Hybrid Low-Order Modeling for Conceptual Vehicle Design
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Parametric vehicle modeling permits rapid iteration and optimization of vehicles in the conceptual design phase. A significant portion of vehicle design can be optimized parametrically without knowing specific Computer Aided Design (CAD) based details. Many vehicle characteristics such as curb mass, center of gravity location, key dimensions, occupant packaging and cargo volume can be assessed and improved at the parametric level. Key vehicle performance measures can be determined to a high level of confidence. This work develops a continuum of dimensional parameters which tie vehicle internal...
Parametric vehicle modeling permits rapid iteration and optimization of vehicles in the conceptual design phase. A significant portion of vehicle design can be optimized parametrically without knowing specific Computer Aided Design (CAD) based details. Many vehicle characteristics such as curb mass, center of gravity location, key dimensions, occupant packaging and cargo volume can be assessed and improved at the parametric level. Key vehicle performance measures can be determined to a high level of confidence. This work develops a continuum of dimensional parameters which tie vehicle internal and external dimensions together; it employs a combination of industry standard and author-defined component dimensions which make up overall vehicle outside dimensions. An effective continuum of functional parameters is also developed. The work develops a parametric modeling, scenario builder and optimization software framework which provides a design and optimization tool for vehicle design with trade-off evaluation tools. Hybrid electric vehicle drivelines, mass impact and economy measures are addressed.
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