18179630. BATTERY CLASSIFIER PARTITIONING AND FUSION simplified abstract (GM Global Technology Operations LLC)
Contents
- 1 BATTERY CLASSIFIER PARTITIONING AND FUSION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 BATTERY CLASSIFIER PARTITIONING AND FUSION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
BATTERY CLASSIFIER PARTITIONING AND FUSION
Organization Name
GM Global Technology Operations LLC
Inventor(s)
Yusheng Zou of Northville MI (US)
Ibrahim Haskara of Macomb MI (US)
Bharatkumar Hegde of Bloomfield Hills MI (US)
BATTERY CLASSIFIER PARTITIONING AND FUSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18179630 titled 'BATTERY CLASSIFIER PARTITIONING AND FUSION
Simplified Explanation
The patent application describes a system and method for predicting the health of a battery based on battery data obtained from a sensor and processed by a processor. The data is partitioned into subsets, each with different scores related to the battery's health, and an overall score is generated to predict the battery's health.
- Sensor collects battery data
- Processor partitions data into subsets
- Scores determined for each subset
- Overall score generated to predict battery health
Potential Applications
This technology could be applied in various industries where batteries are used, such as:
- Electric vehicles
- Consumer electronics
- Renewable energy storage systems
Problems Solved
This innovation addresses the following issues:
- Predicting battery health accurately
- Preventing unexpected battery failures
- Optimizing battery performance and lifespan
Benefits
The system and method offer the following benefits:
- Early detection of battery issues
- Improved maintenance planning
- Enhanced overall battery performance
Potential Commercial Applications
The technology could be commercially utilized in:
- Battery manufacturing companies
- Automotive industry
- Energy storage providers
Possible Prior Art
One possible prior art could be battery management systems that monitor battery health but may not use the same partitioning and scoring method for prediction.
Unanswered Questions
How does the system handle different types of batteries with varying characteristics?
The patent application does not specify how the system adapts to different battery types and their unique parameters.
What is the accuracy rate of the system in predicting battery health?
The application does not provide information on the accuracy or reliability of the predictions made by the system.
Original Abstract Submitted
A system and method for predicting a health of a battery. The system includes a sensor and a processor. The sensor is configured to obtain a battery data indicative of a parameter of the battery. A plurality of scores for the battery data is determined, and the battery data is partitioned into a plurality of subsets for which the scores have a different behavior for each of the subsets. The processor partitions the battery data into a plurality of subsets, determines a score for each of the plurality of subsets, wherein each score is related to the health of the battery, generates an overall score from the scores from each of the subsets, and predicts the health of the battery from the overall score.
