E-Bike Motor Control State Switching for Battery and Power Management
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Solution Overview
Problem
Existing human-powered vehicle control systems lack usability enhancements, particularly in managing motor assistance and battery usage, with limited control over driving time, frequency, and output, which are not effectively adaptable to travel states and battery levels.
Innovation Solution
A human-powered vehicle control device with an electronic controller that switches between control states to manage motor assistance and battery usage, limiting or optimizing parameters like driving time, frequency, and output based on travel states and battery levels, and includes a server for transmitting control information to vehicle components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the motor is controlled without limitations on driving time, frequency, and output, then the motor assistance performance is improved, but the battery consumption increases and usability deteriorates
Solution Approach 1:
The control device dynamically adjusts motor control parameters (driving time, frequency, output) based on real-time travel states and battery levels. The system transitions between different control states (first control state with limitations, second control state without limitations) to optimize both motor assistance performance and battery consumption, thereby improving usability while maintaining power efficiency.
2Loss of energy
If the motor control parameters are strictly limited in the first control state, then battery consumption is reduced, but motor assistance performance deteriorates
Solution Approach 1:
The system changes control parameters (driving time, frequency, output limits) based on the control state. In the first control state, parameters are limited to conserve battery. In the second control state, limitations are relaxed or removed to improve motor assistance performance. This parameter adaptation resolves the contradiction between energy conservation and performance maintenance.
3Productivity
If the control system adapts to travel states and battery levels, then operational efficiency is improved, but device complexity increases
Solution Approach 1:
The control system is segmented into distinct control states (first control state with limitations, second control state without limitations). Each state has predefined control strategies, simplifying the decision-making process. The electronic controller switches between these segmented states based on travel state and battery level, achieving adaptive control without excessive system complexity.
Data Source
AI summary
A human-powered vehicle control device for a human-powered vehicle includes an electronic controller that controls a motor assisting in propulsion of the human-powered vehicle. The electronic controller is configured to control the motor in a first control state that limits at least one of a first driving time of the motor assisting in propulsion of the human-powered vehicle, a first driving number of times of the motor, a driving timing of the motor, a second driving time for driving the motor so that an output of the motor becomes greater than or equal to a predetermined output value, and a second driving number of times for driving the motor so that the output of the motor becomes greater than or equal to the predetermined output value.