The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles
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Citations
Cites
Ageing mechanisms in lithium-ion batteries
Vetter, J., Novák, P., Wagner, M. R., Veit, C., Möller, K.-C., Besenhard, J. O., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., & Hammouche, A. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.01.006 · Cited by 3,987
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
Prognostics methods for battery health monitoring using a bayesian framework
Saha, B., Goebel, K., Poll, S., & Christophersen, J. (2009) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.2005965 · Cited by 831
A review on prognostics and health monitoring of Li-ion battery
Zhang, J., & Lee, J. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.03.101 · Cited by 792
Andre, D., Meiler, M., Steiner, K., Wimmer, C., Soczka-Guth, T., & Sauer, D. U. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.12.102 · Cited by 703 · cited 2×
“More information about the EIS technique in general can be found in Barsoukov and Macdonald (2005) and an application on lithium-ion batteries is given in Andre et al. (2011).”
MethodSelf-citation
Cited by
Waag, W., Fleischer, C., & Sauer, D. U. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.064 · Cited by 1,059
Self-citationLipu, M. S. H., Hannan, M. A., Hussain, A., Hoque, M. M., Ker, P. J., Saad, M. H. M., & Ayob, A. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.09.065 · Cited by 755
Nejad, S., Gladwin, D. T., & Stone, D. A. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.03.042 · Cited by 565
Vidal, C., Malysz, P., Kollmeyer, P., & Emadi, A. (2020) · IEEE Access · doi:10.1109/access.2020.2980961 · Cited by 512
Hu, X., Jiang, J., Cao, D., & Egardt, B. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2461523 · Cited by 504
Metadata
- Authors
- Andre, D., Nuhic, A., Soczka-Guth, T., & Sauer, D. U.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 26
- Issue
- 3
- Pages
- 951-961
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2053199107
- Cited by
- 199
- References
- 5
- FWCI
- 19.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles. https://app.cochat.ai/papers/10.1016/j.engappai.2012.09.013
- The paper
- Andre, D., Nuhic, A., Soczka-Guth, T., & Sauer, D. U. (2013). Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2012.09.013
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.