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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Batteries |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-0105/9/12/578 |
| _version_ | 1797382068006551552 |
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| author | Miquel Martí-Florences Andreu Cecilia Piñol Alejandro Clemente Ramon Costa-Castelló |
| author_facet | Miquel Martí-Florences Andreu Cecilia Piñol Alejandro Clemente Ramon Costa-Castelló |
| author_sort | Miquel Martí-Florences |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T21:00:09Z |
| format | Article |
| id | doaj.art-e8479b7276684c42946a15a89cc43117 |
| institution | Directory Open Access Journal |
| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-03-08T21:00:09Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj.art-e8479b7276684c42946a15a89cc431172023-12-22T13:53:25ZengMDPI AGBatteries2313-01052023-11-0191257810.3390/batteries9120578SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of ExcitationMiquel Martí-Florences0Andreu Cecilia Piñol1Alejandro Clemente2Ramon Costa-Castelló3ETSEIB, ESAII, Universitat Politècnica de Catalunya, Avinguda Diagonal, 647, 08028 Barcelona, SpainETSEIB, ESAII, Universitat Politècnica de Catalunya, Avinguda Diagonal, 647, 08028 Barcelona, SpainETSEIB, ESAII, Universitat Politècnica de Catalunya, Avinguda Diagonal, 647, 08028 Barcelona, SpainETSEIB, ESAII, Universitat Politècnica de Catalunya, Avinguda Diagonal, 647, 08028 Barcelona, SpainAccurate 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.https://www.mdpi.com/2313-0105/9/12/578li-ion batteriesequivalent circuit modelState-of-Charge estimationobserversGPEBO |
| spellingShingle | Miquel Martí-Florences Andreu Cecilia Piñol Alejandro Clemente Ramon Costa-Castelló SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation Batteries li-ion batteries equivalent circuit model State-of-Charge estimation observers GPEBO |
| title | SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation |
| title_full | SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation |
| title_fullStr | SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation |
| title_full_unstemmed | SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation |
| title_short | SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation |
| title_sort | soc estimation in lithium ion batteries with noisy measurements and absence of excitation |
| topic | li-ion batteries equivalent circuit model State-of-Charge estimation observers GPEBO |
| url | https://www.mdpi.com/2313-0105/9/12/578 |
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