Research on Control Strategy of Differential Assisted Steering of Distributed Drive Electric Vehicle

2013 ◽  
Vol 431 ◽  
pp. 241-246
Author(s):  
Yi Chen ◽  
Jun Liu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Characteristic Curve ◽  
Work Load ◽  
Steering Wheel ◽  
Vehicle Speed ◽  
The Road ◽  
Power Steering ◽  
Wheel Torque ◽  
Distributed Drive Electric Vehicle

The distributed drive electric vehicle was studied in this paper. According to the advantages of the controllable and accurate wheel speed and torque the ideal differential assisted characteristic curve was designed under different vehicle speed as well as a control strategy for differential power steering, a vehicle dynamics model based on CarSim/Simulink and simulation experiments were conducted. The experimental results indicated that on the premise to guarantee the road feeling, the control strategy for differential power steering decreased the steering wheel torque, angle and reduced driver's work-load , improved markedly the steering portability of the distributed drive electric vehicle.

Research of Electric Power Steering System Assistance Characteristic Based on the Identification of the Road

2013 ◽  
Vol 756-759 ◽  
pp. 4401-4406 ◽  
Author(s):  
Qiang Li ◽  
Chang Gao Xia
Keyword(s):  
Characteristic Curve ◽  
Steering System ◽  
Lateral Acceleration ◽  
Steering Wheel ◽  
Analysis Model ◽  
The Road ◽  
Power Steering ◽  
Resistance Torque ◽  
Wheel Torque ◽  
The Difference

Study of traditional assist characteristic cure does not take into account the difference of steering resistance torque caused by different road adhesion coefficient. Vehicle dynamics analysis model is established based on ADAMS/CAR. Simulation of steering wheel torque is realized under different road conditions. Departure from the ideal boost characteristics requirements and combined with ideal steering wheel torque under different speed and lateral acceleration., the article built assist characteristic curve under a certain road conditions. The system can real-time select the assist characteristic curve through identifying the vehicle traveling road conditions by the way of BP neural network. The theory provided a feasible method for the improvement of the EPS system performance.

Matching Design of Assist Characteristic for Electric Hydraulic Power Steering System of Electric Bus

2013 ◽  
Vol 427-429 ◽  
pp. 235-240 ◽  
Author(s):  
Guo Biao Shi ◽  
Jin Long Cui ◽  
Peng Gu
Keyword(s):  
Characteristic Curve ◽  
Steering System ◽  
Steering Wheel ◽  
Vehicle Speed ◽  
Power Steering ◽  
Electric Bus ◽  
Relationship Of ◽  
Hydraulic Power Steering System ◽  
Hydraulic Power Steering ◽  
The Relationship

Electric hydraulic power steering system (EHPS) has the characteristics of high energy efficiency and reliability. In this paper, we focus on the design and analysis of assist characteristic for EHPS of electric bus. The relationship of steering assist power, steering wheel torque and steering resisting torque was analyzed; steering system model and vehicle dynamic model were built. By EHPS simulation, the relationship of pump flow rate, steering wheel angular velocity and vehicle speed was deduced and 3-D assist characteristic curve map was plotted, which was suitable for electric bus. In order to apply the assist characteristic curve into practice, we optimized the curve through BP neural network, and then obtained the assist power value under any vehicle speed and steering wheel angular velocity. Finally, EHPS simulation verified the optimized assist characteristic curve having a good performance.

Road Feel Design for Vehicle Steer-by-Wire System Based on Joystick

2013 ◽  
Vol 336-338 ◽  
pp. 734-737
Author(s):  
Hong Yu Zheng ◽  
Ya Ning Han ◽  
Chang Fu Zong
Keyword(s):  
Computer Simulation ◽  
Control Strategy ◽  
Vehicle Speed ◽  
Control Module ◽  
Matlab Simulink ◽  
The Road ◽  
Steering Feel ◽  
Steer By Wire ◽  
Simulation Results ◽  
Wire System

In order to solve the problem of road feel feedback of vehicle steer-by-wire (SBW) system based on joystick, a road feel control strategy was established to analyze the road feel theory of traditional steer system, which included return, assist and damp control module. By verifying the computer simulation results with the control strategy from software of CarSim and Matlab/Simulink, it shows that the proposed strategy can effective get road feel in different vehicle speed conditions and could improve the vehicle maneuverability to achieve desired steering feel by different drivers.

scholarly journals Experimental Study on Antivibration Control of Electrical Power Steering Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhaojian Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Control Strategy ◽  
Controller Design ◽  
Electrical Power ◽  
Steering System ◽  
Steering Wheel ◽  
Bench Test ◽  
Power Steering ◽  
Motor Controller ◽  
Hydraulic Steering ◽  
Wheel Vibration

We focus on the antivibration controller design problem for electrical power steering (EPS) systems. The EPS system has significant advantages over the traditional hydraulic steering system. However, the improper motor controller design would lead to the steering wheel vibration. Therefore, it is necessary to investigate the antivibration control strategy. For the implementation study, we also present the motor driver design and the software design which is used to monitor the sensors and the control signal. Based on the investigation on the regular assistant algorithm, we summarize the difficulties and problems encountered by the regular algorithm. After that, in order to improve the performance of antivibration and the human-like steering feeling, we propose a new assistant strategy for the EPS. The experiment results of the bench test illustrate the effectiveness and flexibility of the proposed control strategy. Compared with the regular controller, the proposed antivibration control reduces the vibration of the steering wheel a lot.

