Comparison of State-of-Charge estimation methods for stationary Lithium-ion batteries
Fecha
2016Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
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10.1109/IECON.2016.7794094
Resumen
An accurate monitoring of the State of Charge (SoC) is mandatory for an efficient management of a Lithium-ion battery. Batteries of stationary systems barely have long resting periods when the cumulative errors can be reset. These special requirements make a robust and accurate SoC estimation algorithm necessary. A real stationary system including an experimental microgrid with renewable energy g ...
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An accurate monitoring of the State of Charge (SoC) is mandatory for an efficient management of a Lithium-ion battery. Batteries of stationary systems barely have long resting periods when the cumulative errors can be reset. These special requirements make a robust and accurate SoC estimation algorithm necessary. A real stationary system including an experimental microgrid with renewable energy generation, home consumption and a 5.3 kWh Li-ion storage system is analyzed in this paper. Three representative SoC monitoring algorithms are applied and compared in terms of accuracy and robustness to battery aging and current measurement offset. A closed-loop method consisting of an adaptive filter and a state observer achieves best results while having a reasonable computational complexity. [--]
Materias
Lithium-ion battery,
Monitoring,
State of charge,
Microgrid
Editor
IEEE
Publicado en
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, p. 2010-2015, ISBN 978-1-5090-3475-8
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa eta Elektronikoa Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
Spanish Ministry of Economy and Competitiveness under grant DPI2013-42853-R, FPU Program of the Spanish Ministry of Education, Culture and Sport (FPUI3/00542) and 2015 Annual Grants for Research and Development of Fundación Bancaria Caja Navarra (supporting project 70276).