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Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study

Publication ,  Journal Article
Kokkolaras, M; Louca, LS; Delagrammatikas, GJ; Michelena, NF; Filipi, ZS; Papalambros, PY; Stein, JL; Assanis, DN
Published in: International Journal of Heavy Vehicle Systems
January 1, 2004

We present the findings of an extensive case study for the decomposed, simulation-based, optimal design of an advanced technology heavy truck by means of analytical target cascading. The use of a series hybridelectric propulsion system, in-hub motors, and variable height suspensions is considered with the intention of improving both commercial and military design attributes according to a dual-use philosophy. Emphasis is given to fuel economy, ride, and mobility characteristics. The latter are predicted by appropriately developed analytical and simulation models. This article builds on previous work and focuses on recent efforts to refine the applied methodologies and draw final conclusions.

Duke Scholars

Published In

International Journal of Heavy Vehicle Systems

DOI

EISSN

1741-5152

ISSN

1744-232X

Publication Date

January 1, 2004

Volume

11

Issue

3-4

Start / End Page

403 / 433

Related Subject Headings

  • Automobile Design & Engineering
  • 4002 Automotive engineering
  • 0902 Automotive Engineering
 

Citation

APA
Chicago
ICMJE
MLA
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Kokkolaras, M., Louca, L. S., Delagrammatikas, G. J., Michelena, N. F., Filipi, Z. S., Papalambros, P. Y., … Assanis, D. N. (2004). Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study. International Journal of Heavy Vehicle Systems, 11(3–4), 403–433. https://doi.org/10.1504/IJHVS.2004.005456
Kokkolaras, M., L. S. Louca, G. J. Delagrammatikas, N. F. Michelena, Z. S. Filipi, P. Y. Papalambros, J. L. Stein, and D. N. Assanis. “Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study.” International Journal of Heavy Vehicle Systems 11, no. 3–4 (January 1, 2004): 403–33. https://doi.org/10.1504/IJHVS.2004.005456.
Kokkolaras M, Louca LS, Delagrammatikas GJ, Michelena NF, Filipi ZS, Papalambros PY, et al. Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study. International Journal of Heavy Vehicle Systems. 2004 Jan 1;11(3–4):403–33.
Kokkolaras, M., et al. “Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study.” International Journal of Heavy Vehicle Systems, vol. 11, no. 3–4, Jan. 2004, pp. 403–33. Scopus, doi:10.1504/IJHVS.2004.005456.
Kokkolaras M, Louca LS, Delagrammatikas GJ, Michelena NF, Filipi ZS, Papalambros PY, Stein JL, Assanis DN. Simulation-based optimal design of heavy trucks by model-based decomposition: An extensive analytical target cascading case study. International Journal of Heavy Vehicle Systems. 2004 Jan 1;11(3–4):403–433.

Published In

International Journal of Heavy Vehicle Systems

DOI

EISSN

1741-5152

ISSN

1744-232X

Publication Date

January 1, 2004

Volume

11

Issue

3-4

Start / End Page

403 / 433

Related Subject Headings

  • Automobile Design & Engineering
  • 4002 Automotive engineering
  • 0902 Automotive Engineering