Power Storage Service System Abnormality Prediction
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Solution Overview
Problem
Existing power storage systems with assembled batteries face challenges in predicting and preventing abnormality occurrences, leading to reduced operational time and increased maintenance costs, as they lack mechanisms to quantify the time to abnormality and manage unit cell deterioration effectively.
Innovation Solution
A power storage service system that measures self-discharge current differences and residual capacities across unit cells, using differential characteristic curves to determine equalization adjustments and calculate residual time, allowing for proactive maintenance scheduling and cost optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If abnormality detection is performed using operation frequency of equalization circuit, then abnormality can be determined, but time margin until abnormality occurrence cannot be known
Solution Approach 1:
The system performs preliminary actions by measuring self-discharge current differences before abnormality occurs and calculating residual time based on these measurements. This allows the system to predict when abnormality will occur and take preventive maintenance actions in advance, rather than merely detecting abnormality after it happens.
Solution Approach 2:
The patent introduces self-discharge current difference as an intermediary parameter that mediates between unit cell state and abnormality prediction. By measuring this intermediate parameter and using it to calculate residual time, the system bridges the gap between current system state and future abnormality occurrence.
2Reliability
If system stops at each abnormality occurrence for maintenance, then unit cell abnormalities can be addressed, but operating time of assembled battery system decreases
Solution Approach 1:
The system performs preliminary maintenance planning by calculating residual time before abnormality occurs. This allows maintenance to be scheduled proactively during planned downtime rather than causing unplanned operational interruptions, thereby maximizing system operating time while ensuring unit cell abnormalities are addressed.
Solution Approach 2:
The system continuously monitors self-discharge current differences and updates residual time calculations in real-time. This feedback mechanism allows dynamic adjustment of maintenance schedules based on actual unit cell degradation rates, optimizing the balance between reliability and productivity.
3Reliability
If quality improvement efforts such as adding inspection processes are implemented, then probability of abnormality occurrence is reduced, but manufacturing cost increases
Solution Approach 1:
The system enables self-service by using the assembled battery system's own operational data (self-discharge current differences during normal operation) to predict and manage unit cell abnormalities. This eliminates the need for additional expensive inspection processes while maintaining high reliability through continuous monitoring and residual time calculation.
Solution Approach 2:
The patent changes the approach from adding physical inspection processes to monitoring electrical parameters (self-discharge current differences) that naturally occur during battery operation. This parameter-based approach provides abnormality prediction without requiring additional manufacturing complexity or cost.
Data Source
AI summary
The present invention is a power storage service system including: quantitatively grasping the time leading up to the expression of the abnormality; capable determining possible or impossible of avoiding stopping of the function of the assembled battery system. According to the invention, a maintenance operator and a maintenance service supplier of the assembled battery system have a time margin to plan a response schedule and to prepare responding, and it can reduce the cost of responding to the maintenance by reducing and optimizing the number of response.One aspect of the present invention is a power storage service system configured to control a power system using an assembled battery system including a plurality of unit cells, the power storage service system including: a first measurer configured to measure a self-discharge current difference among the plurality of the unit cells; and a second measurer configured to obtain a residual time of the assembled battery using the self-discharge current difference measured by the first measurer.