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.

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.

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 of a Method for Improving the Anti-Lock Brake System of Electric Vehicle

2012 ◽  
Vol 157-158 ◽  
pp. 542-545 ◽  
Author(s):  
Liang Chu ◽  
Liang Yao ◽  
Zi Liang Zhao ◽  
Wen Ruo Wei ◽  
Yong Sheng Zhang
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Control Algorithm ◽  
System Structure ◽  
Regenerative Braking ◽  
Threshold Control ◽  
Braking System ◽  
Simulink Model ◽  
Braking Force ◽  
The Stability

The Anti-lock Braking System (ABS) of Electric Vehicle (EV) is improved in this paper. Based on the research of system structure and motor, a new method is proposed to adjust the threshold and coordinate the motor braking force with the friction braking force. So the traditional threshold control algorithm of ABS is improved for the EV. The simulation results based on the MATLAB/Simulink model indicate that the improved ABS can keep the wheels in the stability region and decrease the motor regenerative braking force as soon as possible. The balance between brake safety and energy recovery is achieved through this method.

scholarly journals Cooperative Control of Regenerative Braking and Antilock Braking for a Hybrid Electric Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Guodong Yin ◽  
XianJian Jin
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Regenerative Braking ◽  
Braking System ◽  
Antilock Braking System ◽  
Braking Torque ◽  
Antilock Braking ◽  
Hybrid Electric ◽  
Braking Control

A new cooperative braking control strategy (CBCS) is proposed for a parallel hybrid electric vehicle (HEV) with both a regenerative braking system and an antilock braking system (ABS) to achieve improved braking performance and energy regeneration. The braking system of the vehicle is based on a new method of HEV braking torque distribution that makes the antilock braking system work together with the regenerative braking system harmoniously. In the cooperative braking control strategy, a sliding mode controller (SMC) for ABS is designed to maintain the wheel slip within an optimal range by adjusting the hydraulic braking torque continuously; to reduce the chattering in SMC, a boundary-layer method with moderate tuning of a saturation function is also investigated; based on the wheel slip ratio, battery state of charge (SOC), and the motor speed, a fuzzy logic control strategy (FLC) is applied to adjust the regenerative braking torque dynamically. In order to evaluate the performance of the cooperative braking control strategy, the braking system model of a hybrid electric vehicle is built in MATLAB/SIMULINK. It is found from the simulation that the cooperative braking control strategy suggested in this paper provides satisfactory braking performance, passenger comfort, and high regenerative efficiency.

scholarly journals Dynamic Characteristics Analysis of the Hub Direct Drive-Air Suspension System from Vertical and Longitudinal Directions

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zhongxing Li ◽  
Xinyan Song ◽  
Xin Chen ◽  
Hongtao Xue
Keyword(s):  
System Model ◽  
Coupling Mechanism ◽  
Direct Drive ◽  
Damping Coefficients ◽  
Longitudinal Dynamic ◽  
Air Suspension ◽  
Proposed Model ◽  
Characteristics Analysis ◽  
Road Excitation ◽  
The Time Domain

Hub direct-drive electric vehicles are driving with hub motors, which cause negative vibration directly on wheels and suspensions. To better analyze the problems of dynamic deterioration resulted by coupling excitations from random road and unbalanced magnetic pull (UMP), a cooperative hub direct drive-air suspension (HDD-AS) system is developed, and evaluation indices based on vertical and longitudinal dynamic coupling mechanism are proposed. The vertical and longitudinal characteristics in the time domain under different damping coefficients and motor speeds are demonstrated, and comparison between traditional electric wheel and suspension-integrating models and HDD-AS system model is conducted. Then, the responses of random road excitation and UMP are analyzed, and explanations of vertical and longitudinal characteristics in the frequency domain under different damping coefficients are given. These results provide important insights into the influence of coupling excitations and damping coefficient on the HDD-AS system model. Finally, the effectiveness of the proposed model is verified by the experiment on the test bench.

scholarly journals A Control Algorithm for the Novel Regenerative–Mechanical Coupled Brake System with by-Wire Based on Multidisciplinary Design Optimization for an Electric Vehicle

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2322 ◽  
Author(s):  
Changran He ◽  
Guoye Wang ◽  
Zhangpeng Gong ◽  
Zhichao Xing ◽  
Dongxin Xu
Keyword(s):  
Multidisciplinary Design Optimization ◽  
Control Algorithm ◽  
Multidisciplinary Design ◽  
Regenerative Braking ◽  
The Novel ◽  
Control Parameters ◽  
Torque Distribution ◽  
Distribution Strategy ◽  
Braking Torque ◽  
Sample Points

Current regenerative braking systems in electric vehicles have several problems, such as complex structures, too many control parameters, and inconsistent braking responses. To solve these problems, a control algorithm with multidisciplinary design optimization (MDO) is proposed based on the novel regenerative–mechanical coupled brake-by-wire system. A dynamic model of the novel regenerative braking system was established to analyze the mechanism of coupled braking and propose a braking torque distribution strategy. To realize a better balance between the optimum braking stability and the maximum regenerative energy recovery based on the braking torque distribution strategy and sample points, the MDO mathematical model was developed to optimize the control parameters with the collaborative optimization algorithm. The finite sample points comprising the vehicle speed, battery state-of-charge, and braking severity were obtained through an optimal Latin hypercube design and represent the overall design space. A network was established based on the sample points and the optimization results. Using this network, the in-depth characteristics of the sample points and the optimization results were obtained through supervised learning to develop the control algorithm for vehicle braking. A simulation was performed using the normal braking condition, and the simulation results demonstrated that the control algorithm has higher control precision than conventional methods and better real-time performance than online optimization.

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