Fuzzy modelling for the state-of-charge estimation of lead-acid batteries
This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Burgos, Claudio [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method - Xiao, Hong ELSEVIER, 2013, the international journal on the science and technology of electrochemical energy systems, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:274 ; year:2015 ; day:15 ; month:01 ; pages:355-366 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.jpowsour.2014.10.036 |
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ELV013131001 |
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| 520 | |a This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. | ||
| 520 | |a This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. | ||
| 650 | 7 | |a State-of-charge |2 Elsevier | |
| 650 | 7 | |a Fuzzy modelling |2 Elsevier | |
| 650 | 7 | |a Lead-acid batteries |2 Elsevier | |
| 650 | 7 | |a Extended Kalman filter |2 Elsevier | |
| 700 | 1 | |a Sáez, Doris |4 oth | |
| 700 | 1 | |a Orchard, Marcos E. |4 oth | |
| 700 | 1 | |a Cárdenas, Roberto |4 oth | |
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10.1016/j.jpowsour.2014.10.036 doi GBV00000000000221A.pica (DE-627)ELV013131001 (ELSEVIER)S0378-7753(14)01645-0 DE-627 ger DE-627 rakwb eng 620 620 DE-600 690 VZ 50.92 bkl Burgos, Claudio verfasserin aut Fuzzy modelling for the state-of-charge estimation of lead-acid batteries 2015transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. State-of-charge Elsevier Fuzzy modelling Elsevier Lead-acid batteries Elsevier Extended Kalman filter Elsevier Sáez, Doris oth Orchard, Marcos E. oth Cárdenas, Roberto oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 https://doi.org/10.1016/j.jpowsour.2014.10.036 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 274 2015 15 0115 355-366 12 045F 620 |
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10.1016/j.jpowsour.2014.10.036 doi GBV00000000000221A.pica (DE-627)ELV013131001 (ELSEVIER)S0378-7753(14)01645-0 DE-627 ger DE-627 rakwb eng 620 620 DE-600 690 VZ 50.92 bkl Burgos, Claudio verfasserin aut Fuzzy modelling for the state-of-charge estimation of lead-acid batteries 2015transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. State-of-charge Elsevier Fuzzy modelling Elsevier Lead-acid batteries Elsevier Extended Kalman filter Elsevier Sáez, Doris oth Orchard, Marcos E. oth Cárdenas, Roberto oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 https://doi.org/10.1016/j.jpowsour.2014.10.036 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 274 2015 15 0115 355-366 12 045F 620 |
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10.1016/j.jpowsour.2014.10.036 doi GBV00000000000221A.pica (DE-627)ELV013131001 (ELSEVIER)S0378-7753(14)01645-0 DE-627 ger DE-627 rakwb eng 620 620 DE-600 690 VZ 50.92 bkl Burgos, Claudio verfasserin aut Fuzzy modelling for the state-of-charge estimation of lead-acid batteries 2015transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. State-of-charge Elsevier Fuzzy modelling Elsevier Lead-acid batteries Elsevier Extended Kalman filter Elsevier Sáez, Doris oth Orchard, Marcos E. oth Cárdenas, Roberto oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 https://doi.org/10.1016/j.jpowsour.2014.10.036 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 274 2015 15 0115 355-366 12 045F 620 |
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10.1016/j.jpowsour.2014.10.036 doi GBV00000000000221A.pica (DE-627)ELV013131001 (ELSEVIER)S0378-7753(14)01645-0 DE-627 ger DE-627 rakwb eng 620 620 DE-600 690 VZ 50.92 bkl Burgos, Claudio verfasserin aut Fuzzy modelling for the state-of-charge estimation of lead-acid batteries 2015transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. State-of-charge Elsevier Fuzzy modelling Elsevier Lead-acid batteries Elsevier Extended Kalman filter Elsevier Sáez, Doris oth Orchard, Marcos E. oth Cárdenas, Roberto oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 https://doi.org/10.1016/j.jpowsour.2014.10.036 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 274 2015 15 0115 355-366 12 045F 620 |
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10.1016/j.jpowsour.2014.10.036 doi GBV00000000000221A.pica (DE-627)ELV013131001 (ELSEVIER)S0378-7753(14)01645-0 DE-627 ger DE-627 rakwb eng 620 620 DE-600 690 VZ 50.92 bkl Burgos, Claudio verfasserin aut Fuzzy modelling for the state-of-charge estimation of lead-acid batteries 2015transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. State-of-charge Elsevier Fuzzy modelling Elsevier Lead-acid batteries Elsevier Extended Kalman filter Elsevier Sáez, Doris oth Orchard, Marcos E. oth Cárdenas, Roberto oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 https://doi.org/10.1016/j.jpowsour.2014.10.036 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 274 2015 15 0115 355-366 12 045F 620 |
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English |
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Enthalten in Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method New York, NY [u.a.] volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 |
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Enthalten in Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method New York, NY [u.a.] volume:274 year:2015 day:15 month:01 pages:355-366 extent:12 |
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Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method |
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Burgos, Claudio @@aut@@ Sáez, Doris @@oth@@ Orchard, Marcos E. @@oth@@ Cárdenas, Roberto @@oth@@ |
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Fuzzy modelling for the state-of-charge estimation of lead-acid batteries |
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This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. |
| abstractGer |
This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. |
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This paper introduces a novel fuzzy model based structure for the characterisation of discharge processes in lead-acid batteries. This structure is based on a fuzzy model that characterises the relationship between the battery open-circuit voltage (Voc), the state of charge (SoC), and the discharge current. The model is identified and validated using experimental data that is obtained from an experimental system designed to test battery banks with several charge/discharge profiles. For model identification purposes, two standard experimental tests are implemented; one of these tests is used to identify the Voc–SoC curve, while the other helps to identify additional parameters of the model. The estimation of SoC is performed using an Extended Kalman Filter (EKF) with a state transition equation that is based on the proposed fuzzy model. Performance of the proposed estimation framework is compared with other parametric approaches that are inspired on electrical equivalents; e.g., Thevenin, Plett, and Copetti. |
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Fuzzy modelling for the state-of-charge estimation of lead-acid batteries |
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