Automatic Bicycle Shifter Using Servo Motors and Sensors
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Solution Overview
Problem
Existing bicycle shifting technologies fail to provide a robust, commercially successful automatic shifting system that adapts to rider biometrics, endurance, strength, and size, often requiring complex calculations and manual adjustments, leading to suboptimal pedaling rates and efforts.
Innovation Solution
A microprocessor-based automatic bicycle shifter using servo motors, bicycle speed, and road inclination sensors, coupled with a user-friendly interface for real-time adjustments, to proactively manage drive sprocket engagement and optimize pedaling effort based on rider-defined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual shifting with cable tensioning apparatus is used, then the rider can control chain position, but the operation complexity increases and shifting precision deteriorates due to continuous motion requirements and positioning errors
Solution Approach 1:
The patent replaces the mechanical cable tensioning apparatus with an electric motor-driven system. The motor rotates a sprocket to directly move the chain between sprockets, eliminating the need for cable tensioning mechanisms and manual lever operations. This substitution provides both easier operation (automatic or semi-automatic control) and improved positioning precision (controlled by motor rotation steps).
Solution Approach 2:
The system incorporates sensors that automatically detect riding conditions (speed, cadence, torque) and autonomously determine optimal gear shifts. The motor-driven chain positioning system then executes shifts without requiring continuous manual intervention, allowing the system to serve itself in maintaining optimal gear ratios during riding.
2Productivity
If complex mathematical calculations are implemented for automatic shifting, then shifting optimization improves, but device complexity increases
Solution Approach 1:
The patent employs sensors to continuously monitor riding parameters (speed, cadence, torque) and feeds this information back to the control system. The microprocessor uses this feedback to automatically calculate and execute optimal gear shifts based on pre-programmed algorithms, reducing the need for complex real-time mathematical calculations while maintaining high shifting optimization.
Solution Approach 2:
The system optimizes shifting by monitoring changes in key parameters (speed, cadence, torque) and triggering gear changes when predefined thresholds or rates of change are exceeded. This approach simplifies the control logic compared to continuous complex mathematical optimization, as it relies on parameter threshold detection rather than real-time solving of complex equations.
3Device complexity
If fixed criteria-based shifting is used, then device simplicity is maintained, but adaptability to different riders deteriorates
Solution Approach 1:
The patent implements dynamic shifting criteria that adjust based on real-time sensor data and rider-specific parameters. The system can store multiple rider profiles with different biometric data and preferences, dynamically selecting and adjusting shifting thresholds and algorithms to match the current rider. This allows the same device to adapt to different riders without requiring complex reconfiguration, maintaining relative simplicity while improving adaptability.
Data Source
AI summary
An automatic bicycle drivetrain shifting apparatus comprising a bicycle drive chain derailleur powered by a servo gearmotor slaved to an electronic control system and controlled through a highly adaptable user interface serving to automatically alternate drive chain position between available bicycle drive sprockets under user defined shifting criteria adaptable in real time to rider conditioning, comfort level and road conditions thereby alleviating manual shifting tasks and achieving optimal pedal rate and effort settings for the rider.