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氢能与燃料电池 储能系统 ★ 4.0

微型热电联产固体氧化物燃料电池系统的性能评估与快速诊断

Performance assessment and fast diagnosis of a μ-CHP solid oxide fuel cell system

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中文摘要

摘要 在线性能表征与故障状态诊断对于确保微型热电联产(μ-CHP)固体氧化物燃料电池(SOFC)系统的家庭安全运行和延长使用寿命至关重要。然而,针对紧凑型SOFC系统实现快速且准确的故障检测与性能表征仍是一个挑战。本研究应用多种诊断方法对一个μ-CHP SOFC系统进行表征,包括恒电流电位法、电化学阻抗谱(EIS)、总谐波失真(THD)分析工具。性能表征与状态诊断在不同功率需求、燃料不足、高碳燃料供给以及长期运行条件下进行。正常工况与燃料不足条件下的EIS结果表明,远离燃料入口的底部27-cell半堆相较于顶部30-cell半堆接收到的燃料更少。分散性分析表明,为避免燃料不足,系统的安全燃料利用率应保持在81%以下。THD测量结果显示,在0.01至0.1 Hz频率范围内的正弦激励可有效检测燃料不足状态,此时观察到较高的THD指标。通过调节催化部分氧化反应器入口处的碳氧比(COR),研究了积碳行为。当COR达到1时,根据EIS测量结果以及系统电压和温度监测,未检测到明显的积碳现象。在正常条件下的长期运行过程中,未发现显著的性能衰减,表明系统具有稳定可靠的电力与热能输出能力。本工作的创新点包括:(1)识别出两个半堆之间的运行差异性;(2)利用THD分析实现燃料不足状态的快速检测;(3)在高碳燃料供给条件下的性能评估;(4)长期运行中的性能退化特性表征。

English Abstract

Abstract Online performance characterization and faulty condition diagnosis of micro-combined-heat-and-power ( μ -CHP) solid oxide fuel cell (SOFC) system is crucial for ensuring safe in-house operation and lifespan prolongation. However, fast accurate detection of faulty conditions and performance characterization of compact SOFC system remains a problem. This study applied multiple diagnostic methods to characterize a μ -CHP SOFC system, including chronopotentiometry, electrochemical impedance spectroscopy (EIS), total harmonic distortion (THD) tool. Performance characterization and condition diagnosis were performed under different power demands, fuel starvation, high-carbon fuel feed and long-term operation. EIS results under normal conditions and fuel starvation showed that the bottom 27-cell half stack, located away from the fuel inlet, received less fuel compared to the top 30-cell half stack. Dispersion analysis indicated the safe fuel utilization for the system should be maintained below 81 % to avoid fuel starvation. THD measurements revealed that fuel starvation could be effectively detected by sinusoidal excitation with frequencies between 0.01 and 0.1 Hz, where a high THD index was observed. The carbon deposition behavior was examined by adjusting the carbon to oxygen ratio (COR) at the catalytic partial oxidation reactor inlet. With COR up to 1, no significant carbon deposition was detected according to the EIS measurements, system voltage and temperature monitoring. During long-term operation under normal conditions, no substantial degradation was detected, demonstrating stable and reliable power and heat generation. The novelty of this work included (1) the identification of operational variability between two half stacks, (2) the rapid detection of fuel starvation conditions using THD analysis, (3) performance assessment under high carbon fuel feed, and (4) long-term degradation characterization.
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SunView 深度解读

该SOFC微型热电联供系统的快速诊断技术对阳光电源氢能储能系统具有重要借鉴价值。文中采用的电化学阻抗谱(EIS)和总谐波失真(THD)在线监测方法,可应用于ST系列储能变流器的电池健康状态诊断。燃料饥饿检测逻辑(0.01-0.1Hz正弦激励)可移植到PowerTitan系统的电池簇不均衡预警中。长期稳定性评估方法对iSolarCloud平台的预测性维护算法开发有启发意义,特别是多堆栈运行差异识别技术可优化储能系统的电芯一致性管理策略,提升系统安全性和寿命。