Research on the Stability Control Strategy of Four-Wheel Independent Driving Electric Vehicle

Peng, Bo; Zhang, Huan‐Huan; Zhao, Peiteng

doi:10.4236/eng.2017.93018

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…It will reflect two important indicators of the stability of high clearance spray, namely γ And β It is defined as the system state variable, with the expected value calculated by the simplified model of the linear 2-degree of freedom high clearance spray as the control target, and the additional yaw moment of the vehicle body generated by the distribution of driving force of each wheel of the high clearance spray as the input [24][25] , then the control equation is:…”

Section: Design Of Model Predictive Controllermentioning

confidence: 99%

“…During the simulation, the speed of the spray locomotive is 20km/h, and the steering wheel angle is a sine input for simulation, where the road adhesion coefficient is 0.8, and the steering wheel angle input is approximate to a sine function [18][19][20] , as shown in the figure, and the transfer function from the steering wheel to the front wheel angle [25] is not considered. Therefore, this paper believes that the front wheel angle is also a sine input, and MATLAB/Simulink uses ode4 (Runge kutta) solver, with a fixed step value of 0.001, The simulation time is set to 10 seconds.…”

Section: Simulation and Analysis Of The Control Effectmentioning

confidence: 99%

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Yaw Stability Control of High-Clearance Sprayer Driven by Hub Motor

Wang,

Liu,

Zhang

et al. 2023

Advances in Transdisciplinary Engineering

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Based on the active torque distribution of hub motor, the stability of agricultural vehicles with high clearance spray can be controlled. The seven degree of freedom model of the chassis of the high clearance spray, the tire model and the simplified degree of freedom model of the spray are established. With two important indicators reflecting the stability of the high clearance spray as state variables, The yaw High clearance spray stability controller based on model prediction design control; Simulate and analyze using Matlab/Simulink under sinusoidal operating conditions of a stable speed of 20 km/h and steering wheel angle. Two important indicators reflecting the stability of the high clearance spray, namely yaw rate and sideslip angle of the center of mass, were controlled. The simulation results show that, compared with no control,the model predictive control reduced the absolute average error of the two important indicators reflecting the stability of the high clearance spray by 45% and 30%, respectively, and effectively improved the working stability of the spray.

show abstract

Section: Design Of Model Predictive Controllermentioning

confidence: 99%

Section: Simulation and Analysis Of The Control Effectmentioning

confidence: 99%

Yaw Stability Control of High-Clearance Sprayer Driven by Hub Motor

Wang,

Liu,

Zhang

et al. 2023

Advances in Transdisciplinary Engineering

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show abstract

“…Secondly, during the process of starting on a ramp, the vehicle is prone to slip on low-adhesion road or undulating road, which affects the effect of the hill start. In severe cases, it will even slip down the ramp, leading to the failure of the hill start and irreparable loss of the driver's life and property [19]- [21]. Therefore, in the middle torque correction layer, anti-slip control is the core.…”

Section: A Overall Architecture Of Vehicle Controllermentioning

confidence: 99%

“…By eliminating variables, the torque correction value of each driving wheel can be obtained, as (21) shown at the bottom of the next page:…”

Section: ) Analysis Of Hill Startmentioning

confidence: 99%

Hill-Start of Distributed Drive Electric Vehicle Based on Pneumatic Electronic Parking Brake System

Wang

et al. 2020

IEEE Access

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The hill-start assist system (HAS) ensures that the vehicle starting on the ramp will not roll backwards, which improves the convenience of the driving in the case of starting on the ramp and parking. However, the traditional hill-start method is not suitable for distributed driving electric vehicles under some circumstances. Therefore, based on the pneumatic electronic parking brake system (EPB), a hill-start control method suitable for distributed driving electric vehicles is proposed in this paper, so as to realize the vehicle's fast and stable starting on the ramp. Firstly, by analyzing the change of the force of the vehicle during the starting of the ramp, a dynamic allocation strategy based on the front and rear axle loads is adopted in terms of demand torque. Secondly, according to the force analysis of the vehicle on the ramp, the control target of hill-start is determined, and the logic threshold control method is used to make the actual pressure change with the ideal pressure in real time. Then, a driving torque correction controller based on the sliding mode algorithm is designed to prevent driving wheels from slipping on bad roads, resulting in a reduction in the total driving force and a rollback of the vehicle. Finally, to verify its feasibility, Matlab, Trucksim and AMEsim were used to establish the controller model, the vehicle model and the pneumatic EPB system model for co-simulation verification. The simulation results show that the proposed control strategy can prevent the vehicle from slipping under different road conditions with less brake wear.

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Acceleration slip regulation by electric motor torque of battery electric vehicle with nonlinear model predictive control approach

Yuan

Shi

et al. 2022

Vehicle System Dynamics

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Research on the Stability Control Strategy of Four-Wheel Independent Driving Electric Vehicle

Cited by 5 publications

References 3 publications

Yaw Stability Control of High-Clearance Sprayer Driven by Hub Motor

Yaw Stability Control of High-Clearance Sprayer Driven by Hub Motor

Hill-Start of Distributed Drive Electric Vehicle Based on Pneumatic Electronic Parking Brake System

Acceleration slip regulation by electric motor torque of battery electric vehicle with nonlinear model predictive control approach

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