Energy Storage Systems for Transport and Grid Applications
Abstract
Energy storage systems (ESSs) are enabling technologies for well-established and new applications such as power peak shaving, electric vehicles, integration of renewable energies, etc. This paper presents a review of ESSs for transport and grid applications, covering several aspects as the storage technology, the main applications, and the power converters used to operate some of the energy storage technologies. Special attention is given to the different applications, providing a deep description of the system and addressing the most suitable storage technology. The main objective of this paper is to introduce the subject and to give an updated reference to nonspecialist, academic, and engineers in the field of power electronics.
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Due to intrinsic peculiarities of ECMs, there is deficiency in capturing non-linear battery behaviors induced by load variations, which will undermine SOE estimation accuracy if ECMs work alone under strenuous loads.
“Additionally, due to the intrinsical peculiarities of ECMs, there is some deficiency in capturing the non -linear battery behaviors induced by the load variations and will undermine the SOE estimation accuracy if ECMs work alone under strenuous loads.”
From A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects (2018) · cites this paper as [30]
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Stroe, D.-I., Swierczynski, M., Stan, A.-I., Teodorescu, R., & Andreasen, S. J. (2014) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2014.2321028 · Cited by 176 · see citing works
Qahouq, J. A. A., & Xia, Z. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2686324 · Cited by 174 · see citing works
Cusenza, M. A., Guarino, F., Longo, S., Mistretta, M., & Cellura, M. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.01.032 · Cited by 174 · see citing works
Li, K., Wei, F., Tseng, K. J., & Soong, B.-H. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2779411 · Cited by 160 · see citing works
Wali, S. B., Hannan, M. A., Reza, M. S., Ker, P. J., Begum, R. A., Rahman, M. S. A., & Mansor, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102296 · Cited by 149 · see citing works
Lee, H.-S., & Yun, J.-J. (2019) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2018.2860059 · Cited by 123 · see citing works
Generating and storing power on the Moon using in situ resources
Ellery, A. (2022) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/09544100211029433 · Cited by 34 · see citing works
A high-fidelity hybrid lithium-ion battery model for SOE and runtime prediction
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- Authors
- Vazquez, S., Lukic, S. M., Galvan, E., Franquelo, L. G., & Carrasco, J. M.
- Affiliations
- North Carolina State University (US)
- Universidad de Sevilla (ES)
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2010-12
- Volume
- 57
- Issue
- 12
- Pages
- 3881-3895
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2146419443
- Cited by
- 1,347
- References
- 117
- Citations by year
- 2026: 35 · 2025: 51 · 2024: 66 · 2023: 83 · 2022: 103 · 2021: 105 · 2020: 115 · 2019: 115 · 2018: 104 · 2017: 113 · 2016: 104 · 2015: 115 · 2014: 95 · 2013: 64 · 2012: 54
- FWCI
- 41.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Industrial Electronics (publishedVersion)
- Topics
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Keywords
- energy storage systems, electric vehicles, power grid applications, power converters, power electronics, peak shaving, renewable energy integration, storage technology selection, transportation applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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