Cleaning Robot Adaptive Charging Control for Remaining Area Efficiency
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Solution Overview
Problem
Current household cleaning robots lack an intelligent and efficient power management system for charging, leading to low comprehensive cleaning efficiency and inconvenient operation when returning to a charging station, especially when there are still unclean areas.
Innovation Solution
A cleaning robot equipped with a navigation apparatus that monitors cleaned areas in real time, reports to a control system, and determines a to-be-cleaned area based on historical cleaning maps, allowing the robot to charge to a predetermined amount according to the remaining cleaning area, thereby optimizing charging and resuming cleaning efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the cleaning robot charges to a fixed threshold (e.g., 80%) regardless of remaining cleaning area, then the charging control is simple, but the comprehensive cleaning efficiency is low
Solution Approach 1:
The control system continuously monitors the remaining cleaning area and uses this feedback to dynamically adjust the charging threshold. When the remaining cleaning area is small, the system sets a lower charging threshold to enable quick charging and resume cleaning, thereby improving overall cleaning efficiency without requiring complex manual intervention
Solution Approach 2:
The charging threshold is transformed from a fixed value to a dynamic parameter that changes based on the remaining cleaning area. The system automatically adjusts the threshold between different values (e.g., first threshold for large remaining area, second threshold for small remaining area), making the charging control adaptive rather than static
2Reliability
If the cleaning robot returns to charging station when power is low, then the robot can be recharged, but the cleaning work is interrupted and efficiency is reduced
Solution Approach 1:
The system performs preliminary assessment of the remaining cleaning area before triggering the charging action. By evaluating whether the remaining area is small enough to be completed with a quick charge, the system avoids unnecessary charging trips and maintains cleaning continuity when possible
Solution Approach 2:
The control system autonomously decides when charging is necessary by comparing remaining cleaning area against predefined thresholds, eliminating the need for user intervention. The system serves itself by making intelligent charging decisions that balance power reliability with cleaning productivity
3Duration of action of moving object
If the cleaning robot charges to a high threshold (e.g., 95%) to ensure enough power for large areas, then the power sufficiency is improved, but the charging time increases
Solution Approach 1:
The system changes the charging threshold parameter dynamically based on the remaining cleaning area. For small remaining areas, a lower threshold (faster charge) is applied; for large remaining areas, a higher threshold (more power) is applied, optimizing the balance between charging time and operating duration
Data Source
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AI summary
Embodiments of the present disclosure provide a cleaning robot and a control method thereof. The cleaning robot includes a chassis; a drive system; an energy storage unit, supported by the chassis and includes at least one charging contact sheet, wherein the charging contact sheet protrudes from a plane of the chassis slightly, and the energy storage unit is configured to be charged according to a predetermined amount in a case that the robot is located at a charging station; and a control system, disposed on a main circuit board inside the cleaning robot and including a non-transitory memory and a processor, wherein the control system is configured to control the energy storage unit to charge according to the predetermined amount based on a to-be-cleaned area and a total power consumption factor. The present disclosure can automatically obtain a remaining to-be-cleaned area this time according to a historical cleaning map record, and calculate power required for recharging based on the cleaned area, which can greatly improve overall cleaning efficiency and improve user experience.