Low-Intensity Low-Temperature (LILT) Power prediction of JUICE solar array

M. Kroon, E. Bongers, Cyril Cavel, C. Baur, Francesco Faleg, S. Riva
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引用次数: 2

Abstract

The JUICE spacecraft will operate in an unprecedented environment of low solar intensity, low temperature and very high radiation fluence. Common approaches for power analyses would introduce a large uncertainty in the power prediction and assuming worst-case degradation and loss factors would result in a non-compliance on power. This paper reports the techniques used to accurately predict the solar array power during various phases of the mission. The power cases include a hot-case prediction at Closest Sun Approach (0.64 AU) and Low-Intensity, Low-Temperature (LILT) predictions at Jupiter Orbit Insertion (5.42 AU) and End-of-Life (EOL) (5.03 AU). The begin-of-life cell data were based on LILT performance measurements on ca. 40 cells. The mission particle dose is expressed in terms of Displacement Damage Dose (DDD) for the 3G28 solar cell. Solar cell degradation data measured under LILT conditions are compared with AMO degradation data. Due to the significant spread in LILT radiation test data, a Monte-Carlo analysis was performed to estimate a current mismatch factor at EOL.
JUICE太阳能电池阵的低强度低温(LILT)功率预测
JUICE航天器将在一个前所未有的低太阳强度、低温和高辐射通量的环境中运行。常用的功率分析方法会在功率预测中引入很大的不确定性,并且假设最坏情况下的退化和损耗因素会导致功率不符合。本文报道了在任务的各个阶段准确预测太阳能电池阵功率的技术。功率情况包括最接近太阳的热情况预测(0.64 AU)和木星轨道插入(5.42 AU)和生命结束(EOL) (5.03 AU)的低强度,低温(LILT)预测。生命起始细胞的数据是基于大约40个细胞的LILT性能测量。任务粒子剂量以3G28太阳能电池的位移损伤剂量(DDD)表示。在LILT条件下测量的太阳能电池降解数据与AMO降解数据进行了比较。由于LILT辐射测试数据存在显著差异,因此采用蒙特卡罗分析来估计EOL处的电流失配因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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