空冷燃料电池电堆智能电控方法及系统

By generating temperature control strategies, stack activation strategies, and low-temperature start-up strategies, the adaptive control problem of air-cooled fuel cell stacks under dynamic load and environmental changes was solved, improving the system's life maintenance efficiency and low-temperature start-up capability, and reducing maintenance costs.

CN120473532BActive Publication Date: 2026-07-17XIE HYDROGEN (SHANGHAI) NEW ENERGY TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIE HYDROGEN (SHANGHAI) NEW ENERGY TECH CO LTD
Filing Date
2025-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing air-cooled fuel cell stack systems lack adaptive control capabilities under dynamic loads and environmental changes, resulting in reduced system lifespan and low maintenance efficiency. In particular, they have insufficient start-up capability in low-temperature environments, making it difficult to cope with voltage fluctuations caused by sudden load changes, and their remote monitoring and configuration efficiency is low.

Method used

By acquiring information on fuel cell stack temperature, operation, fan speed, and ambient humidity, the system generates temperature control strategies, fuel cell stack activation strategies, and low-temperature start-up strategies to achieve intelligent electronic control. This allows for dynamic adjustment of fan speed and heating schemes, ensuring efficient system operation under various conditions.

Benefits of technology

It improves the life maintenance efficiency of air-cooled fuel cell stacks, enhances adaptability to dynamic loads and environmental changes, reduces fault diagnosis and maintenance costs, and ensures rapid start-up and stable operation in low-temperature environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请涉及一种空冷燃料电池电堆智能电控方法及系统,应用于燃料电池技术领域,其方法包括获取空冷燃料电池电堆的电堆温度信息、电堆运行信息、系统风扇信息和环境湿度信息;基于所述电堆温度信息、电堆运行信息和所述系统风扇信息生成温度控制策略;基于所述电堆温度信息、所述电堆运行信息、所述系统风扇信息和所述环境湿度信息生成电堆活化策略;基于所述电堆温度信息和所述电堆运行信息生成低温启动策略;基于所述温度控制策略、所述电堆活化策略和所述低温启动策略对所述空冷燃料电池电堆进行智能控制。本申请具有高效的对系统进行寿命维护的效果。
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