Battery Swap Station Image Checks for Surface Damage Detection
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Solution Overview
Problem
Current battery swap stations lack effective detection methods for foreign matter on battery surfaces and damage to batteries during the swap process, leading to potential safety risks and unclear reasons for battery faults.
Innovation Solution
A detection method for battery swap in a battery swap station, which involves obtaining images of used batteries at preset positions, determining if the batteries are in anomalous states, and selectively uploading these images to a server for storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery swap is performed without surface monitoring, then swap speed is maintained, but safety risks increase due to undetected foreign matter and battery damage
Solution Approach 1:
The system performs preliminary detection of the battery lower surface before the swap operation begins, capturing images and identifying anomalies in advance. This allows the swap process to proceed without delay while ensuring safety through pre-identification of potential issues.
Solution Approach 2:
The system implements feedback mechanisms by capturing images of the battery at multiple stages (before swap, during swap, after swap), analyzing them for anomalies, and using this information to determine whether to proceed with or abort the swap operation. This closed-loop control ensures safety without compromising efficiency.
2Measurement precision
If comprehensive battery surface detection is implemented, then fault identification accuracy improves, but system complexity increases
Solution Approach 1:
The detection system is divided into multiple independent modules: an image acquisition module for capturing battery images, an image analysis module for processing images and identifying anomalies, and a control module for decision-making. This segmentation allows each module to be optimized independently while maintaining overall system accuracy.
Solution Approach 2:
The system introduces an image analysis module as an intermediary between the image acquisition module and the control module. This intermediary processes images to identify anomalies such as foreign matter, scratches, and dents, providing structured information to the control module without requiring direct complex interactions between other components.
3Measurement precision
If battery images are captured and analyzed at multiple positions, then detection completeness improves, but processing time increases
Solution Approach 1:
The system performs image capture and analysis at periodic intervals during the battery swap process - before the swap begins, during the swap operation, and after the swap completes. This periodic detection ensures comprehensive coverage of potential anomalies at different stages without requiring continuous monitoring that would consume excessive time.
Data Source
AI summary
The invention relates to the field of battery swap technologies, and specifically provides a detection method for battery swap in a battery swap station. The invention aims to solve the following problem: Potential safety risks are caused by no prevention of a foreign matter on an upper surface of a battery, a damage on a battery in a process of battery swap, and no prevention of circulation of a battery with a damaged lower surface in a battery swap station, because a battery surface is not monitored before and after battery mounting in existing battery swap stations. To this end, the detection method for battery swap in the invention includes the following steps: obtaining a first image of a used battery at a first preset position; determining, based on the first image, whether the used battery is in a first anomalous state; selectively uploading the first image to a server based on a determination result; obtaining a second image of the used battery at a second preset position; determining, based on the second image, whether the used battery is in a second anomalous state; and selectively uploading the second image to the server based on a determination result, so that the server receives and stores the first image and the second image.