Parametric optimization of a steering system based on dynamic constraints collaborative optimization method

Cui, Taowen; Zhao, Wanzhong; Wang, Chunyan

doi:10.1007/s00158-019-02376-7

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…4 Improving the handling stability of vehicles by optimizing steering system parameters has also been the subject of much research. [10][11][12][13][14][15][16][17][18] Chunyan Wang introduces steering modality into the study of steering systems, combining a dynamical model with a physical model to investigate the performance of steering feel, steering sensitivity, and steering modality. Based on the dynamical model of the vehicle and the steering system, transfer functions for steering feel, steering sensitivity, and steering stability are derived.…”

Section: Introductionmentioning

confidence: 99%

“…On this basis, a multi-objective optimization model is established and a non-dominated ranking genetic algorithm based on the fitness function is proposed to improve the comprehensive performance of the EHPS system, which successfully achieves multi-objective optimization of steering flexibility, steering road feel, and steering energy loss while ensuring steering stability. 14 Several scholars have studied the influence of the steering system on the vehicle handling stability from different perspectives, and some have optimized the relevant parameters of the steering system through different optimization methods. However, there has been little research into the analysis and optimization of vehicle transient characteristics with considering handling frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and optimization of vehicle transient characteristics under sine-swept steering input with considering steering system stiffness and damping

Gao

2022

Proceedings of the Institution of Mechanical Engineers, Part K:

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This study focuses on the influence of steering system stiffness and damping on the vehicle transient characteristics at two different types of handling frequencies, and optimizes the vehicle transient characteristics with steering system stiffness and damping as optimization variables at both handling frequencies. The kinematic relationship between wheel angle and steering wheel angle is derived as well as a detailed analysis of the forces on the steering linkage. The differential equations of vehicle dynamics are developed to explain the influence of steering system stiffness and damping on the vehicle transient characteristics theoretically. The stiffness and damping, which have a significant influence on the vehicle transient characteristics, are selected by sensitivity analysis and used as variables for simulation verification. Simulation results show that the influence of steering system stiffness and damping on vehicle transient characteristics is different at high handling frequencies and low handling frequencies. The stiffness and damping are used as optimization variables and the objective evaluation indexes of vehicle transient characteristics at high handling frequencies and low handling frequencies are used as optimization targets for multi-objective optimization by the NSGA-II optimization algorithm. The optimization results show that: The yaw rate gain relative to steering wheel angle and the delay time of lateral acceleration relative to steering wheel angle are improved at both low and high frequencies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis and optimization of vehicle transient characteristics under sine-swept steering input with considering steering system stiffness and damping

Gao

2022

Proceedings of the Institution of Mechanical Engineers, Part K:

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“…With the development of electronic technology, vehicle active safety system no longer only focus on the realization of safety functions. 10,11 The drivers are often integrated into the system design to improve the driving experience, 12 which includes driving style, driving proficiency, and driver gender, etc. 13 As the driving style is a habitual driving operation mode, which can reflect the driver’s driving characteristics to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style

Zou

Luan

Zhao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to meet the needs of drivers with different driving styles and improve driving comfort and safety, a personalized design strategy of vehicle steer-by-wire (SBW) characteristics considering driving style is proposed in this paper. Firstly, based on the driver hardware-in-the-loop test bench, the driver’s driving characteristic data is collected under double lane change condition. Then, the K-means clustering algorithm is adopted to classify the driver’s driving style into cautious type, general type and radical type. Based on this, combined with the clustering results and grid search method, the support vector machine algorithm is used to construct the driving style identification model. Finally, considering the driving style, vehicle stability and steering wheel alignment characteristics, the driver personalized variable steering ratio strategy is designed based on the ideal transmission characteristics, and the personalized SBW performance is analyzed under step condition and sinusoidal condition. The results indicate that the proposed personalized design strategy of vehicle SBW characteristics considering driving style can not only accurately identify driving style, but also meet the needs of drivers with different driving styles for vehicle response.

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“…Tao et al (2018) presented a new optimization method based on enhanced collaborative optimization which systematically brings in the Lagrangian multipliers used by the alternating direction method of multipliers (ECO-ADMM). Cui et al (2020) presented dynamic constraints collaborative optimization (DCCO). In which the system-level equality constraints are replaced by dynamic constraints using a multivariate function Taylor expansion method.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary collaborative optimization based on relaxation method for solving complex problems

Chagraoui

Soula

2020

Concurrent Engineering

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The purpose of the present work is to improve the performance of the standard collaborative optimization (CO) approach based on an existing dynamic relaxation method. This approach may be weakened by starting design points. First, a New Relaxation (NR) method is proposed to solve the difficulties in convergence and low accuracy of CO. The new method is based on the existing dynamic relaxation method and it is achieved by changing the system-level consistency equality constraints into relaxation inequality constraints. Then, a Modified Collaborative Optimization (MCO) approach is proposed to eliminate the impact of the information inconsistency between the system-level and the discipline-level on the feasibility of optimal solutions. In the MCO approach, the impact of the inconsistency is treated by transforming the discipline-level constrained optimization problems into an unconstrained optimization problem using an exact penalty function. Based on the NR method, the performance of the MCO approach carried out by solving two multidisciplinary optimization problems. The obtained results show that the MCO approach has improved the convergence of CO significantly. These results prove that the present MCO succeeds in getting feasible solutions while the CO fails to provide feasible solutions with the used starting design points.

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Parametric optimization of a steering system based on dynamic constraints collaborative optimization method

Cited by 8 publications

References 19 publications

Analysis and optimization of vehicle transient characteristics under sine-swept steering input with considering steering system stiffness and damping

Analysis and optimization of vehicle transient characteristics under sine-swept steering input with considering steering system stiffness and damping

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style

Multidisciplinary collaborative optimization based on relaxation method for solving complex problems

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