Battery Component Fault Diagnosis With Early Abnormal-State Timing
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Solution Overview
Problem
Conventional battery system diagnosing apparatuses face challenges in detecting minor component failures due to long preset maintaining times and misdetecting noise signals as failures due to short times, leading to reduced reliability and difficulty in preemptive diagnosis.
Innovation Solution
The proposed apparatus and method for diagnosing a battery system involve monitoring components for abnormal states, measuring the duration of these states, and comparing it to a preset reference time. If the duration is shorter than the reference time, the method determines if an early stage diagnosis condition is met, allowing for preemptive failure detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the maintaining time is set to be long, then noise signals are not misdetected as failures (reliability improves), but minor failures in components cannot be detected (diagnosis capability deteriorates)
Solution Approach 1:
The patent segments the diagnosis process into two distinct modes: early stage diagnosis mode for detecting minor failures with shorter maintaining time, and normal diagnosis mode for confirming failures with longer maintaining time. This segmentation allows the system to optimize detection sensitivity without compromising reliability, as each mode operates with appropriate time thresholds for its specific diagnostic purpose.
Solution Approach 2:
The patent dynamically adjusts the maintaining time threshold based on the diagnosis mode. In early stage diagnosis mode, a shorter maintaining time is applied to detect minor failures, while in normal diagnosis mode, a longer maintaining time is used to confirm failures and avoid noise detection. This dynamic adjustment resolves the contradiction by adapting the time parameter to the specific diagnostic needs.
2Measurement precision
If the maintaining time is set to be short, then minor failures can be detected (diagnosis capability improves), but noise signals are misdetected as failures (reliability deteriorates)
Solution Approach 1:
The patent segments the diagnosis process into two distinct modes: early stage diagnosis mode for detecting minor failures with shorter maintaining time, and normal diagnosis mode for confirming failures with longer maintaining time. This segmentation allows the system to optimize detection sensitivity without compromising reliability, as each mode operates with appropriate time thresholds for its specific diagnostic purpose.
Solution Approach 2:
The patent dynamically adjusts the maintaining time threshold based on the diagnosis mode. In early stage diagnosis mode, a shorter maintaining time is applied to detect minor failures, while in normal diagnosis mode, a longer maintaining time is used to confirm failures and avoid noise detection. This dynamic adjustment resolves the contradiction by adapting the time parameter to the specific diagnostic needs.
3Ease of operation
If conventional diagnosis methods are used, then the system is simple to operate, but preemptive diagnosis is difficult (diagnostic capability deteriorates)
Solution Approach 1:
The patent implements preliminary action by introducing an early stage diagnosis mode that detects minor failures before they develop into major failures. This preliminary detection capability allows preemptive diagnosis and maintenance, improving diagnostic capability while maintaining ease of operation through automated mode switching and clear diagnostic indicators.
Solution Approach 2:
The patent dynamically adjusts the maintaining time threshold based on the diagnosis mode. In early stage diagnosis mode, a shorter maintaining time is applied to detect minor failures, while in normal diagnosis mode, a longer maintaining time is used to confirm failures and avoid noise detection. This dynamic adjustment resolves the contradiction by adapting the time parameter to the specific diagnostic needs.
Data Source
AI summary
A diagnosing apparatus and method for diagnosing a failure of a component included in a battery system may monitor whether an abnormal state of the component occurs based on abnormal state data of the component, upon abnormal state occurring in the component, measure a time duration for which the abnormal state is maintained, compare the time duration for which the abnormal state is maintained to a preset reference time duration, and, upon the time duration for which the abnormal state is maintained being shorter than the reference time duration, check whether a predetermined early stage diagnosis condition is satisfied based on the time duration for which the abnormal state is maintained, and determine whether or not a component failure has occurred according to whether or not the early stage diagnosis condition is satisfied.


