The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
A comprehensive review on estimation strategies used in hybrid and battery electric vehicles
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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.2004.02.032 · Cited by 1,923
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
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
Xing, Y., He, W., Pecht, M., & Tsui, K. L. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.07.008 · Cited by 977
He, H., Xiong, R., Zhang, X., Sun, F., & Fan, J. (2011) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2011.2132812 · Cited by 825
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
Battery-Management System (BMS) and SOC Development for Electrical Vehicles
Cheng, K. W. E., Divakar, B. P., Wu, H., Ding, K., & Ho, H. F. (2011) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2089647 · Cited by 692
Rezvanizaniani, S. M., Liu, Z., Chen, Y., & Lee, J. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.01.085 · Cited by 684
The State of Charge Estimating Methods for Battery: A Review
Chang, W.-Y. (2013) · ISRN Applied Mathematics · doi:10.1155/2013/953792 · Cited by 650
Sun, F., Hu, X., Zou, Y., & Li, S. (2011) · Energy · doi:10.1016/j.energy.2011.03.059 · Cited by 614
Cited by
Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.001 · Cited by 2,005
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
A review of Battery Electric Vehicle technology and readiness levels
Mahmoudzadeh Andwari, A., Pesiridis, A., Rajoo, S., Martinez-Botas, R., & Esfahanian, V. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.03.138 · Cited by 784
Lipu, 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
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
Metadata
- Authors
- Cuma, M. U., & Koroglu, T.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 42
- Pages
- 517-531
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2075395554
- Cited by
- 344
- References
- 154
- FWCI
- 33.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A comprehensive review on estimation strategies used in hybrid and battery electric vehicles. https://app.cochat.ai/papers/10.1016/j.rser.2014.10.047
- The paper
- Cuma, M. U., & Koroglu, T. (2015). A comprehensive review on estimation strategies used in hybrid and battery electric vehicles. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2014.10.047
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.
