OPTIMISING A CAR CHASSIS

In this paper, the authors present a new procedure for designing car chassis systems using a multicriteria approach. An artificial neural network is used to approximate the relationships between chassis design variables and performance indexes. Genetic algorithms to create optimal solutions. The authors demonstrate that by applying the proposed methodology, improvements regarding the whole performances indexes that describe vehicle dynamic behavior can be obtained for an optimized car.

• Supplemental Notes:
  • Publication Date: August 1999
• Corporate Authors:

  Bayerische Motoren Werke

  ,    

  Politecnico di Milano

  ,    

  Nissan Jidosha Kabushiki Kaisha

  ,    

  Technische Universiteit Delft

  ,    
• Authors:
  • Gobbi, M
  • Mastinu, G
  • DONISELLI, C
• Publication Date: 1999

Language

• English

Media Info

• Pagination: p. 149-170
• Serial:
  • Vehicle system dynamics. Vol. 32, no. 2-3
  • Publisher: Bayerische Motoren Werke

Subject/Index Terms

• TRT Terms: Computer algorithms; Neural networks; Suspension systems
• Subject Areas: Vehicles and Equipment;

Filing Info

• Accession Number: 00791850
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: May 5 2000 12:00AM