Electric Spoiler Self-Learning Calibration for Position Deviation
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Solution Overview
Problem
The angle of the vehicle spoiler cannot be corrected in time when it deviates, affecting the vehicle's traveling performance.
Innovation Solution
An electric spoiler control method that includes real-time position acquisition, deviation detection, and a self-learning state to adjust the spoiler to a preset position, performing learning actions between calibration positions to eliminate deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the spoiler position is not monitored and adjusted in real-time, then the device complexity is reduced, but the spoiler position accuracy deteriorates causing deviation during vehicle travel
Solution Approach 1:
The patent implements a feedback control mechanism where a sensor continuously monitors the actual spoiler position and compares it with the target position. When deviation is detected, the control unit automatically triggers the motor to adjust the spoiler back to the correct position, creating a closed-loop system that maintains position accuracy without requiring complex manual intervention
Solution Approach 2:
The control system performs self-correction by automatically detecting position deviations and adjusting the spoiler without external intervention. The system monitors its own state through the sensor and autonomously executes correction actions, reducing the need for complex external control mechanisms while maintaining high position accuracy
2Manufacturing precision
If real-time position monitoring and self-learning adjustment are implemented, then the spoiler position accuracy is improved, but the use of energy increases due to continuous monitoring and adjustment operations
Solution Approach 1:
The system performs position monitoring and adjustment operations periodically rather than continuously. The control unit checks for deviation signals at specific intervals and only activates the motor when correction is needed, reducing energy consumption compared to continuous operation while maintaining position accuracy through regular checks
Solution Approach 2:
The system enters a self-learning state only when deviation is detected, performing calibration actions to correct the issue. After successful correction, the system returns to normal operation mode, discarding the high-energy calibration mode and recovering energy efficiency. This on-demand approach to correction minimizes unnecessary energy expenditure
Data Source
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AI summary
An electric spoiler control method. The electric spoiler control method comprises: acquiring the current position of an spoiler, and determining, according to the current position of the spoiler and a preset position of the spoiler, whether the spoiler is offset (S 1); when it is determined that the spoiler is offset, outputting an offset signal related to the offset of the spoiler (S2); when a confirmation adjustment signal for the offset signal is detected, controlling the spoiler to enter an spoiler self-learning state, wherein the spoiler self-learning state comprises controlling the spoiler to execute a preset learning action between a plurality of calibration positions (S3); and acquiring an actual position of the spoiler, and when it is detected that an offset value between the actual position and the corresponding calibration position is less than a preset offset value, determining that spoiler self-learning is successful (S4). Further disclosed are an electric spoiler control apparatus, and an electronic device, a vehicle and a computer program product, which include the control method. By means of the control method, the problem of it being impossible to correct the angle of an spoiler in time when the spoiler is offset is solved, thus effectively improving the applicability of the spoiler.