Li-Ion Batteries for Electric Vehicle Applications: An Overview of Accurate State of Charge/State of Health Estimation Methods

被引：1

作者：

Dannier, Adolfo ^{[1
]}

Brando, Gianluca ^{[1
]}

Ribera, Mattia ^{[1
]}

Spina, Ivan ^{[1
]}

机构：

[1] Univ Napoli Federico II, Dept Elect Engn & Informat Technol, Via Claudio 21, I-80125 Naples, Italy

来源：

ENERGIES | 2025年 / 18卷 / 04期

关键词：

electric vehicle; battery; state of charge (SoC); state of health (SoH); monitoring; diagnostic; SINGLE-PARTICLE MODEL; KALMAN FILTER; OF-CHARGE; SOC;

D O I：

10.3390/en18040786

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Road transport significantly contributes to greenhouse gas emissions in all places where it is used and therefore also in Europe, prompting the EU to set ambitious objectives for CO2 reduction. In order to reach these objectives, the automotive industry is transitioning to electric vehicles, utilizing electric powertrains powered by battery packs. However, the longevity and reliability of these batteries are critical concerns. This review paper focuses on the advanced diagnostic techniques for effective battery State of Charge (SoC) and State of Health (SoH) monitoring. Accurate SoC/SoH estimation is crucial for optimizing battery performance, avoiding premature degradation, and ensuring driver safety. By investigating these areas, this paper aims to contribute to the development of more sustainable and durable electric vehicles, supporting the transition to cleaner transportation systems.

引用

页数：23

共 72 条

[1] Identifiability of Generalized Randles Circuit Models [J].

Alavi, Seyed Mohammad Mahdi ;

Mahdi, Adam ;

Payne, Stephen J. ;

Howey, David A. .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (06) :2112-2120

[2]

Baccouche I, 2018, Arxiv, DOI [arXiv:1803.10654, 10.48550/arXiv.1803.10654, DOI 10.48550/ARXIV.1803.10654]

[3] Li-ion battery modeling and characterization: An experimental overview on NMC battery [J].

Baccouche, Ines ;

Jemmali, Sabeur ;

Manai, Bilal ;

Nikolian, Alexandros ;

Omar, Noshin ;

Ben Amara, Najoua Essoukri .

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (04) :3843-3859

[4]

Baccouche I, 2015, 2015 IEEE 12TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD)

[5] A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems [J].

Barillas, Joaquin Klee ;

Li, Jiahao ;

Guenther, Clemens ;

Danzer, Michael A. .

APPLIED ENERGY, 2015, 155 :455-462

[6] Online Estimations of Li-Ion Battery SOC and SOH Applicable to Partial Charge/Discharge [J].

Bavand, Amin ;

Khajehoddin, S. Ali ;

Ardakani, Masoud ;

Tabesh, Ahmadreza .

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (03) :3673-3685

[7] Initial state of charge estimation of battery using impedance measurement for electrical vehicle applications [J].

Becherif, M. ;

Ramadan, H-S ;

Benmouna, A. ;

Jemei, S. .

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 54

[8] Ragone plots revisited: A review of methodology and application across energy storage technologies [J].

Beyers, Inga ;

Bensmann, Astrid ;

Hanke-Rauschenbach, Richard .

JOURNAL OF ENERGY STORAGE, 2023, 73

[9]

Brando G, 2014, 2014 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), P1092, DOI 10.1109/SPEEDAM.2014.6872021

[10] Real-Time Model-Based Estimation of SOC and SOH for Energy Storage Systems [J].

Cacciato, Mario ;

Nobile, Giovanni ;

Scarcella, Giuseppe ;

Scelba, Giacomo .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 2017, 32 (01) :794-803

← 1 2 3 4 5 6 7 8 →