Intelligent simulation system and experimental verification of shock absorber based on lightweight

Aiming at the problems of low efficiency of empirical design of hydraulic shock absorber and large error of multi-valve coupling modeling, an intelligent simulation system of shock absorber external characteristics based on generative physical model is proposed. Combining the valve plate stiffness theory, the fluid throttling segmentation model and the dynamic coupling mechanism of the valve system, a lightweight parametric simulation framework is constructed on the Matlab platform to realize the automatic generation of structural parameters to the damping curve. The verification shows that the simulation and experimental damping force error is less than 4 %, and the accuracy is significantly better than the traditional model. The system provides a core engine for the intelligent optimization algorithm of shock absorbers, supporting robust control of autonomous vehicle suspensions and efficient parameter matching in intelligent manufacturing.

Authors

Institutions

Publication Details

Published
2025-09-19
DOI
https://doi.org/10.1117/12.3082708
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent simulation system and experimental verification of shock absorber based on lightweight

Y. G. Chen
Automotive and Human Injury Biomechanics
article

Intelligent simulation system and experimental verification of shock absorber based on lightweight

Y. G. Chen
article en

Abstract

Aiming at the problems of low efficiency of empirical design of hydraulic shock absorber and large error of multi-valve coupling modeling, an intelligent simulation system of shock absorber external characteristics based on generative physical model is proposed. Combining the valve plate stiffness theory, the fluid throttling segmentation model and the dynamic coupling mechanism of the valve system, a lightweight parametric simulation framework is constructed on the Matlab platform to realize the automatic generation of structural parameters to the damping curve. The verification shows that the simulation and experimental damping force error is less than 4 %, and the accuracy is significantly better than the traditional model. The system provides a core engine for the intelligent optimization algorithm of shock absorbers, supporting robust control of autonomous vehicle suspensions and efficient parameter matching in intelligent manufacturing.

Shanghai Institute of Technology (CN)
Openalex Percentile: Top 63%
Automotive and Human Injury Biomechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligent simulation system and experimental verification of shock absorber based on lightweight — Y. G. Chen · (2025) | TGRS Research Map | TGRS