Battery Swapping Station Control for Multi-Pack Locking Compatibility
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Solution Overview
Problem
Current battery swapping stations lack compatibility with different brands, models, and battery pack types, and struggle to handle diverse locking mechanisms, limiting their universality and user base.
Innovation Solution
A smart battery swapping station with a control method that uses image processing and deep learning to identify vehicle chassis features, integrates database information for compatible locking and unlocking operations, employs dual AGVs for coordinated battery replacement, and optimizes charging strategies based on battery health and grid conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery swapping stations use specific locking mechanisms for specific vehicle types, then the reliability of locking operations is improved, but the adaptability to different vehicle models and battery pack types deteriorates
Solution Approach 1:
The locking mechanism is designed to be dynamically adjustable, capable of switching between latch type, bolt type, and spinning type locking mechanisms based on the detected vehicle model and battery pack configuration. The mechanism includes adjustable locking positions and adaptable gripping forces to accommodate different battery pack shapes and sizes while maintaining reliable locking operations for each specific vehicle type
Solution Approach 2:
The system changes operational parameters including locking position coordinates, locking force magnitude, and mechanism selection based on detected vehicle information. The control system retrieves specific parameters from a database matching the detected vehicle model and adjusts the locking mechanism accordingly, enabling the same physical mechanism to reliably handle diverse battery pack types through parameter adaptation
2Adaptability or versatility
If the battery swapping station supports multiple battery pack types, then the versatility of the station is improved, but the device complexity increases
Solution Approach 1:
The battery swapping station employs a universal locking mechanism that can perform multiple locking functions (latch, bolt, spinning types) through a single integrated device. The mechanism includes interchangeable locking components and adjustable structural elements that enable one physical system to handle various battery pack configurations, reducing the need for multiple specialized mechanisms while maintaining broad compatibility
Solution Approach 2:
The system introduces an image processing and recognition system as an intermediary between the vehicle and the locking mechanism. This intermediary captures images of the battery pack, identifies its type and configuration, and translates this information into appropriate locking parameters, thereby simplifying the control complexity by centralizing the decision-making process in an intelligent recognition layer
3Ease of operation
If manual identification of vehicle chassis features is used, then the ease of operation is improved, but the measurement precision of locking hole position deteriorates
Solution Approach 1:
The system replaces manual visual identification and physical measurement with an automated image processing system. A camera captures high-resolution images of the vehicle chassis and battery pack, and computer vision algorithms automatically detect and measure the locking hole position, center coordinates, and orientation. This substitution eliminates human error and provides precise measurements while maintaining ease of operation through automated processing
4Measurement precision
If automated vehicle identification is implemented, then the measurement precision of vehicle features is improved, but the loss of time in the battery swapping process increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing vehicle model information and battery pack specifications in a database before the actual swapping operation. When a vehicle arrives, the system quickly queries the database with detected features to retrieve pre-configured locking parameters and swapping procedures, avoiding time-consuming real-time calculations while maintaining high measurement precision through the initial image capture and analysis
Data Source
AI summary
The invention relates to the technical field of battery swapping for electric vehicles. A control method of a smart battery swapping station includes: acquiring vehicle information of a vehicle requiring battery swapping, and retrieving a model type of a corresponding battery pack locking and unlocking hole and specific parameters from a database; when the vehicle arrives at a battery swapping operation platform, capturing an image of a vehicle chassis to determine an initial pose of the vehicle chassis; processing the initial pose to extract center coordinates of the locking and unlocking hole and a normal vector direction of the locking and unlocking hole; comparing the center coordinates of the locking and unlocking hole and the normal vector direction of the locking and unlocking hole with the retrieved model type of battery pack locking and unlocking hole and specific parameters in the database to determine if the information is consistent.