Research on Simulation of Electronic-Controlled Pneumatic Regenerative Braking System

2013 ◽  
Vol 278-280 ◽  
pp. 360-364
Author(s):  
Jun Wang ◽  
Jian Huang ◽  
Zhi Quan Qi
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
High Speed ◽  
Regenerative Braking ◽  
Braking System ◽  
Electric Bus ◽  
New Type ◽  
Braking Force ◽  
Braking Control ◽  
Braking Process

In order to improve braking stability and energy recovery ability of electric buses, a new-type electronic-controlled pneumatic regenerative braking system for electric buses was designed. The regenerative braking system controls pneumatic braking force of front and rear wheels by high-speed solenoid valves, which could coordinate mechanical and regenerative braking force effectively. A simulation model of electric bus braking process was established, as well as regenerative braking control strategy. Simulink and AMESim joint simulation analysis of braking process of electric bus was run. The results show that energy recovery of the new-type regenerative braking system is effective and braking control strategy is reasonable.

Development of Parallel Regenerative Braking Controller

2011 ◽  
Vol 219-220 ◽  
pp. 1161-1164
Author(s):  
Jing Ming Zhang ◽  
Wei Nan Du ◽  
Xiu Hu Wang
Keyword(s):  
Energy Efficiency ◽  
Control Strategy ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Hardware In The Loop ◽  
Braking System ◽  
Driving Condition ◽  
Braking Force ◽  
Braking Control

In order to improve hybrid electric vehicle’s energy efficiency, this paper did a research on the regenerative braking system of HEV. In this paper we proposed a new parallel regenerative braking control strategy for HEV and analyzed its characteristics in details. Based on theoretical analysis, we developed a parallel regenerative braking controller for a certain HEV, and built hardware-in-the-loop simulation system to test the controller’s performance. We chose the UDDS driving condition for simulation, and the result shows that the regenerative braking controller we developed is effective and reliable. The controller fulfills the parallel regenerative braking control strategy and distributes the braking force accurately. The energy recovery efficiency reaches 16.7%, which significantly improves the vehicle’s energy efficiency.

Study of Regenerative Braking Model and Simulation of a Car

2012 ◽  
Vol 605-607 ◽  
pp. 384-387
Author(s):  
Feng Wang ◽  
Yong Hai Wu
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Braking System ◽  
Driving Cycles ◽  
Hybrid Car ◽  
Model And Simulation ◽  
Braking Force ◽  
Braking Control ◽  
Automotive Brake

A regenerative braking control strategy and the braking force distribution are putted forward based on the basic theory of automotive brake. The model of vehicle regenerative braking system and simulation under urban driving cycles are carried out taking a certain type of hybrid car as the research object. The simulation results show that, in circulation conditions of ECE + EUDC drive, the regenerative braking control strategy that this paper puts forward can ensure the reasonable distribution of vehicle braking force and realize the energy recovery of 15.7%.

scholarly journals Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987776 ◽  
Author(s):  
Shengqin Li ◽  
Bo Yu ◽  
Xinyuan Feng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
State Of Charge ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Battery State Of Charge ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

Electric vehicles can convert the kinetic energy of the vehicle into electric energy for recycling. A reasonable braking force distribution strategy is the key to ensure braking stability and the energy recovery rate. For an electric vehicle, based on the ECE regulation curve and ideal braking force distribution (I curve), the braking force distribution strategy of the front and rear axles is designed to study the braking energy recovery control strategy. The fuzzy control method is adopted while the charging power limit of the battery is considered to correct the regenerative braking torque of the motor, the ratio of the regenerative braking force of the motor to the front axle braking force is designed according to different braking strengths, then the braking force distribution and braking energy recovery control strategies for regenerative braking and friction braking are developed. The simulation model of combined vehicle and energy recovery control strategy is established by Simulink and Cruise software. The braking energy recovery control strategy of this article is verified under different braking conditions and New European Driving Cycle conditions. The results show that the control strategy proposed in this article meets the requirements of braking stability. Under the condition of initial state of charge of 75%, the variation of state of charge of braking control strategy in this article is reduced by 8.22%, and the state of charge of braking strategy based on I curve reduces by 9.12%. The braking force distribution curves of the front and rear axle are in line with the braking characteristics, can effectively recover the braking energy, and improve the battery state of charge. Taking the using range of 95%–5% of battery state of charge as calculation target, the cruising range of vehicle with braking control strategy of this article increases to 136.64 km, which showed that the braking control strategy in this article could increase the cruising range of the electric vehicle.

Study on Regenerative Braking Control Strategy for EV Based on the Vehicle Braking Mechanics

2012 ◽  
Vol 490-495 ◽  
pp. 1783-1787
Author(s):  
Guan Feng Li ◽  
Hong Xia Wang
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force ◽  
Braking Control ◽  
Output Characteristics ◽  
Braking Energy Recovery

In order to improve the recovery of braking energy in electric vehicles, a braking force distribution control strategy is proposed which the braking force proportion of the front and rear wheels are distributed according to the brake strength, by analyzing the vehicle braking mechanics and related braking regulation, and combining with the motor output characteristics. A simulation is carried out with SIMULINK/ADVISOR, the results show that, comparing with ADVISOR braking force distribution control strategy, the control strategy not only meets braking stability well，but also there are obvious advantages in energy consumption per 100 kilometers，the rate of braking energy recovery and utilization.

