Battery Evaluation Device Using Charge-Discharge Efficiency Clustering

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Solution Overview

Problem

Existing methods for evaluating rechargeable battery degradation require offline operations or special charge-discharge patterns, and need preliminary data collection for voltage standard deviation analysis, leading to delays in battery diagnosis.

Innovation Solution

A rechargeable battery evaluation device that detects charge-discharge efficiency intervals based on operational data, clusters the efficiencies, and generates characteristic information for real-time monitoring and visualization, allowing continuous operation without offline conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If voltage standard deviation method is used for battery evaluation, then evaluation can be performed during normal operation, but preparation time is required for data collection before diagnosis can start

Engineering Contradiction:
Improvebattery evaluation during normal operationVSAvoidpreparation time for data collection
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing the relationship between charge-discharge efficiency and battery state of health during the battery manufacturing process or initial setup. This pre-computed efficiency-Health correlation data is stored in memory, allowing immediate evaluation without requiring preliminary data collection during operation, thus eliminating the preparation time while maintaining the ability to evaluate during normal operation

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If complete discharge and full charge methods are used, then degradation state can be evaluated, but the battery must be made offline and special charge-discharge patterns executed

Engineering Contradiction:
Improvedegradation state evaluationVSAvoidbattery operational availability
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent applies self-service by using the battery's normal operational charge-discharge cycles to generate evaluation data. The system monitors and calculates charge-discharge efficiency during regular battery operation without requiring special test patterns or offline conditions. The battery serves itself for evaluation purposes during its normal service, eliminating the need to take it offline while maintaining accurate degradation assessment

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the evaluation parameter from traditional voltage-based methods to charge-discharge efficiency-based evaluation. By monitoring efficiency parameters during normal operation rather than requiring voltage measurements during special discharge patterns, the system achieves accurate degradation assessment while maintaining battery productivity and operational availability

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11099240B2Device and method for evaluating energy storage device and evaluation system
Publication Date: 2021.08.24 KK TOSHIBA
  • US11099240B2 patent drawing
  • US11099240B2 patent drawing
  • US11099240B2 patent drawing

AI summary

According to one embodiment, a device for evaluating an energy storage device includes first processing circuitry and second processing circuitry. The first processing circuitry detects a plurality of times at which an amount of charge of the energy storage device satisfies a threshold condition, based on measurement data on the energy storage device in operation, selects a plurality of time intervals, calculates a charge-discharge efficiency in each of the time intervals based on charge-discharge command values belonging to the time interval, and divides a set of the charge-discharge efficiencies into a plurality of clusters and generates characteristic information on the clusters based on at least one of the measurement data and the charge-discharge command values. The second processing circuitry generates output data for displaying: transition data indicating transition of the charge-discharge efficiency belonging to the cluster; and characteristic information on the cluster.