The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High-Performance Battery-Pack Power Estimation Using a Dynamic Cell Model
Abstract
In some battery applications, such as in hybrid electric vehicles or battery electric vehicles, it is necessary to be able to estimate, in real time, the present available power that may be sourced by the battery pack. Similarly, in rechargeable packs, it may be necessary to know how much charging power the pack can accept. These values must be carefully calculated in such a way that the pack will not be damaged by over/under charge or voltage or by exceeding a design current or power limit. This paper describes a method that uses a dynamic cell model and state-of-charge side information to very accurately predict the battery-pack available power.
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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
Self-citationExtended 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
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Cited by
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
Self-citationExtended 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
Self-citationWaag, W., Fleischer, C., & Sauer, D. U. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.02.064 · Cited by 1,059
Waag, W., Käbitz, S., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.09.030 · Cited by 987
State estimation for advanced battery management: Key challenges and future trends
Hu, X., Feng, F., Liu, K., Zhang, L., Xie, J., & Liu, B. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109334 · Cited by 857
Metadata
- Authors
- Plett, G. L.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2004-09
- Volume
- 53
- Issue
- 5
- Pages
- 1586-1593
- ISSN
- 0018-9545 (ISSN-L)
- OpenAlex
- W2163342696
- Cited by
- 290
- References
- 2
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Plett, G. L. (2004). High-Performance Battery-Pack Power Estimation Using a Dynamic Cell Model. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2004.832408
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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.
