Comparisons of Algorithms for End-of-Life Detection of Lead-Acid Batteries Used in Off-Grid PV System

被引：0
|
作者：
Campanholi Tome, Sandra Maria [1 ]
Arioli, Vitor Torquato [1 ]
Rosolem, Maria de Fatima N. C. [1 ]
do Nascimento, Thiago Chiachio [1 ]
da Silva Oliveira, Gisele Pires [1 ]
Vieira, Cesar S. [2 ]
机构：
[1] CPQD, Power Syst Area, Campinas, Brazil
[2] Guascor Brasil, R&D Dept, Sao Paulo, Brazil
来源：
2020 47TH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC) | 2020年
关键词：
lead-acid battery; prediction; remote failure detection; reliability; HEALTH;
D O I：
10.1109/pvsc45281.2020.9300833
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：
For remote PV plants, having a way to detect battery's end-of-life with some weeks in advance is a need. There are several algorithms for such detection. However, how they could work at field plant is not clear, neither is the performance comparison among them. The paper presents a direct comparison among some algorithms for lead-acid batteries, suited for field use. They were tested against sets of data collected with batteries' accelerated ageing tests. Algorithms are: rate of voltage change, internal impedance, direct entropy and modified charge factor. Direct entropy has proven being most robust of them.
引用
收藏
页码：1393 / 1397
页数：5
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