Study on Control Strategy of Regenerative Braking in Electric Vehicles

2011 ◽  
Vol 80-81 ◽  
pp. 812-815
Author(s):  
Zhao Lin Han ◽  
Yang Yang Wang ◽  
Jing Zhao ◽  
Feng Liu
Keyword(s):  
Mathematical Models ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Control Strategy ◽  
Regenerative Braking ◽  
Proportional Relation ◽  
Driving Range ◽  
Braking Force ◽  
Braking Control ◽  
Braking Process

Regenerative braking of electric vehicles can not only conserve energy, but also increase driving range. Regenerative braking control strategy formulate proportional relation of regenerative braking and mechanical braking, how to distribution regenerative braking and mechanical braking has become the key problem of raising regenerative braking energy[1]．This paper research on the distribution of braking force in the braking process, formulate mathematical models and put forward a new control strategy. The new control strategy is simulated and analyzed in the ADVISOR. Used new control strategy, the results indicate that fuel economy, emission and dynamic of simulation vehicle are improved.

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

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.

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.

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.

Analyses of the Relation Between Degree of Mixing and Regenerative Braking in Hybrid Electric Vehicles

2014 ◽  
Vol 926-930 ◽  
pp. 743-746 ◽  
Author(s):  
Jing Ming Zhang ◽  
Jin Long Liu ◽  
Ming Zhi Xue
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Recovery Rate ◽  
Hybrid Electric Vehicles ◽  
Front Wheel ◽  
Regenerative Braking ◽  
Theoretical Derivation ◽  
Matlab Simulink ◽  
Hybrid Electric ◽  
Braking Control

The introduction of driving motors brings in the function of regenerative braking for Hybrid Electric Vehicles (HEV). In order to study the further information of regenerative braking, the relation between the degree of mixing in HEV and the recovery rate of regenerative braking was analyzed. The study object was the front-wheel driving HEV with the wire-control composite regenerative braking control strategy. Conclusions were deduced through the theoretical derivation. The braking model was established on the platform in MATLAB/SIMULINK and it was simulated within a HEV. The results indicate that the recovery rate would increase if the degree of mixing rises.

Study on Regenerative Braking Control Strategy

2012 ◽  
Vol 588-589 ◽  
pp. 1484-1489
Author(s):  
Tian Li Wang ◽  
Chang Hong Chen ◽  
Qing Jie Zhao ◽  
Ying Xiao Yu
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force ◽  
Braking Control ◽  
Distribution State ◽  
Avl Cruise ◽  
Braking Energy Recovery ◽  
The Ideal

Based on the analysis about the front and rear braking force distribution curve and the motor anti-drag braking characteristic, the Regenerative Braking Control Strategy which can maintain the capacity of the motor braking energy recovery and make the front and rear braking force distribution closer to the ideal distribution state is proposed. Create a control model. It is simulated by AVL-cruise. The results show that the new control strategies can improve the utilization of ground adhesion coefficient and braking stability.

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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