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
NLM
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