Lithium Battery Li-Plating Detection via Charge-Discharge Score Fusion
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Solution Overview
Problem
Existing methods for detecting lithium plating (Li-plating) in lithium batteries are destructive and inefficient, making them unsuitable for large-scale implementation, particularly in vehicles.
Innovation Solution
A non-destructive method for detecting Li-plating in lithium batteries involves charging and discharging the battery at a preset current, collecting correlation parameters, calculating detection scores based on charge-discharge cycles and voltage capacity, and determining a fused detection score to indicate the presence of Li-plating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If disassembly method is used to detect Li-plating, then detection accuracy is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent replaces the mechanical disassembly method with an electrochemical detection method using differential voltage curves and capacity analysis. The system uses voltage and capacity data collected during normal charge-discharge cycles to calculate detection scores, eliminating the need for physical disassembly while maintaining detection capability through mathematical analysis of electrochemical parameters.
Solution Approach 2:
The patent introduces differential voltage curves and capacity values as intermediary parameters to detect Li-plating. Instead of directly observing physical dendrites through disassembly, the system uses these calculated parameters as mediators that reflect the underlying electrochemical changes caused by Li-plating, enabling indirect but accurate detection.
2Measurement precision
If disassembly method is used to detect Li-plating, then detection accuracy is improved, but productivity decreases
Solution Approach 1:
The patent enables continuous detection during normal battery operation by collecting voltage and capacity data throughout charge-discharge cycles. The detection process occurs continuously without interrupting battery usage, and multiple detection scores can be calculated from accumulated data, transforming a previously discontinuous, time-consuming process into a continuous efficient operation.
Solution Approach 2:
The patent performs preliminary data collection during routine battery charge-discharge cycles, accumulating voltage and capacity information before Li-plating becomes severe. By continuously monitoring and calculating detection scores from this preliminary data, the system can detect Li-plating early without requiring time-consuming disassembly procedures.
3Reliability
If multiple detection scores are calculated and fused, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the detection process into multiple independent detection scores, each evaluating different aspects of Li-plating (e.g., first detection score from differential voltage curve, second detection score from capacity analysis, third detection score from other parameters). This segmentation allows each score to focus on specific detection dimensions while maintaining computational simplicity, and the final fused score combines these independent evaluations.
Solution Approach 2:
The patent merges multiple detection scores into a single fused detection score through a systematic combination method. By integrating results from different detection approaches (differential voltage analysis, capacity analysis, and other parameters), the system achieves comprehensive and reliable Li-plating detection while managing complexity through structured data fusion.
Data Source
AI summary
A method, an apparatus and device, and a computer-readable storage medium for detecting Li-plating in a lithium battery. The method for detecting Li-plating in a lithium battery includes: charging and discharging the lithium battery to be detected at a preset current, and collecting correlation parameters of the lithium battery during the charging and discharging; acquiring a current number of charge-discharge cycles of the lithium battery; calculating a plurality of detection scores for detecting whether there is Li-plating in the lithium battery based on the current number of charge-discharge cycles and the correlation parameters; and determining a fused detection score based on the plurality of detection scores, and determining that there is Li-plating in the lithium battery if the fused detection score exceeds a fused detection threshold.