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.

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.

scholarly journals An Innovative Design of Decoupled Regenerative Braking System for Electric City Bus Based on Chinese Typical Urban Driving Cycle

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yanfeng Xiong ◽  
Qiang Yu ◽  
Shengyu Yan ◽  
Xiaodong Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Strategy ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
City Bus ◽  
Braking System ◽  
Recovery System ◽  
Braking Energy Recovery

This paper proposes a novel decoupled approach of a regenerative braking system for an electric city bus, aiming at improving the utilization of the kinetic energy for rear axle during a braking process. Three contributions are added to distinguish from the previous research. Firstly, an energy-flow model of the electric bus is established to identify the characteristic parameters which affect the energy-saving efficiency of the vehicle, while the key parameters (e.g., driving cycles and the recovery rate of braking energy) are also analyzed. Secondly, a decoupled braking energy recovery scheme together with the control strategy is developed based on the characteristics of the power assistance for electric city bus which equips an air braking system, as well as the regulatory requirements of ECE R13. At last, the energy consumption of the electric city bus is analyzed by both the simulation and vehicle tests, when the superimposed and the decoupled regenerative braking system are, respectively, employed for the vehicle. The simulation and actual road test results show that compared with the superposition braking system of the basic vehicle, the decoupled braking energy recovery system after the reform can improve the braking energy recovery rate and vehicle energy-saving degree. The decoupled energy recovery system scheme and control strategy proposed in this paper can be adopted by bus factories to reduce the energy consumption of pure-electric buses.

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.

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.

scholarly journals Hierarchical Control Strategy for the Cooperative Braking System of Electric Vehicle

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jiankun Peng ◽  
Hongwen He ◽  
Wei Liu ◽  
Hongqiang Guo
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Control Strategies ◽  
Hierarchical Control ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Braking System ◽  
Braking Torque ◽  
Braking Energy Recovery

This paper provides a hierarchical control strategy for cooperative braking system of an electric vehicle with separated driven axles. Two layers are defined: the top layer is used to optimize the braking stability based on two sliding mode control strategies, namely, the interaxle control mode and signal-axle control strategies; the interaxle control strategy generates the ideal braking force distribution in general braking condition, and the single-axle control strategy can ensure braking safety in emergency braking condition; the bottom layer is used to maximize the regenerative braking energy recovery efficiency with a reallocated braking torque strategy; the reallocated braking torque strategy can recovery braking energy as much as possible in the premise of meeting battery charging power. The simulation results show that the proposed hierarchical control strategy is reasonable and can adapt to different typical road surfaces and load cases; the vehicle braking stability and safety can be guaranteed; furthermore, the regenerative braking energy recovery efficiency can be improved.

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.

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 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.

Analysis of Influence Factors on Braking Energy Recovery of Pure Electric Vehicle

2014 ◽  
Vol 494-495 ◽  
pp. 214-218
Author(s):  
Jian Wei Cai ◽  
Liang Chu ◽  
Wen Ruo Wei ◽  
Yong Sheng Zhang ◽  
Wen Hui Li
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Control Strategies ◽  
Influence Factors ◽  
Regenerative Braking ◽  
Braking System ◽  
Vehicle Mass ◽  
Braking Control ◽  
Braking Energy Recovery ◽  
Main Influence

Based on the analysis the theoretical of regenerative braking and energy flow of the pure electric vehicle, the main influence factors of braking energy recovery were obtained. Ignoring the energy loss and the efficiency of system components as well as the response delay of the hydraulic braking system, two different regenerative braking control strategies were established without regard to the braking force distribution restrictions of the relevant brake laws. The simulation model was built on MATLAB/Simulink platform to analysis the effect of control strategies, vehicle mass and driving cycle for pure electric vehicle braking energy recovery. It was guidance for the development of pure electric vehicle braking energy recovery control strategy.

Simulation of a Regenerative Braking System Producing Controlled Braking Force

2011 ◽  
Vol 383-390 ◽  
pp. 5729-5737
Author(s):  
Jiang Hong ◽  
De Wang Zhang ◽  
Guang Pin Wang ◽  
Ni Sui
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Operating Mode ◽  
Regenerative Braking ◽  
Super Capacitor ◽  
Braking System ◽  
Driving Range ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

The pure electric vehicles (PEV) research is mainly focus on regenerative braking. How to improve the efficiency of battery power utilization and increase vehicles’ driving range is a crucial problem. Based on the analysis of braking feeling, super capacitor characteristics and the efficiency of regenerative braking energy recovery, the control strategy of regenerative braking system is firstly established, which has two objective functions. One is to control the regenerative braking force. The other is to improve the recovery efficiency of regenerative braking energy. Then, the main operating mode of regenerative braking system is presented. On this basis, regenerative braking controller that is based on DC-DC controller is designed and implemented in simulink software. The results show that the regenerative braking control strategy can effectively control the regenerative braking force during braking and increase driving range of electric vehicles

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