Motorcycle load detection method and device

By detecting the real-time load pressure value of the electric motorcycle and determining the threshold based on historical data, the problem of insufficient load detection accuracy of the electric motorcycle in the prior art is solved, and customized detection for cyclists and higher detection accuracy are achieved.

CN113962018BActive Publication Date: 2025-03-18XIAOAN KEJI
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Patent Information

Application Number
CN202111069150.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-09-13
Publication Date
2025-03-18
Estimated Expiration
2041-09-13

AI Technical Summary

Technical Problem

In the prior art, the accuracy of the load detection of electric motorcycles is poor, and it is impossible to make customized judgments for individual riders, resulting in inaccurate detection results.

Method used

By detecting the real-time load pressure value of the motorcycle and determining whether the motorcycle is overloaded or overweight based on the real-time load pressure value, single riding threshold and overweight threshold. The single riding threshold and overweight threshold are determined based on the load pressure value obtained by the cyclist during historical normal riding, and the overweight threshold is greater than the single riding threshold.

Benefits of technology

Customized overload and overweight detection for cyclists is realized, which can adapt to cyclists' changes and improve the accuracy of load detection.

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Abstract

The present invention provides a method and device for detecting the load of an electric motorcycle, wherein the method comprises: detecting the real-time load pressure value of the electric motorcycle; determining whether the electric motorcycle is overloaded or overweight based on the real-time load pressure value, a single-riding threshold value, and an overweight threshold value; wherein the single-riding threshold value and the overweight threshold value are determined based on the load pressure value obtained by the rider of the electric motorcycle during historical normal riding, and the overweight threshold value is greater than the single-riding threshold value. The present invention determines the single-riding threshold value and the overweight threshold value based on the load pressure value obtained by the rider of the electric motorcycle during historical normal riding, and determines whether the electric motorcycle is overloaded or overweight by detecting the real-time load pressure value of the electric motorcycle and based on the real-time load pressure value, the single-riding threshold value, and the overweight threshold value, thereby realizing customized overload and overweight detection for the rider, thereby improving the accuracy of load detection.
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