Battery Profile Segmentation for Electrode Deterioration Diagnosis
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Solution Overview
Problem
Existing battery technologies lack accurate methods for diagnosing the state of batteries, particularly in terms of electrode deterioration and end-of-life conditions, which are crucial for enhancing safety and lifespan.
Innovation Solution
A battery diagnosing apparatus and method that acquires a battery profile, divides it into sections, derives target indices such as differential capacity peaks and resistance, and compares these with a reference profile to diagnose states like electrode deterioration and end-of-life, adjusting charging parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery diagnosis is performed using conventional methods, then the diagnosis process is simple, but the diagnosis precision is insufficient to accurately identify electrode deterioration states
Solution Approach 1:
The patent divides the battery capacity range into multiple sections (first section: 0-50% capacity, second section: 50-100% capacity) and performs separate differential capacity analysis on each section. This segmentation allows identification of electrode-specific deterioration patterns that would be obscured in a full-capacity analysis, thereby improving diagnosis precision without requiring complex additional hardware.
Solution Approach 2:
The patent transforms the conventional single-dimension capacity-voltage analysis into a two-dimensional differential capacity analysis by calculating dQ/dV values. This dimensional transformation reveals subtle peaks and patterns in the differential capacity curves that indicate specific electrode deterioration states, significantly enhancing diagnostic capability while maintaining software-based implementation.
2Use of energy by moving object
If battery capacity is increased to improve performance, then energy density increases, but electrode deterioration accelerates reducing lifespan
Solution Approach 1:
The patent performs preliminary diagnosis by analyzing differential capacity peaks before significant deterioration occurs. By identifying early signs of electrode degradation through peak position and intensity analysis in the dQ/dV curves, the system can predict remaining lifespan and recommend maintenance actions before the battery reaches failure conditions, thereby extending usable lifespan while maintaining high energy density operation.
Solution Approach 2:
The patent establishes a feedback mechanism that continuously monitors battery state through differential capacity analysis and provides real-time information about electrode health. This feedback enables dynamic adjustment of charging parameters and usage patterns to optimize the balance between energy utilization and lifespan preservation, allowing the battery to operate at high energy density without accelerating deterioration.
Data Source
AI summary
A battery diagnosing apparatus according to one embodiment of the present disclosure includes: a profile acquisition unit that acquires a battery profile representing a correspondence between a voltage and a capacity of a battery; and a control unit that divides a capacity section of the battery profile into a plurality of sections, derives a target value for one target index related to a differential capacity peak or a resistance among a plurality of diagnosis indices set in advance, from each of the divided sections, compares a correspondence between the derived plurality of target values with a preset reference profile that represents a correspondence between a plurality of target indices, and diagnoses a state of the battery based on a result of the comparison.