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Analytical Target Cascading for the Design of an Advanced Technology Heavy Truck

louca, L.S. (författare)
Department of Mechanical Engineering, University of Michigan
Kokkolaras, Michael (författare)
Delagrammatikas, G.J. (författare)
Department of Mechanical Engineering, University of Michigan
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Michelena, N.F. (författare)
Department of Mechanical Engineering, University of Michigan
Filipi, Z.S. (författare)
Department of Mechanical Engineering, University of Michigan
Papalambros, Panos Y. (författare)
Department of Mechanical Engineering, University of Michigan
Assanis, D.N. (författare)
Department of Mechanical Engineering, University of Michigan
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 (creator_code:org_t)
New York : American Society of Mechanical Engineers, 2002
2002
Engelska.
Ingår i: Proceedings of the ASME Design Engineering Division - 2002. - New York : American Society of Mechanical Engineers. - 0791836282 ; , s. 3-10
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • Analytical target cascading (ATC) is a methodology that can be used during the early development stages of large and complex systems for propagating desirable overall product targets to appropriate individual specifications for the various subsystems and components. The ATC process is applied to the design of an advanced technology heavy truck. A series hybrid-electric propulsion system, in-hub motors, and variable height suspensions are introduced with the intent to improve both commercial and military design attributes according to a dual-use design philosophy. Emphasis is given to fuel economy, ride, and mobility characteristics. These vehicle responses are predicted by appropriately developed analytical and simulation models. This article is an extension to previous work: the engine is now included at the bottom level, several battery types are considered to study their effect on fuel economy, and a more demanding driving schedule is used to assess regenerative braking benefits and ride quality. Results are presented for target values associated with a 100% improvement on fuel economy while maintaining performance attributes relative to existing designs.

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