Optimal Design of the Tyre-Suspension System of a Racing Car

2007 ◽  
pp. 191-214
Author(s):  
Giampiero Mastinu ◽  
Massimiliano Gobbi ◽  
Carlo Miano
Keyword(s):  
Optimal Design ◽  
Suspension System

Multi-Objective Optimal Design of Passive Suspension System With Inerter Damper

2018 ◽  
Author(s):  
Xiaotian Xu ◽  
Yousef Sardahi ◽  
Chenyu Zheng
Keyword(s):  
Optimal Design ◽  
Suspension System ◽  
Design Parameters ◽  
Head Acceleration ◽  
Crest Factor ◽  
Nsga Ii ◽  
Passive Suspension ◽  
Trade Offs ◽  
Passive Suspension System ◽  
Unsprung Mass

This paper presents a many-objective optimal design of a four-degree-of-freedom passive suspension system with an inerter device. In the optimization process, four objectives are considered: passenger’s head acceleration (HA), crest factor (CF), suspension deflection (SD), and tire deflection (TD). The former two objectives are important for the health and comfort of the driver and the latter two quantify the suspension system performance. The spring ks and damping cs constants between the sprung mass and unsprung mass, the inertance coefficient B, and the tire spring constant ky are considered as design parameters. The non-dominated sorting genetic algorithm (NSGA-II) is used to solve this optimization problem. The results show that there are many optimal trade-offs among the design objectives that could be applicable to suspension design in the industry.

Vehicle Handling Dynamics Optimization Based in Passive Suspension Settings in Target Cascading Framework

2014 ◽  
Author(s):  
Juan C. Blanco ◽  
Luis E. Muñoz
Keyword(s):  
Optimal Design ◽  
Optimization Problem ◽  
Suspension System ◽  
Dynamics Simulation ◽  
Design Stage ◽  
Partial Geometry ◽  
Embodiment Design ◽  
Design Variables ◽  
Target Cascading

The vehicle optimal design is a multi-objective multi-domain optimization problem. Each design aspect must be analyzed by taking into account the interactions present with other design aspects. Given the size and complexity of the problem, the application of global optimization methodologies is not suitable; hierarchical problem decomposition is beneficial for the problem analysis. This paper studies the handling dynamics optimization problem as a sub-problem of the vehicle optimal design. This sub-problem is an important part of the overall vehicle design decomposition. It is proposed that the embodiment design stage can be performed in an optimal viewpoint with the application of the analytical target cascading (ATC) optimization strategy. It is also proposed that the design variables should have sufficient physical significance, but also give the overall design enough design degrees of freedom. In this way, other optimization sub-problems can be managed with a reduced variable redundancy and sub-problem couplings. Given that the ATC strategy is an objective-driven methodology, it is proposed that the objectives of the handling dynamics, which is a sub-problem in the general ATC problem, can be defined from a Pareto optimal set at a higher optimization level. This optimal generation of objectives would lead to an optimal solution as seen at the upper-level hierarchy. The use of a lumped mass handling dynamics model is proposed in order to manage an efficient optimization process based in handling dynamics simulations. This model contains detailed information of the tire properties modeled by the Pacejka tire model, as well as linear characteristics of the suspension system. The performance of this model is verified with a complete multi-body simulation program such as ADAMS/car. The handling optimization problem is presented including the proposed design variables, the handling dynamics simulation model and a case study in which a double wishbone suspension system of an off-road vehicle is analyzed. In the case study, the handling optimization problem is solved by taking into account couplings with the suspension kinematics optimization problem. The solution of this coupled problem leads to the partial geometry definition of the suspension system mechanism.

A Computer Aided Engineering Approach for the Optimal Design of an Active Suspension System

2009 ◽  
Author(s):  
Marco Gubitosa ◽  
Jan Anthonis ◽  
Nicolas Albarello ◽  
Wim Desmet
Keyword(s):  
Optimal Design ◽  
Control Strategy ◽  
Degrees Of Freedom ◽  
System Modeling ◽  
Active Suspension ◽  
Suspension System ◽  
Design Parameters ◽  
Design Development ◽  
Detailed Model ◽  
Multidisciplinary System

Within companies dealing with the automotive market, and in particular for product designers, the usage of numerical simulations is a well established technique to help achieving faster development cycles. Focusing on the very first phase of the design development chain conceptual (ID) modeling software is better suited. Furthermore considering the multiphysics nature of vehicle subsystems, a multidisciplinary system modeling tool is required, which has to be enriched with optimization capabilities in order to produce a suitable design of complex systems involving multiphysics functionalities (for instance for active safety and energy management). The purpose of this paper is to summarize a procedure that has been applied for the optimal design of an active suspension with hydraulic actuation, governed by a general control strategy based on the sky-hook approach, to be manufactured by Tenneco. A 15 Degrees of Freedom (DOF) vehicle model, built in a commercially available 1D simulation environment, has been validated as a first step towards achieving a good correlation with experimental results obtained on the test tracks. As a next step, the sky-hook based control strategy was implemented to take into account the active behavior of the system, and to define the load profiles acting on the suspension dampers while the vehicle is virtually tested on ride roads. Optimization loops were performed in a nested architecture in order to define the optimal gains needed to meet certain performance requirements dictated by the vehicle manufacturer. A detailed model of the damping system was implemented in LMS Imagine.Lab AMESim capturing its multidisciplinary nature including mechanical, hydraulic and electrical aspects. The mission profiles (force-velocity couples at the dampers) were used as input to the simulations to investigate the damping system design parameters considering performance achievement and energy efficiency goals. The results of this project have been used by Tenneco as guidelines for the physical prototype implementation of the active suspension system.

Optimal design of passive suspension system of a 6 × 6 multi-wheeled all-terrain vehicle using genetic algorithm

2018 ◽  
Vol 25 (3/4) ◽  
pp. 508 ◽  
Author(s):  
Mahmoud Mohsen ◽  
Hisham Kamel ◽  
Alhossein Mostafa Sharaf ◽  
Samir Mohamed El Demerdash
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Suspension System ◽  
Passive Suspension ◽  
Passive Suspension System

Optimal Design of the Suspension System of Railway Vehicles

2007 ◽  
pp. 263-283
Author(s):  
Giampiero Mastinu ◽  
Massimiliano Gobbi ◽  
Carlo Miano
Keyword(s):  
Optimal Design ◽  
Suspension System ◽  
Railway Vehicles

scholarly journals A contribution to optimal design of vehicle active suspension system

2005 ◽  
pp. 326-334
Author(s):  
Miroslav Demic ◽  
Djordje Diligenski ◽  
Ivan Demic
Keyword(s):  
Optimal Design ◽  
Active Suspension ◽  
Suspension System

Novel Optimal Design Approach for Output‐Feedback H ∞ Control of Vehicle Active Seat‐Suspension System

2018 ◽  
Vol 22 (1) ◽  
pp. 411-422 ◽  
Author(s):  
Chunyu Wei ◽  
Yue Cai ◽  
Ke Zhang ◽  
Zhan Wang ◽  
Wenda Yu
Keyword(s):  
Optimal Design ◽  
Output Feedback ◽  
Suspension System ◽  
Design Approach ◽  
Seat Suspension
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