Integrative braking control system for electric vehicles

Author(s):  
Liang Chu ◽  
Liang Yao ◽  
Jian Chen ◽  
Libo Chao ◽  
Jianhua Guo ◽  
...  
Actuators ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 84 ◽  
Author(s):  
Chun-Liang Lin ◽  
Hao-Che Hung ◽  
Jia-Cheng Li

Looking at new trends in global policies, electric vehicles (EVs) are expected to increasingly replace gasoline vehicles in the near future. For current electric vehicles, the motor current driving system and the braking control system are two independent issues with separate design. If a self-induced back-EMF voltage from the motor is a short circuit, then short-circuiting the motor will result in braking. The higher the speed of the motor, the stronger the braking effect. However, the effect is deficient quickly once the motor speed drops quickly. Traditional kinetic brake (i.e., in the short circuit is replaced by a resistor) and dynamic brake (the short circuit brake is replaced by a capacitor) rely on the back EMF alone to generate braking toque. The braking torque generated is usually not enough to effectively stop a rotating motor in a short period of time. In this research task, an integrated driving and braking control system is considered for EVs with an active regenerative braking control system where back electromagnetic field (EMF), controlled by the pulse-width modulation (PWM) technique, is used to charge a pump capacitor. The capacitor is used as an extra energy source cascaded with the battery as a charge pump. This is used to boost braking torque to stop the rotating motor in an efficient way while braking. Experiments are conducted to verify the proposed design. Compared to the traditional kinetic brake and dynamic brake, the proposed active regenerative control system shows better braking performance in terms of stopping time and stopping distance.


2013 ◽  
Vol 694-697 ◽  
pp. 73-76 ◽  
Author(s):  
Cong Wang ◽  
Hong Wei Liu ◽  
Liang Yao ◽  
Yan Bo Wang ◽  
Liang Chu ◽  
...  

A brake pedal stroke simulator is a key component of realizing a Regenerative Braking System. It provides a good pedal feeling to a driver, improves energy recovery and ensures braking security. This paper presents the hardware solution of the braking control system, the structure and key design parameters of a brake pedal stroke simulator. Through simulation, the energy recover rate and brake pedal feeling of drivers can be improved. The simulator can be used to realize the regenerative braking system in hybrid or electric vehicles.


2020 ◽  
Author(s):  
Serhii Shuklynov ◽  
Mykhailo Kholodov ◽  
Victor Verbitskiy ◽  
Volodymyr Makarov ◽  
Leonid Ryzhykh

2018 ◽  
Vol 2018 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Chun-Liang Lin ◽  
Meng-Yao Yang ◽  
En-Ping Chen ◽  
Yu-Chan Chen ◽  
Wen-Cheng Yu

2020 ◽  
Vol 16 (11) ◽  
pp. 1826
Author(s):  
Li Zheng ◽  
Yang Jianwei ◽  
Yao Dechen ◽  
Wang Jinhai ◽  
Pang Qicheng

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 220
Author(s):  
Cheng Lin ◽  
Jilei Xing ◽  
Xingming Zhuang

Sensorless control technology of PMSMs is of great importance for safety and reliability in electric vehicles. Among all existing methods, only the extended flux-based method has great performance over all speed range. However, the accuracy and reliability of the extended flux rotor position observer are greatly affected by the dead-time effect. In this paper, the extended flux-based observer is adopted to develop a sensorless control system. The influence of dead-time effect on the observer is analyzed and a dead-time correction method is specially designed to guarantee the reliability of the whole control system. A comparison of estimation precision among the extended flux-based method, the electromotive force (EMF)-based method and the high frequency signal injection method is given by simulations. The performance of the proposed sensorless control system is verified by experiments. The experimental results show that the proposed extended flux-based sensorless control system with dead-time correction has satisfactory performance over full speed range in both loaded and non-loaded situations. The estimation error of rotor speed is within 4% in all working conditions. The dead-time correction method improves the reliability of the control system effectively.


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