EPS Control Strategy of Commercial Vehicles Considering Adhesion Coefficient

2022 ◽  
pp. 1689-1705
Author(s):  
Yaohua Li ◽  
Jikang Fan ◽  
Jie He ◽  
Youfei Nan ◽  
Qianlong Feng
Keyword(s):  
Control Strategy ◽  
Commercial Vehicles ◽  
Adhesion Coefficient

scholarly journals Novel electric power steering control strategies of commercial vehicles considering adhesion coefficient

2020 ◽  
Vol 12 (12) ◽  
pp. 168781402098305
Author(s):  
Li Yaohua ◽  
Fan Jikang ◽  
He Jie ◽  
Nan Youfei ◽  
Feng Qianlong
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
Driving Safety ◽  
Steering Control ◽  
Commercial Vehicles ◽  
Adhesion Coefficient ◽  
The Road ◽  
Power Steering ◽  
Resistance Torque ◽  
The Relationship

The steering resistance torque of commercial vehicles on low adhesion pavement is greatly reduced. Therefore, while driving on low adhesion pavement, the use of traditional EPS control strategies without considering adhesion coefficient will lead to driver’s road feeling being reduced or even lost, endangering driving safety. In this paper, the relationship between adhesion coefficient and steering resistance torque is researched through theoretical analysis and simulation. Two novel EPS control strategies of commercial vehicles considering adhesion coefficient are designed. The first control strategy calculates assist coefficient through steering resistance torque under different working conditions, and assist coefficient is used to adjust the assist torque on the pavements with different adhesion coefficients. The second control strategy applies a compensation current related to adhesion coefficient on the basis of traditional EPS control strategy to improve the road feeling of low adhesion roads. Finally, a joint simulation model of TruckSim/Simulink is established, the two novel control strategies are simulated and verified. The simulation results show that both the two novel control strategies can improve the road feeling of the driver and improve the driving safety on low-adhesion road while ensuring the steering portability.

A control strategy for efficient slip ratio regulation of a pneumatic brake system for commercial vehicles

2021 ◽  
pp. 095440702110384
Author(s):  
Jayu Kim ◽  
Baeksoon Kwon ◽  
Youngnam Park ◽  
HyunJong Cho ◽  
Kyongsu Yi
Keyword(s):  
Control Strategy ◽  
Control Unit ◽  
Pressure Control ◽  
Torque Control ◽  
Brake System ◽  
Commercial Vehicles ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Brake Pressure ◽  
Antilock Braking System

This paper presents a control strategy for efficient slip ratio regulation of a pneumatic brake system for commercial vehicles. A model-based estimator for brake pressure estimation has been developed. The braking torque applied to the wheel has been computed using the estimated brake pressure for the control of the wheel slip both in braking and traction situations. The vehicle velocity and wheel slip ratio estimation algorithms have been designed using only wheel speed sensors. The proposed slip regulation algorithm has also been successfully implemented for the antilock braking system (ABS) and traction control system (TCS). In ABS, the slip ratio and wheel acceleration are stabilized by a limit cycle control of the braking pressure. The TCS has been implemented by combining engine torque control and pneumatic brake pressure control. The brake controller is based on the valve switched control that incorporates the wheel dynamics and valve on/off characteristics. The ABS and TCS algorithms are integrated into the slip regulation algorithm to reduce the computation load of an Electrical Control Unit (ECU). Four-wheel independent slip monitoring and slip ratio control algorithms have been implemented on the ECU, and their performance has been investigated via both computer simulations and vehicle tests. Both results show that the proposed algorithms enhance the acceleration and braking performance without vehicle acceleration information. Moreover, the proposed split-mu strategy has improved the lateral stability during braking, and the acceleration performance during accelerating on the split-mu road. It has been shown via vehicle tests that, compared to the reference commercial algorithm, the braking distance was reduced by more than 4% on the split-mu and low-mu roads, and the acceleration performance was improved by 7.9% on the split-mu road.

