Battery Current Data Correction for Accurate State Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for estimating the behavior of energy storage devices using equivalent circuit models fail to accurately reflect the actual state due to errors caused by differences in sensor accuracy between detection devices in experimental and actual devices.
Innovation Solution
An information processing device that corrects time-series data from an actual energy storage device using a correlation with reference data from a second, more accurate detection device, employing a linear function to minimize errors and improve estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If detection data from the first detection device is used directly for behavior estimation, then the estimation process is simple, but the estimation accuracy deteriorates due to sensor accuracy differences
Solution Approach 1:
A correction value is introduced as an intermediary element between the detection data and the behavior estimation. The correction value compensates for sensor accuracy differences by adjusting the detection data before it is used in the equivalent circuit model, thereby improving estimation accuracy without significantly increasing system complexity
Solution Approach 2:
The detection data parameters are modified by applying a correction value that accounts for sensor accuracy differences. This parameter transformation converts raw detection data into corrected data that better reflects the actual behavior of the energy storage device, resolving the accuracy issue while maintaining process simplicity
2Measurement precision
If detection data from the second detection device is used directly, then the behavior estimation accuracy is improved, but the adaptability to actual devices deteriorates due to sensor accuracy mismatches
Solution Approach 1:
The system uses feedback from the equivalent circuit model to determine the correction value. By comparing the model's expected behavior with actual detection data, the system automatically adjusts the correction value to compensate for sensor accuracy differences, enabling the high-accuracy reference data to be adaptively applied to various actual devices
Solution Approach 2:
The correction value dynamically adjusts the parameters of the detection data based on the specific characteristics of each actual device. This parameter transformation allows the system to adapt high-accuracy reference data to devices with different sensor accuracies, maintaining both accuracy and versatility
Data Source
AI summary
An information processing device includes an acquisition unit that acquires time-series data including a current value of a first energy storage device detected by a first detection device, and a correction unit that corrects the acquired time-series data based on a correlation between the time-series data acquired by the acquisition unit and reference time-series data including a current value of a second energy storage device detected by a second detection device.


