Lithium Precipitation Detection via Voltage Inflection Grading
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Solution Overview
Problem
Current methods for detecting lithium precipitation in lithium batteries are non-destructive but lack predictability and fail to provide real-time monitoring of internal physical parameters, often requiring disassembly and relying on discrete data with potential omissions.
Innovation Solution
A method and system that acquire voltage-time data, perform feature extraction, identify inflection points, and grade their occurrence to detect lithium precipitation, using a combination of data feature extraction and electrochemical models to establish a log and threshold system for early warning and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional disassembly method is used to detect lithium precipitation, then detection accuracy is improved, but operational complexity and time loss increase
Solution Approach 1:
The patent replaces the mechanical disassembly system with an electrochemical detection system. By using voltage-time data analysis and inflection point detection during normal charging/discharging operations, the system identifies lithium precipitation without physical disassembly. The method substitutes direct mechanical inspection with indirect electrochemical measurement, maintaining detection accuracy while eliminating operational complexity.
Solution Approach 2:
The patent introduces voltage-time data as an intermediary to detect lithium precipitation. Instead of directly observing the precipitated lithium through disassembly, the system uses voltage changes during charging/discharging as a mediator to indirectly detect the presence and amount of lithium precipitation. This intermediary approach enables non-invasive detection while maintaining measurement precision.
2Measurement precision
If traditional disassembly method is used to detect lithium precipitation, then detection accuracy is improved, but time consumption increases
Solution Approach 1:
The patent performs preliminary detection during normal charging and discharging operations. By continuously monitoring voltage-time data and identifying inflection points in real-time, the system detects lithium precipitation as it occurs or in its early stages, rather than waiting for disassembly time. This preliminary action approach reduces time loss by enabling early detection without requiring subsequent disassembly procedures.
Solution Approach 2:
The patent replaces time-consuming mechanical disassembly with rapid electrochemical measurement. The voltage-time data analysis method processes information electronically in real-time during normal battery operation, eliminating the time required for physical disassembly, inspection, and reassembly. This substitution dramatically reduces detection time while maintaining accuracy.
3Device complexity
If existing non-destructive method based on voltage time minimum value is used, then operational complexity is reduced, but measurement precision deteriorates due to discrete data and omissions
Solution Approach 1:
The patent transitions from static discrete voltage sampling to dynamic continuous voltage-time curve analysis. By monitoring the continuous voltage变化 during charging and discharging and identifying inflection points on the voltage-time curve, the system captures real-time electrochemical behavior. This dynamic approach eliminates data omissions and improves detection precision while maintaining low operational complexity through automated curve analysis.
Solution Approach 2:
The patent employs periodic charging and discharging cycles to generate sufficient voltage-time data for inflection point detection. By conducting multiple charge-discharge cycles and analyzing the voltage responses, the system accumulates enough information to accurately detect lithium precipitation. This periodic action ensures sufficient data density without requiring excessively frequent sampling, balancing precision with operational simplicity.
4Device complexity
If existing non-destructive method based on equivalent circuit model is used, then operational complexity is reduced, but information completeness deteriorates as no internal physical parameters are provided
Solution Approach 1:
The patent changes from using equivalent circuit parameters to using electrochemical parameters (voltage-time inflection points) for detection. By analyzing the inflection points on voltage-time curves during charging and discharging, the system extracts meaningful electrochemical information about lithium precipitation. This parameter change provides direct insight into internal physical states while maintaining operational simplicity through automated curve analysis.
Solution Approach 2:
The patent uses voltage-time data as an intermediary to access internal physical parameters. Instead of relying on equivalent circuit models that require prior experimental data and cannot directly provide internal state information, the system uses voltage changes during normal operation as a mediator to indirectly measure internal lithium precipitation. This approach provides complete information about internal physical states without complex modeling.
Data Source
AI summary
The invention discloses method system for detecting lithium precipitation of lithium batteries. The method includes acquiring voltage-time data of lithium batteries of a battery module; performing feature extraction on the voltage-time data to obtain voltage-time data of charging and discharging in accordance with a preset range; performing an inflection point judgment on the voltage-time data of the charging and discharging; determining that there exists the inflection point, and grading the inflection point time when the inflection point occurs; and detecting an amount of lithium precipitation of the lithium batteries based on the grade of the inflection point time. The method combines data feature extraction and electrochemical model in big data and establishes a series of log and threshold system to detect and monitor lithium precipitation and early warn for lithium batteries.