On regenerative braking capability of BLDC motor

2016 ◽  
Author(s):  
O. C. Kivanc ◽  
O. Ustun ◽  
G. Tosun ◽  
R. N. Tuncay
Keyword(s):  
Regenerative Braking ◽  
Bldc Motor

scholarly journals ANN Based Improved Regenerative Braking System on PV/Battery Powered Electric Vehicles with Single Stage Interaction Converter

2019 ◽  
Vol 8 (9S2) ◽  
pp. 738-747
Keyword(s):  
Electric Vehicles ◽  
Single Stage ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Voltage Reference ◽  
Hybrid Features ◽  
Switching Algorithm ◽  
Braking System ◽  
Pv Panel ◽  
Solar Battery

Hybrid features batteriesand photovoltaic (PV) module located on the roof of electric Vehicles (EV) can be effectively used by a single stage interaction converter (SSIC). SSIC is introduced for directing the energy flow amid the PV panel, battery and BLDC machine.In this paper a novel braking system is used for charing electrical vehicles using solar battery system (PV) integrated with BLDC motor. It is called as RBS (Regenerative Braking System). During the RB process, generator function is provided by BLDC motor. In order to boost the BLDC-Back-EMF, a suitable switching algorithm is used. By boosting the inverter and SSIC converter the DC-Link voltage reference is reduced to charge the battery. It increases the efficiency of the RB system. In this paper Aritifical Neural Network is used to provide a smooth and reliable brake with distributed force. This proposed BLDC-Back-EMF is experimented in MATLAB Simulink software and the results are verified. Speed, Breaking-Force, torque and front-RB force, rearmeachnical-RB force and other voltage, power are verified.

scholarly journals Variable Switch Regenerative Braking Technique for PM BLDC Motor Driven Electric Two-wheeler

2019 ◽  
Vol 87 ◽  
pp. 01029
Author(s):  
Manish Kumar Dubey ◽  
Phaneendra Babu Bobba
Keyword(s):  
Electric Vehicle ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Matlab Simulink ◽  
Simulation Results ◽  
Braking Control ◽  
Two Wheeler

In this paper PM BLDC motor driven electric two-wheeler is proposed. The operation of PMBLDC motor in all four quadrants along with various regenerative braking control strategies are simulated MATLAB/ SIMULINK. Three braking methods are proposed for electric vehicle application. Factors like recovered energy, braking time, maximum braking current are compared. Depending on the simulation results switching between different braking methods is proposed for efficient and reliable braking operation. Moreover, by using variable switch braking technique one can extract more braking energy.

Optimal power management strategy of regenerative braking using fuzzy logic controller for BLDC Motor-Driven E-Rickshaw

2021 ◽  
pp. 1-10
Author(s):  
Abhinav K. Gautam ◽  
Mohd Tariq ◽  
Jai Prakash Pandey ◽  
Kripa Shankar Verma
Keyword(s):  
Fuzzy Logic ◽  
Power Management ◽  
Distribution System ◽  
Fuzzy Logic Controller ◽  
Solar Power ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Hybrid Energy ◽  
Ultra Capacitor ◽  
Fuzzy Logic Technique

In this paper, the authors have addressed the modeling and design of the BLDC Motor-Driven E-Rickshaw based on hybrid energy storage system for optimum power management using fuzzy logic. In Hybrid energy sources, solar power is used to charge a battery (primary source) that is effectively coupled to an ultra-capacitor (ancillary source) for peak demand supplies. A power-split control strategy is proposed to control the power supply by using the HESS Fuzzy Logic in different engine operating modes. Projected power layering improves the battery life cycle with the proper use of the Ultra-capacitor. A new renewable braking system (RBS) is proposed for HESS EV’s powered by a brushless DC (BLDC) engine. The electrical energy available during regenerative braking is stored in a supercapacitor battery. By providing a new switching algorithm, the DC link voltage is boosted to effectively transfer power to the HESS unit. The fuzzy logic technique is used as a braking force distribution system to ensure effective and smooth braking operations. Fuzzy logic-based HESS provides better performance in electric vehicles, such as highly efficient regenerative braking, deep discharge protection of the battery, and faster acceleration. Also, there is a quick comparison of E-rickshaw solar power with traditional E-rickshaw. The planned design model was simulated by MATLAB®/Simulink environment.

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