Multi-year field measurements of home storage systems and their use in capacity estimation

被引:1
|
作者
Figgener, Jan [1 ,2 ,3 ,4 ,5 ]
van Ouwerkerk, Jonas [1 ,2 ,3 ,4 ,5 ]
Haberschusz, David [1 ,2 ,3 ,4 ,5 ]
Bors, Jakob [2 ,3 ,5 ]
Woerner, Philipp [2 ,3 ]
Mennekes, Marc [2 ,3 ,5 ]
Hildenbrand, Felix [1 ,2 ,3 ,4 ]
Hecht, Christopher [1 ,2 ,3 ,4 ]
Kairies, Kai-Philipp [2 ,3 ,5 ]
Wessels, Oliver [2 ,3 ]
Sauer, Dirk Uwe [1 ,2 ,3 ,4 ,5 ,6 ]
机构
[1] Rhein Westfal TH Aachen, Ctr Ageing Reliabil & Lifetime Predict Electrochem, Aachen, Germany
[2] Rhein Westfal TH Aachen, Inst Power Elect & Elect Drives ISEA, Aachen, Germany
[3] Rhein Westfal TH Aachen, Inst Power Generat & Storage Syst PGS, EON ERC, Aachen, Germany
[4] JARA Energy, Juelich Aachen Res Alliance, Aachen, Germany
[5] ACCURE Battery Intelligence GmbH, Aachen, Germany
[6] Forschungszentrum Julich, Helmholtz Inst Munster HI MS, IMD 4, Julich, Germany
来源
NATURE ENERGY | 2024年 / 9卷 / 11期
关键词
LITHIUM-ION BATTERIES; OF-HEALTH ESTIMATION; CHARGE ESTIMATION; ONLINE STATE; CALENDAR; MODEL; LIFE; OPTIMIZATION; PREDICTION; DIAGNOSIS;
D O I
10.1038/s41560-024-01620-9
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Home storage systems play an important role in the integration of residential photovoltaic systems and have recently experienced strong market growth worldwide. However, standardized methods for quantifying capacity fade during field operation are lacking, and therefore the European batteries regulation demands the development of reliable and transparent state of health estimations. Here we present real-world data from 21 privately operated lithium-ion systems in Germany, based on up to 8 years of high-resolution field measurements. We develop a scalable capacity estimation method based on the operational data and validate it through regular field capacity tests. The results show that systems lose about two to three percentage points of usable capacity per year on average. Our contribution includes the publication of an impactful dataset comprising approximately 106 system years, 14 billion data points and 146 gigabytes, aiming to address the shortage of public datasets in this field. In battery research, the demand for public datasets to ensure transparent analyses of battery health is growing. Jan Figgener et al. meet this need with an 8-year study of 21 lithium-ion systems in Germany, generating a dataset of 14 billion data points that offers valuable insights into battery longevity for home storage.
引用
收藏
页码:1438 / 1447
页数:10
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