Electrode Profile Matching for Non-Destructive Battery Diagnosis
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Solution Overview
Problem
Current secondary battery diagnosis techniques are complex and lack accuracy, making it difficult to predict the state of charge, usable time, and lifespan of lithium secondary batteries, and to identify defects during manufacturing or degradation during use.
Innovation Solution
A secondary battery diagnosing apparatus and method that uses charge and discharge signals to diagnose the state of a battery by comparing measured voltage profiles with reference profiles, adjusting these profiles to minimize errors, and estimating electrode adjustments to determine the battery's capacity and internal resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional battery diagnosis techniques are used, then battery state can be assessed, but the calculation method is complex and accuracy is low
Solution Approach 1:
The patent extracts and compares only the essential voltage profile characteristics (charge and discharge curves) from battery operation data, eliminating the need for complex multi-parameter analysis. By focusing on the fundamental voltage-time relationships during charging and discharging, the system achieves accurate diagnosis through simple profile matching and comparison algorithms.
Solution Approach 2:
The patent creates reference voltage profiles from batteries with known good performance and copies these ideal patterns for comparison against actual battery measurements. This copying approach allows the system to diagnose battery health by matching measured profiles against stored reference profiles, achieving high accuracy without complex calculations.
2Measurement precision
If detailed battery analysis is performed to improve diagnosis accuracy, then more memory storage and processing capacity are required
Solution Approach 1:
The patent extracts only the essential voltage profile data during battery operation, storing and comparing minimal necessary information (voltage-time curves during charge and discharge). This extraction approach reduces memory requirements to just the reference profiles and current measurement data, eliminating the need for large-scale data storage while maintaining diagnostic accuracy.
Solution Approach 2:
Instead of storing extensive battery data and performing complex analysis, the patent inverts the approach by storing simple reference profiles and comparing actual measurements against these references. This inversion reduces computational burden and memory requirements while achieving accurate diagnosis through pattern matching.
3Reliability
If conventional diagnosis methods are used, then battery defects can be identified, but the process requires battery disassembly
Solution Approach 1:
The patent enables the battery to diagnose its own state through voltage measurements taken during normal charge and discharge operations. The battery system performs self-diagnosis by comparing its own voltage profiles against reference profiles, identifying defects without requiring external disassembly or intervention. This self-service approach maintains reliability while dramatically improving ease of operation.
Solution Approach 2:
The patent replaces mechanical disassembly and physical inspection methods with electrical measurement and computational analysis. By substituting voltage profile analysis for physical battery opening and component inspection, the system achieves reliable defect identification while maintaining complete battery integrity and operational convenience.
Data Source
AI summary
A secondary battery diagnosing technology capable of effectively diagnosing a state of a secondary battery using a charge and discharge signal of the secondary battery, including a memory unit configured to store a positive electrode reference profile and a negative electrode reference profile for charge or discharge of a reference battery, a voltage measuring unit configured to measure a voltage of a target battery during a charge or discharge process, and a processor configured to generate a charge and discharge measurement profile based on the voltage, compare a simulation profile obtained from the positive electrode reference profile and the negative electrode reference profile with the generated charge and discharge measurement profile, and determine a positive electrode adjustment profile and a negative electrode adjustment profile so that an error between the simulation profile and the charge and discharge measurement profile is within a predetermined level.