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基于LabVIEW的燃料电池船舶电力推进监控系统 被引量:2

Development of a monitoring unit for fuel cell ship electric propulsion system based on LabVIEW
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摘要 针对固定航线的小型游船,本文建立以质子交换膜燃料电池(PEMFC)水冷电堆和锂电池组成的船用混合电力推进实验平台。为适配模拟的船舶运行工况,通过DC/DC变换器调节PEMFC和锂电池间的功率分配,并利用LabVIEW上位机软件和PLC模块等数据采集单元,设计开发平台使用的监控系统。通过模拟船舶运行工况,考察在实现燃料电池与锂电池的能量分配的过程中,PEMFC工作温度、DC/DC变换器的输出电压波纹系数以及能量管理系统的响应时间。结果表明,PEMFC在最佳工作温度68℃运行,其误差控制在允许范围±2℃内;通过控制DC/DC变换器可以实现功率分配,其输出电压波纹系数不高于5%,过程响应时间为1 s。 For the typical operating conditions of a small type of cruise ship,this paper establishes an electric propulsion experimental platform consisting of a proton exchange membrane fuel cell(PEMFC)and a lithium battery.In order to achieve power adaption between the platform and the simulated ship operating conditions,the DC/DC converter is used to adjust the power distribution between fuel cells and lithium batteries,and the monitoring system of the platform is designed using data acquisition units such as LabVIEW and PLC module.The PEMFC operating temperature,the output voltage ripple factor of DC/DC converter and the response time of energy management system in the process of energy allocation between fuel cell and lithium battery are investigated by simulating the operating conditions of ships.The results show that PEMFC operates at the optimum operating temperature of 68 C,and its error is controlled within the allowable range of−2~2℃.Power distribution can be achieved by controlling the DC/DC converter,which has an output voltage ripple rate not exceeding 5%and the response time is limited to 1 s.
作者 朱子文 陈庆鹏 陈世俨 纪厚芝 傅清钰 ZHU Zi-wen;CHEN Qing-peng;CHEN Shi-yan;JI Hou-zhi;FU Qing-yu(Institute of Marine Engineering,Jimei University,Xiamen 361021,China;Xiamen Brach China Classification Society,Xiamen 361006,China;Xiamen Fanneng Technology Co.,Ltd,Xiamen 361021,China)
出处 《舰船科学技术》 北大核心 2023年第13期100-104,共5页 Ship Science and Technology
基金 福建省自然科学基金资助项目(2020J05139,2020J02041) 福建省中青年教师教育科研项目(JAT190333) 厦门市科技计划项目(3502Z20226011,3502Z20173026)。
关键词 质子交换膜燃料电池 船舶 电力推进 监测 LABVIEW PEMFC ship electric propulsion monitoring LabVIEW
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