An interval-based multi-objective robust design optimization for vehicle dynamics

Drehmer, Luis Roberto Centeno; Gomes, Herbert Martins; Casas, Walter Jesus Paucar

doi:10.1080/15397734.2022.2088557

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…Afterward, a multi-objective optimization function based on interval analysis was formulated, and a novel multi-objective particle swarm optimization algorithm was designed for the robust optimization of the suspension hardpoint coordinates. Drehmer et al 4 developed an interval-based approach for multi-objective robust optimization, which was applied to optimize a 15DOF model of vehicle dynamics. Unlike traditional robust optimization methods, the proposed algorithm uses non-probabilistic Rx-cut interval analysis for quantifying uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Position design of the trailing arm bushing on torsion beam suspension accounting for vehicle transient handling performance and uncertainties

Gao,

2023

Advances in Mechanical Engineering

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The bushing of the trailing arm on torsion beam suspension plays a pivotal role in vehicle dynamic behavior. In this paper, the connection between bushing position and vehicle dynamic response is elucidated. According to the simulation results, the impact of the bushing position on the transient performance of vehicle is more pronounced at low handling frequencies, and different index under the same bushing position are not always optimal. To design the bushing position that is better for evaluation indexes, this paper formulates the design problem of the bushing position as a multi-objective optimization problem. Due to the influence of actual production and processing, inevitable errors in bushing position may result in vehicle performance not meeting design requirements. Therefore, this paper takes into consideration the uncertainties and conducts robust multi-objective optimization to design the bushing position. To address the computational burden associated with robust optimization, the RBF approximation model is developed in this paper. Finally, the optimization problem is solved with the NSGA-II intelligent algorithm. The optimization results show that the bushing position designed by robust multi-objective optimization results in vehicle with stronger anti-roll performance and better robustness for each evaluation index. It is more suitable for practical applications.

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Section: Introductionmentioning

confidence: 99%

Position design of the trailing arm bushing on torsion beam suspension accounting for vehicle transient handling performance and uncertainties

Gao,

2023

Advances in Mechanical Engineering

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“…In this sense, the literature has addressed the design of the suspension and steering systems using several methods (e.g. [8][9][10][11][12][13][14][15] ). They encompass approaches in which well-known vehicle system dynamics simulation packages or analytical equations are used to simulate, OPEN 1 Instituto de Ingeniería Mecánica y Biomecánica (I2MB), Universitat Politècnica de València (UPV), Camino de Vera S/N, 46022 Valencia, Spain.…”

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confidence: 99%

Multiobjective optimization framework for designing a steering system considering structural features and full vehicle dynamics

Llopis-Albert,

Rubio,

Devece

et al. 2023

Sci Rep

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Vehicle handling and stability performance and ride comfort is normally assessed through standard field test procedures, which are time consuming and expensive. However, the rapid development of digital technologies in the automotive industry have enabled to properly model and simulate the full-vehicle dynamics, thus drastically reducing design and manufacturing times and costs while enhancing the performance, safety, and longevity of vehicle systems. This paper focus on a computationally efficient multi-objective optimization framework for developing an optimal design of a vehicle steering system, which is carried out by coupling certain computer-aided design tools (CAD) and computer-aided engineering (CAE) software. The 3D CAD model of the steering system is made using SolidWorks, the Finite Element Analysis (FEA) is modelled using Ansys Workbench, while the multibody kinematic and dynamic is analysed using Adams/Car. They are embedded in a multidisciplinary optimization design framework (modeFrontier) with the aim of determining the optimal hardpoint locations of the suspension and steering systems. This is achieved by minimizing the Ackermann error and toe angle deviations, together with the volume, mass, and maximum stresses of the rack-and-pinion steering mechanism. This enhances the vehicle stability, safety, manoeuvrability, and passengers’ comfort, extends the vehicle systems reliability and fatigue life, while reducing the tire wear. The method has been successfully applied to different driving scenarios and vehicle maneuvers to find the optimal Pareto front and analyse the performance and behaviour of the steering system. Results show that the design of the steering system can be significantly improved using this approach.

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Correlation propagation for dynamic analysis of a multibody system with multiple interval parameters

Jiang,

Bai

2024

Multibody Syst Dyn

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An interval-based multi-objective robust design optimization for vehicle dynamics

Cited by 7 publications

References 33 publications

Position design of the trailing arm bushing on torsion beam suspension accounting for vehicle transient handling performance and uncertainties

Position design of the trailing arm bushing on torsion beam suspension accounting for vehicle transient handling performance and uncertainties

Multiobjective optimization framework for designing a steering system considering structural features and full vehicle dynamics

Correlation propagation for dynamic analysis of a multibody system with multiple interval parameters

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