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考虑倍率的平流层飞艇储能电池建模与分析
引用本文:刘松松,孙康文.考虑倍率的平流层飞艇储能电池建模与分析[J].北京航空航天大学学报,2022,48(1):182-192.
作者姓名:刘松松  孙康文
作者单位:1.北京航空航天大学 航空科学与工程学院, 北京 100083
基金项目:国家自然科学基金(51775021);;中央高校基本科研业务费专项资金(YWF-18-BH-Y-165)~~;
摘    要:准确掌握储能电池的实际电量是确保平流层飞艇实现长航时飞行的关键因素之一。首先,建立了平流层飞艇能源系统仿真模型,对能量输入和消耗进行动态分析。随后,对储能电池进行不同电流倍率的充放电测试,采用多项式拟合的方法,根据测试数据建立了储能电池充放电过程中荷电状态(SOC)、剩余放电时间(RDT)、剩余充电时间(RCT)的分析模型。最后,结合能源系统能量输入、消耗模型和储能电池模型进行飞行模拟仿真,获取各部分变化数据,与已有试验数据进行量化对比分析。结果表明:所构建储能电池模型在SOC、RDT、RCT的计算误差分别小于3%、1.5%、1.5%,能够准确反映电池工作过程中SOC、RDT、RCT的变化,可为平流层飞艇平台制定优化的飞行策略提供量化支撑。 

关 键 词:平流层飞艇    储能电池模型    荷电状态(SOC)    剩余放电时间(RDT)    剩余充电时间(RCT)
收稿时间:2020-09-14

Modeling and analysis of stratospheric airship' s energy storage battery considering rate
LIU Songsong,SUN Kangwen.Modeling and analysis of stratospheric airship' s energy storage battery considering rate[J].Journal of Beijing University of Aeronautics and Astronautics,2022,48(1):182-192.
Authors:LIU Songsong  SUN Kangwen
Affiliation:1.School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China2.Yunnan Innovation Institute, Beihang University, Kunming 650233, China3.Institute of Unmanned System, Beihang University, Beijing 100083, China
Abstract:Accurately grasping the actual power of energy storage battery is one of the key factors for the stratospheric airship to realize long-time flight. First, a simulation model of a stratospheric airship energy system was established to analyze the energy input and consumption dynamically. Then, charging and discharging tests of energy storage batteries with different electric current ratios were carried out. The polynomial fitting method was adopted to establish an analysis model of state of charge (SOC), remaining discharging time (RDT) and remaining charging time (RCT) in the process of charging and discharging of energy storage batteries. Finally, the flight simulation was carried out by combining the energy input and consumption models of the energy system and the battery model to obtain the variation data of each part. And the quantitative comparison and analysis with the existing experimental data were conducted. The results show that the calculated errors of the established energy storage battery model in SOC, RDT and RCT are less than 3%, 1.5% and 1.5% respectively, which can accurately reflect the changes of SOC, RDT and RCT during the battery working process, and can provide quantitative support for the formulation of optimal flight strategies for the stratospheric airship platform. 
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