Smooth Friction Control Strategy for DM-Clutch Based Driveline Systems

2014 ◽  
Author(s):  
Xubin Song ◽  
Jason Liu
Keyword(s):  
Control Strategy ◽  
Mechanical Transmission ◽  
Commercial Vehicles ◽  
Friction Forces ◽  
Operational Conditions ◽  
The North ◽  
Damping Control ◽  
Working Principle ◽  
Vehicle Loads ◽  
Vehicle Testing

Centrifugally operated friction clutches, named DM clutch in this paper, had been developed to couple an engine to an inputshaft of a mechanical transmission for commercial vehicles [1]. The DM clutch based AMT (automated mechanical transmission) has been in production from Eaton for more than a decade in the North American commercial vehicle market. Its working principle is to take advantage of the centrifugal force of sliding masses between two clutch plates to complete the transitions among unlock, slipping and lockup. DM clutch is reliable and durable, but not easy to modulate because of involvement of engine speed controls, nonlinear friction forces and variable vehicle loads. One challenging aspect is the occurrence of torsional vibrations during vehicle launches. In this paper, a friction based damping control strategy [2, 3] utilizing the frictional characteristics is shown to control the DM clutch to achieve smoother vehicle launch. The vehicle testing data shows its effectiveness of smoothening the vehicle launches with and without the loaded trailer under different operational conditions.

A Control System for Hill Start Assistance for Commercial Vehicles

2009 ◽  
Author(s):  
Diego Delvecchio ◽  
Sergio M. Savaresi ◽  
Cristiano Spelta ◽  
Simone Dozio ◽  
Leonardo Mandrioli ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Low Complexity ◽  
Control Loop ◽  
Commercial Vehicles ◽  
Torque Transmission ◽  
Parking Brake ◽  
Events Detection ◽  
The Hill ◽  
Vehicle Movement

The topic of this paper is the design and analysis of a control strategy for a hill starting assistance for commercial vehicles equipped with an electric parking brake (EPB). The present hill start assistance system is thought to be installed in a vehicle with manual transmission and it is based on a very simple and low complexity hardware layout. The hill start strategy herein proposed is based on events detection: the detection of the torque transmission from the engine to the wheels and the detection the vehicle movement before the EPB -release. Although all the possible scenarios cannot be tackled, because of the layout constraints and of the presence of the driver in the control loop, the effectiveness of the proposed framework has been experimentally tested.

scholarly journals Stability-Considered Lane Keeping Control of Commercial Vehicles Based on Improved APF Algorithm

2021 ◽  
Author(s):  
Bin Tang ◽  
Zheng-Yi Yang ◽  
Hao-bin Jiang ◽  
Zi-yan Lin ◽  
Zhan-xiang Xu ◽  
...  
Keyword(s):  
Control Strategy ◽  
Potential Field ◽  
Path Tracking ◽  
Lyapunov Theory ◽  
Lateral Acceleration ◽  
Lateral Stability ◽  
Tracking Accuracy ◽  
Commercial Vehicles ◽  
Field Function ◽  
Lane Keeping

Abstract With regard to the lane keeping system, path tracking accuracy and lateral stability at high speeds need to be taken into account especially for commercial vehicles due to the characteristics of larger mass, longer wheelbase and higher mass center. To improve the performance mentioned above comprehensively, the control strategy based on improved artificial potential field (APF) algorithm is proposed. In the paper, time to lane crossing (TLC) is introduced into the potential field function to enhance the accuracy of path tracking, meanwhile the vehicle dynamics parameters including yaw rate and lateral acceleration are chosen as the repulsive force field source. The lane keeping controller based on improved APF algorithm is designed and the stability of the control system is proved based on Lyapunov theory. In addition, adaptive inertial weight particle swarm optimization algorithm (AIWPSO) is applied to optimize the gain of each potential field function. The co-simulation results indicate that the comprehensive evaluation index respecting lane tracking accuracy and lateral stability is reduced remarkably. Finally, the proposed control strategy is verified by the HiL test.

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