Research on Parallel Regenerative Braking Control of the Electric Commercial Vehicle Based on Fuzzy Logic

2021 ◽  
Author(s):  
Meng Ye ◽  
Gangfeng Tan ◽  
Fushou Lei ◽  
Kailang Chen ◽  
Jiaming Feng ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Commercial Vehicle ◽  
Regenerative Braking ◽  
Braking Control

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.

Regenerative Braking Control for High Level Deceleration on Low Mu Surface

2015 ◽  
Vol 4 (1) ◽  
pp. 209-224 ◽  
Author(s):  
Selim Oleksowicz ◽  
Keith Burnham ◽  
Navneesh Phillip ◽  
Phil Barber ◽  
Eddie Curry ◽  
...  
Keyword(s):  
Regenerative Braking ◽  
Braking Control ◽  
High Level

scholarly journals Regenerative braking control strategy based on joint high-efficiency optimization

2016 ◽  
Vol 8 (10) ◽  
pp. 168781401667353 ◽  
Author(s):  
Tao Deng ◽  
Chunsong Lin ◽  
Bin Chen ◽  
Chuanfu Ma
Keyword(s):  
Control Strategy ◽  
High Efficiency ◽  
Regenerative Braking ◽  
Efficiency Optimization ◽  
Braking Control

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.

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