The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles
Abstract
This paper presents an easy-to-use battery model applied to dynamic simulation software. The simulation model uses only the battery State-Of-Charge (SOC) as a state variable in order to avoid the algebraic loop problem. It is shown that this model, composed of a controlled voltage source in series with a resistance, can accurately represent four types of battery chemistries. The model's parameters can easily be extracted from the manufacturer's discharge curve, which allows for an easy use of the model. A method is described to extract the model's parameters and to approximate the internal resistance. The model is validated by superimposing the results with the manufacturer's discharge curves. Finally, the battery model is included in the SimPowerSystems (SPS) simulation software and is used in the Hybrid Electric Vehicle (HEV) demo. The results for the battery and for the DC-DC converter are analysed and they show that the model can accurately represent the general behaviour of the battery.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Design of Primary and Secondary Cells
Shepherd, C. M. (1965) · Journal of The Electrochemical Society · doi:10.1149/1.2423659 · Cited by 510
Dynamic model of a lead acid battery for use in a domestic fuel cell system
Dürr, M., Cruden, A., Gair, S., & McDonald, J. R. (2006) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.12.075 · Cited by 245
Dynamic modelling of lead/acid batteries using impedance spectroscopy for parameter identification
Mauracher, P., & Karden, E. (1997) · Journal of Power Sources · doi:10.1016/s0378-7753(97)02498-1 · Cited by 222
Modelling Ni-mH battery using Cauer and Foster structures
Kuhn, E., Forgez, C., Lagonotte, P., & Friedrich, G. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.10.018 · Cited by 154
Cited by
Experimental Validation of a Battery Dynamic Model for EV Applications
Tremblay, O., & Dessaint, L.-A. (2009) · World Electric Vehicle Journal · doi:10.3390/wevj3020289 · Cited by 1,223
Self-citationJaguemont, J., Boulon, L., & Dubé, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.11.034 · Cited by 1,188
Control and Operation of a DC Microgrid With Variable Generation and Energy Storage
Xu, L., & Chen, D. (2011) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2011.2158456 · Cited by 567
Nejad, S., Gladwin, D. T., & Stone, D. A. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.03.042 · Cited by 565
Battery management systems in electric and hybrid vehicles
Xing, Y., Ma, E. W. M., Tsui, K. L., & Pecht, M. (2011) · Energies · doi:10.3390/en4111840 · Cited by 540
“Cheng [17] and Tremblay [18] adopted the generic battery model that was integrated in MATLAB [19].”
Method
Metadata
- Authors
- Tremblay, O., Dessaint, L.-A., & Dekkiche, A.-I.
- Venue
- 2007 IEEE Vehicle Power and Propulsion Conference
- Publisher
- IEEE
- Published
- 2007-09
- Pages
- 284-289
- OpenAlex
- W2106380910
- Cited by
- 1,244
- References
- 5
- FWCI
- 19.72
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles. https://app.cochat.ai/papers/10.1109/vppc.2007.4544139
- The paper
- Tremblay, O., Dessaint, L.-A., & Dekkiche, A.-I. (2007). A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles. 2007 IEEE Vehicle Power and Propulsion Conference. https://doi.org/10.1109/vppc.2007.4544139
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.