The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Energy Management Strategies for Vehicular Electric Power Systems
Abstract
In the near future, a significant increase in electric power consumption in vehicles is expected. To limit the associated increase in fuel consumption and exhaust emissions, smart strategies for the generation, storage/retrieval, distribution, and consumption of electric power will be used. Inspired by the research on energy management for hybrid electric vehicles (HEVs), this paper presents an extensive study on controlling the vehicular electric power system to reduce the fuel use and emissions, by generating and storing electrical energy only at the most suitable moments. For this purpose, both off-line optimization methods using knowledge of the driving pattern and on-line implementable ones are developed and tested in a simulation environment. Results show a reduction in fuel use of 2%, even without a prediction of the driving cycle being used. Simultaneously, even larger reductions of the emissions are obtained. The strategies can also be applied to a mild HEV with an integrated starter alternator (ISA), without modifications, or to other types of HEVs with slight changes in the formulation.
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
(1995) · Cited by 10,558
Practical Methods of Optimization
Fletcher, R. (2000) · Wiley eBooks · doi:10.1002/9781118723203 · Cited by 7,605
Predictive Control With Constraints
Maciejowski, J. M. (2001) · Cambridge University Engineering Department Publications Database · Cited by 4,368
Power management strategy for a parallel hybrid electric truck
Lin, C.-C., Peng, H., Grizzle, J. W., & Kang, J.-M. (2003) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2003.815606 · Cited by 1,277
Practical methods of optimization; (2nd ed.)
Fletcher, R. (1987) · Wiley-Interscience eBooks · Cited by 964
Control of a Parallel Hybrid Powertrain: Optimal Control
Delprat, S., Lauber, J., Guerra, T. M., & Rimaux, J. (2004) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2004.827161 · Cited by 450
A stochastic control strategy for hybrid electric vehicles
Lin, C.-C., Peng, H., & Grizzle, J. W. (2004) · Proceedings of the 2004 American Control Conference · doi:10.23919/acc.2004.1384056 · Cited by 446
HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions
Johnson, V. H., Wipke, K. B., & Rausen, D. J. (2000) · SAE Technical Paper Series · doi:10.4271/2000-01-1543 · Cited by 376
Vehicular Electric Power Systems
(2003) · CRC Press eBooks · doi:10.1201/9780203913468 · Cited by 296
Finding Ultimate Limits of Performance for Hybrid Electric Vehicles
Tate, E. D., & Boyd, S. P. (2000) · SAE Technical Paper Series · doi:10.4271/2000-01-3099 · Cited by 193
Cited by
Progress in electrical energy storage system: a critical review
Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009) · Progress in Natural Science · doi:10.1016/j.pnsc.2008.07.014 · Cited by 3,746
Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles
Silvas, E., Hofman, T., Murgovski, N., Etman, P., & Steinbuch, M. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2547897 · Cited by 323
Self-citationVan Mierlo, J., Berecibar, M., El Baghdadi, M., De Cauwer, C., Messagie, M., Coosemans, T., Jacobs, V., & Hegazy, O. (2021) · World Electric Vehicle Journal · doi:10.3390/wevj12010020 · Cited by 149
Zhang, X., Wang, Y., Liu, C., & Chen, Z. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.11.068 · Cited by 135
Influence of the heating system on the fuel consumption of a hybrid electric vehicle
Horrein, L., Bouscayrol, A., Cheng, Y., Dumand, C., Colin, G., & Chamaillard, Y. (2016) · Energy Conversion and Management · doi:10.1016/j.enconman.2016.10.030 · Cited by 29
Metadata
- Authors
- Koot, M., Kessels, J. T. B. A., deJager, B., Heemels, W. P. M. H., vandenBosch, P. P. J., & Steinbuch, M.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2005-05
- Volume
- 54
- Issue
- 3
- Pages
- 771-782
- ISSN
- 0018-9545 (ISSN-L)
- OpenAlex
- W2167300323
- Cited by
- 451
- References
- 13
- FWCI
- 58.87
- Type
- journal article
- 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: Energy Management Strategies for Vehicular Electric Power Systems. https://app.cochat.ai/papers/10.1109/tvt.2005.847211
- The paper
- Koot, M., Kessels, J. T. B. A., deJager, B., Heemels, W. P. M. H., vandenBosch, P. P. J., & Steinbuch, M. (2005). Energy Management Strategies for Vehicular Electric Power Systems. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2005.847211
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.