Battery SoH Estimation Using Voltage-Change Analysis In Operation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for evaluating the state of battery energy storage systems, particularly those used in power quality improvement and power supply-demand adjustment, struggle to accurately assess deterioration due to differences in charge/discharge cycles and storage conditions without disrupting system operations.
Innovation Solution
An information processing apparatus that calculates voltage changes and estimates the state of rechargeable batteries using measured data, including charge/discharge commands, voltage, and temperature, to assess the state of health (SoH) by analyzing voltage distribution and charge capacity degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the battery energy storage system operates continuously 24 hours a day, 365 days a year for power quality improvement, then the power system stability is maintained, but the battery deteriorates due to continuous cycle charge/discharge operations
Solution Approach 1:
The system performs preliminary actions by continuously monitoring voltage, current, and temperature parameters during operation, and calculates state of charge (SOC) and state of health (SOH) in advance using equivalent circuit models and aging models, enabling proactive maintenance planning before critical deterioration occurs
Solution Approach 2:
The system implements feedback mechanisms by continuously measuring battery parameters, comparing them against theoretical models, and adjusting the aging assessment in real-time based on the difference between measured and calculated values, thereby improving accuracy while maintaining continuous operation
2Measurement precision
If the battery energy storage system is evaluated by stopping operations, then accurate deterioration assessment can be performed, but the continuous power quality improvement function is interrupted
Solution Approach 1:
The system introduces intermediary elements including equivalent circuit models, aging models, and parameter estimation algorithms that serve as mediators between continuous operation and accurate assessment, enabling deterioration evaluation through mathematical modeling rather than physical testing
Solution Approach 2:
The patent replaces mechanical/physical assessment methods (which would require stopping operations) with electrical and computational methods, using voltage, current, and temperature measurements combined with mathematical models to assess deterioration while the system remains operational
3Speed
If the battery is kept in full charge state for long periods for power supply-demand adjustment, then the response capability is improved, but storage deterioration and float deterioration progress
Solution Approach 1:
The system performs preliminary assessment of storage and float deterioration using aging models that predict service life reduction based on charge state duration, enabling operators to plan charge/discharge cycles that balance response capability with longevity before critical deterioration occurs
Solution Approach 2:
The system monitors and analyzes changes in voltage, temperature, and charge state parameters over time to detect early signs of storage and float deterioration, adjusting operational parameters dynamically to minimize service life impact while maintaining response capability
4Measurement precision
If conventional database methods are used for deterioration evaluation, then cycle deterioration can be assessed, but storage and float deterioration cannot be detected
Solution Approach 1:
The system implements a universal assessment framework that handles multiple deterioration types (cycle, storage, and float) through a single integrated model structure, making the evaluation system adaptable to various operating conditions and deterioration mechanisms without requiring separate specialized systems
Solution Approach 2:
The patent introduces additional monitoring parameters and model adjustments specifically designed to detect storage and float deterioration, such as extended monitoring of voltage and temperature during idle periods, and modified aging models that account for charge state duration, thereby expanding the detection capability beyond cycle deterioration
Data Source
AI summary
According to one embodiment, an information processing apparatus, includes: processing circuitry configured to calculate, based on measured data of a voltage value and a charge amount of a rechargeable battery which is controlled for charge/discharge according to a charge/discharge command value, first information indicating a change of the voltage value with respect to the charge amount; and acquire second information indicating a reference change of a voltage value with respect to a charge amount in accordance with a range of the voltage values in the measured data and estimate a state of the rechargeable battery based on the first information and the second information.