Power determination method, device and system and bicycle

By adjusting the feature vector to determine the output power of the electric-assisted bicycle motor, the problem of failure to effectively reduce the total energy consumption of riders and motors in the prior art is solved, and more efficient energy use and carbon emission reduction effects are achieved.

CN119659828APending Publication Date: 2025-03-21深圳哲轮科技有限公司
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Patent Information

Application Number
CN202311209792.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-19
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

The prior art fails to effectively reduce the total energy consumption of the rider and the motor when controlling the output power of the electric power bicycle motor, especially in the case of human-machine coupling.

Method used

By obtaining current riding data, including the bicycle speed and the torque applied by the pedal, adjusting based on the feature vector to determine the motor output power, with the aim of reducing the total energy consumption of the rider and the motor. The feature vector is adjusted through historical riding data, and the optimization goal is to reduce average energy consumption.

Benefits of technology

It realizes reducing the total energy consumption of riders and motors by controlling the motor output power, helping to reduce carbon emissions, and improving the energy efficiency of the electric-powered bicycles.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a power determination method, device and system and a bicycle, and relates to the technical field of bicycle control, the method comprises: in a first mode, acquiring first riding data in current riding, the first riding data comprising a speed of the bicycle and a torque applied to a pedal of the bicycle; the output power of a motor of the bicycle in the current riding process is determined on the basis of the feature vector and the first riding data in the current riding process, the feature vector is used for representing second riding data, and the second riding data comprises the first riding data and the output power of the motor; wherein the feature vector in the current riding is obtained by adjusting the feature vector on which the output power of the motor is determined in the historical riding, and the value of the average energy consumption corresponding to the adjusted feature vector is smaller than the actual value of the average energy consumption in the historical riding; the average energy consumption represents the ratio of the total energy consumption of the rider and the motor to the historical riding mileage.
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