The DOI matches its Crossref record.
Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends
Abstract
As hybrid electric vehicles (HEVs) are gaining more popularity in the market, the rule of the energy management system in the hybrid drivetrain is escalating. This paper classifies and extensively overviews the state-of-the-art control strategies for HEVs. The pros and cons of each approach are discussed. From different perspectives, real-time solutions are qualitatively compared. Finally, a couple of important issues that should be addressed in future development of control strategies are suggested. The benefits of this paper are the following: (1) laying down a foundation for future improvements, (2) establishing a basis for comparing available methods, and (3) helping devoted researchers choose the right track, while avoiding doing that which has already been done.
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
Cited by
Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling
Chan, C. C., Bouscayrol, A., & Chen, K. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2033605 · Cited by 792
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles
Wirasingha, S. G., & Emadi, A. (2011) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2010.2090178 · Cited by 696
A comprehensive review of the key technologies for pure electric vehicles
Li, Z., Khajepour, A., & Song, J. (2019) · Energy · doi:10.1016/j.energy.2019.06.077 · Cited by 615
Çağatay Bayindir, K., Gözüküçük, M. A., & Teke, A. (2011) · Energy Conversion and Management · doi:10.1016/j.enconman.2010.09.028 · Cited by 572
A survey on industrial applications of fuzzy control
Precup, R.-E., & Hellendoorn, H. (2011) · Computers in Industry · doi:10.1016/j.compind.2010.10.001 · Cited by 532
Metadata
- Authors
- Salmasi, F. R.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2007-09
- Volume
- 56
- Issue
- 5
- Pages
- 2393-2404
- ISSN
- 0018-9545 (ISSN-L)
- OpenAlex
- W2119208341
- Cited by
- 863
- References
- 0
- FWCI
- 42.69
- 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: Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends. https://app.cochat.ai/papers/10.1109/tvt.2007.899933
- The paper
- Salmasi, F. R. (2007). Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2007.899933
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.
