SoC estimation in lithium-ion batteries with noisy measurements and absence of excitation
Accurate State-of-Charge estimation is crucial for applications that utilise lithium-ion batteries. In real-time scenarios, battery models tend to present significant uncertainty, making it desirable to jointly estimate both the State of Charge and relevant unknown model parameters. However, paramet...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/399148 |
| Acceso en línea: | https://hdl.handle.net/2117/399148 https://dx.doi.org/10.3390/batteries9120578 |
| Access Level: | acceso abierto |
| Palabra clave: | Lithium ion batteries Storage batteries Energy storage Li-ion batteries Equivalent circuit model State-of-Charge estimation Observers GPEBO Acumuladors Energia -- Emmagatzematge Bateries d'ió liti Àrees temàtiques de la UPC::Enginyeria elèctrica |
| Sumario: | Accurate State-of-Charge estimation is crucial for applications that utilise lithium-ion batteries. In real-time scenarios, battery models tend to present significant uncertainty, making it desirable to jointly estimate both the State of Charge and relevant unknown model parameters. However, parameter estimation typically necessitates that the battery input signals induce a persistence of excitation property, a need which is often not met in practical operations. This document introduces a joint state of charge/parameter estimator that relaxes this stringent requirement. This estimator is based on the Generalized Parameter Estimation-Based Observer framework. To the best of the authors’ knowledge, this is the first time it has been applied in the context of lithium-ion batteries. Its advantages are demonstrated through simulations. |
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