State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends

With the aggravation of environmental problems caused by the long-term dependence of shipping traffic on heavy fossil fuels, it is an irreversible development trend for electrified ships to integrate large-capacity battery energy storage systems (ESSs). As the main component, the shipboard lithium-i...

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Main Authors: Laiqiang Kong, Yingbing Luo, Sidun Fang, Tao Niu, Guanhong Chen, Lijun Yang, Ruijin Liao
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Green Energy and Intelligent Transportation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2773153724000446
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author Laiqiang Kong
Yingbing Luo
Sidun Fang
Tao Niu
Guanhong Chen
Lijun Yang
Ruijin Liao
author_facet Laiqiang Kong
Yingbing Luo
Sidun Fang
Tao Niu
Guanhong Chen
Lijun Yang
Ruijin Liao
author_sort Laiqiang Kong
collection DOAJ
description With the aggravation of environmental problems caused by the long-term dependence of shipping traffic on heavy fossil fuels, it is an irreversible development trend for electrified ships to integrate large-capacity battery energy storage systems (ESSs). As the main component, the shipboard lithium-ion battery (LIB) plays an important role in the operation of ship power system to balance the source and load sides. By analyzing the effects of temperature, vibration, humidity and salt spray on battery characteristics in the shipping environment, this paper points out that the characteristics of shipboard LIB have certain differences on the state changes with the land-based batteries. Then, this paper systematically reviews the most commonly used LIB modeling and state estimation methods and their applicability to the shipping environment, including the empirical models, electrochemical models, equivalent circuit models (ECMs) and data-driven models. On this basis, the state estimation methods of state of charge (SOC), state of power (SOP), state of health (SOH), state of energy (SOE) and state of temperature (SOT) are reviewed. Finally, the challenges and prospects of shipboard LIB research are prospected, in the hope of providing inspiration for the development and design of efficient and safe electric ships.
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publishDate 2025-06-01
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series Green Energy and Intelligent Transportation
spelling doaj-art-f8f3feda628b4c35a09d0f61286e4a0a2025-08-20T03:27:33ZengElsevierGreen Energy and Intelligent Transportation2773-15372025-06-014310019210.1016/j.geits.2024.100192State estimation of lithium-ion battery for shipboard applications: Key challenges and future trendsLaiqiang Kong0Yingbing Luo1Sidun Fang2Tao Niu3Guanhong Chen4Lijun Yang5Ruijin Liao6School of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaCorresponding author.; School of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Electrical Engineering, Chongqing University, Chongqing 400030, ChinaWith the aggravation of environmental problems caused by the long-term dependence of shipping traffic on heavy fossil fuels, it is an irreversible development trend for electrified ships to integrate large-capacity battery energy storage systems (ESSs). As the main component, the shipboard lithium-ion battery (LIB) plays an important role in the operation of ship power system to balance the source and load sides. By analyzing the effects of temperature, vibration, humidity and salt spray on battery characteristics in the shipping environment, this paper points out that the characteristics of shipboard LIB have certain differences on the state changes with the land-based batteries. Then, this paper systematically reviews the most commonly used LIB modeling and state estimation methods and their applicability to the shipping environment, including the empirical models, electrochemical models, equivalent circuit models (ECMs) and data-driven models. On this basis, the state estimation methods of state of charge (SOC), state of power (SOP), state of health (SOH), state of energy (SOE) and state of temperature (SOT) are reviewed. Finally, the challenges and prospects of shipboard LIB research are prospected, in the hope of providing inspiration for the development and design of efficient and safe electric ships.http://www.sciencedirect.com/science/article/pii/S2773153724000446Ship energy storageBattery modelingState estimationShipping environmentLithium-ion battery
spellingShingle Laiqiang Kong
Yingbing Luo
Sidun Fang
Tao Niu
Guanhong Chen
Lijun Yang
Ruijin Liao
State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
Green Energy and Intelligent Transportation
Ship energy storage
Battery modeling
State estimation
Shipping environment
Lithium-ion battery
title State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
title_full State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
title_fullStr State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
title_full_unstemmed State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
title_short State estimation of lithium-ion battery for shipboard applications: Key challenges and future trends
title_sort state estimation of lithium ion battery for shipboard applications key challenges and future trends
topic Ship energy storage
Battery modeling
State estimation
Shipping environment
Lithium-ion battery
url http://www.sciencedirect.com/science/article/pii/S2773153724000446
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