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基于扩展卡尔曼滤波的PEMFC 状态及参数估计研究
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周苏(1961-),男,江苏苏州人,教授,工学博士,研究方向:燃料电池系统建模、仿真、控制和集成。 |
收稿日期: 2019-05-11
网络出版日期: 2025-05-19
PEMFC State and Parameter Estimation Based onEKF with Tracking Factor
Received date: 2019-05-11
Online published: 2025-05-19
以燃料电池为动力的新型能源动力巡飞弹,相较于锂电池巡飞弹,具有更高的能量密度和较低的热红外特性,更适合长时间的侦查飞行任务。质子交换膜燃料电池(PEMFC)具有工作温度低、启动快、比功率高、结构简单、操作方便等优点,是目前最受关注的燃料电池解决方案。文中提出一种在PEMFC变工况下运行过程利用扩展卡尔曼滤波算法实时估计PEMFC状态及参数的方法。通过构建半机理半经验PEMFC动态模型,并基于此模型利用PEMFC系统既有传感器信号构建适用于PEMFC系统的扩展卡尔曼滤波算法,实现了PEMFC内部反应气体分压以及PEMFC欧姆内阻参数的实时估计,为PEMFC的运行状态监测和故障诊断提供依据。
周苏 , 王彦骄 , 蒋璐蔚 , 金杰 . 基于扩展卡尔曼滤波的PEMFC 状态及参数估计研究[J]. 弹箭与制导学报, 2019 , 39(4) : 45 -49 . DOI: 10.15892/j.cnki.djzdxb.2019.04.012
Scout missile using fuel cell as propulsion system has a higher energy density and a more invisible thermal infrared characteristic compared with that using storage battery. Proton exchange membrane fuel cell (PEMFC) stands out as the most commonly used fuel cell due to its high efficiency, fast start-up at room temperature, zero pollution characteristics. In this paper, a lumped parameter dynamic model considering PEMFC's mass transfer and electrochemical process is established, and then an EKF algorithm is built based on this model to on-line estimate PEMFC's state character and ohmic resistance factor. The EKF algorithm is tested with PEMFC bench test and is proved to be valid for on-line estimation of PEMFC's hydrogen/oxygen partial pressure and PEMFC's Ohmic resistance. The result of this paper helps to improve PEMFC's performance durability.
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