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.

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.

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.

A Novel Control Algorithm of Electronic Braking System for Trucks

2013 ◽  
Vol 694-697 ◽  
pp. 2106-2109
Author(s):  
Li Mai ◽  
Li Ya Wang ◽  
Pei Wen Mi ◽  
Sheng Nan Yang
Keyword(s):  
Control Algorithm ◽  
Rear Axle ◽  
Force Distribution ◽  
Vehicle Dynamic ◽  
Braking Performance ◽  
Emergency Braking ◽  
Braking System ◽  
Braking Force ◽  
Brake Wear ◽  
Vehicle Dynamic Model

Electronic Braking System (EBS) can improve the braking performance of trucks significantly. A novel control algorithm for EBS has been proposed in this paper, which consists of Driving Identification Module and Braking Force Distribution Module. Driving Identification Module can recognize the non-emergency braking situation according to the signal of the electronic braking pedal. Braking Force Distribution Module regulates the braking force on front and rear axle by comparing the slip-ratios on every axle. As a result, the optimum braking pressure on different axles can enhance the safety and balance the brake wear. The performance of the control algorithm has been simulated utilizing 15-DOF vehicle dynamic model. The results show that the control algorithm can provide a good braking feeling and the braking performance of the vehicle is perfect.

Influence of braking on dynamic stability of car-trailer combinations

2020 ◽  
pp. 095440702095989
Author(s):  
Ning Zhang ◽  
Jian-hua Wu ◽  
Tian Li ◽  
Zi-qian Zhao ◽  
Guo-dong Yin
Keyword(s):  
Dynamic Stability ◽  
Load Transfer ◽  
Great Influence ◽  
Stability Control ◽  
System Dynamic ◽  
Force Distribution ◽  
Single Track ◽  
Two Factors ◽  
Braking Force ◽  
The Ideal

The influence of braking on dynamic stability of a car-trailer combination (CTC) is studied in this paper. The braking is simply modeled and integrated into a single-track model (STM) with a single-axle trailer. On this basis, some fundamentals and analysis results related to system dynamic stability are given through simulation. Furthermore, it is found that the axle load transfer and braking force distribution have a great influence on system dynamic stability. In order to further analyze the influence of these two factors, both of the braking force distribution and the pitch motion are considered in the modeling. Finally, the ideal braking force distribution domain is proposed. Results can be adopted to explain the experimental phenomenon and serve as a guideline for the differential braking strategy in stability control of the CTC.

THE IDEAL BRAKE FORCE DISTRIBUTION BETWEEN THE AXLES-AXLE VEHICLE WHEN THE SERVICE BRAKE APPLICATIONS

2015 ◽  
Vol 2 (2) ◽  
pp. 725-731
Author(s):  
Туренко ◽  
A. Turenko ◽  
Коробко ◽  
A. Korobko ◽  
Подригало ◽  
...  
Keyword(s):  
Front Axle ◽  
Evaluation Criterion ◽  
Force Distribution ◽  
Brake Force ◽  
Braking Force ◽  
Brake Force Distribution ◽  
Utility Vehicle ◽  
The Ideal

The article defines the ideal distribution of brake forces between the axles of two-axle utility vehicle when braking. As an evaluation criterion of the selected indicator was the coefficient of stability. It is established that with increase of deceleration of the vehicle axle when the service brake applications, the braking force at the front axle decreases

Application of Neural Network Based on Genetic Algorithm to Predict Hypotension Events during Spinal Anesthesia

2012 ◽  
Vol 542-543 ◽  
pp. 1394-1397
Author(s):  
Yu Qiu ◽  
Hai Jun Dai
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Global Optimization ◽  
General Anesthesia ◽  
Bp Neural Network ◽  
Simulation Experiment ◽  
Optimal Parameters ◽  
Accuracy Requirement ◽  
Artificial Neural Network Ann

An accurate and efficient artificial neural network (ANN) based genetic algorithm (GA) is presented for predicting hypotension during general anesthesia. The genetic algorithm global optimization characteristics are used to optimize the BP neural network weights, and learning samples are trained and modeled by BP neural network with optimal parameters. The simulation experiment is carried out with MATLAB. The result indicated that the model forecasting results are close with the actual results and meet the accuracy requirement to General Anesthesia.

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