Optimal power-assistance system for a new pedelec model

Abstract

This paper presents an activity concerning the modeling and the control of an innovative power-assisted electric bicycle. The proposed control method is based on a torque control designed via an optimal approach to achieve multi-objective performances regarding the external disturbance input, control signal magnitude, and velocity tracking error. The performance of the methodology has been evaluated applying the proposed control to a new pedelec (pedal electric cycle) model characterized by the measurement of the total torque (rider torque and electric motor one) employed as a feedback for the control. To this aim, a mathematical model of the bicycle, equipped with the electric motor, has been developed. Simulations have been performed in order to evaluate the tracking capability and the disturbance rejection. The performances have been compared with the ones referred to a traditional assistance approach, and the results demonstrate that the proposed approach provides improvements in terms of riding comfort and energy employment.

Evaluating a heart rate regulation system for human–electric hybrid vehicles

“…The motor power is then regulated to compensate these changes, enabling the cyclist to ride at a constant power and speed. [17][18][19] Cardone et al 20 applied an optimal control approach, managing the uncontrolled inputs from slope, rolling resistance and human torque to maintain a constant speed. Hsu et al 21,22 introduced a reinforcement learning-based method to control the motor power.…”

Enhanced fuzzy‐logic‐based power‐assisted control with user‐adaptive systems for human‐electric bikes

“…To cope with the effects of wind disturbance and tyre resistance, Chen et al [10] propose a velocity control approach to human‐electric bikes using multi‐objective optimisation. In a similar way, Cardone et al [11] also presented a model‐based optimal torque control considering the slope, the human torque, and the rolling resistance for power‐assisted electric bikes. In the literature, the fuzzy‐logic theory also has been employed to energetically adjust the assist power [12–17].…”

Torque and Speed Control of BLDC Motor for Pedelec

“…Ping-Ho Chen has been modeled the human as a PID controller whose output is mechanical pedal torque [13]. Similarly, the rider have been interpreted with P and I coefficients in order to simulate the response time of the rider to track the desired velocity and controller reply the demand with torque [14]. Human torque has been considered as a cosine function proportional to the maximum human torque besides the desired and measured velocity parameters [15].…”