Modelling and estimation in lithium-ion batteries: a literature review

Lithium-ion batteries are widely recognised as the leading technology for electrochemical energy storage. Their applications in the automotive industry and integration with renewable energy grids highlight their current significance and anticipate their substantial future impact. However, battery ma...

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Autores: Martí Florences, Miquel|||0009-0000-6672-0666, Cecilia Piñol, Andreu|||0000-0002-5579-4157, Costa Castelló, Ramon|||0000-0003-2553-5901
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:2117/395789
Acceso en línea:https://hdl.handle.net/2117/395789
https://dx.doi.org/10.3390/en16196846
Access Level:acceso abierto
Palabra clave:Lithium ion batteries
Energy storage
Li-ion batteries
Battery modelling
Single-particle model
Observers
State of charge estimation
State-of-health estimation
Bateries d'ió liti
Energia -- Emmagatzematge
Àrees temàtiques de la UPC::Energies::Tecnologia energètica
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spelling Modelling and estimation in lithium-ion batteries: a literature reviewMartí Florences, Miquel|||0009-0000-6672-0666Cecilia Piñol, Andreu|||0000-0002-5579-4157Costa Castelló, Ramon|||0000-0003-2553-5901Lithium ion batteriesEnergy storageLi-ion batteriesBattery modellingSingle-particle modelObserversState of charge estimationState-of-health estimationBateries d'ió litiEnergia -- EmmagatzematgeÀrees temàtiques de la UPC::Energies::Tecnologia energèticaLithium-ion batteries are widely recognised as the leading technology for electrochemical energy storage. Their applications in the automotive industry and integration with renewable energy grids highlight their current significance and anticipate their substantial future impact. However, battery management systems, which are in charge of the monitoring and control of batteries, need to consider several states, like the state of charge and the state of health, which cannot be directly measured. To estimate these indicators, algorithms utilising mathematical models of the battery and basic measurements like voltage, current or temperature are employed. This review focuses on a comprehensive examination of various models, from complex but close to the physicochemical phenomena to computationally simpler but ignorant of the physics; the estimation problem and a formal basis for the development of algorithms; and algorithms used in Li-ion battery monitoring. The objective is to provide a practical guide that elucidates the different models and helps to navigate the different existing estimation techniques, simplifying the process for the development of new Li-ion battery applications.This research received support from the Spanish Ministry of Science and Innovation under projects MAFALDA (PID2021-126001OB-C31 funded by MCIN/AEI/10.13039/501100011033/ ERDF,EU) and MASHED (TED2021-129927B-I00), and by FI Joan Oró grant (code 2023 FI-1 00827), cofinanced by the European Union.Peer Reviewed20232023-09-2720232023-11-03journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/395789https://dx.doi.org/10.3390/en16196846reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3957892026-05-27T15:37:01Z
dc.title.none.fl_str_mv Modelling and estimation in lithium-ion batteries: a literature review
title Modelling and estimation in lithium-ion batteries: a literature review
spellingShingle Modelling and estimation in lithium-ion batteries: a literature review
Martí Florences, Miquel|||0009-0000-6672-0666
Lithium ion batteries
Energy storage
Li-ion batteries
Battery modelling
Single-particle model
Observers
State of charge estimation
State-of-health estimation
Bateries d'ió liti
Energia -- Emmagatzematge
Àrees temàtiques de la UPC::Energies::Tecnologia energètica
title_short Modelling and estimation in lithium-ion batteries: a literature review
title_full Modelling and estimation in lithium-ion batteries: a literature review
title_fullStr Modelling and estimation in lithium-ion batteries: a literature review
title_full_unstemmed Modelling and estimation in lithium-ion batteries: a literature review
title_sort Modelling and estimation in lithium-ion batteries: a literature review
dc.creator.none.fl_str_mv Martí Florences, Miquel|||0009-0000-6672-0666
Cecilia Piñol, Andreu|||0000-0002-5579-4157
Costa Castelló, Ramon|||0000-0003-2553-5901
author Martí Florences, Miquel|||0009-0000-6672-0666
author_facet Martí Florences, Miquel|||0009-0000-6672-0666
Cecilia Piñol, Andreu|||0000-0002-5579-4157
Costa Castelló, Ramon|||0000-0003-2553-5901
author_role author
author2 Cecilia Piñol, Andreu|||0000-0002-5579-4157
Costa Castelló, Ramon|||0000-0003-2553-5901
author2_role author
author
dc.subject.none.fl_str_mv Lithium ion batteries
Energy storage
Li-ion batteries
Battery modelling
Single-particle model
Observers
State of charge estimation
State-of-health estimation
Bateries d'ió liti
Energia -- Emmagatzematge
Àrees temàtiques de la UPC::Energies::Tecnologia energètica
topic Lithium ion batteries
Energy storage
Li-ion batteries
Battery modelling
Single-particle model
Observers
State of charge estimation
State-of-health estimation
Bateries d'ió liti
Energia -- Emmagatzematge
Àrees temàtiques de la UPC::Energies::Tecnologia energètica
description Lithium-ion batteries are widely recognised as the leading technology for electrochemical energy storage. Their applications in the automotive industry and integration with renewable energy grids highlight their current significance and anticipate their substantial future impact. However, battery management systems, which are in charge of the monitoring and control of batteries, need to consider several states, like the state of charge and the state of health, which cannot be directly measured. To estimate these indicators, algorithms utilising mathematical models of the battery and basic measurements like voltage, current or temperature are employed. This review focuses on a comprehensive examination of various models, from complex but close to the physicochemical phenomena to computationally simpler but ignorant of the physics; the estimation problem and a formal basis for the development of algorithms; and algorithms used in Li-ion battery monitoring. The objective is to provide a practical guide that elucidates the different models and helps to navigate the different existing estimation techniques, simplifying the process for the development of new Li-ion battery applications.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-09-27
2023
2023-11-03
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/395789
https://dx.doi.org/10.3390/en16196846
url https://hdl.handle.net/2117/395789
https://dx.doi.org/10.3390/en16196846
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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