Advanced Lithium-Ion Battery Model for Power System Performance Analysis
The paper describes a novel approach in battery storage system modelling. Different types of lithium-ion batteries exhibit differences in performance due to the battery anode and cathode materials being the determining factors in the storage system performance. Because of this, the influence of mode...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/10/2411 |
| _version_ | 1827716998634668032 |
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| author | Szymon Potrykus Filip Kutt Janusz Nieznański Francisco Jesús Fernández Morales |
| author_facet | Szymon Potrykus Filip Kutt Janusz Nieznański Francisco Jesús Fernández Morales |
| author_sort | Szymon Potrykus |
| collection | DOAJ |
| description | The paper describes a novel approach in battery storage system modelling. Different types of lithium-ion batteries exhibit differences in performance due to the battery anode and cathode materials being the determining factors in the storage system performance. Because of this, the influence of model parameters on the model accuracy can be different for different battery types. These models are used in battery management system development for increasing the accuracy of SoC and SoH estimation. The model proposed in this work is based on Tremblay model of the lithium-ion battery. The novelty of the model lies in the approach used for parameter estimation as a function of battery physical properties. To make the model perform more accurately, the diffusion resistance dependency on the battery current and the Peukert effect were also included in the model. The proposed battery model was validated using laboratory measurements with a LG JP 1.5 lithium-ion battery. Additionally, the proposed model incorporates the influence of the battery charge and discharge current level on battery performance. |
| first_indexed | 2024-03-10T19:53:36Z |
| format | Article |
| id | doaj.art-722db5fa61734b069a269dcce833b30e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T19:53:36Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-722db5fa61734b069a269dcce833b30e2023-11-20T00:12:11ZengMDPI AGEnergies1996-10732020-05-011310241110.3390/en13102411Advanced Lithium-Ion Battery Model for Power System Performance AnalysisSzymon Potrykus0Filip Kutt1Janusz Nieznański2Francisco Jesús Fernández Morales3Faculty of Electrical and Control Engineering, Gdańsk University of Technology, 80-233 Gdańsk, PolandFaculty of Electrical and Control Engineering, Gdańsk University of Technology, 80-233 Gdańsk, PolandFaculty of Electrical and Control Engineering, Gdańsk University of Technology, 80-233 Gdańsk, PolandDepartment of Chemical Engineering, Instituto de Tecnología Química y Medioambiental, University of Castilla-La Mancha, 13071 Ciudad Real, SpainThe paper describes a novel approach in battery storage system modelling. Different types of lithium-ion batteries exhibit differences in performance due to the battery anode and cathode materials being the determining factors in the storage system performance. Because of this, the influence of model parameters on the model accuracy can be different for different battery types. These models are used in battery management system development for increasing the accuracy of SoC and SoH estimation. The model proposed in this work is based on Tremblay model of the lithium-ion battery. The novelty of the model lies in the approach used for parameter estimation as a function of battery physical properties. To make the model perform more accurately, the diffusion resistance dependency on the battery current and the Peukert effect were also included in the model. The proposed battery model was validated using laboratory measurements with a LG JP 1.5 lithium-ion battery. Additionally, the proposed model incorporates the influence of the battery charge and discharge current level on battery performance.https://www.mdpi.com/1996-1073/13/10/2411lithium-ion batteriesbattery modelling |
| spellingShingle | Szymon Potrykus Filip Kutt Janusz Nieznański Francisco Jesús Fernández Morales Advanced Lithium-Ion Battery Model for Power System Performance Analysis Energies lithium-ion batteries battery modelling |
| title | Advanced Lithium-Ion Battery Model for Power System Performance Analysis |
| title_full | Advanced Lithium-Ion Battery Model for Power System Performance Analysis |
| title_fullStr | Advanced Lithium-Ion Battery Model for Power System Performance Analysis |
| title_full_unstemmed | Advanced Lithium-Ion Battery Model for Power System Performance Analysis |
| title_short | Advanced Lithium-Ion Battery Model for Power System Performance Analysis |
| title_sort | advanced lithium ion battery model for power system performance analysis |
| topic | lithium-ion batteries battery modelling |
| url | https://www.mdpi.com/1996-1073/13/10/2411 |
| work_keys_str_mv | AT szymonpotrykus advancedlithiumionbatterymodelforpowersystemperformanceanalysis AT filipkutt advancedlithiumionbatterymodelforpowersystemperformanceanalysis AT janusznieznanski advancedlithiumionbatterymodelforpowersystemperformanceanalysis AT franciscojesusfernandezmorales advancedlithiumionbatterymodelforpowersystemperformanceanalysis |