A Braking Force Distribution Strategy in Integrated Braking System Based on Wear Control and Hitch Force Control

2018 ◽  
Author(s):  
Hongyu Zheng ◽  
Chen Liu ◽  
Linlin Wang
Keyword(s):  
Force Control ◽  
Force Distribution ◽  
Distribution Strategy ◽  
Braking System ◽  
Braking Force

Study on Braking Force Distribution Strategy for a Hydraulic Regenerative Braking System

2014 ◽  
Vol 543-547 ◽  
pp. 1529-1532 ◽  
Author(s):  
Yu Ting Huang ◽  
Liang Chu ◽  
Yi Yang ◽  
Shi Tong Zhang
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Working Condition ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Matlab Simulink ◽  
Distribution Strategy ◽  
Braking System ◽  
Braking Force

This paper is based on a type of hybrid electric vehicles regenerative braking system. The target is to reduce the fuel consumption and improve the energy recovering rate. In this paper,a new braking force distribution strategy that based on two kinds of working condition will be studied. And it will be validated in MATLAB/Simulink and CRUISE.

Intelligent optimization of EV comfort based on a cooperative braking system

2021 ◽  
pp. 095440702110044
Author(s):  
Lingying Zhao ◽  
Min Ye ◽  
Xinxin Xu
Keyword(s):  
System Model ◽  
Regenerative Braking ◽  
Coupling Mechanism ◽  
Intelligent Algorithm ◽  
Distribution Strategy ◽  
Braking System ◽  
Logic Diagram ◽  
Braking Torque ◽  
Braking Force ◽  
The Time Domain

To address the comfort of an electric vehicle, a coupling mechanism between mechanical friction braking and electric regenerative braking was studied. A cooperative braking system model was established, and comprehensive simulations and system optimizations were carried out. The performance of the cooperative braking system was analyzed. The distribution of the braking force was optimized by an intelligent method, and the distribution of a braking force logic diagram based on comfort was proposed. Using an intelligent algorithm, the braking force was distributed between the two braking systems and between the driving and driven axles. The experiment based on comfort was carried out. The results show that comfort after optimization is improved by 76.29% compared with that before optimization by comparing RMS value in the time domain. The reason is that the braking force distribution strategy based on the optimization takes into account the driver’s braking demand, the maximum braking torque of the motor, and the requirements of vehicle comfort, and makes full use of the braking torque of the motor. The error between simulation results and experimental results is 5.13%, which indicates that the braking force’s distribution strategy is feasible.

Research on Electro-Mechanical Braking System Control of EV Based on Maximum Energy Recovery Strategy

2015 ◽  
Vol 740 ◽  
pp. 196-200
Author(s):  
Qing Nian Wang ◽  
Shi Xin Song ◽  
Shao Kun Li ◽  
Wei Chen Zhao ◽  
Feng Xiao
Keyword(s):  
Control Strategy ◽  
Influence Factors ◽  
Maximum Energy ◽  
Regenerative Braking ◽  
Force Distribution ◽  
System Control ◽  
Braking System ◽  
Power Battery ◽  
Braking Force ◽  
The Ideal

With the analysis of influence factors on regenerative braking in electro-mechanical braking system, and considering the power battery charging characteristics, a regenerative braking system control strategy for electric vehicle is researched in this paper. The models of the motor and the whole vehicle are built in AMESim. The control effects and the braking force distribution on front and rear wheels of the control strategy in an FTP-72 driving cycle are simulated and analyzed. The simulation results show that the control strategy could be utilized in the 4WD electric vehicles. The ideal braking force distribution on front and rear wheels and the high amount of recovery energy could be achieved.

Light Truck Braking System Match and Optimization

2012 ◽  
Vol 548 ◽  
pp. 662-666
Author(s):  
Ke Gang Zhao ◽  
Yong Liang Hu
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Rear Axle ◽  
Force Distribution ◽  
Optimal Parameters ◽  
Light Truck ◽  
Braking System ◽  
Braking Force ◽  
Automotive Brake ◽  
The Ideal

In order to make the front and rear axle braking force close to the ideal braking force distribution curves, this paper presents a new idea about the design of automotive brake systems. Firstly, the paper has studied the mathematical conversion relationship from the coordinate of utilization adhesion coefficient and braking strength to the coordinate of the front and rear axle braking force. On this basis, the optimal parameters and constraints complying with ECE regulation are determined. And the optimization objective is the degree of deviation between the curve of actual braking force distribution and the curve of the ideal braking force distribution. Taking a light truck for example, genetic algorithm is used to optimize the vehicle front-rear braking force distribution in the platform of MATLAB. Finally, it is proved that the result of global optimization can meet the design goals.

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