Battery Anomaly Detection in a Single Charge-Discharge Cycle
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Solution Overview
Problem
Existing battery condition determination methods often lead to potentially dangerous operating conditions by failing to accurately identify anomalies during charge and discharge cycles.
Innovation Solution
A system and method that utilizes sensor measurements, a modeler, classifier, and state estimator to detect anomalous battery behavior in real-time, enabling detection of conditions such as cell disconnection, thermal anomalies, and electrical shorts during a single cycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery condition is determined over several charge and discharge cycles, then measurement precision is improved, but reliability deteriorates due to potentially dangerous operating conditions
Solution Approach 1:
The patent applies preliminary action by performing anomaly detection during a single charge or discharge cycle rather than waiting for multiple cycles. The system continuously monitors battery parameters and detects anomalies in real-time, enabling early intervention before dangerous conditions develop. This resolves the contradiction by achieving reliable anomaly detection without requiring multiple cycles that expose the battery to potential hazards.
2Measurement precision
If multiple cycles are used to detect anomalies, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent implements continuity of useful action by continuously monitoring battery parameters throughout a single charge or discharge cycle. Instead of intermittently sampling over multiple cycles, the system maintains continuous observation of voltage, current, and temperature parameters, enabling anomaly detection to occur at any point during the cycle. This continuous monitoring approach achieves both timely detection and sufficient accuracy without the time delay of multiple cycles.
Solution Approach 2:
The system performs preliminary anomaly detection during the first charge or discharge cycle itself, rather than waiting for subsequent cycles. By establishing baseline parameters and detecting deviations in real-time during the initial cycle, the system eliminates the time loss associated with waiting for multiple cycles while maintaining detection precision through continuous monitoring.
3Reliability
If real-time anomaly detection is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by implementing anomaly detection algorithms that automatically analyze battery parameters without requiring complex external diagnostic equipment. The system uses built-in sensors and processing capabilities to continuously monitor voltage, current, and temperature, comparing readings against expected ranges and detecting anomalies autonomously. This self-monitoring approach achieves reliable real-time detection while minimizing additional device complexity.
Solution Approach 2:
The system achieves multi-functionality by using the existing battery management infrastructure for both normal operation control and anomaly detection. The same sensors and processing units that manage charging and discharging operations are also utilized for continuous anomaly monitoring, eliminating the need for separate dedicated detection hardware. This universal use of existing components maintains reliability while avoiding increased device complexity.
Data Source
AI summary
A system and method for determining whether a battery is operating in an anomalous condition can include or be configured to measure sensor data, estimate a local property of the battery using on the sensor data, and classify whether the battery is operating in the anomalous condition based on the local property.