Lithium Battery Early Warning Method Using Voltage-Electric Quantity Curves
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Solution Overview
Problem
Lithium batteries in consumer electronic devices can unexpectedly enter abnormal states, such as self-combustion or explosion, due to improper operation or storage conditions, posing hazards to users.
Innovation Solution
An early warning method that monitors lithium battery voltage and electric quantity curves, measuring current consumption and comparing it to stored reference data to detect potential abnormal states, sending warnings to users before dangerous conditions arise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring of voltage and electric quantity is implemented, then safety against abnormal states is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple voltage-electric quantity curves corresponding to different current consumption states before actual use. These reference curves are stored in the device memory, allowing the system to compare real-time measurements against pre-prepared safety thresholds without performing complex real-time calculations, thus improving safety while minimizing added complexity
Solution Approach 2:
The patent uses copying by creating simplified reference models (voltage-electric quantity curves) that represent normal battery behavior under different conditions. Instead of implementing complex physical or chemical monitoring systems, the invention copies the expected operational patterns into lookup tables that can be quickly compared against actual measurements, achieving reliable abnormal state detection with minimal hardware overhead
2Measurement precision
If multiple voltage-electric quantity curves for different current consumption states are stored, then measurement precision for detecting abnormal states is improved, but memory requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the battery operational space into multiple current consumption states, with each state having its own dedicated voltage-electric quantity curve. This segmentation allows the system to achieve high detection precision for each specific operational mode while keeping the data storage requirements manageable by organizing curves in a structured, state-based manner rather than storing all possible operational data
Data Source
AI summary
An early warning method for an abnormal state of a lithium battery and a recording medium applicable to a portable electronic device are provided. The method includes the following steps. A plurality of curves of voltage against electric quantity is obtained according to different predicted average current consumptions of the portable electronic device. An operating average current consumption and an operating electric quantity from a first voltage to a second voltage are obtained when the lithium battery at an operating test state in a unit time. One of the curves of voltage against electric quantity is searched, and a warning electric quantity is obtained in a range from the first voltage to the second voltage. The warning electric quantity is compared with the electric quantity, so as to provide an early warning of an abnormal state.