Power Storage Block Voltage Smoothing for Micro Short Circuit Detection
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Solution Overview
Problem
In power storage systems used for frequency regulation, detecting micro short circuits is challenging due to irregular charge and discharge patterns and the difficulty in distinguishing them from cell leakage, especially when the system is continuously charging and discharging.
Innovation Solution
A management device is implemented to manage power storage modules with series-connected blocks, equipped with a voltage detector, smoothing unit, and calculator that smoothes voltages over time, allowing for the detection of abnormal cells by calculating differences between individual block voltages and a representative value, enabling the identification of micro short circuits without relying on current states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If micro short circuit detection is performed based on cell voltage or SOC change during charge-discharge suspension, then detection accuracy is improved, but the method becomes inapplicable to systems with continuous irregular charge-discharge patterns
Solution Approach 1:
The battery system is divided into multiple power storage blocks (n blocks) with each block containing multiple power storage cells (m cells per block). By segmenting the system and monitoring voltage differences between individual blocks rather than relying on overall cell voltage or SOC changes, the method can detect micro short circuits in continuously operating systems where traditional suspension-based methods fail.
Solution Approach 2:
The invention changes the detection parameter from cell voltage or SOC change (which require suspension periods) to voltage difference between power storage blocks. This parameter change enables continuous monitoring during irregular charge-discharge operations, as the voltage difference between blocks remains detectable even during active charge-discharge cycles, resolving the contradiction between detection accuracy and adaptability to continuous operation.
2Reliability
If voltage smoothing based on previous data is applied to detect abnormal blocks, then detection reliability during continuous operation is improved, but computational complexity increases
Solution Approach 1:
The smoothing unit performs preliminary smoothing of voltage data using previous measurement values before comparison. By pre-processing the voltage data to remove fluctuations caused by irregular charge-discharge patterns, the system establishes a baseline for normal voltage behavior, enabling more reliable abnormal block detection without requiring complex real-time analysis during continuous operation.
Solution Approach 2:
The smoothing unit acts as an intermediary between raw voltage measurements and the determination unit. It processes the raw voltage data to eliminate noise and fluctuations, providing a smoothed voltage value that more accurately reflects the true state of each power storage block. This intermediary processing step improves detection reliability while keeping computational complexity manageable by using simple smoothing algorithms based on previous data.
Data Source
AI summary
A smoothing unit smoothes a detected voltage of each power storage block based on previous data during a certain period. A calculator calculates a difference between a smoothing voltage of one power storage block in the n power storage blocks and a representative value of the smoothing voltages of the other power storage blocks or all the power storage blocks. A determination unit determines a power storage block whose difference against the representative value enlarges more than or equal to a set value during a predetermined period as a power storage block containing an abnormal power storage cell.