Battery Cell Short-Circuit Detection Through Voltage Model Deviation
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Solution Overview
Problem
Existing methods for detecting critical states in battery cells, such as internal short circuits, require complex and expensive measurement technologies, making them inefficient for early and reliable detection.
Innovation Solution
A method using a monitoring device that compares measured voltages with modeled voltages to detect changes, allowing for the reliable and rapid identification of critical states by forming comparison signals and evaluating them individually and collectively across battery cells, thereby reducing the need for extensive sensor systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex sensor devices with numerous sensors are used to detect critical battery conditions, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual model (copy) of the battery cell's expected behavior through mathematical modeling. Instead of using numerous physical sensors to measure every parameter, the system creates a simulated voltage curve based on known battery characteristics and operating conditions, then compares this model against actual measurements to detect deviations indicating critical states.
Solution Approach 2:
The patent replaces the mechanical/physical sensor system with a computational approach. Rather than relying on complex arrays of physical sensors to detect all critical parameters, the system uses mathematical models and signal processing to infer battery state, substituting computational analysis for extensive physical measurement infrastructure.
2Reliability
If numerous and expensive sensors are deployed for early detection of internal short circuits, then detection reliability improves, but manufacturing cost increases
Solution Approach 1:
The system creates a virtual representation of battery behavior through mathematical modeling, allowing reliable detection of critical states without requiring expensive physical sensor arrays. The model serves as a cost-effective substitute for multiple sophisticated sensors.
Solution Approach 2:
The patent employs simple, low-cost voltage measurements combined with computational analysis rather than expensive, complex sensor systems. The approach uses basic electrical measurements that can be made with inexpensive components, making the detection system economically viable for mass production.
3Measurement precision
If complex measurement technologies are used, then detection precision improves, but ease of operation decreases
Solution Approach 1:
The system uses a mathematical model that automatically generates the expected voltage curve based on battery parameters and operating conditions. This model-based approach simplifies operation because the system self-adjusts to different battery states without requiring complex manual configuration or calibration procedures.
Solution Approach 2:
The monitoring system performs self-calibration and adaptation through the mathematical model, which automatically adjusts to the specific battery characteristics. The model continuously predicts expected behavior and compares it with actual measurements, eliminating the need for manual intervention or complex operational procedures.
Data Source
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AI summary
Method (100) for detecting a critical state in at least one cell of a battery, wherein a monitoring device (10) is provided, and said monitoring device (10) detects a measured voltage (110) on the battery cell and determines a modeled voltage (120) from a model.