Regenerative Braking Control of Induction Motor in Electric Vehicles for Optimal Energy Recovery

2019 ◽  
pp. 229-238
Author(s):  
Konka Gurunath ◽  
A. Vijayakumari
Keyword(s):  
Induction Motor ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Optimal Energy ◽  
Braking Control

Design of Brake Pedal Stroke Simulator for Hybrid Electric Car

2013 ◽  
Vol 694-697 ◽  
pp. 73-76 ◽  
Author(s):  
Cong Wang ◽  
Hong Wei Liu ◽  
Liang Yao ◽  
Yan Bo Wang ◽  
Liang Chu ◽  
...  
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Design Parameters ◽  
Regenerative Braking ◽  
Brake Pedal ◽  
Braking System ◽  
Electric Car ◽  
Hybrid Electric ◽  
Braking Control

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.

Fully Electrified Regenerative Braking Control for Deep Energy Recovery and Maintaining Safety of Electric Vehicles

2016 ◽  
Vol 65 (3) ◽  
pp. 1186-1198 ◽  
Author(s):  
Guoqing Xu ◽  
Kun Xu ◽  
Chunhua Zheng ◽  
Xinye Zhang ◽  
Taimoor Zahid
Keyword(s):  
Electric Vehicles ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Braking Control

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.

A PMSM fuzzy logic regenerative braking control strategy for electric vehicles

2021 ◽  
pp. 1-9
Author(s):  
Feng Liu
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Motor Vehicle ◽  
Regenerative Braking ◽  
Storage Device ◽  
Vehicle Speed ◽  
Braking Control

Regenerative braking system is a system by which an energy conversion device is used to convert kinetic energy into electrical energy and store it in an energy storage device for use when the motor vehicle is driving. To improve the energy recovery rate of pure electric vehicles, a series regenerative braking control strategy based on PMSM fuzzy logic is proposed in this paper. According to this strategy, the motor braking shall be used as much as possible based on ensuring braking stability, 4 braking zones shall be divided according to the braking intensity, and different braking force distribution strategies shall be used, while comprehensively considering influencing factors such as vehicle speed, ECE regulations, battery, and motor characteristics. Simulink and Cruise are used for modeling and united simulation. The results show that the built model is accurate and reliable. The energy recovery rate can be improved effectively and the cruising range of pure electric vehicles can be extended based on proposed series regenerative braking 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.

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.

Sign in / Sign up

Export Citation Format

Share Document