Battery Cell Deterioration Detection at Charging and Discharging Ends
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Solution Overview
Problem
Existing battery cell detection methods fail to sufficiently reflect voltage changes during the calculation period, leading to inaccurate identification of deteriorated cells due to insufficient consideration of voltage differences caused by degradation or manufacturing defects, and result in excessive computational load and energy consumption.
Innovation Solution
The method detects deteriorated battery cells by analyzing voltage differences at the end time points of charging and discharging, using specific detection conditions based on State of Health (SOH) and cell specifications to minimize unnecessary computations and distinguish between normal and defective cell differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If voltage differences are calculated based on daily, monthly, and yearly periods using minimum, maximum, and average values, then the detection covers a long time span, but the computational load and energy consumption increase excessively
Solution Approach 1:
The patent extracts only the essential detection moments (charging end and discharging end) from the continuous voltage monitoring period, eliminating the need to calculate minimum, maximum, and average values over entire daily, monthly, or yearly periods. This extraction approach maintains long-term detection capability while dramatically reducing computational energy consumption by focusing only on critical transition points.
Solution Approach 2:
The patent performs preliminary identification of charging and discharging end moments using preset voltage change rate thresholds before conducting detailed voltage difference analysis. This preliminary action filters out unnecessary calculation periods in advance, enabling the system to maintain long detection coverage without the excessive computational burden of analyzing every time point throughout extended periods.
2Device complexity
If voltage differences are calculated using simple voltage difference as detection reference, then the detection method is simple, but it cannot distinguish between natural degradation differences and defective factors
Solution Approach 1:
The patent dynamically adjusts the voltage difference threshold based on the battery's State of Health (SOH) and usage conditions. Instead of using a fixed simple voltage difference reference, the system adapts the detection criteria according to the battery's actual state, enabling it to distinguish between natural degradation (which follows predictable patterns) and abnormal defective factors (which deviate from expected behavior).
Solution Approach 2:
The patent changes the detection parameters from simple voltage difference to a composite evaluation that includes voltage difference magnitude, voltage change rate, and comparison against SOH-based reference values. This parameter transformation maintains relative simplicity while significantly improving the ability to distinguish between natural degradation and defective factors by incorporating multiple dimensional information.
3Reliability
If all voltage data acquired every second is calculated over the entire battery operation period, then the detection is comprehensive, but the computational load becomes excessively large
Solution Approach 1:
The patent extracts only the critical voltage data points at charging end and discharging end moments from the continuous stream of second-by-second voltage measurements. By taking out only these essential moments for detailed analysis, the system maintains comprehensive detection of deterioration while reducing the computation amount from processing all seconds of operation to analyzing only the critical transition points.
Solution Approach 2:
The patent applies partial action by performing full computational analysis only at necessary moments (charging and discharging ends) rather than continuously analyzing all voltage data throughout the entire operation period. This selective partial analysis achieves sufficient detection reliability without the excessive computational burden of comprehensive continuous processing.
Data Source
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AI summary
The present invention discloses an apparatus and method for detecting a deteriorated battery cell including a measurement unit that measures a state of a battery, an estimation unit that estimates SOH of the battery, a diagnosis setting unit that sets a diagnosis start condition, a diagnosis section, and a determination condition of the deteriorated battery cell according to the SOH of the battery, a diagnosis performance decision unit that determines a detection performance condition of the deteriorated battery cell after an end of charging/discharging of the battery, and a deterioration determination unit that determines the deteriorated battery cell by calculating a voltage difference in the charging and discharging end section and comparing the measurement value with a set value.