A high-efficiency energy recovery system and method for an electric bicycle

The electric bicycle energy recovery system, which utilizes multi-dimensional environmental perception and fuzzy control, dynamically adjusts the electromagnetic braking torque, solving the problems of low energy recovery efficiency and poor riding experience in complex terrain of existing systems, thus achieving efficient energy management and improved safety.

CN122126093APending Publication Date: 2026-06-02SHENZHEN YIYAO INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN YIYAO INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2026-04-11
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing energy recovery systems for electric bicycles cannot dynamically optimize electromagnetic braking torque according to changes in road conditions when faced with complex and varied riding terrain. This results in low energy recovery efficiency and a poor riding experience, especially when there is insufficient energy during long downhill sections or excessive recovery intensity on flat roads, causing a jerky feeling.

Method used

By employing a multi-dimensional environmental perception module combined with fuzzy control logic, signals are collected in real time through a three-axis accelerometer, a three-axis gyroscope, and a barometer. Combined with a riding intention recognition module and a central processing module, the electromagnetic braking torque is dynamically adjusted to achieve flexible torque switching and safety monitoring, and to optimize the energy recovery strategy.

Benefits of technology

It significantly improves energy recovery efficiency, increases range by more than 30%, ensures smooth and safe riding, avoids safety hazards such as battery overheating and tire lock-up, and provides an efficient energy management solution.

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Abstract

This invention discloses a high-efficiency energy recovery system and method for electric bicycles, belonging to the field of electric vehicle power drive and energy management. The system includes modules such as multi-dimensional environmental perception, power status acquisition, riding intention recognition, and core central processing. It calculates the road surface slope angle through a multi-sensor fusion algorithm, combines this with vehicle parameters to calculate the reference resistance torque, and generates the target braking torque in conjunction with the braking stroke. It designs a flexible torque switching and constant-speed downhill control strategy, introduces fuzzy control to adjust the recovery intensity, establishes a safety monitoring and protection system, and can also estimate the road surface adhesion coefficient to achieve anti-slip adjustment. This invention improves energy recovery efficiency, eliminates braking jerking, ensures riding safety, and optimizes the riding experience and overall vehicle range.
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