Modeling and Simulation of Electro-Hydraulic Compound Regenerative Braking Control Strategy for Electric Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 733-738
Author(s):  
Chen Lu Kong ◽  
Mao Song Wan ◽  
Ning Chen ◽  
Li Ya Lv ◽  
Bing Lin Li
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
Simulation Software ◽  
Regenerative Braking ◽  
Dynamic Distribution ◽  
Braking System ◽  
Braking Control ◽  
Friction Braking System ◽  
Braking Energy Recovery ◽  
Better Than

This paper mainly discusses the dynamic distribution of regenerative braking system and conventional friction braking system of EV.In order to meet the requirements of vehicle braking stability and recycle the braking energy whenever possible, the paper proposes a control strategy which based on ECE regulation and I curve.Then the proposed control strategy is embedded into the simulation software ADVISOR.The result shows that the control strategy of regenerative braking the paper presented is better than ADVISOR’s own on braking energy recovery, and is especially suitable for frequent braking city conditions.

Research on the Braking System Control Strategy of Hybrid Electronic Bus

2011 ◽  
Vol 148-149 ◽  
pp. 1231-1235
Author(s):  
Ji Shun Liu ◽  
Jun Li ◽  
Yong Sheng Zhang ◽  
Liang Chu ◽  
Liang Yao
Keyword(s):  
Control Strategy ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Regenerative Braking ◽  
System Control ◽  
Vehicle Speed ◽  
Braking System ◽  
Execution Unit ◽  
Braking Force ◽  
Braking Control

As one of the key technologies of Hybrid Electronic Bus, regenerative braking technology can recover energy without changing the traditional bus braking habit. This is of vital importance in the research of regenerative braking system. Because the braking force distribution relationship between the front and rear axle of the vehicle has a remarkable influence in the braking stability,especially adding the regenerative braking force, the influence is even larger. So the anti-lock braking control strategy for the hybrid electronic vehicle is updated in this paper according to the condition of regenerative braking. The anti-lock braking control and regenerative braking control were integrated in one ECU (Electronic Control Unit) of braking control system, collecting signals of wheel rotate speed, vehicle speed, SOC and brake pedal position by CAN bus. And the output control commands are sent to the execution unit of anti-lock braking system and regenerative braking system. The effectiveness of energy regeneration and the braking stability of this strategy are tested on the off-line simulation platform.

A Study on Regenerative Braking Control Strategy for an Extended-Range Electric Vehicle

2014 ◽  
Vol 602-605 ◽  
pp. 1122-1126
Author(s):  
Ji Gao Niu ◽  
Chun Hua Xu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
High Efficiency ◽  
Regenerative Braking ◽  
Extended Range ◽  
Braking Force ◽  
Braking Control ◽  
Set Up ◽  
Hybrid Motor

In order to further improve the baking energy recovery rate of extended-range electric vehicle (E-REV), thus to extend driving distance, a high efficiency regenerative braking control strategy for E-REV was proposed. Based on the co-simulation platform with AVL-Cruise and Simulink, a dynamic model for E-REV was set up and simulation calculations on hybrid motor-mechanical regenerative braking were performed. The simulation results with typical driving cycles illustrate that the friction braking force and the regenerative braking force could be well integrated, braking energy recovery efficiency was high, and the proposed control strategy of regenerative braking in the paper is effective.

Research of Electric Vehicle Regenerative Braking Control Strategy Based on EHB System

2013 ◽  
Vol 724-725 ◽  
pp. 1436-1439
Author(s):  
Hong Yu Zheng ◽  
Rong He ◽  
Chang Fu Zong
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Rear Axle ◽  
Regenerative Braking ◽  
Distribution Method ◽  
Braking Force ◽  
Braking Control ◽  
Recovery Simulation ◽  
Braking Energy Recovery

In accordance with ECE-R-13 braking regulations limit line, a regenerative braking control strategy is proposed to improve the braking energy recovery. Based on a Electric Vehicle, the braking distribution method makes the front and rear axle braking force arbitrarily distributed which is more effective to improve the rate of energy recovery. Simulation results show that this braking force distribution method focuses on making the braking force distribute to the drive shaft to a maximum extent and can decrease the vehicle fuel consumption.

scholarly journals Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2202
Author(s):  
Cong Geng ◽  
Dawen Ning ◽  
Linfu Guo ◽  
Qicheng Xue ◽  
Shujian Mei
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Front Axle ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

This paper proposes a double layered multi parameters braking energy recovery control strategy for Hybrid Electric Vehicle, which can combine the mechanical brake system with the motor brake system in the braking process to achieve higher energy utilization efficiency and at the same time ensure that the vehicle has sufficient braking performance and safety performance. The first layer of the control strategy proposed in this paper aims to improve the braking force distribution coefficient of the front axle. On the basis of following the principle of braking force distribution, the braking force of the front axle and the rear axle is reasonably distributed according to the braking strength. The second layer is to obtain the proportional coefficient of regenerative braking, considering the influence of vehicle speed, braking strength, and power battery state of charge (SOC) on the front axle mechanical braking force and motor braking force distribution, and a three-input single-output fuzzy controller is designed to realize the coordinated control of mechanical braking force and motor braking force of the front axle. Finally, the AMESim and Matlab/Simulink co-simulation model was built; the braking energy recovery control strategy proposed in this paper was simulated and analyzed based on standard cycle conditions (the NEDC and WLTC), and the simulation results were compared with regenerative braking control strategies A and B. The research results show that the braking energy recovery rate of the proposed control strategy is respectively 2.42%, 18.08% and 2.56%, 16.91% higher than that of the control strategies A and B, which significantly improves the energy recovery efficiency of the vehicle.

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