Adaptive Moving Average for Battery Voltage Noise Filtering
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Solution Overview
Problem
Existing battery management systems (BMS) face challenges in accurately measuring battery cell voltage data due to sensitivity to external noise, leading to errors and difficulty in tracking sudden voltage changes during charging and discharging.
Innovation Solution
An apparatus and method that calculate a moving average by assigning weights to voltage data from battery cells, allowing the system to rapidly follow sudden changes in voltage data by reflecting the acquired data into the moving average calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a simple moving average is used to reduce noise sensitivity, then measurement stability is improved, but the ability to track sudden voltage changes deteriorates
Solution Approach 1:
The patent applies dynamics by making the moving average window size adaptive rather than fixed. The window size automatically adjusts based on the detected voltage change rate - expanding when changes are rapid to capture sudden variations, and contracting when changes are gradual to smooth noise. This dynamic adjustment resolves the contradiction between stability and response speed.
Solution Approach 2:
The patent changes the parameter of the moving average calculation - specifically the window size - based on the voltage change rate. When the voltage changes rapidly, the window size increases to capture the sudden variation; when voltage is stable, the window size decreases to provide smoother measurements. This parameter adaptation allows the system to optimize between stability and responsiveness in different operating conditions.
2Ease of manufacture
If voltage data is measured periodically with fixed intervals, then measurement simplicity is improved, but accuracy during rapid voltage changes deteriorates
Solution Approach 1:
The patent introduces dynamic measurement intervals that adapt to voltage change rates. When sudden voltage changes are detected, the measurement interval automatically decreases to capture the rapid variation with higher temporal resolution. When voltage is stable, the interval increases to reduce measurement overhead. This maintains simplicity while improving accuracy during critical transitions.
Solution Approach 2:
The system uses feedback from voltage change rate detection to adjust measurement timing. The measured voltage data feeds into a change rate calculation, which then feeds back to modify the next measurement interval. This closed-loop control ensures measurements are taken at appropriate frequencies - more frequently during rapid changes, less frequently during stable periods - thereby improving accuracy without excessive complexity.
Data Source
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AI summary
The present invention relates to an apparatus and a method for processing battery cell voltage data, which calculate a moving average by assigning a weight to one or more voltage data acquired from the battery cell and reflect the acquired voltage data to the calculated moving average and use the voltage data to rapidly follow a sudden change of the voltage data applied from the battery cell.