Identification of Vehicle Mass and Braking Force Distribution Algorithm for Electronic Braking System of Heavy-Duty Vehicle

2014 ◽  
Vol 7 (2) ◽  
pp. 520-523
Author(s):  
Hongyu Zheng ◽  
Linlin Wang
Keyword(s):  
Force Distribution ◽  
Heavy Duty ◽  
Braking System ◽  
Vehicle Mass ◽  
Heavy Duty Vehicle ◽  
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.

Key Factors Effect on Vehicle Braking Performance Based on Nonlinear 3DOF Vehicle Dynamic Model

2010 ◽  
Vol 439-440 ◽  
pp. 950-955 ◽  
Author(s):  
Li Jun Zhang ◽  
Rui Wang
Keyword(s):  
Distribution Coefficient ◽  
Dynamic Model ◽  
Rear Axle ◽  
Force Distribution ◽  
Key Factors ◽  
Braking Performance ◽  
Vehicle Mass ◽  
Moment Distribution ◽  
Braking Torque ◽  
Braking Force

3DOF nonlinear braking dynamic model considering tire-road adhesion characteristics was established, and non-dimensional equations were gained from the above mathematic models by using braking torque coefficient, front and rear axle equivalent inertia coefficients and braking force distribution coefficient. Based on the numerical calculation in Matlab-Simulink software, the effect of key factors, (including vehicle mass and vehicle gravity center position variation, frontal and rear braking force distribution coefficient, and frontal and rear axle inertial variation caused by driven mode) on vehicle braking performance, such as braking distance and wheel lockup status, was investigated and summarized. Several 3D visualizations of the simulation results show that variation of vehicle center of gravity, vehicle mass, braking moment distribution, wheel equivalent inertia due to driveline, can cause quite complex effect. It can be assumed that the gained results in this study can help to improve vehicle braking performance and enhance braking stability.

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