Battery state-of-charge estimator using the SVM technique
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Cited by
Sorted by citations
Waag, W., Fleischer, C., & Sauer, D. U. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.064 · Cited by 1,059 · see citing works
Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
Chemali, E., Kollmeyer, P. J., Preindl, M., Ahmed, R., & Emadi, A. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2787586 · Cited by 906 · see citing works
Predicting the state of charge and health of batteries using data-driven machine learning
Ng, M.-F., Zhao, J., Yan, Q., Conduit, G. J., & Seh, Z. W. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0156-7 · Cited by 793 · see citing works
Nyamathulla, S., & Dhanamjayulu, C. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111179 · Cited by 518 · see citing works
Vidal, C., Malysz, P., Kollmeyer, P., & Emadi, A. (2020) · IEEE Access · doi:10.1109/access.2020.2980961 · Cited by 512 · see citing works
Klass, V., Behm, M., & Lindbergh, G. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.116 · Cited by 381 · see citing works
Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., Karim, T. F., & How, D. N. T. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124110 · Cited by 378 · see citing works
A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries
Xiong, R., Zhang, Y., He, H., Zhou, X., & Pecht, M. G. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2733475 · Cited by 285 · see citing works
Shrivastava, P., Naidu, P. A., Sharma, S., Panigrahi, B. K., & Garg, A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107159 · Cited by 205 · see citing works
D.V.S.R., S., Badachi, C., & Green II, R. C. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108420 · Cited by 98 · see citing works
Wu, X., Li, M., Du, J., & Hu, F. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.01.056 · Cited by 53 · see citing works
Aung, H., Soon, J. J., Goh, S. T., Lew, J. M., & Low, K.-S. (2020) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2019.2958161 · Cited by 41 · see citing works
Terala, P. K., Ogundana, A. S., Foo, S. Y., Amarasinghe, M. Y., & Zang, H. (2022) · Micromachines · doi:10.3390/mi13091397 · Cited by 26 · see citing works
Wu, Y., Bai, D., Zhang, K., Li, Y., & Yang, F. (2025) · Journal of Materials Informatics · doi:10.20517/jmi.2024.84 · Cited by 20 · see citing works
Review Paper for SOC Estimation Techniques: Challenges and Future Areas for Improvement
Rehman, A. (2024) · Power System Technology · doi:10.52783/pst.906 · Cited by 12 · see citing works
Sadykov, M., Haines, S., Walker, G., & Holmes, D. W. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113516 · Cited by 3 · see citing works
- Authors
- Álvarez Antón, J. C., García Nieto, P. J., de Cos Juez, F. J., Sánchez Lasheras, F., González Vega, M., & Roqueñí Gutiérrez, M. N.
- Venue
- Applied Mathematical Modelling
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 37
- Issue
- 9
- Pages
- 6244-6253
- ISSN
- 0307-904X (ISSN-L)
- OpenAlex
- W2006283899
- Cited by
- 211
- References
- 0
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 31 · 2023: 29 · 2022: 20 · 2021: 26 · 2020: 15 · 2019: 20 · 2018: 8 · 2017: 10 · 2016: 7 · 2015: 12 · 2014: 6 · 2013: 1
- FWCI
- 13.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1469 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Applied Mathematical Modelling (publishedVersion)
- Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte) (submittedVersion, cc-by-nc-nd)
- Funders
- Spanish Science and Innovation Ministry (MICINN)
- Departments of Mathematics, Construction and Mining Exploitation at University of Oviedo
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- state of charge estimation, support vector machine, lithium iron phosphate batteries, electric vehicles, hybrid electric vehicles, battery management systems, battery parameters
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 ›
Are you an author, or do you see a problem with this page? Request a review
