LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control
Consumer electronics, wearable and personal health devices, power networks, microgrids, and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion batteries. Their optimal design and management are important for safe and profitable operations. The use of accurate mathematic...
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| Format: | Article |
| Language: | en_US |
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Electrochemical Society
2017
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| Online Access: | http://hdl.handle.net/1721.1/109916 https://orcid.org/0000-0003-4304-3484 |
| _version_ | 1811092737771962368 |
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| author | Torchio, Marcello Magni, Lalo Gopaluni, R. Bhushan Raimondo, Davide M. Braatz, Richard D |
| author2 | Massachusetts Institute of Technology. Department of Chemical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Chemical Engineering Torchio, Marcello Magni, Lalo Gopaluni, R. Bhushan Raimondo, Davide M. Braatz, Richard D |
| author_sort | Torchio, Marcello |
| collection | MIT |
| description | Consumer electronics, wearable and personal health devices, power networks, microgrids, and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion batteries. Their optimal design and management are important for safe and profitable operations. The use of accurate mathematical models can help in achieving the best performance. This article provides a detailed description of a finite volume method (FVM) for a pseudo-two-dimensional (P2D) Li-ion battery model suitable for the development of model-based advanced battery management systems. The objectives of this work are to provide: (i) a detailed description of the model formulation, (ii) a parametrizable Matlab framework for battery design, simulation, and control of Li-ion cells or battery packs, (iii) a validation of the proposed numerical implementation with respect to the COMSOL MultiPhysics commercial software and the Newman’s DUALFOIL code, and (iv) some demonstrative simulations involving thermal dynamics, a hybrid charge-discharge cycle emulating the throttle of an HEV, a model predictive control of state of charge, and a battery pack simulation |
| first_indexed | 2024-09-23T15:24:16Z |
| format | Article |
| id | mit-1721.1/109916 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:24:16Z |
| publishDate | 2017 |
| publisher | Electrochemical Society |
| record_format | dspace |
| spelling | mit-1721.1/1099162022-09-29T14:37:05Z LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control Torchio, Marcello Magni, Lalo Gopaluni, R. Bhushan Raimondo, Davide M. Braatz, Richard D Massachusetts Institute of Technology. Department of Chemical Engineering Braatz, Richard D Consumer electronics, wearable and personal health devices, power networks, microgrids, and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion batteries. Their optimal design and management are important for safe and profitable operations. The use of accurate mathematical models can help in achieving the best performance. This article provides a detailed description of a finite volume method (FVM) for a pseudo-two-dimensional (P2D) Li-ion battery model suitable for the development of model-based advanced battery management systems. The objectives of this work are to provide: (i) a detailed description of the model formulation, (ii) a parametrizable Matlab framework for battery design, simulation, and control of Li-ion cells or battery packs, (iii) a validation of the proposed numerical implementation with respect to the COMSOL MultiPhysics commercial software and the Newman’s DUALFOIL code, and (iv) some demonstrative simulations involving thermal dynamics, a hybrid charge-discharge cycle emulating the throttle of an HEV, a model predictive control of state of charge, and a battery pack simulation 2017-06-15T19:50:11Z 2017-06-15T19:50:11Z 2016-04 2016-03 Article http://purl.org/eprint/type/JournalArticle 0013-4651 1945-7111 http://hdl.handle.net/1721.1/109916 Torchio, Marcello et al. “LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control.” Journal of The Electrochemical Society 163.7 (2016): A1192–A1205. © 2016 The Electrochemical Society https://orcid.org/0000-0003-4304-3484 en_US http://dx.doi.org/10.1149/2.0291607jes Journal of The Electrochemical Society Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Electrochemical Society MIT Web Domain |
| spellingShingle | Torchio, Marcello Magni, Lalo Gopaluni, R. Bhushan Raimondo, Davide M. Braatz, Richard D LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title | LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title_full | LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title_fullStr | LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title_full_unstemmed | LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title_short | LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control |
| title_sort | lionsimba a matlab framework based on a finite volume model suitable for li ion battery design simulation and control |
| url | http://hdl.handle.net/1721.1/109916 https://orcid.org/0000-0003-4304-3484 |
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