发电用燃料电池硬件在环测试系统及动态优化方法

By constructing a modular system that integrates multi-condition environment simulation, real-time simulation and control, data acquisition and processing, and standardized testing, the compatibility, accuracy, and optimization efficiency issues of existing fuel cell testing systems have been resolved, enabling efficient fuel cell R&D and engineering applications.

CN122410345APending Publication Date: 2026-07-17STATE GRID JIANGSU ELECTRIC POWER CO LTD CHANGZHOU BRANCH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LTD CHANGZHOU BRANCH
Filing Date
2026-04-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing HIL testing systems for fuel cells used in power generation suffer from insufficient compatibility, low model accuracy, non-standard processes, and low optimization efficiency. These issues make it difficult to meet the testing requirements of different types of fuel cells under different operating conditions, and the comparability and reliability of the test results are poor.

Method used

A multi-physics coupled real-time model is constructed by employing a multi-condition environment simulation module, a real-time simulation and control module, a data acquisition and processing module, and a standardized testing and fault injection module. Through modular assembly and debugging, interface calibration, and intelligent algorithm optimization of key parameters and control strategies, closed-loop iterative optimization is achieved.

Benefits of technology

It improves the versatility and compatibility of fuel cell testing systems, ensures high-precision data acquisition and standardized testing processes, enhances optimization efficiency and system performance, and provides solid technical support.

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Abstract

本发明公开了发电用燃料电池硬件在环测试系统及动态优化方法。方法包括:按照测试需求组装各个模块并调试硬件和软件,对接口和传感器进行校准,并初始化多物理场耦合实时模型;设置模拟环境参数及负载条件,启动实时仿真控制燃料电池操作,并采集运行数据,并通过预处理去除噪声干扰;根据标准化检测模型评估燃料电池在不同工况下的性能指标,通过注入特定故障检验系统响应速度及保护机制的有效性,并分析故障特征,对燃料电池表现进行量化评估,确定改进方向,应用智能算法优化关键参数和控制策略,并通过迭代验证直至各项性能指标满足设计要求。通过本发明的方法实现发电用燃料电池硬件在环测试系统动态优化的通用化、高精度、标准化。
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