Control Strategy and Simulation Analysis for Auto Electric Power Steering System

2011 ◽  
Vol 236-238 ◽  
pp. 1603-1606
Author(s):  
Li Na Chen
Keyword(s):  
Electric Power ◽  
Control Strategy ◽  
Simulation Analysis ◽  
Characteristic Curve ◽  
Steering System ◽  
Control Mode ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System

This paper, while introduce development trend, basic structure and working principle for auto power steering system, is analyzing on characteristic curve of steering force in steering system. The paper proposed a control mode for electric power steering system, which, analyzing control strategy for power steering system based on control module, providing a new design thought and method for electric power steering system using MATLAB simulation analysis for steering dynamic features of electric power steering system and affects of road obstruction on steering system performance.

A Model Predictive Control Strategy for Lateral and Longitudinal Dynamics in Autonomous Driving

2020 ◽  
Author(s):  
Irfan Khan ◽  
Stefano Feraco ◽  
Angelo Bonfitto ◽  
Nicola Amati
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Autonomous Driving ◽  
Maximum Speed ◽  
Reference Trajectory ◽  
Vehicle Speed ◽  
The Road ◽  
Speed Regulation ◽  
Road Geometry

Abstract This paper presents a controller dedicated to the lateral and longitudinal vehicle dynamics control for autonomous driving. The proposed strategy exploits a Model Predictive Control strategy to perform lateral guidance and speed regulation. To this end, the algorithm controls the steering angle and the throttle and brake pedals for minimizing the vehicle’s lateral deviation and relative yaw angle with respect to the reference trajectory, while the vehicle speed is controlled to drive at the maximum acceptable longitudinal speed considering the adherence and legal speed limits. The technique exploits data computed by a simulated camera mounted on the top of the vehicle while moving in different driving scenarios. The longitudinal control strategy is based on a reference speed generator, which computes the maximum speed considering the road geometry and lateral motion of the vehicle at the same time. The proposed controller is tested in highway, interurban and urban driving scenarios to check the performance of the proposed method in different driving environments.

A New Control Strategy to Reduce Steering Torque Without Perceptible Vibration for Vehicles Equipped With Electric Power Steering

2010 ◽  
Vol 132 (5) ◽  
Author(s):  
Masahiko Kurishige ◽  
Osamu Nishihara ◽  
Hiromitsu Kumamoto
Keyword(s):  
Angular Velocity ◽  
Electric Power ◽  
Control Strategy ◽  
Steering Wheel ◽  
Velocity Control ◽  
Steering Control ◽  
Electric Power Steering ◽  
Power Steering ◽  
Wide Range ◽  
Steering Torque

This paper proposes a new electric power steering control strategy, which significantly reduces the effort needed to change the steering direction of stationary vehicles. Previous attempts to reduce undesirable steering vibration have failed to reduce the steering torque because high-assist gains tend to produce oscillation or increase noise sensitivity. Herein, to eliminate this vibration, a new control strategy was developed based on pinion angular velocity control using a newly developed observer based on a simplified steering model. Tests yielded excellent estimations of the pinion angular velocity, and this made it possible to eliminate vibration at all steering wheel rotation speeds. Experiments with a test vehicle confirmed significant steering torque reduction, over a wide range of steering wheel speeds, without vibration transmission to the driver. The proposed control strategy allowed use of an assist gain more than three times higher than is conventional. Additionally, the proposed control strategy does not require supplemental sensors.

Development of Fuel Cell Hybrid Electric Vehicle Simulator and HCU

2010 ◽  
Vol 26-28 ◽  
pp. 1110-1114
Author(s):  
Dong Ji Xuan ◽  
Qian Ning ◽  
Zhen Zhe Li ◽  
Tai Hong Cheng ◽  
Yun De Shen
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Cell Hybrid ◽  
Hybrid Electric Vehicle ◽  
Driver Model ◽  
Vehicle Speed ◽  
Battery Capacity ◽  
Hybrid Electric ◽  
Fuel Cell Hybrid

Based on the Matlab/Simulink module modeling for Fuel Cell Hybrid Electric Vehicle was carried out, which is comprised of the fuel cell stack model, a DC/DC converter model, a battery model, a motor model, avehiclemodel and a driver model, and Hybrid Control Unit(HCU) was developed. The HCU control strategy also incorporates regenerative braking and recharge for battery capacity recovery. Vehicle speed effect is evaluated in New Europe Driving Cycle. The simulation result that the control strategy implemented by HCU is achievable, and which proves that the mode of Start, Accele_FCBat, Cruise, RE_Brake, Power_FC and Pause operate sequently as well as reliably.

scholarly journals Research on Torque Ratio Based on the Steering Wheel Torque Characteristic for Steer-by-Wire System

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Yandong Han ◽  
Lei He ◽  
Xiang Wang ◽  
Changfu Zong
Keyword(s):  
Force Feedback ◽  
Characteristic Curve ◽  
Transmission Ratio ◽  
Steering Wheel ◽  
Vehicle Handling ◽  
Design Goal ◽  
Torque Transmission ◽  
Steer By Wire ◽  
Wheel Torque ◽  
Wire System

Steer-by-wire system can improve the performance of vehicle handling stability. Removing the mechanical linkages between the front wheels and the steering wheel leads to a key technique of force feedback for steer-by-wire system. In view of the characteristic of variable torque transmission ratio for steer-by-wire system, this paper proposes a method for designing torque ratio based on the steering wheel torque characteristic for steer-by-wire system. It converts the torque ratio design into equivalent assist torque design by analyzing their relationship. It achieves the torque ratio design at different conditions based on the negative equivalent assist torque characteristic curve. Simulations and vehicle experiments are conducted by the proposed method, and the results show that the design goal has been achieved and the steering wheel torque characteristic obtained is very similar to that of the reference car.

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