MSCC-CV Charging Zones for Battery EOL and Short-Circuit Detection
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Solution Overview
Problem
Existing battery analysis methods fail to accurately predict early-stage short circuits and end of life (EOL) in lithium-ion batteries, requiring extensive training data, complex computations, and specialized probes, making them impractical for on-device implementation, especially in portable devices.
Innovation Solution
A multi-stage constant-current constant-voltage (MSCC-CV) charging protocol is used to segregate battery zones, allowing for early detection of short circuits and EOL by analyzing charge capacities in different zones, classifying resistances, and determining state of health (SOH) without needing specialized probes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If typical ML models are used to analyze battery data, then battery performance prediction capability is improved, but device complexity and computational requirements increase significantly
Solution Approach 1:
The patent extracts only the essential charging profile parameters (current, voltage, time) and battery responses (charge capacity, temperature) from the complex battery system. By focusing on these key extracted parameters during charging zones, the system achieves accurate EOL and short circuit prediction without requiring complex ML models or extensive computational resources, thus resolving the contradiction between prediction capability and device complexity
Solution Approach 2:
The system uses the battery's own charging profile and response characteristics to predict its end of life and detect short circuits. The charging profile itself serves as the diagnostic tool, eliminating the need for external specialized probes or complex measurement systems. This self-service approach enables accurate prediction while minimizing device complexity and computational overhead
2Measurement precision
If specialized probes and extensive training data are used for battery analysis, then measurement precision is improved, but ease of manufacture and device implementation deteriorate
Solution Approach 1:
The patent makes the charging profile analysis system universal by using only standard charging parameters (current, voltage, time) that are already being monitored for normal battery operation. The same charging data serves dual purposes: normal charging control and EOL/short circuit detection, eliminating the need for specialized probes or separate measurement systems. This multi-functionality greatly simplifies device implementation while maintaining high measurement precision
Solution Approach 2:
The battery monitoring system uses its own existing charging profile data to perform diagnostics. The system serves itself by extracting diagnostic information from the charging process data that is already being collected for normal operation, eliminating the need for external specialized measurement equipment and simplifying manufacturing and implementation
3Reliability
If early stage short circuit detection is implemented, then reliability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent uses charge capacity as an intermediary parameter to indirectly detect short circuits. Instead of directly measuring difficult-to-obtain short resistance values, the system analyzes the charging profile and charge capacity responses, which are easier to measure. This intermediary approach translates difficult-to-measure short circuit characteristics into measurable charging parameters, enabling early detection while reducing measurement difficulty
Solution Approach 2:
The system replaces direct electrical resistance measurement with a computational analysis of charging profile parameters. Instead of using complex electrical measurement techniques to directly assess short resistance, the system substitutes a computational approach that analyzes current, voltage, and time relationships during charging, making early short circuit detection easier and more practical
Data Source
AI summary
A processor-implemented method including determining a plurality of zones associated with a current charging profile of a battery of an electronic device by utilizing a multi-stage constant-current constant voltage (MSCC-CV) charging protocol, segregating the determined plurality of zones into a first zone, a second zone, and a third zone, based on a preset criterion, and determining, based on information associated with one or more of the first zone, the second zone, and the third zone, one or more of an end of life (EOL) of the battery, a short circuit of the battery, and a state of health (SOH) of the battery to determine performance of the battery.


