Non-Invasive Identification of Vehicle Suspension Parameters: A Methodology Based on Synthetic Data Analysis

Non-Invasive Identification of Vehicle Suspension Parameters: A Methodology Based on Synthetic Data Analysis

In this study, we introduce an innovative approach for the identification of vehicle suspension parameters, employing a methodology that utilizes synthetic and experimental data for non-invasive analysis. Central to our approach is the application of a basic local optimization algorithm, chosen to e...

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Bibliographic Details
Main Authors: Alfonso de Hoyos Fernández de Córdova, José Luis Olazagoitia, Carlos Gijón-Rivera
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
suspension parameter identification
vehicle dynamics simulation
basic local optimization
predictive vehicle analysis
non-invasive suspension testing
Online Access:https://www.mdpi.com/2227-7390/12/3/397

Internet

https://www.mdpi.com/2227-7390/12/3/397

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