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.

Optimization of Regenerative Braking Control Strategy for Pure Electric Vehicle

2017 ◽  
Vol 872 ◽  
pp. 331-336 ◽  
Author(s):  
Zhi Jun Guo ◽  
Dong Dong Yue ◽  
Jing Bo Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Pso Algorithm ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Constraint Optimization ◽  
Vehicle Model ◽  
Braking Torque ◽  
Braking Control

The regenerative braking strategy for precursor pure electric vehicle was studied in this paper. Firstly, a constraint optimization model was established for the braking force distribution, in which both braking stability and recovery efficiency of braking energy were taken into account. Secondly, Particle Swarm Optimization (PSO) algorithm was applied to optimize the multi key parameters in the model. Finally, the optimized braking torque of the motor was obtained at different speed, different braking strength and different battery charge state. A vehicle model was built to validate the optimized results through simulation. The results showed that, compared with the original control strategy, the optimized control strategy not only could increase the braking stability effectively, but also improve the energy recovery efficiency in a certain extent.

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.

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.

Analysis of Hydraulic Regenerative Braking System for Electric Vehicle

2012 ◽  
Vol 490-495 ◽  
pp. 195-202 ◽  
Author(s):  
Xiao Bing Ning ◽  
Yao Ting Xu ◽  
Qiu Cheng Wang ◽  
Jue Jiang Chen
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Energy Recovery ◽  
Dynamic Performance ◽  
Regenerative Braking ◽  
Energy Recovery System ◽  
Braking System ◽  
Recovery System ◽  
Driving Range ◽  
Braking Energy Recovery

In order to increase the regenerative braking energy recovery and the dynamic performance of vehicle start and acceleration in the stage of brake, the hydraulic braking energy recovery system was used with the storage battery braking energy recovery system after comparing kinds of regenerative braking recovery plan and energy storage method. The system was used to do simulation and analysis in vehicle dynamic performance and energy recovery efficiency under the PID control and ECE-15 cycle. The system simulation and analysis results show that using hydraulic regenerative braking system in pure electric vehicle can significantly improve the ability of vehicle’s start-acceleration and the increase in vehicle driving range of around 28%.

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 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.

Control Strategy and Deterministic Optimization Research for Parallel Compound Braking System

2015 ◽  
Vol 789-790 ◽  
pp. 878-882
Author(s):  
Bing Lu ◽  
Hong Wen He ◽  
Qun Ce Wang
Keyword(s):  
Prediction Model ◽  
Design Of Experiment ◽  
Control Strategy ◽  
Energy Recovery ◽  
Control Algorithm ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Deterministic Optimization ◽  
Braking System

Through the design way of reducing dimension, a control algorithm of the parallel compound braking is put forwarded. The flow of reducing dimension is designed, the sampling which is based on the Design of Experiment (DOE) and off-line deterministic optimization are accomplished. The reducing dimension of dual-motor coordinate coefficient is designed and the prediction model of parallel compound braking is constructed, which are based on the data of deterministic optimization. The analysis of reliability shows that the algorithm has a higher reliability and the energy recovery efficiency of the vehicle regenerative braking is improved under the condition of well braking stability.

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.

On the Study of Electric Vehicle Regenerative Braking

2010 ◽  
Vol 33 ◽  
pp. 273-275
Author(s):  
Zhao Lin Han ◽  
Yang Yang Wang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Braking System ◽  
Brake Energy Recovery ◽  
Brake Force ◽  
And Control

Based on the importance of regenerative braking system (RBS) to EV’s sustained travel mileage and prolonging life of mechanical brake. This paper introduces the characteristic and principle of regenerative braking system, at the same time analyses regenerative braking pattern and brake energy recovery, emphasize on the distribution of brake force. At last, this paper provides good base for developing specific regenerative braking system and control strategy.

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.

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