Bicycle Control Using Multi-Sensor Wind Override Logic
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Solution Overview
Problem
Existing human-powered vehicle control systems rely on a single sensor for controlling vehicle components, leading to inadequate control and stability, especially in varying environmental conditions and sensor failures.
Innovation Solution
A human-powered vehicle control device that utilizes multiple sensors, including torque, wind, acceleration, vehicle speed, and inclination sensors, to provide more accurate and stable control by comparing and combining sensor data, and implementing backup systems to handle sensor failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to control the human-powered vehicle component, then the control accuracy and stability are improved, but the device complexity increases
Solution Approach 1:
The control device segments the measurement function by using multiple different sensors (first sensor and second sensor) to detect the same physical quantity (human driving force or vehicle driving force) through different detection methods. This segmentation allows cross-validation of measurements, improving control accuracy while managing complexity through functional division.
Solution Approach 2:
The control device implements feedback by comparing the first value from the first sensor with the second value from the second sensor. The electronic controller uses this comparison feedback to determine whether to trust each sensor's data, thereby improving measurement reliability and control accuracy without proportionally increasing system complexity.
2Reliability
If multiple sensors are used to detect driving force, then the reliability of control is improved, but the device complexity increases
Solution Approach 1:
The control device applies beforehand cushioning by having multiple sensors ready to detect driving force through different principles. When one sensor fails or provides inaccurate data, the other sensor can compensate, providing a backup mechanism that improves reliability without requiring complex failure detection and switching systems.
Solution Approach 2:
The control device uses composite sensing approaches by combining outputs from multiple sensors with different detection principles (e.g., torque sensor and acceleration sensor). This composite measurement strategy improves reliability by leveraging the strengths of each sensor type while mitigating their individual weaknesses, achieving robust control without excessive complexity.
3Stability of the object's composition
If sensor data comparison and integration is implemented, then the stability of vehicle component control is improved, but the computational requirements and processing time increase
Solution Approach 1:
The control device applies partial action by comparing sensor values only when necessary for control decisions. The electronic controller selectively processes sensor data based on control requirements, performing full comparison and integration only when needed, thereby improving stability without continuously consuming processing time and resources.
Solution Approach 2:
The control device uses parameter changes by adjusting the level of data processing based on operating conditions. The electronic controller modifies how sensor values are integrated and compared depending on the specific control situation, allowing efficient processing that maintains stability while minimizing unnecessary computational overhead and time loss.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the control and stability of human-powered vehicle components by integrating diverse sensor data, ensuring suitable operation even in abnormal conditions and sensor failures, thereby improving the overall performance and safety.
Implementation Method 1
the first sensor includes a torque sensor that detects a torque input to a crank of the human-powered vehicle
Implementation Method 2
an wind sensor that detects at least one of wind speed and wind pressure
Implementation Method 3
an acceleration sensor that detects acceleration of the human-powered vehicle
Implementation Method 4
a vehicle speed sensor that detects vehicle speed of the human-powered vehicle
Implementation Method 5
an inclination sensor that detects tilt of the human-powered vehicle
Data Source
AI summary
A human-powered vehicle control device includes an electronic controller configured to control a human-powered vehicle component included in a human-powered vehicle in accordance with an output of a wind sensor that detects at least one of wind speed and wind pressure. The electronic controller is configured not to operate the human-powered vehicle component in accordance with the output of the wind sensor upon determining the output of the wind sensor satisfies a predetermined condition.