E-Bike Pedal Torque Control for Consistent Load Under Cargo Weight
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Solution Overview
Problem
Conventional electric bicycles provide inconsistent pedal load based on cargo weight, leading to deteriorated user convenience.
Innovation Solution
A control system for electric bicycles that estimates cargo weight using driving motor output and traveling data, adjusting pedal torque commands to maintain a consistent pedal load regardless of cargo weight changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the pedal load is increased to match the cargo weight, then the driving motor output increases, but the user convenience deteriorates due to excessive resistance
Solution Approach 1:
The system dynamically adjusts the pedal load parameter based on cargo weight detection. When cargo weight increases, the controller increases the pedal load parameter to match the additional weight, maintaining consistent acceleration performance. This parameter adjustment resolves the contradiction by ensuring the motor provides sufficient power for heavy loads while the pedal resistance remains within acceptable limits for user operation.
Solution Approach 2:
The system implements feedback control by continuously monitoring acceleration performance and adjusting the pedal load accordingly. The controller detects cargo weight through acceleration variations and modifies the pedal load parameter in real-time. This feedback mechanism ensures that the driving motor output is optimized for the current load while maintaining consistent user experience, preventing both insufficient power and excessive resistance.
2Ease of operation
If the pedal load is decreased to maintain user convenience, then the acceleration performance deteriorates when cargo weight increases
Solution Approach 1:
The system dynamically changes the pedal load parameter based on detected cargo weight. When cargo weight increases, the controller increases the pedal load parameter proportionally, ensuring that acceleration performance is maintained despite the heavier load. This parameter adjustment allows the system to overcome heavy cargo while preserving consistent acceleration characteristics that users expect.
Solution Approach 2:
The system transitions from a static pedal load setting to a dynamic adjustment mechanism. The pedal load is no longer fixed but varies in real-time based on cargo weight detection through acceleration monitoring. This dynamic approach allows the system to adapt to changing conditions, maintaining both user convenience and acceleration performance across different loading scenarios.
3Device complexity
If a fixed pedal load is used, then the system is simple to control, but the pedal feeling becomes inconsistent when cargo weight varies
Solution Approach 1:
The system implements feedback control by monitoring acceleration performance and using this information to adjust the pedal load parameter. The controller detects changes in acceleration that indicate cargo weight variations and automatically modifies the pedal load to maintain consistent pedal feeling. This feedback mechanism achieves stable and consistent user experience without requiring complex manual adjustments or pre-programming for different cargo weights.
Solution Approach 2:
The system performs self-adjustment of the pedal load parameter based on its own operational data. By monitoring its own acceleration performance and detecting cargo weight changes through this self-monitoring, the system automatically adjusts the pedal load without external intervention. This self-service capability maintains consistent pedal feeling while avoiding the need for complex external control systems or manual user adjustments.
Data Source
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AI summary
The present disclosure relates to a control system and a control method of an electric bicycle, and an electric bicycle including the same. The control system according to an embodiment of the present disclosure is a control system for an electric bicycle providing a pedal feeling to a driver by providing a pedal load according to driving of a pedal motor, and includes a memory; and a processor configured to perform control using information stored in the memory such that a pedal load of a predetermined range is provided from the pedal motor even when a change is in a cargo weight obtained by adding a weight of the driver and a weight of a loaded object. The processor may be configured to estimate the cargo weight based on an output value of a driving motor providing a driving force for traveling of the electric bicycle and traveling data of the electric bicycle, generate a pedal torque command reflecting the cargo weight estimation value, and transmit the pedal torque command to the pedal motor.