Analysis of ride comfort and road friendliness of heavy vehicle inertial suspension based on the ground-hook control strategy

Yang, Dedi; Yang, Xiaofeng; Shen, Yujie; Liu, Yanling; Bi, Shuilan; Liu, Xiaofu

doi:10.1177/09544070231151812

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…Chen et al [85] conducted parameter sensitivity analysis and optimized the SWS i (k) to 1.47%. Yang et al [87] argued that the optimization of SWS i (k) is 16.19%. Bingül et al [93] achieved a 60% optimization of SWS i (k) using fuzzy logic control.…”

Section: Comparison With the Existing Literaturementioning

confidence: 99%

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Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles

Yin,

Wang,

et al. 2024

WEVJ

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The suspension system is a crucial part of an electric vehicle, which directly affects its handling performance, driving comfort, and driving safety. The dynamics of the 8-DoF full-vehicle suspension with seat active control are established based on rigid-body dynamics, and the time-domain stochastic excitation model of four tires is constructed by the filtered white noise method. The suspension dynamics model and road surface model are constructed on the Matlab/Simulink simulation software platform, and the simulation study of the dynamic characteristics of active suspension based on the fractional-order PIλDµ control strategy is carried out. The three performance indicators of acceleration, suspension dynamic deflection, and tire dynamic displacement are selected to construct the fitness function of the genetic algorithm, and the structural parameters of the fractional-order PIlDm controller are optimized using the genetic algorithm. The control effect of the optimized fractional-order PIlDm controller based on the genetic algorithm is analyzed by comparing the integer-order PID control suspension and passive suspension. The simulation results show that for optimized fractional-order PID control suspension, compared with passive suspension, the average optimization of the root mean square (RMS) of acceleration under random road conditions reaches over 25%, the average optimization of suspension dynamic deflection exceeds 30%, and the average optimization of tire dynamic displacement is 5%. However, compared to the integer-order PID control suspension, the average optimization of the root mean square (RMS) of acceleration under random road conditions decreased by 5%, the average optimization of suspension dynamic deflection increased by 3%, and the average optimization of tire dynamic displacement increased by 2%.

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Section: Comparison With the Existing Literaturementioning

confidence: 99%

“…Wu et al [86] achieved a 12.16% optimization of DTD i (k). Yang et al [87] achieved a 10.02% DTD i (k) optimization using a ground-hook control strategy. Li et al [92] obtained a high DTD i (k) optimization rate of 39.71% by using the genetic algorithm.…”

Section: Comparison With the Existing Literaturementioning

confidence: 99%

Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles

Yin,

Wang,

et al. 2024

WEVJ

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“…As a vehicle control system, the ESP mainly includes sensors, brakes, engine control modules and microcomputers [37]. The ESP can maintain the vehicle stability by monitoring the driving status in real-time through a microcomputer and enabling the vehicle to drive according to the driver intention [38]. The vehicle sensors transmit the collected steering wheel angle, yaw rate, lateral acceleration, and wheel speed to the ESP system, which processes and calculates these signals.…”

Section: Structure and Application Principles Of The Espmentioning

confidence: 99%

Hardware-in-the-Loop Simulation of Vehicle Driving State for Esp Dynamic Electrical Performance Testing

2023

IJOMAM

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With the development of autonomous driving technology, the ESP (Electronic stability program) has been widely used in the vehicle field. The safety and stability of vehicle driving have always been a particularly important issue. The complexity of electronic control systems makes it impractical to conduct online electrical performance testing on real vehicles in research and development. In this paper, a new signal simulation method for the ESP dynamic electrical performance testing is proposed by comparing the HIL (Hardware-in-the-loop) simulation methods for vehicles and analyzing the impact of the ESP on vehicle safety and stability. To begin with, a comprehensive structural design scheme for the HIL simulation platform which is proposed by analyzing the ESP structure and control principle. Then, the principle of lateral acceleration and yaw rate that is generated by vehicle which is analyzed, and a three-dimensional model of the combined simulation device was built. Subsequently, the physical development of the simulation device was completed. Finally, the feasibility of the simulation device was verified. The experimental results indicate that the simulation device can generate continuous lateral acceleration and yaw rate signals. With the motor rotation changes, the generated signal error is different. But the generated overall error is relatively small. Therefore, the simulation device can meet the usage requirements.

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Improving the energy efficiency and riding comfort of high-speed trains across slopes by the optimized suspension control

Zhang,

Tao,

Zhou

et al. 2024

Energy

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Analysis of ride comfort and road friendliness of heavy vehicle inertial suspension based on the ground-hook control strategy

Cited by 3 publications

References 28 publications

Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles

Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles

Hardware-in-the-Loop Simulation of Vehicle Driving State for Esp Dynamic Electrical Performance Testing

Improving the energy efficiency and riding comfort of high-speed trains across slopes by the optimized suspension control

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