The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm
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Cites
Thackeray, M. M., Wolverton, C., & Isaacs, E. D. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21892e · Cited by 2,515
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
Plett, G. L. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.02.033 · Cited by 1,768
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
Barré, A., Deguilhem, B., Grolleau, S., Gérard, M., Suard, F., & Riu, D. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.05.040 · Cited by 1,758
Ng, K. S., Moo, C.-S., Chen, Y.-P., & Hsieh, Y.-C. (2009) · Applied Energy · doi:10.1016/j.apenergy.2008.11.021 · Cited by 1,636
Support Vector Machines Used to Estimate the Battery State of Charge
Álvarez Antón, J. C., García Nieto, P. J., Blanco Viejo, C., & Vilán Vilán, J. A. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2013.2243918 · Cited by 512
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Xu, J., Mi, C. C., Cao, B., Deng, J., Chen, Z., & Li, S. (2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2013.2287375 · Cited by 367
Waag, W., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.05.001 · Cited by 216
Cited by
Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling
Saw, L. H., Ye, Y., Tay, A. A. O., Chong, W. T., Kuan, S. H., & Yew, M. C. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.05.122 · Cited by 527
Zheng, Y., Ouyang, M., Han, X., Lu, L., & Li, J. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.11.094 · Cited by 490
Lai, X., Zheng, Y., & Sun, T. (2018) · Electrochimica Acta · doi:10.1016/j.electacta.2017.10.153 · Cited by 484
SoC Estimation for Lithium-ion Batteries: Review and Future Challenges
Rivera-Barrera, J., Muñoz-Galeano, N., & Sarmiento-Maldonado, H. (2017) · Electronics · doi:10.3390/electronics6040102 · Cited by 447
Review on the Battery Model and SOC Estimation Method
Zhou, W., Zheng, Y., Pan, Z., & Lu, Q. (2021) · Processes · doi:10.3390/pr9091685 · Cited by 394
Metadata
- Authors
- Lin, C., Mu, H., Xiong, R., & Shen, W.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 166
- Pages
- 76-83
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2288626106
- Cited by
- 217
- References
- 7
- FWCI
- 23.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lin, C., Mu, H., Xiong, R., & Shen, W. (2016). A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm. Applied Energy. https://doi.org/10.1016/j.apenergy.2016.01.010
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
