Lithium Battery Li-Plating Detection Using Fused Cycle Scores
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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 new energy vehicles.
Innovation Solution
A method involving charging and discharging the lithium 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 non-destructively detect Li-plating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If disassembly method is used for Li-plating detection, then detection accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent replaces the mechanical disassembly approach with an electrochemical detection system that uses voltage and capacity data collected during normal charge-discharge cycles. The detection unit processes electrical parameters to identify Li-plating without physical intervention, thereby improving operational ease while maintaining detection capability through computational analysis of voltage-capacity relationships.
2Measurement precision
If disassembly method is used for Li-plating detection, then detection accuracy is improved, but productivity decreases
Solution Approach 1:
The detection system operates continuously during normal battery charge-discharge cycles, collecting voltage and capacity data without interrupting battery operation. This enables simultaneous detection and battery usage, dramatically improving productivity compared to stop-intensive disassembly methods while maintaining accurate detection through ongoing data accumulation and analysis.
Solution Approach 2:
The battery performs its own detection during normal operation by generating the necessary voltage and capacity data during charge-discharge cycles. The detection system utilizes the battery's inherent operational characteristics to self-diagnose Li-plating conditions, eliminating the need for separate detection procedures or external intervention, thereby enhancing detection efficiency.
3Reliability
If multiple detection scores are calculated and fused, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The detection system segments the detection process into distinct scoring components: voltage-based detection score, capacity-based detection score, and rate-based detection score. Each score addresses specific aspects of Li-plating detection independently. The fusion unit then integrates these segmented scores to produce a comprehensive detection result, improving reliability through multi-dimensional analysis while managing complexity through modular architecture.
Solution Approach 2:
The detection system uses a unified data collection and processing framework that serves multiple detection purposes simultaneously. The same voltage and capacity data collected during battery operation are used to generate multiple detection scores through different calculation methods. This multi-functional approach improves detection reliability by examining Li-plating from multiple angles while avoiding the complexity of separate dedicated measurement systems.
Data Source
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AI summary
The present disclosure provides 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.