E-Bike Motor Control Using Pitch Angle and Rider Load
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Solution Overview
Problem
Existing human-powered vehicle control systems fail to optimally utilize information related to user load and pitch angle to efficiently control motors, leading to suboptimal propulsion assistance.
Innovation Solution
A control device and system that utilize an electronic controller to manage a motor based on user load and pitch angle, including sensors to detect these factors, to enhance propulsion assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the motor is controlled using only basic propulsion information, then the control system is simple, but the propulsion assistance is suboptimal
Solution Approach 1:
The control system dynamically adjusts motor output based on real-time changes in pitch angle and user load detection. The controller modifies propulsion assistance levels according to varying riding conditions such as inclines, declines, and user effort, enabling adaptive optimization of propulsion efficiency without requiring a completely complex redesign of the basic control architecture
Solution Approach 2:
The system utilizes multiple detection parameters including pitch angle, user load, and their temporal derivatives to optimize motor control. By analyzing changes in these parameters over time, the controller adjusts motor output to match actual riding conditions, improving propulsion assistance efficiency through sophisticated parameter-based control rather than simple on/off switching
2Speed
If the motor responds immediately to all pitch angle changes, then the responsiveness is high, but the system may be overly sensitive to noise
Solution Approach 1:
The control system incorporates a detection period before fully responding to pitch angle changes. During this preliminary detection phase, the controller monitors whether the pitch angle change exceeds a threshold for a predetermined duration, filtering out transient noise while maintaining readiness to respond quickly to genuine riding condition changes. This preliminary action ensures both rapid response to valid inputs and immunity to spurious signals
Solution Approach 2:
The system continuously monitors pitch angle, user load, and motor output, adjusting control parameters based on feedback from these sensors. The controller modifies motor response characteristics in real-time based on detected riding conditions, creating a closed-loop system that balances responsiveness with stability through adaptive feedback control
3Reliability
If the motor is restricted during certain pitch angle conditions, then the control stability is improved, but the propulsion assistance is reduced
Solution Approach 1:
The control system dynamically adjusts motor output based on real-time changes in pitch angle and user load detection. The controller modifies propulsion assistance levels according to varying riding conditions such as inclines, declines, and user effort, enabling adaptive optimization of propulsion efficiency without requiring a completely complex redesign of the basic control architecture
Solution Approach 2:
The system utilizes multiple detection parameters including pitch angle, user load, and their temporal derivatives to optimize motor control. By analyzing changes in these parameters over time, the controller adjusts motor output to match actual riding conditions, improving propulsion assistance efficiency through sophisticated parameter-based control rather than simple on/off switching
Data Source
AI summary
A control device is provided for a human-powered vehicle. The control device includes an electronic controller that is configured to control a motor that assists in propulsion of the human-powered vehicle. The electronic controller is configured to control the motor in accordance with a pitch angle of the human-powered vehicle and information related to a user load applied by a user to the human-powered vehicle in a negative direction with respect to a propulsion direction of the human-powered vehicle.