Battery Resistance-Voltage Profiling for Early Abnormality Detection
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Solution Overview
Problem
Existing battery diagnosis methods are inadequate for detecting abnormalities in a non-destructive manner, which can lead to performance degradation, fire, and explosion risks due to internal gas buildup and electrode imbalance.
Innovation Solution
An apparatus and method that utilize resistance and voltage profiling to generate a correspondence relationship, setting a criterion range to diagnose battery abnormalities by comparing resistance values against a criterion line and threshold, allowing for real-time, non-destructive assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery diagnosis is performed using traditional methods, then battery state can be assessed, but the diagnosis may be destructive and cannot detect early abnormalities
Solution Approach 1:
The patent replaces traditional destructive mechanical/electrical testing methods with an electrical resistance measurement system. By measuring resistance changes during charging/discharging cycles and comparing them against reference profiles, the system diagnoses battery state without physical destruction or invasive sampling, thus resolving the contradiction between diagnosis accuracy and non-destructive measurement.
2Measurement precision
If resistance measurement is performed frequently to monitor battery state, then early abnormalities can be detected, but measurement errors may lead to misdiagnosis
Solution Approach 1:
The patent implements a feedback mechanism where measured resistance values are continuously compared against reference resistance profiles generated from healthy batteries. The system uses this feedback to identify deviations indicating abnormalities, while the reference profile acts as a corrective standard that compensates for measurement errors, ensuring accurate diagnosis even with noisy measurements.
Solution Approach 2:
The system performs preliminary action by pre-generating reference resistance profiles from healthy batteries before actual diagnosis. These reference profiles serve as baseline expectations, allowing the system to detect deviations from normal behavior patterns, thereby improving measurement precision while compensating for potential measurement errors through established normative data.
3Reliability
If detailed profile analysis is conducted to improve diagnosis accuracy, then abnormality detection improves, but processing time and complexity increase
Solution Approach 1:
The patent extracts the essential diagnostic information by focusing solely on resistance measurements and their comparison against reference profiles, rather than analyzing multiple parameters simultaneously. This extraction approach simplifies the diagnostic process to a single critical metric (resistance deviation from reference), reducing computational complexity while maintaining high diagnostic accuracy for detecting battery abnormalities.
Data Source
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AI summary
An apparatus for diagnosing a battery according to an embodiment of the present disclosure may include a data obtaining unit configured to obtain a resistance value and a voltage value of a battery; a profile generating unit configured to generate a profile representing a correspondence relationship between the resistance value and the voltage value of the battery obtained by the data obtaining unit; and a control unit configured to set a criterion range in the profile received from the profile generating unit and diagnose whether an abnormality has occurred in the battery based on the result of comparing the resistance value of the battery and the criterion range.