Battery Characteristic Profile Detection for Counterfeit Identification
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Solution Overview
Problem
Counterfeit and defective batteries pose risks to portable electronic devices and users due to their failure to meet safety and performance standards, often resulting in damage or bodily injury, and existing methods lack effective detection mechanisms.
Innovation Solution
A system within mobile devices that compares actual battery characteristic profiles generated during use with expected profiles to determine if a battery is counterfeit or defective, using computer executable instructions to apply loads and record performance data, and then compares this data against stored expected profiles to identify discrepancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If counterfeit batteries are used to reduce cost, then device cost is reduced, but safety and reliability are compromised
Solution Approach 1:
The system performs preliminary detection of battery authenticity and health status before the battery is fully integrated into operation. The device includes a battery detection module that executes detection algorithms to verify battery characteristics against known profiles, preventing unsafe batteries from causing harm before they can compromise device reliability
Solution Approach 2:
The patent introduces a battery detection module as an intermediary component between the battery and the device's power management system. This module acts as a mediator that analyzes battery characteristics, compares them against expected profiles, and determines whether the battery is counterfeit or defective before allowing full integration, thus protecting the system without requiring physical modification of the battery itself
2Reliability
If battery detection mechanisms are implemented, then battery safety and reliability are improved, but device complexity increases
Solution Approach 1:
The battery detection module is designed to perform multiple functions: it detects counterfeit batteries, assesses battery health status, monitors charge cycles, and provides user notifications. By consolidating these diverse detection and monitoring capabilities into a single multi-functional module, the system achieves comprehensive battery safety without proportionally increasing device complexity
Solution Approach 2:
The detection system is designed to operate autonomously, with the battery detection module automatically executing detection algorithms, comparing battery characteristics against stored profiles, and making determinations about battery authenticity without requiring manual user intervention. The system self-manages the entire detection process, reducing the operational complexity burden on the user
3Measurement precision
If battery characteristic profiling is performed, then detection accuracy is improved, but measurement and data processing complexity increases
Solution Approach 1:
The battery characteristic profiling process is segmented into distinct measurement phases and parameter categories. The system divides battery characteristics into multiple measurable parameters and compares each against corresponding expected values in the profile, breaking down the complex measurement task into manageable segments that can be processed and evaluated systematically
Solution Approach 2:
The patent transforms the complex problem of battery authenticity verification into comparisons of specific electrical parameters such as voltage, current, and resistance characteristics. By changing the measurement approach to focus on quantifiable electrical parameters rather than holistic assessment, the system achieves high detection accuracy while simplifying the measurement and comparison process
Data Source
AI summary
Systems and methods are disclosed for detecting whether a battery in an electronic device is counterfeit or defective. An actual battery characteristic profile is generated by recording the performance of the battery during use of the battery by the device. This profile is then compared to its corresponding expected characteristic profile. If the profiles are not substantially similar (i.e. if the error between the two curves exceeds a given error threshold), the battery is determined to be counterfeit or defective and responsive action is taken.