Battery Component Fault Diagnosis for Short-Duration Abnormal States
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional battery system diagnosing apparatuses face challenges in detecting minor failures due to long maintenance times, leading to missed detections, and misidentifying noise signals as failures due to short maintenance times, resulting in reduced reliability and difficulty in preemptive diagnosis.
Innovation Solution
A diagnosing method and apparatus that monitor abnormal states in battery components, measure the duration of these states, and apply early stage diagnosis conditions to determine failures based on thresholds and conditions satisfied during shorter-than-reference time durations, enabling preemptive detection of component failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If multiple battery modules are connected in series to increase output voltage, then the output voltage is improved, but the risk of abnormal heat generation and the need for complex cooling systems increase
Solution Approach 1:
The patent replaces the mechanical/physical cooling system with a field-based diagnostic approach. By using magnetic field sensing to detect battery abnormalities early, the system prevents the need for complex cooling infrastructure while maintaining safe operation at high voltages.
Solution Approach 2:
The diagnostic system enables the battery pack to monitor and diagnose its own health status through integrated magnetic field sensors and control circuits. This self-diagnosis capability allows early detection of abnormalities without requiring external complex monitoring equipment or active cooling intervention.
2Quantity of substance
If battery modules are closely arranged to increase energy density, then the energy density is improved, but the risk of heat accumulation and abnormal temperature increase worsens
Solution Approach 1:
The system performs preliminary detection of battery abnormalities using magnetic field sensing before temperature issues manifest. By detecting changes in internal resistance and cell health early through magnetic field variations, the system can identify potential heating problems before they lead to temperature uniformity issues, enabling preventive maintenance or operation adjustments.
3Measurement precision
If advanced diagnostic methods are used to improve diagnosis accuracy, then the diagnosis precision is improved, but the device complexity and cost increase
Solution Approach 1:
The patent substitutes complex mechanical testing equipment and invasive diagnostic procedures with magnetic field sensing technology. The magnetic field sensors detect electrical characteristics and internal resistance changes non-invasively, achieving high diagnostic precision without requiring disassembly of battery modules or complex physical test setups.
Solution Approach 2:
The system uses magnetic field sensing as an intermediary to indirectly measure battery health parameters. Instead of directly measuring internal resistance or cell chemistry, the magnetic field acts as a mediator that translates internal battery states into detectable external signals, simplifying the diagnostic apparatus while maintaining accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-performance, high-precision, and high-reliability diagnosis of battery system components by detecting failures at an early stage, even for temporary abnormal states, improving reliability and efficiency.
Implementation Method 1
a magnetic field sensor arranged to detect a magnetic field generated by current through the battery module
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A diagnosis device and method for diagnosing whether a component included in a battery system fails, according to an embodiment of the present invention, monitor, on the basis of abnormal state data on the component, whether an abnormal state of the component occurs, measure a maintenance time of an abnormal state when the abnormal state occurs in the component, so as to compare the maintenance time and a preset reference time, check, on the basis of the maintenance time, whether preset early diagnosis conditions are satisfied if the maintenance time is less than the reference time, and determine, on the basis of whether the early diagnosis conditions are satisfied, whether the component fails, and thus provided are a high-performance, high-precision, high-efficiency and high-reliability diagnosis device and method, which diagnose early whether a failure has occurred so as to preemptively respond even to temporary abnormal state data that is less than the preset reference time.