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- W4297999520 abstract "Regenerative braking may help electric vehicles save energy and expand their range. A new BLDC-powered regenerative braking system is highly recommended for electric vehicles. Traditional PID control is used to regulate the speed of the brushless DC motor, whereas ANFIS distributes the braking force. Compared to PID, this reasoning is slow. Because of this, PID controls the motor's negative torque when the brake is applied. Knowledge, strength, and efficiency have all enhanced as a result of this new insight. In order to get simulation results, the proposed system uses Simulink's IDE to analyse the motor’s speed and braking force as well as the vehicle's battery charge. Regenerative braking may extend an electric vehicle's range when it is used in conjunction with neuro-fuzzy logic and PID management, as shown in the study’s findings. MATLAB R2014a software is used to demonstrate the suggested approach at the end." @default.
- W4297999520 created "2022-10-01" @default.
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- W4297999520 date "2022-09-30" @default.
- W4297999520 modified "2023-09-30" @default.
- W4297999520 title "Adaptive Neuro-Fuzzy and PID-Based Regenerative System for E-Vehicles" @default.
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- W4297999520 doi "https://doi.org/10.1007/978-981-19-3590-9_29" @default.
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