UPS Battery State Estimation via Operational Decline Table
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Solution Overview
Problem
Conventional UPS systems require actual electrical discharge procedures for accurate battery state-of-health estimation, which is inefficient and increases manufacturing costs, and they lack efficient methods for power distribution and battery life monitoring.
Innovation Solution
An operational decline table is created using actual and simulated data, allowing the UPS to estimate battery state-of-health without actual discharge, reducing hardware requirements and storage capacity needs, and enabling periodic algorithm execution and data deletion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual electrical discharge procedure is performed for battery testing, then battery state-of-health estimation accuracy is improved, but testing time and system complexity increase
Solution Approach 1:
The patent pre-establishes an operational decline table containing battery capacity degradation data under various temperature conditions before actual use. This preliminary data preparation allows the system to perform state-of-health estimation through table lookup and calculation without requiring actual discharge testing at the time of assessment, thereby resolving the contradiction between accuracy and testing time.
Solution Approach 2:
The patent creates a virtual model of battery degradation by copying actual discharge test results into an operational decline table that stores capacity ratios at different temperatures. This copied data model enables subsequent estimations to be performed through calculation rather than repeated physical testing, reducing time while maintaining accuracy.
2Measurement precision
If actual electrical discharge procedure is performed for battery testing, then battery state-of-health estimation accuracy is improved, but manufacturing cost and hardware requirements increase
Solution Approach 1:
The patent replaces complex hardware-based discharge testing systems with a simplified implementation that uses pre-collected data stored in an operational decline table. By copying test results into a lookup table, the system eliminates the need for complex discharge control hardware while maintaining estimation accuracy through computational methods.
Solution Approach 2:
The patent substitutes the mechanical/electrical discharge testing process with a computational system that performs calculations based on temperature and time parameters. This replacement of physical discharge mechanisms with mathematical computations reduces hardware complexity while preserving measurement precision.
3Measurement precision
If continuous test data is stored for periodic algorithm execution, then battery monitoring accuracy is improved, but storage capacity requirements increase
Solution Approach 1:
The patent extracts only the essential parameters needed for state-of-health estimation from continuous test data, specifically storing temperature values and corresponding time points. By taking out only the critical data elements rather than storing complete test records, the system maintains monitoring accuracy while significantly reducing storage requirements.
Solution Approach 2:
The patent pre-processes test data into an operational decline table with organized temperature-time-capacity relationships before periodic algorithm execution. This preliminary organization of data allows the system to perform accurate monitoring with compact stored representations rather than requiring large volumes of raw continuous data.
Data Source
AI summary
An uninterruptible power system (UPS) testing method includes the steps of setting an operational decline table, setting an initial value, collecting data, inputting targets, executing multi-algorithm, and indicating a warning or an approval. Wherein, battery cells of the UPS are repeatedly tested when being actually used at different temperatures to set the operational decline table and the initial time value; and data about temperatures and time periods of the battery in operation are continuously collected for a user to execute algorithms based on designated conditions to predict the battery state in a future time period; and an indication message is generated for the user to determine whether the battery is still usable or has to be replaced. In this manner, it is able to estimate the running time of a target time of the UPS without the need of performing an actual electrical discharge procedure.