scholarly journals Fuzzy Inference Based Regenerative Braking Control of Handle Type Electric Wheelchair for Senior Citizen

2011 ◽  
Vol 23 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Hirokazu Seki ◽  
Yoshiaki Takahashi
2015 ◽  
Vol 4 (1) ◽  
pp. 209-224 ◽  
Author(s):  
Selim Oleksowicz ◽  
Keith Burnham ◽  
Navneesh Phillip ◽  
Phil Barber ◽  
Eddie Curry ◽  
...  

2016 ◽  
Vol 8 (10) ◽  
pp. 168781401667353 ◽  
Author(s):  
Tao Deng ◽  
Chunsong Lin ◽  
Bin Chen ◽  
Chuanfu Ma

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987776 ◽  
Author(s):  
Shengqin Li ◽  
Bo Yu ◽  
Xinyuan Feng

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.


Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 1038 ◽  
Author(s):  
Yang Yang ◽  
Chang Luo ◽  
Pengxi Li

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