Pressure-tracking control of a novel electro-hydraulic braking system considering friction compensation

Yong, Jia-Wang; Gao, Feng; Ding, Ning; He, Yuping

doi:10.1007/s11771-017-3598-2

Cited by 24 publications

(11 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given that the pneumatic braking system exhibits a slow response speed and inferior sensitivity when compared with the hydraulic braking system, the pneumatic braking force always exhibits a considerable amount of hysteresis with the desired braking force. [30,31] Hence, the braking efficiency and driver's braking sense are significantly affected. [32] As shown in Figure 8a, when the electropneumatic braking system starts to work, the actual braking torque rises along the OAKC curve, whereas the desired brake torque increases along the curve OABC.…”

Section: Compensation Strategy Of the Electropneumatic Braking Systemmentioning

confidence: 99%

Control Strategy of Braking Energy Recovery for Range‐Extended Electric Commercial Vehicles by Considering Braking Intention Recognition and Electropneumatic Braking Compensation

Zhao

Yang

et al. 2020

Energy Tech

View full text Add to dashboard Cite

Braking energy recovery is a key technology for improving energy efficiency and extending the driving range of electric vehicles. However, there are challenges for maximizing energy recovery and improving braking sense. To solve these problems, a hierarchical control strategy of braking energy recovery that considers braking intention recognition and electropneumatic braking compensation is proposed herein. For the upper controller, Layer Hidden Markov Model‐Dynamic Compensatory Fuzzy Neural Network is applied to recognize the driver's braking intention. For the medium controller, a braking force predistribution strategy based on braking intention recognition results is designed. For the lower controller, an electropneumatic braking compensation method is used to reduce the adverse effects due to the composite braking system. Subsequently, vehicle tests in single‐braking conditions and hardware in loop (HIL) simulation in the World Transient Vehicle Cycle (C‐WTVC) are conducted to verify the performance of the control strategy. The results indicate that the proposed control strategy optimizes the braking force in all the tests and simulations, and the energy recovery rate reaches 12.75% in C‐WTVC, thereby surpassing that of the other three control strategies. Therefore, the results of the study indicate an improvement in the economic performance and ride comfort of electric vehicles.

show abstract

Section: Compensation Strategy Of the Electropneumatic Braking Systemmentioning

confidence: 99%

Control Strategy of Braking Energy Recovery for Range‐Extended Electric Commercial Vehicles by Considering Braking Intention Recognition and Electropneumatic Braking Compensation

Zhao

Yang

et al. 2020

Energy Tech

View full text Add to dashboard Cite

show abstract

“…Hydraulic valve switching characteristics and linear control, ABS cascade brake hydraulic valve control method [20]- [24]. A control method for braking system friction modeling and friction compensation to improve braking accuracy [25], [26]. The braking method of operation parameter optimization, which is influenced by dynamic change of load, loss of battery and motor, brake sensation adjustment and other factors [27]- [31].…”

Section: Core Components and Key Technologies Of Brake-by-wire Symentioning

confidence: 99%

A Survey of Brake-by-Wire System for Intelligent Connected Electric Vehicles

et al. 2020

View full text Add to dashboard Cite

Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global automotive industry to make transportation safer, cleaner and more comfortable. As an important component of intelligent connected EVs, the brake-by-wire (BBW) system is the key to determining the performance of the vehicle and the efficiency of braking energy recovery. BBW systems are showing great promise in the area of vehicle braking due to the increasing requirements on safety and energy efficiency of vehicles. In recent years, BBW systems have undergone great changes in terms of structure and control methods, not only increasing safety and energy recovery efficiency, but also integrating more functions. Although important advancements have been achieved in this field, these works have not been fully summarised. This paper surveys and summarizes the research in literature to bring topical information to the field of intelligent transportation systems. The objective of this study is to present an overview of both the development trend and key technologies of the BBW system for intelligent connected EVs. Firstly, the development, structure and core components of BBW system are described. Secondly, the control method and control strategy of BBW system are analyzed. As much as the system shows great promise, the problems existing on its current technology should be addressed as well. Finally, some important countermeasures are proposed to solve the existing technical problems of the BBW system.

show abstract

“…Therefore, the precise measurement of the braking pressure by means of a pressure sensor and the estimation of this pressure is very important to characterise the braking performance of a vehicle. There is a multitude of research based on braking pressure observation methods [15][16][17][18][19]. In Reference [20], a recursive least square algorithm for brake cylinder pressure estimation was proposed to provide useful information to ABS.…”

Section: Introductionmentioning

confidence: 99%

Design of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicle

Garrosa

Olmeda

Díaz

et al. 2022

Sensors

View full text Add to dashboard Cite

Automatic systems are increasingly being applied in the automotive industry to improve driving safety and passenger comfort, reduce traffic and increase energy efficiency. The objective of this work is focused on improving the automatic brake assistance systems of motor vehicles trying to imitate human behaviour but correcting possible human errors such as distractions, lack of visibility or time reaction. The proposed system can optimise the intensity of the braking according to the available distance to carry out the manoeuvre and the vehicle speed to be as less aggressive as possible, thus giving priority to the comfort of the driver. A series of tests are carried out in this work with a vehicle instrumented with sensors that provide real-time information about the braking system. The data obtained experimentally during the dynamic tests are used to design an estimator using the Artificial Neural Network (ANN) technique. This information makes it possible to characterise all braking situations based on the pressure of the brake circuit, the type of manoeuvre and the test speed. Thanks to this ANN, it is possible to estimate the requirements of the braking system in real driving situations and carry out the manoeuvres automatically. Experiments and simulations verified the proposed method for the estimation of braking pressure in real deceleration scenarios.

show abstract

Pressure-tracking control of a novel electro-hydraulic braking system considering friction compensation

Cited by 24 publications

References 17 publications

Control Strategy of Braking Energy Recovery for Range‐Extended Electric Commercial Vehicles by Considering Braking Intention Recognition and Electropneumatic Braking Compensation

Control Strategy of Braking Energy Recovery for Range‐Extended Electric Commercial Vehicles by Considering Braking Intention Recognition and Electropneumatic Braking Compensation

A Survey of Brake-by-Wire System for Intelligent Connected Electric Vehicles

Design of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicle

Contact Info

Product

Resources

About