The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Battery state of charge estimation using a load-classifying neural network
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Citations
Cites
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
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
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.2004.02.031 · Cited by 1,385
Sun, F., Hu, X., Zou, Y., & Li, S. (2011) · Energy · doi:10.1016/j.energy.2011.03.059 · Cited by 614
Rapid test and non-linear model characterisation of solid-state lithium-ion batteries
Abu-Sharkh, S., & Doerffel, D. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2003.12.001 · Cited by 366
Waag, W., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.05.001 · Cited by 216
Cited by
Wang, Y., Tian, J., Sun, Z., Wang, L., Xu, R., Li, M., & Chen, Z. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110015 · Cited by 1,377
Chemali, E., Kollmeyer, P. J., Preindl, M., & Emadi, A. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.06.104 · Cited by 818
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
Shrivastava, P., Soon, T. K., Idris, M. Y. I. B., & Mekhilef, S. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.06.040 · Cited by 704
Vidal, C., Malysz, P., Kollmeyer, P., & Emadi, A. (2020) · IEEE Access · doi:10.1109/access.2020.2980961 · Cited by 512
Metadata
- Authors
- Tong, S., Lacap, J. H., & Park, J. W.
- Venue
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 7
- Pages
- 236-243
- ISSN
- 2352-152X (ISSN-L)
- OpenAlex
- W2498799405
- Cited by
- 234
- References
- 6
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Battery state of charge estimation using a load-classifying neural network. https://app.cochat.ai/papers/10.1016/j.est.2016.07.002
- The paper
- Tong, S., Lacap, J. H., & Park, J. W. (2016). Battery state of charge estimation using a load-classifying neural network. Journal of Energy Storage. https://doi.org/10.1016/j.est.2016.07.002
Data sources
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.
