Battery Diagnostic Device Using Stored Voltage Data
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Solution Overview
Problem
Current battery diagnostic methods for eco-friendly vehicles are time-consuming, requiring around 8 hours for capacity diagnosis and 24 hours for safety diagnosis, necessitating a faster method to identify abnormal batteries.
Innovation Solution
A battery diagnostic device and method that utilize information from past and current time points to quickly identify abnormal batteries by measuring voltages, calculating states of charge, and determining discharge current and rate, thereby reducing diagnostic time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional battery diagnostic methods are used, then diagnostic accuracy is maintained, but diagnostic time becomes excessively long (8-24 hours)
Solution Approach 1:
The system performs preliminary actions by storing voltage data and driving information in non-volatile memory before the actual diagnosis is needed. The processor converts voltages to SOCs and calculates discharge parameters in advance, so that when diagnosis is required, the system can quickly analyze stored data rather than performing lengthy real-time measurements, thus reducing diagnostic time while maintaining accuracy
Solution Approach 2:
The patent creates a copy of the battery's operational state by storing voltage measurements and driving information in non-volatile memory. This stored data serves as a replica of the battery's history, allowing the system to analyze past performance patterns to identify abnormal states without requiring prolonged real-time testing, thereby accelerating diagnosis while preserving reliability
2Productivity
If comprehensive battery diagnosis is performed, then thorough assessment is achieved, but the process becomes time-consuming
Solution Approach 1:
The system extracts key diagnostic parameters (voltages, SOCs, discharge current, discharge rate) from the comprehensive battery data stored in non-volatile memory. By focusing analysis on these extracted critical parameters rather than processing all raw data, the system achieves thorough assessment of battery health while significantly reducing the time required for diagnosis
Solution Approach 2:
The diagnosis process is segmented into distinct analytical steps: voltage measurement, SOC conversion, discharge current calculation, and abnormal state identification. Each segment processes specific data independently, allowing parallel processing and reducing overall diagnosis duration while maintaining comprehensive assessment through systematic evaluation of each parameter
Data Source
AI summary
In a battery diagnostic device and a method thereof, the battery diagnostic device can include a battery including at least one cell, a non-volatile memory, and a processor. The processor can store voltages of the at least one cell, which can be obtained at a plurality of time points, and pieces of information associated with times when the battery is driven, which can be obtained at the plurality of time points, obtain states of charge (SOCs) corresponding to the voltages of the at least one cell, identify an amount of discharge current of the at least one cell and a discharge rate of the at least one cell, based on obtaining the SOCs of the at least one cell, identify a state of the at least one cell, based on the amount of discharge current and the discharge rate, and store the state of the at least one cell.