一种利用固态硬盘主控芯片的闪存测试方法及系统

By acquiring hard drive operating data in real time and adjusting voltage parameters and timing settings using feedback control and adaptive timing optimization algorithms, the problem of insufficient hardware status awareness in existing flash memory testing methods is solved. This achieves accurate fault location and comprehensive test coverage, improving the reliability and accuracy of flash memory testing.

CN122116993BActive Publication Date: 2026-07-17ZHEJIANG RUIZHAOXIN SEMICON TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG RUIZHAOXIN SEMICON TECH CO LTD
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing flash memory testing methods cannot perceive the underlying hardware status of the hard drive in real time and lack a collaborative feedback mechanism for voltage parameters and timing settings. This results in a disconnect between test parameters and the actual physical boundaries of the hardware, making it impossible to accurately locate fault points and creating blind spots in test coverage.

Method used

By collecting voltage fluctuation data and timing response signals during hard drive operation, and using feedback control algorithms and adaptive timing optimization algorithms to collaboratively adjust voltage parameters and timing settings, dynamic test parameters are generated. Multi-dimensional read and write stress tests are conducted, and combined with hardware feedback loops, fault location and quantitative evaluation of test coverage are achieved.

Benefits of technology

It significantly improves the authenticity and reliability of flash memory testing, achieves accuracy in fault location and sufficiency in test coverage, provides objective quantitative basis for reliability verification, and improves the degree of automation and the accuracy of evaluation results.

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Abstract

本申请涉及存储设备测试技术领域,公开了一种利用固态硬盘主控芯片的闪存测试方法及系统,包括:从采集的电压波动数据和时序响应信号中提取特征向量得到初始硬件状态描述;分析电压参数与时序设置的相互影响,生成动态电压修正序列并注入主控模块,通过监测读写稳定性获得实时性能指标变化趋势;提取时序设置偏差值,得到优化后的时序配置方案;应用优化后的时序配置执行多维度读写压力测试,触发硬件反馈循环确定潜在故障点位置;采集环境变量数据,采用集成参数融合算法得到综合测试用例集;选取子集注入测试环境,监测整体性能极限响应,迭代调整反馈机制获得可靠性评估报告。本申请实现了闪存测试的自适应动态优化与精准故障定位。
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