Method for predicting the degree of aging of a hydrogen storage valve

CN122329657APending Publication Date: 2026-07-03WEIFUIT HYDROGEN ENERGY TECHNOLOGY (WUXI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WEIFUIT HYDROGEN ENERGY TECHNOLOGY (WUXI) CO LTD
Filing Date
2026-04-14
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Current technologies rely on manual inspections and offline disassembly to monitor the aging of hydrogen storage valves. This is inefficient, time-consuming, and labor-intensive, and cannot achieve real-time monitoring and early warning. It poses safety hazards and fails to meet the needs of efficient and safe operation and maintenance of on-board hydrogen storage systems.

Method used

By deploying multiple sensing modules and data storage modules, the system collects operational data from all dimensions, performs outlier removal and signal filtering, and combines machine learning models and industry threshold rule bases to achieve intelligent prediction of the aging degree of hydrogen storage valves and closed-loop diagnosis of the entire process.

Benefits of technology

It enables accurate assessment of the aging degree of hydrogen storage valves, reduces operation and maintenance costs, improves testing efficiency, avoids safety risks, supports remote monitoring and fault early warning, and promotes the transformation of on-board hydrogen storage systems towards digital and intelligent operation and maintenance.

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Abstract

This invention relates to a method for predicting the aging degree of hydrogen storage valves, belonging to the field of health monitoring and intelligent diagnosis of on-board hydrogen storage systems. This technical solution can determine the wear level of hydrogen storage cylinder valves into four levels: no wear, slight wear, moderate wear, and severe wear, achieving precise control over the aging state of the cylinder valves. Simultaneously, it can provide early warning of severe wear risks, effectively avoiding safety accidents such as cylinder valve leakage and sealing failure, ensuring the safe operation of the on-board hydrogen storage system. Furthermore, this solution completely solves the drawbacks of existing technologies that rely on manual inspection and offline disassembly testing, replacing traditional manual disassembly testing methods, significantly reducing maintenance costs, improving testing efficiency, and avoiding the additional losses and safety risks caused by downtime disassembly. At the same time, this solution, combined with the hydrogen management system (VCU), constructs a closed-loop system for data acquisition, analysis, and diagnosis, realizing remote monitoring, fault warning, and lifespan prediction of hydrogen storage valves.
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