Memory SOH Diagnosis for Battery Pack Lifespan Management
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Solution Overview
Problem
The EU Battery Regulation requires easy replacement and recycling of battery pack components without software interference, but lacks guidance on battery management system circuit configuration lifespan management, leading to unpredictable and unmanaged lifespans of circuit components like BMS and memory.
Innovation Solution
An apparatus and method for diagnosing memory deterioration using a processor to calculate State of Health (SOH) based on erase count, erase time, write error count, and write time, with SOH calculations adjusted by predefined weights and margins to predict and manage memory lifespan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the battery pack allows easy replacement of components as required by EU regulation, then ease of operation is improved, but the lifespan management and reliability of circuit components like memory become unmanaged and unpredictable
Solution Approach 1:
The system performs preliminary actions by continuously monitoring memory usage statistics (erase counts, write errors, block wear levels) before the memory actually fails. This allows the BMS to predict remaining lifespan and proactively manage component replacement schedules, ensuring reliability is maintained while supporting easy physical replacement of battery cells.
Solution Approach 2:
The system implements feedback by continuously collecting and analyzing memory operation statistics, comparing current wear levels against historical data and thresholds. This feedback loop enables dynamic adjustment of battery pack operation and replacement recommendations, resolving the contradiction between easy replacement and reliable lifespan management through data-driven decision making.
2Measurement precision
If the system monitors multiple memory parameters (erase count, write error count, block wear) to accurately diagnose deterioration, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The BMS processor performs multiple functions using the same hardware resources: it manages battery cell monitoring, controls charging/discharging operations, and now also diagnoses memory deterioration. By reusing the existing processor and integrating memory monitoring into the same diagnostic framework, the system achieves high measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system merges the memory diagnostic function with the existing BMS operations. Memory wear statistics are collected alongside battery parameters, and the same communication interfaces and processing logic are used for both battery management and memory health assessment, reducing overall system complexity while maintaining diagnostic precision.
Data Source
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AI summary
The present disclosure relates to an apparatus and method for diagnosing deterioration of a memory (200), and is directed to providing an apparatus and method for diagnosing a memory (200), the apparatus capable of diagnosing a degree of deterioration of a memory (200) among circuit components constituting a battery pack, and predicting and managing a lifespan of the memory (200) based on the diagnosis result. The present disclosure provides a configuration that calculates a state of health, SOH, of the memory based on one or more of an erase count of data written to the memory, an erase time required to erase the data written to the memory (200), a write error count when writing the data to the memory (200), and a write time required to write the data to a memory cell (210), and determines the remaining lifespan according to the SOH.