| 基于FFRLS的多堆燃料电池系统功率分配方法 |
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| 引用本文： | 梁建英,陈维荣.基于FFRLS的多堆燃料电池系统功率分配方法[J].西南交通大学学报,2022,57(4):722-728, 782. |
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| 作者姓名： | 梁建英 陈维荣 |
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| 作者单位： | 1.中车青岛四方机车车辆股份有限公司，山东 青岛 2660002.西南交通大学电气工程学院，四川 成都 610031 |
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| 基金项目： | 国家自然科学基金（2077180）； |
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| 摘 要： | 为减小多堆燃料电池系统 （multi-stack fuel cell system, MFCS）中单体燃料电池运行期间输出功率的大范围变化，提高MFCS平均效率，以保证各燃料电池长期稳定运行，针对大功率质子交换膜燃料电池 （proton exchange membrane fuel cell，PEMFC）系统，提出了一种基于遗忘因子递推最小二乘 （forgetting factor recursive least square，FFRLS）在线辨识地改进链式功率分配方法. 该方法利用FFRLS算法的实时在线辨识能力估算运行中的每个燃料电池最大效率范围 （maximum efficiency range，MER），并将其边界值作为约束参考值实时更新链式功率的限定区间；然后，依据负载需求功率变化和各燃料电池效率高低顺序分配各电堆出力；最后，在搭建的RT-LAB半实物平台上进行试验分析. 试验结果表明:与平均功率分配和传统链式功率分配方法相比，本文所提方法对MFCS效率分别提高了0.93%和1.95%.
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| 关 键 词： | 多堆燃料电池系统 遗忘因子递推最小二乘 最大效率范围 改进链式功率分配 半实物平台 |
| 收稿时间： | 2020-11-20 |
Power Distribution Method of Multi-Stack Fuel Cell System Based on Forgetting?Factor?Recursive Least?Square |
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| LIANG Jianying,CHEN Weirong.Power Distribution Method of Multi-Stack Fuel Cell System Based on Forgetting?Factor?Recursive Least?Square[J].Journal of Southwest Jiaotong University,2022,57(4):722-728, 782. |
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| Authors: | LIANG Jianying CHEN Weirong |
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| Affiliation: | 1.CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd, Qingdao 266000, China2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | In order to reduce the large-scale variation in the output power of the single fuel cell during the operation of the multi-stack fuel cell system (MFCS), improve the average efficiency of the MFCS and ensure the long-term stable operation of each fuel cell, based on the forgetting factor recursive least squares (FFRLS), an improved chain power distribution method with online identification is proposed for the high-power proton exchange membrane fuel cell system. This method uses the real-time online identification capability of the FFRLS algorithm to estimate the maximum efficiency range (MER) of each fuel cell in operation, and uses its boundary value as the constraint reference value to update the limited range of chain power in real time. Then the output of each stack is distributed according to the load demand power change and the order of fuel cell efficiency. Finally, on the semi-physical platform RT-LAB, compared with the average and traditional chain power distribution methods, the proposed method improves the efficiency of MFCS by 0.93% and 1.95% respectively. |
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