Hybrid Model Predictive Control of Semiactive Suspension in Electric Vehicle with Hub-Motor

Jiang, Hong; Wang, Chengchong; Li, Zhongxing; Liu, Chenlai

doi:10.3390/app11010382

Cited by 16 publications

(5 citation statements)

References 33 publications

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“…To study the dynamic response characteristics of the vehicle on a discrete road, a model of bump road excitation is established as follows [33] Unsprung mass (m 1 )…”

Section: Bump Road Excitationmentioning

confidence: 99%

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Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Ding,

Wang,

Wang

et al. 2023

Shock and Vibration

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To cope with the deterioration of vehicle dynamic performance induced by the increased mass and vertical stiffness of selected nonpneumatic wheels (NPWs), this study proposed a new vibration damping system (NVDS) based on the dynamic vibration absorber (DVA). First, a quarter-vehicle model containing the effective vertical stiffness of the NPW is established. Then, the effect of increased wheel mass and stiffness on vehicle dynamic performance is investigated from various aspects. To improve the handling performance of the vehicle with NPWs, a DVA-based NVDS is proposed. The sensitivities of handling performance and ride comfort to parameter changes are investigated to determine the selection range of parameters. The multiobjective genetic algorithm (GA) is employed to determine the optimal parameters of NVDS. The results obtained under different road excitations indicate that the proposed NVDS can significantly enhance the handling performance and ride comfort of the vehicle.

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“…To study the dynamic response characteristics of the vehicle on a discrete road, a model of bump road excitation is established as follows [33] Unsprung mass (m 1 )…”

Section: Bump Road Excitationmentioning

confidence: 99%

“…is the DWL and G � (m 1 + m 2 )g is the static wheel load. Substituting equation (28) into equation (33) we get…”

Section: Analysis Of Frequency-domain Responsementioning

confidence: 99%

Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Ding,

Wang,

Wang

et al. 2023

Shock and Vibration

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show abstract

“…They focused on evaluating two different weight distribution models 60:40 for normal vehicles and 40:60 for electric vehicle conversion. Jiang et al [3] investigated solving unbalanced electromagnetic force in hub motors resulting in the deterioration of the dynamic performance of the electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Suspension system design for pedal-assisted cargo E-quadricycle

Genç

2024

International Journal of Automotive Engineering and Technologies

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Electro Micro-Mobility (EMM) has widely increased in Today‘s transportation preferences. The suspension system design based on the road profile in E-Quadricycle needs further investigation to present more optimized EMM vehicles soon. In this study, the pedal-assisted Cargo E-Quadricycle is investigated based on powertrain system modeling considering suspension system design. System modeling is applied to have an optimized suspension system design specified for Cargo E-Quadricycle to provide more comfortable driving. To achieve these targets, one-dimensional physical modeling is obtained, and the key parameters for system design are defined based on the State-space system modeling definition. In the next phase, the suspension system is constructed as a passive-controlled type with assigned suspension parameters considering natural frequency to provide driving comfort in urban transportation. Because four-wheeler Pedal-Assisted Cargo E-Quadricycles have specific vehicle kinematics and dynamics based on their own limited acceleration system and vehicle design, this study presents the suspension system design steps and remarkable dynamic concerns.

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“…Much research has been carried out, and various control methods, such as skyhook control (SHC) (Ding et al, 2018; Wang et al, 2021), linear optimization control (Li et al, 2019; Prassad S and Keppanan, 2019), adaptive control (Li et al, 2018; Zhang et al, 2020), sliding mode control (Pusadkar et al, 2019; Rath et al, 2020), and model predictive control (Sun et al, 2017; Jiang et al, 2021) have been proposed for vehicle suspension. However, the above control methods fail to consider the negative control effect caused by the response time delay of the MSAS system.…”

Section: Introductionmentioning

confidence: 99%

Research on time-delay-dependent H_∞/H₂ optimal control of magnetorheological semi-active suspension with response delay

Ding

Wang

Meng³

et al. 2022

Journal of Vibration and Control

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Considering the influence of the magnetorheological damper response time delay on the low-frequency vibration (body vibration) and multi-objective control requirements of the semi-active suspension system, a novel H∞/ H2 controller (time-delay-dependent H∞/ H2 optimal controller) is proposed in this paper. Based on the Lyapunov–Krasovskii function and robust control theory, a time-delay-dependent H∞/ H2 controller in consideration of the MR damper response time delay is designed to reduce and remove the effects of time delay on the semi-active suspension system. To obtain better suspension control performances, the optimal selection strategy of anti-interference coefficients in the time-delay-dependent H∞/ H2 controller is proposed. Then, the time-delay-dependent H∞/ H2 optimal controller is structured built on the optimal selection strategy. With the application of matrix properties and the cone-compensation linearization algorithm, the nonlinear matrix inequality for controller design is linearized, and the feedback gain matrix of the controller is solved iteratively. Finally, comparative simulation and experimental research are conducted to verify the effectiveness and superiority of the designed optimal controller.

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Hybrid Model Predictive Control of Semiactive Suspension in Electric Vehicle with Hub-Motor

Cited by 16 publications

References 33 publications

Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Suspension system design for pedal-assisted cargo E-quadricycle

Research on time-delay-dependent H_∞/H₂ optimal control of magnetorheological semi-active suspension with response delay

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Hybrid Model Predictive Control of Semiactive Suspension in Electric Vehicle with Hub-Motor

Cited by 16 publications

References 33 publications

Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Design and Optimization of a New Vibration Damping System for the Driving Characteristics of the Selected Case of Replacing Pneumatic Wheels with Nonpneumatic Wheels

Suspension system design for pedal-assisted cargo E-quadricycle

Research on time-delay-dependent H∞/H2 optimal control of magnetorheological semi-active suspension with response delay

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Product

Resources

About

Research on time-delay-dependent H_∞/H₂ optimal control of magnetorheological semi-active suspension with response delay