Battery State Classification From OCV and Resistance Deviation Patterns
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Solution Overview
Problem
Current methods fail to accurately diagnose the state of batteries, including side reaction degradation, resistance increase, and resistance decrease states, without disassembling them, limiting the estimation of battery health and lifespan.
Innovation Solution
A battery diagnosing apparatus and method that calculates voltage and resistance deviations, using a controller to diagnose the battery state based on voltage and resistance patterns, allowing for non-destructive classification into side reaction, resistance increase, or resistance decrease states, and adjusts charging and discharging parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery state is diagnosed using only voltage, current and capacity measurements, then the measurement process is simple, but the diagnosis accuracy is insufficient
Solution Approach 1:
The patent introduces an equivalent circuit model as an intermediary between raw measurements and battery state diagnosis. The model includes internal resistance, open-circuit voltage, and state of charge parameters that translate simple voltage and current measurements into comprehensive battery state information without requiring complex disassembly or additional sensors
Solution Approach 2:
The patent transforms basic voltage and current measurements into derived parameters including internal resistance, open-circuit voltage, and state of charge. By changing the parameter representation from raw measurements to physically meaningful derived parameters, the system achieves accurate diagnosis while maintaining measurement simplicity
2Measurement precision
If battery is disassembled for accurate state testing, then diagnosis accuracy improves, but the operation complexity and time increase
Solution Approach 1:
The patent enables the battery to self-diagnose its state through measurements taken during normal operation. The equivalent circuit model uses voltage and current data already present during charging and discharging to calculate internal resistance, open-circuit voltage, and state of charge without requiring external disassembly or specialized testing equipment
Solution Approach 2:
The patent performs preliminary calculations of battery parameters during normal operation rather than requiring separate testing procedures. By continuously monitoring voltage and current and calculating derived parameters in real-time, the system prepares diagnosis information proactively without interrupting battery usage
3Loss of information
If detailed battery state classification is implemented, then the diagnostic information quality improves, but the data processing complexity increases
Solution Approach 1:
The patent segments battery state diagnosis into distinct categories: side reaction degradation state, resistance increase state, and resistance decrease state. Each category is identified by comparing specific parameter relationships (voltage deviation patterns, resistance change trends) rather than requiring complex continuous analysis, simplifying the processing while maintaining comprehensive diagnostic coverage
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise battery state diagnosis and extends battery lifespan by optimizing charging and discharging based on diagnosed states, improving battery management and health estimation.
Implementation Method 1
calculate a voltage deviation between a threshold open circuit voltage (OCV) corresponding to the battery and a measured OCV of the battery
Implementation Method 2
calculate a resistance deviation between a threshold resistance corresponding to the battery and an estimated resistance based on a measured voltage and a measured current of the battery
Data Source
AI summary
A battery diagnosing apparatus includes a measuring unit configured to measure a current, a voltage and an OCV of a battery a resistance estimating unit configured to estimate a resistance of the battery based on the current and the voltage measured by the measuring unit and a control unit configured to calculate a voltage deviation for a criterion OCV set to correspond to the battery and the OCV measured by the measuring unit, calculate a resistance deviation for a criterion resistance set to correspond to the battery and the resistance estimated by the resistance estimating unit, and diagnose a state of the battery based on a voltage increase/decrease pattern for the voltage deviation and a resistance increase/decrease pattern for the resistance deviation.