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Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
by
Shi, Tianze
, Wang, Dengfeng
, Chen, Shuming
, Chen, Jing
in
Comfort
/ Control
/ Dynamical Systems
/ Dynamics
/ Engineering
/ Industrial and Production Engineering
/ Kriging
/ Loads (forces)
/ Mathematical models
/ Mechanical Engineering
/ Motor vehicles
/ Optimization
/ Vibration
/ 기계공학
2015
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Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
by
Shi, Tianze
, Wang, Dengfeng
, Chen, Shuming
, Chen, Jing
in
Comfort
/ Control
/ Dynamical Systems
/ Dynamics
/ Engineering
/ Industrial and Production Engineering
/ Kriging
/ Loads (forces)
/ Mathematical models
/ Mechanical Engineering
/ Motor vehicles
/ Optimization
/ Vibration
/ 기계공학
2015
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
by
Shi, Tianze
, Wang, Dengfeng
, Chen, Shuming
, Chen, Jing
in
Comfort
/ Control
/ Dynamical Systems
/ Dynamics
/ Engineering
/ Industrial and Production Engineering
/ Kriging
/ Loads (forces)
/ Mathematical models
/ Mechanical Engineering
/ Motor vehicles
/ Optimization
/ Vibration
/ 기계공학
2015
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Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
Journal Article
Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II
2015
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Overview
The RMS of weighted acceleration, wheel dynamic load and suspension dynamic deflection are determined as evaluation indices of vehicle ride comfort performance. A multi-body dynamic rigid-flexible coupling model of an in-wheel motor vehicle is built based on the multi-body system dynamics. The ride comfort results of ride comfort simulation and road test are well fitted. A kriging model is created to describe the relationship of vehicle ride comfort evaluation indices and suspension parameters. A multi-objective optimization using NSGA-II is processed using this model, and the vehicle ride comfort performance is improved by using the optimized suspension parameters.
Publisher
Korean Society of Mechanical Engineers,Springer Nature B.V,대한기계학회
Subject
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