The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modelling and control of hybrid electric vehicles (A comprehensive review)
Open accessAbstract
The gradual decline in global oil reserves and presence of ever so stringent emissions rules around the world, have created an urgent need for the production of automobiles with improved fuel economy. HEVs (hybrid electric vehicles) have proved a viable option to guaranteeing improved fuel economy and reduced emissions. The fuel consumption benefits which can be realised when utilising HEV architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilised. The challenge in developing an HEV control strategy lies in the satisfaction of often conflicting control constraints involving fuel consumption, emissions and driveability, without over-depleting the battery state of charge at the end of the defined driving cycle.
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
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Cited by
Elalfy, D. A., Gouda, E., Kotb, M. F., Bureš, V., & Sedhom, B. E. (2024) · Energy Strategy Reviews · doi:10.1016/j.esr.2024.101482 · Cited by 587
Review of energy storage systems for vehicles based on technology, environmental impacts, and costs
Balali, Y., & Stegen, S. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110185 · Cited by 260
Sizing of a solar-wind hybrid electric vehicle charging station by using HOMER software
Ekren, O., Hakan Canbaz, C., & Güvel, Ç. B. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123615 · Cited by 259
Metadata
- Authors
- Enang, W., & Bannister, C.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 74
- Pages
- 1210-1239
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2591714971
- Cited by
- 350
- References
- 1
- FWCI
- 20.70
- Type
- journal article
- Language
- en
- Open access
- green
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: Modelling and control of hybrid electric vehicles (A comprehensive review). https://app.cochat.ai/papers/10.1016/j.rser.2017.01.075
- The paper
- Enang, W., & Bannister, C. (2017). Modelling and control of hybrid electric vehicles (A comprehensive review). Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.01.075
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.
