Multidisciplinary design optimization for vehicle handling stability of steering-by-wire system

Chen, Huipeng; Chen, Xuanwei; Chen, Chang; Peng, Zhangming; Gong, Youping; Chen, Guojin

doi:10.1007/s11227-017-2208-2

Cited by 7 publications

(7 citation statements)

References 15 publications

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“…When the vehicle is driving at a constant speed, the system enters the steady state, and the stability factors K 1 and K 2 can be obtained from the k 1 and k 2 in equations (2).…”

Section: Classical Mathematical Model Of a Two-dof Systemmentioning

confidence: 99%

“…Changes in the camber and toe angles of the tire are affected by body roll, which manifest as the yaw rate response of the semitrailer train and affect the steering stability of the entire vehicle [2,[16][17][18].…”

Section: Mathematical Model Considering the Camber Anglementioning

confidence: 99%

“…Semitrailer and other articulated vehicles are complex dynamic systems with the coupling effects of the tractor and the trailer. e research for the handling and stability of vehicles is to maintain the vehicle trajectory and control its yaw [1][2][3]. To date, theoretical research on vehicle handling and stability is primarily through the establishment of mathematical models.…”

Section: Introductionmentioning

confidence: 99%

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Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

Wei

Zhang

et al. 2020

Shock and Vibration

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To master the basic characteristics of steady-state cornering for a semitrailer, this paper summarises the current modelling methods for handling and stability and discusses their limitations. The classical linear mathematical model for a two-degree-of-freedom (DOF) handling and stability system is used to develop a new model. Analysis methods are proposed to introduce the influence of the camber angle and body roll into the model parameters. Thus, a mathematical model for the lateral stability of semitrailer with five DOFs is established. At the same time, a modified formula to calculate the stability factor of the semitrailer is developed with a MATLAB model to solve the dynamic state equation. The mathematical model, which considers the body roll and the changes in the camber angle caused by roll, compares the turning radius ratio and yaw rate as the evaluation index with the classical linear mathematical model of a two-DOF system. The vehicle parameters for three different types of semi-tractor trailers are used to calculate and compare two mathematical models for handling and stability using real vehicle test data. The results show that the new modelling and analysis method proposed in this paper has a high calculation accuracy and fast calculation speed, is clear and concise, and is consistent with the real vehicle test data. In addition, the accuracy of the new mathematical model for handling and stability and the improved stability factor are verified.

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“…When the vehicle is driving at a constant speed, the system enters the steady state, and the stability factors K 1 and K 2 can be obtained from the k 1 and k 2 in equations (2).…”

Section: Classical Mathematical Model Of a Two-dof Systemmentioning

confidence: 99%

Section: Mathematical Model Considering the Camber Anglementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

Wei

Zhang

et al. 2020

Shock and Vibration

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“…To address the problems of steering road feel, and optimization of the steering and sensitivity of the automobile, a novel vehicle handling stability evaluation method is proposed by Chen et al [3]. They analyzed the influence of the important parameters on the steering system using the method of absolute sensitivity.…”

Section: Computational Optimizationmentioning

confidence: 99%

Machine learning on big data for future computing

2019

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IntroductionRecently, the integration of big data and machine learning technologies has emerged as an exciting new paradigm for industry and life. These technologies are fast-growing areas of research that cover the fields of Information and Communication Technologies (ICT) for future computing (FC). It becomes a preferable solution for solving complex problems in different fields, such as artificial intelligence, large-scale analysis systems, natural language processing, pattern recognition, video analysis, and telematics. For instance, AlphaGo, developed by Google DeepMind, changed the current paradigm of machine learning on big data after its steady win in the Google DeepMind Challenge. Machine learning is the art and science of designing computer algorithms from the dataset, and AlphaGo learns and improves performance by relying on massive data associated with huge games played by humans to improve artificial intelligence. Likewise, there are many issues to realize and provide effective services and applications with enormous attentions, and efforts have been focused on machine learning on big data for FC. Contributions to theoretical research presenting advanced technologies and concepts, analysis and reporting of experiences, and experiences related to the implementation and application of theories, as well as tutorials on emerging trends are required for these fields of research. As such, the purpose of this special issue is to provide an overview of the state-ofthe-art technologies and solution guidelines for these areas of research.This special issue covers pure research and applications within novel scopes related to machine learning on big data for future computing. In addition, it deals

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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%

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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Multidisciplinary design optimization for vehicle handling stability of steering-by-wire system

Cited by 7 publications

References 15 publications

Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

Steady-State Steering Characteristics of Mathematical Model for Semitrailer Based on Variations in Camber Parameters

Machine learning on big data for future computing

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

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