20240027535. BATTERY STATE DETERMINATION METHOD AND BATTERY STATE DETERMINATION DEVICE simplified abstract (TOYO SYSTEM CO., LTD.)
Contents
BATTERY STATE DETERMINATION METHOD AND BATTERY STATE DETERMINATION DEVICE
Organization Name
Inventor(s)
Ichiro Munakata of Fukushima (JP)
Shuntaro Igari of Fukushima (JP)
Satoshi Tanno of Fukushima (JP)
Hideki Shoji of Fukushima (JP)
BATTERY STATE DETERMINATION METHOD AND BATTERY STATE DETERMINATION DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240027535 titled 'BATTERY STATE DETERMINATION METHOD AND BATTERY STATE DETERMINATION DEVICE
Simplified Explanation
The patent application describes a device that can assess the deterioration of a secondary battery by using regression analysis. The device uses the degree of deterioration of the secondary battery as the target variable and multiple regression analysis to evaluate it. The explanatory variables used in the analysis are the values of various model parameters that define a secondary battery model based on the complex impedance measurement of reference secondary batteries. The target variable is the degree of deterioration evaluated according to the secondary battery model. The device then evaluates the degree of deterioration of a target secondary battery using a multiple regression equation obtained from the analysis.
- The device evaluates the degree of deterioration of a secondary battery using regression analysis.
- Multiple regression analysis is performed using model parameters and complex impedance measurements.
- The target variable is the degree of deterioration of the secondary battery.
- The device calculates the degree of deterioration of a target secondary battery using the regression equation obtained from the analysis.
Potential Applications:
- Battery manufacturing industry: The device can be used to assess the deterioration of secondary batteries during production, ensuring only high-quality batteries are released.
- Electric vehicle industry: The device can be integrated into electric vehicles to monitor the deterioration of the secondary battery and optimize its performance.
- Renewable energy storage: The device can be used in renewable energy systems to assess the deterioration of secondary batteries used for energy storage.
Problems Solved:
- Accurate assessment of battery deterioration: The device provides a reliable method to evaluate the degree of deterioration of secondary batteries, allowing for timely maintenance or replacement.
- Quality control in battery production: The device helps identify secondary batteries with significant deterioration, ensuring only reliable batteries are distributed to consumers.
- Optimization of battery performance: By monitoring the degree of deterioration, the device enables better management of secondary batteries, maximizing their efficiency and lifespan.
Benefits:
- Cost savings: Timely maintenance or replacement of deteriorated batteries reduces the risk of unexpected failures and costly repairs.
- Improved battery performance: By monitoring deterioration, the device allows for proactive measures to optimize battery performance and extend its lifespan.
- Enhanced reliability: The device ensures that only high-quality secondary batteries are used, increasing the reliability of devices or systems relying on these batteries.
Original Abstract Submitted
a device is capable of evaluating the degree of deterioration of a secondary battery by executing regression analysis processing using, as a target variable, the degree of deterioration of the secondary battery. multiple regression analysis is executed by using, as explanatory variables, respective values of plural model parameters that define a secondary battery model based on a measurement result of complex impedance of each reference secondary battery, and a degree of deterioration evaluated according to the secondary battery model as a target variable. then, a degree of deterioration of a target secondary battery is evaluated according to a multiple regression equation obtained as a result of the multiple regression analysis.
