A monitoring method and system for intelligent power-assisted bicycles based on myoelectric evaluation

Abstract

The invention discloses an intelligent power-assisted bicycle monitoring system based on myoelectric evaluation, which includes a myoelectric signal acquisition module, a myoelectric estimation unit, a riding force management unit, and a torque motor system; the myoelectric signal acquisition module collects human muscle and send the collected myoelectric signal to the myoelectric estimation unit; the myoelectric estimation unit can obtain the strength and fatigue of the muscle through the calculation of the frequency and amplitude of the electromyography signal, and give the corresponding current The optimal riding torque for muscle strength and fatigue; the riding strength management unit controls the torque of the motor in the torque motor system according to the optimal riding torque. The invention utilizes the riding efficiency to a great extent, improves the usage rate of the battery, and increases the cruising range.

Description

technical field [0001] The invention relates to an intelligent power-assisted bicycle monitoring method and system based on myoelectric evaluation, and belongs to the technical field of power-assisted bicycles. Background technique [0002] With the development of science and technology and the improvement of people's living standards, comfort and safety have become increasingly prominent in products. Special power-assisted bicycles have gradually entered people's daily life from commuting and leisure sports. In order to ensure safe and secure use of consumers, improve riding feeling, increase comfort, and even increase cruising range, electric bicycles currently lack leg muscle fatigue detection, which cannot be achieved: increase power when the human body is fatigued, and increase resistance when going downhill. To keep the human body in a good state while riding, and to protect the muscles from injury to achieve the purpose of effective exercise; therefore, an intelligen...

AI Technical Summary

Problems solved by technology

In order to ensure the safe and secure use of consumers, improve the riding feeling, increase the comfort, so as to increase the cruising range, the current electric bicycle lacks leg muscle fatigue detection, which cannot be realized: increase the power when the human body is tired, and increase the resistance when going downhill. Keep the human body in a good state all the time while riding, and can protect the muscles from damage to achieve the purpose of effective exercise; therefore, there is a need for an intelligent power-assisted bicycle monitoring method and system based on myoelectric evaluation

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