Battery State Estimation Using Charging Voltage Segmentation
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Solution Overview
Problem
Existing methods for detecting battery abnormalities in electric vehicles are insufficient in predicting and preventing issues like thermal runaway, as they rely on direct analysis of internal states and lack proactive measures.
Innovation Solution
A battery state estimating apparatus that senses charging voltage data, extracts partial data using a consistent extraction process, and calculates a distance between current and initial battery life data using methods like Euclidean or Mahalanobis distance to estimate abnormal states, triggering warnings or stabilization measures based on calculated scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct analysis of internal battery state is used to detect abnormalities, then detection accuracy is improved, but the ability to predict and prevent abnormalities in advance deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously monitoring battery charging voltage data and comparing it against historical data from initial battery life and termination points. This allows the system to predict potential abnormalities before they occur, enabling proactive measures such as warning signals or charging interruption to prevent thermal runaway and other safety issues.
Solution Approach 2:
The battery's entire charging voltage data is segmented into different phases: initial battery life data, current battery data, and termination point data. By extracting and comparing specific sections of charging voltage data across these phases, the system can identify deviations that indicate developing abnormalities without needing to analyze the entire dataset at once, improving both detection accuracy and predictive capability.
2Reliability
If comprehensive battery monitoring is implemented to ensure safety, then reliability is improved, but device complexity increases
Solution Approach 1:
The battery state estimating apparatus is designed with multi-functionality, serving as both a monitoring device and a prediction system. It extracts charging voltage data, compares it across different battery life stages, calculates deviation scores, and generates warnings or control signals all within a single integrated system, reducing overall complexity while maintaining comprehensive safety monitoring.
Solution Approach 2:
The system introduces an intermediary processing layer that extracts key features from raw charging voltage data and compares them against reference data from initial and termination battery life stages. This intermediary layer simplifies the complexity by focusing on critical comparison points rather than processing all raw data, while still providing reliable safety monitoring through calculated deviation scores.
Data Source
AI summary
A method and an apparatus to estimate a battery state include a sensor, a data extractor, and a state estimator. The sensor is configured to sense charging voltage data, and the data extractor is configured to extract partial data corresponding to a section from the sensed charging voltage data. The state estimator is configured to estimate a state of a current battery using the extracted partial data.