Storage Battery Diagnosis via dV/dt Peak Separation
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Solution Overview
Problem
Conventional storage battery diagnosing systems require numerous sensors, leading to cumbersome maintenance and economic losses due to the large number of components needed to diagnose batteries connected in series.
Innovation Solution
A system utilizing an ammeter to measure current and a voltmeter to measure total voltage, with a calculation device that differentiates voltage over time or capacity to separate characteristic peaks for individual batteries, allowing for efficient diagnosis of storage battery soundness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If numerous sensors are used to measure voltages, temperatures, battery capacities, and internal resistances of all storage batteries, then measurement precision is improved, but device complexity and maintenance burden increase
Solution Approach 1:
The invention extracts only the essential measurement parameters (total voltage and current) needed for diagnosis, eliminating the need for numerous individual sensors for voltage, temperature, capacity, and internal resistance measurements. By focusing on extracting minimal sufficient data through dV/dt analysis, the system achieves accurate battery soundness diagnosis with significantly reduced sensor requirements.
Solution Approach 2:
The invention makes the minimal sensor setup (ammeter and voltmeter) universal for diagnosing all storage batteries in the series-connected pack. Instead of requiring dedicated sensors for each battery's multiple parameters, a single ammeter and voltmeter serve all batteries through mathematical analysis of the aggregate dV/dt characteristics, achieving multi-functionality with minimal components.
2Reliability
If numerous sensors are deployed on a module or single battery basis, then reliability of diagnosis is improved, but loss of time for maintenance increases
Solution Approach 1:
The invention extracts only the critical diagnostic information needed for reliability assessment by analyzing dV/dt characteristics from minimal measurements. This extraction approach maintains diagnostic reliability by focusing on the most informative parameters while eliminating the maintenance overhead associated with managing numerous individual sensors across all batteries.
3Measurement precision
If individual voltage measurements are taken for each storage battery, then measurement precision is improved, but quantity of components increases
Solution Approach 1:
The invention merges the measurement functions for all storage batteries into a single total voltage measurement and current measurement setup. By combining the diagnostic approach at the pack level and using dV/dt analysis to extract individual battery characteristics mathematically, the system achieves precise diagnosis without requiring separate voltage measurement devices for each battery.
Solution Approach 2:
The invention extracts individual battery diagnostic information from the aggregate total voltage and current measurements through mathematical analysis. Instead of physically separating measurements for each battery, the system extracts equivalent diagnostic data by analyzing the dV/dt characteristics of the combined system, significantly reducing component quantity.
Data Source
AI summary
An ammeter measures current when a storage battery having a plurality of single batteries connected in series is charged or discharged. A voltmeter measures total voltage of the storage battery. A calculation device calculates dV/dt obtained by differentiating the total voltage with respect to time on the basis of a relationship between the total voltage and charging time or discharging time, separates a characteristic peak obtained by a dV/dt curve into peaks for the respective single batteries, and diagnoses soundness of the storage battery on the basis of the separated peaks.


