A Slip-Rate-Based Braking Force Distribution Algorithm for the Electronic Braking System of Combination Vehicle

2014 ◽  
Author(s):  
Linlin Wang ◽  
Hongyu Zheng
Keyword(s):  
Slip Rate ◽  
Force Distribution ◽  
Braking System ◽  
Braking Force

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.

Study on Mechanical Braking System Development Method and Validation for Electric Vehicles

2013 ◽  
Vol 397-400 ◽  
pp. 1407-1417
Author(s):  
Xiao Ming Huang ◽  
Guo Bao Ning
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Rear Axle ◽  
System Development ◽  
Hybrid Vehicles ◽  
Force Distribution ◽  
Development Method ◽  
Braking System ◽  
Braking Force ◽  
Development Methods

A set of mechanical braking system matching and development method for hybrid vehicles is established with the reference of mechanical braking system development method for traditional vehicles. The control strategy and development method, which based on braking force distribution between front and rear axle, enable the recycle of energy as well as good brake efficiency. Finally, the development methods, which based on brake efficiency and braking regulations, has been analyzed and verified through parameter model.

Vehicle braking force distribution with electronic pneumatic braking and hierarchical structure for commercial vehicle

2018 ◽  
Vol 232 (4) ◽  
pp. 481-493 ◽  
Author(s):  
Hongyu Zheng ◽  
Shenao Ma ◽  
Yahui Liu
Keyword(s):  
Hierarchical Structure ◽  
Commercial Vehicle ◽  
Control Method ◽  
Estimation Method ◽  
Least Square ◽  
Linear Matrix ◽  
Force Distribution ◽  
Brake Pedal ◽  
Braking System ◽  
Braking Force

Brake by wire that allows a number of braking functions exists on commercial vehicles under the name electronic pneumatic braking system, which can improve braking comfort and safety of commercial vehicle. The design of braking force distribution control method has drawn much more attention. Considering structure characteristics of electronic pneumatic braking system, a control method with a three-layer hierarchical structure is proposed. The first layer presents an estimation method towards vehicle mass and centre of gravity combining Kalman filter with recursive least square. The second layer is developed by designing a fixed relationship between the brake pedal displacement and vehicle braking deceleration. A deceleration control method that only uses brake pedal displacement as input is applied to make the vehicle follow the desired deceleration. The third layer includes a braking force distribution control method between the front and rear axles. The vehicle deceleration can be achieved with a smooth axle load transfer process based on linear matrix inequality. In addition, the controllers of wheel slip rate and valve hysteresis compensation are designed to improve control accuracy and efficiency. Utilizing a hardware-in-the-loop simulation test rig of electronic pneumatic braking system, the experiment results show that the control method can improve the braking performance of vehicle.

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.

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