E-bike Electronic Controller Dynamic Assist Mode Adjustment
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Solution Overview
Problem
Existing control devices for human-powered vehicles do not effectively contribute to comfortable traveling by not dynamically adjusting the assist mode based on real-time traveling conditions.
Innovation Solution
A control device with an electronic controller that adjusts the assist mode by changing the current assist mode to a different mode based on the current assist mode, traveling conditions, and mode determination information, including level increase and decrease information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the assist mode is fixed without dynamic adjustment, then the control system is simple, but the traveling comfort is insufficient
Solution Approach 1:
The patent implements dynamic adjustment of assist modes based on real-time traveling conditions. The electronic controller monitors conditions such as human driving force, vehicle speed, acceleration, and terrain slope, then automatically switches between multiple assist modes (e.g., eco mode, standard mode, sport mode) to optimize assistance levels. This dynamic adaptation resolves the contradiction by making the control system responsive to changing conditions, thereby improving traveling comfort without requiring overly complex manual intervention from the user.
Solution Approach 2:
The control system incorporates feedback mechanisms that continuously monitor traveling conditions and adjust assist modes accordingly. Sensors detect parameters like pedaling force, vehicle speed, and acceleration, feeding this information back to the electronic controller which then selects appropriate assist modes. This feedback loop enables automatic optimization of assist levels based on actual traveling needs, improving comfort while maintaining reasonable system complexity through automated decision-making.
2Ease of operation
If the assist level is always high, then the traveling comfort is improved, but the energy consumption increases
Solution Approach 1:
The patent employs parameter changes by adjusting assist levels dynamically based on traveling conditions. Different assist modes correspond to different parameter settings for motor assistance. For example, in eco mode the assist level is reduced to conserve energy, while in sport mode the assist level is increased for better performance. The electronic controller selectively applies these parameter changes based on detected conditions such as terrain slope, vehicle speed, and human driving force, thereby optimizing the balance between comfort and energy consumption.
Solution Approach 2:
The system dynamically adjusts assist levels rather than maintaining a fixed high assistance level. By monitoring traveling conditions in real-time and switching between different assist modes, the system provides high assistance only when necessary (e.g., during uphill climbing or acceleration phases) and reduces assistance during normal cruising conditions. This dynamic approach maintains traveling comfort when needed while significantly reducing overall energy consumption compared to continuously high assist levels.
3Adaptability or versatility
If the assist mode changes frequently, then the adaptability to traveling conditions is improved, but the stability of control is reduced
Solution Approach 1:
The control system incorporates preliminary actions by setting threshold conditions and delay mechanisms before switching assist modes. When a condition change is detected, the system evaluates whether the change is significant and sustained before initiating mode switching. This preliminary evaluation prevents premature or unnecessary mode changes, ensuring that assist mode transitions occur only when genuinely warranted by traveling conditions. This approach maintains adaptability to real conditions while preserving control stability by avoiding erratic switching.
Solution Approach 2:
The system employs beforehand cushioning through hysteresis bands and minimum duration requirements for mode switching. When transitioning between assist modes, the system incorporates buffer zones that prevent immediate reverse switching, and requires conditions to be met for a minimum time period before mode changes take effect. This cushioning mechanism smooths out transient fluctuations in traveling conditions, allowing the system to adapt to genuine changes while maintaining stability by filtering out noise and temporary variations.
Data Source
AI summary
A control device is provided for a human-powered vehicle. The control device includes an electronic controller. The electronic controller is configured to control a motor that applies an assist force to the human-powered vehicle in one of a plurality of assist modes having different assist levels. The electronic controller is configured to change a current assist mode to a changed assist mode different from the current assist mode depending on the current assist mode in a case where a traveling condition regarding a traveling state of the human-powered vehicle is satisfied.


