A hybrid state-of-charge estimation method based on credible increment for electric vehicle applications with large sensor and model errors
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Combining data-driven and model-based techniques combines characteristics and achieves advantages of both approaches.
“The data-driven and model-based techniques are used together and in this the characteristics of both the approaches are combined and thus advantageous of both approaches are achieved [69].”
From Review Paper for SOC Estimation Techniques: Challenges and Future Areas for Improvement (2024) · cites this paper as [69]
Cites
A comparative study of equivalent circuit models for Li-ion batteries
Hu, X., Li, S., & Peng, H. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.10.013 · Cited by 2,179 · see citing works
A review on the key issues of the lithium ion battery degradation among the whole life cycle
Han, X., Lu, L., Zheng, Y., Feng, X., Li, Z., Li, J., & Ouyang, M. (2019) · eTransportation · doi:10.1016/j.etran.2019.100005 · Cited by 1,745 · see citing works
Self-citationHan, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., & Li, Z. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.029 · Cited by 822 · see citing works
Self-citationLiu, X., Chen, Z., Zhang, C., & Wu, J. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.02.072 · Cited by 235 · see citing works
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Wang, Z., Feng, G., Zhen, D., Gu, F., & Ball, A. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.08.113 · Cited by 441 · see citing works
Vasanthkumar, P., Revathi, A. R., Ramya Devi, G., Kavitha, R. J., Muniappan, A., & Karthikeyan, C. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102281 · Cited by 84 · see citing works
Lai, X., Meng, Z., Wang, S., Han, X., Zhou, L., Sun, T., Li, X., Wang, X., Ma, Y., & Zheng, Y. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126246 · Cited by 58 · see citing works
Self-citationChen, L., Liao, Z., & Ma, X. (2020) · IEEE Access · doi:10.1109/access.2020.3036644 · Cited by 19 · 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
- Authors
- Lai, X., Wang, S., He, L., Zhou, L., & Zheng, Y.
- Affiliations
- University of Shanghai for Science and Technology (CN)
- Corresponding author
- Zheng, Yuejiu
- Venue
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 27
- Pages
- 101106
- ISSN
- 2352-152X (ISSN-L)
- OpenAlex
- W2991032827
- Cited by
- 90
- References
- 4
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 11 · 2023: 10 · 2022: 17 · 2021: 17 · 2020: 22
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Energy Storage (publishedVersion)
- Funders
- National Natural Science Foundation of China (51977131, 51877138)
- Natural Science Foundation of Shanghai (19ZR1435800)
- Shanghai Science and Technology Development Fund (19QA1406200)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- state of charge estimation, electric vehicles, extended Kalman filter, hybrid estimation, sensor error, model error, battery management systems, water tank model, equivalent circuit model
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.
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