be redesigned to reduce emissions and be more energy efficient without sacrificing performance, safety, or consumer appeal. The competition includes 15 universities across North America and is headline sponsored by General Motors and the U.S. Department of Energy. Extensive modeling work guided the Colorado State University (CSU) Vehicle Innovation Team (VIT) to choose an all-electric vehicle architecture with a range extending hydrogen fuel cell. The team has followed the EcoCAR2 vehicle design process (VDP) in the development of the powertrain, energy storage, controls, and auxiliary systems. Details on the design process and results for these subsystems and a discussion of the integration challenges are presented.
Technical Paper

Validation and Analysis of the Fuel Cell Plug-in Hybrid Electric Vehicle Built by Colorado State University for the EcoCAR 2: Plugging into the Future Vehicle Competition

2014-10-13
2014-01-2910
EcoCAR 2 is the premiere North American collegiate automotive competition that challenges 15 North American universities to redesign a 2013 Chevrolet Malibu to decrease the environmental impact of the Malibu while maintaining its performance, safety, and consumer appeal. The EcoCAR 2 project is a three year competition headline sponsored by General Motors and U.S. Department of Energy. In Year 1 of the competition, extensive modeling guided the Colorado State University (CSU) Vehicle Innovation Team (VIT) to choose an all-electric vehicle powertrain architecture with range extending hydrogen fuel cells, to be called the Malibu H2eV. During this year, the CSU VIT followed the EcoCAR 2 Vehicle Design Process (VDP) to develop the H2eV's electric and hydrogen powertrain, energy storage system (ESS), control systems, and auxiliary systems.
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