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Multi-Objective Optimization of Vehicle Suspension Parameters Considering Various Road Classes

Havelka Ferdinand / Musil Miloš

Vehicle suspension optimization for various road classes travelled at different velocities is performed. Road excitation is modeled using a first order shaping filter. A half-car model is adopted to simulate the vehicle’s vertical dynamics. The excitation time delay between the rear and the front tire is modeled using Pade approximation. Suspension parameters are optimized using a random search method with respect to “comfort” and “sporty driving” considering the design constraints of the suspension and road holding and maximum suspension travel constraints. Optimal suspension parameters suitable for various road classes and vehicle velocities have been chosen.

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Multi-Objective Optimization of Vehicle Suspension Parameters Considering Various Road Classes

Havelka Ferdinand / Musil Miloš

Vehicle suspension optimization for various road classes travelled at different velocities is performed. Road excitation is modeled using a first order shaping filter. A half-car model is adopted to simulate the vehicle’s vertical dynamics. The excitation time delay between the rear and the front tire is modeled using Pade approximation. Suspension parameters are optimized using a random search method with respect to “comfort” and “sporty driving” considering the design constraints of the suspension and road holding and maximum suspension travel constraints. Optimal suspension parameters suitable for various road classes and vehicle velocities have been chosen.

Multi-Objective Optimization of Vehicle Suspension Parameters Considering Various Road Classes

Havelka Ferdinand / Musil Miloš

Vehicle suspension optimization for various road classes travelled at different velocities is performed. Road excitation is modeled using a first order shaping filter. A half-car model is adopted to simulate the vehicle’s vertical dynamics. The excitation time delay between the rear and the front tire is modeled using Pade approximation. Suspension parameters are optimized using a random search method with respect to “comfort” and “sporty driving” considering the design constraints of the suspension and road holding and maximum suspension travel constraints. Optimal suspension parameters suitable for various road classes and vehicle velocities have been chosen.

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Titel:

Multi-Objective Optimization of Vehicle Suspension Parameters Considering Various Road Classes

Beteiligte:

Havelka Ferdinand (Autor:in) / Musil Miloš (Autor:in)

Erschienen in:

Scientific Proceedings. Faculty of Mechanical Engineering, Vol 22, Iss 1, Pp 26-31 (2014)

Erscheinungsdatum:

2014

ISSN:

DOI:

https://doi.org/10.2478/stu-2014-0005

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

Schlagwörter:

half-car , vehicle suspension , optimization , random search method , Mechanical engineering and machinery , TJ1-1570

Metadata by DOAJ is licensed under CC BY-SA 1.0

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