The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic
Abstract
Fuzzy logic is used to define a new quantity called the battery working state (BWS), which is based on both battery terminal voltage and state of charge (SOC), to overcome the problem of battery over-discharge and associated damage resulting from inaccurate estimates of the SOC. The BWS is used by a fuzzy logic energy-management system of a plug-in series hybrid electric vehicle (HEV) to make a decision on the power split between the battery and the engine, based on the BWS and vehicle power demand, while controlling the engine to work in its fuel economic region. The fuzzy logic management system was tested in real time using an HEV simulation test bench with a real battery in the loop. Simulation results are presented to demonstrate the performance of the proposed fuzzy logic energy-management system under different driving conditions and battery SOCs. The results indicate that the fuzzy logic energy-management system using the BWS was effective in ensuring that the engine operates in the vicinity of its maximum fuel efficiency region while preventing the battery from over-discharging.
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
The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
Clement-Nyns, K., Haesen, E., & Driesen, J. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036481 · Cited by 2,847
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
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
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.2004.02.031 · Cited by 1,385
Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses
Sortomme, E., Hindi, M. M., MacPherson, S. D. J., & Venkata, S. S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2090913 · Cited by 1,155
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
Energy management strategy based on fuzzy logic for a fuel cell hybrid bus
Gao, D., Jin, Z., & Lu, Q. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.06.083 · Cited by 270
A rule-based energy management strategy for Plug-in Hybrid Electric Vehicle (PHEV)
Banvait, H., Anwar, S., & Chen, Y. (2009) · 2009 American Control Conference · doi:10.1109/acc.2009.5160242 · Cited by 268
Design of genetic-fuzzy control strategy for parallel hybrid electric vehicles
Poursamad, A., & Montazeri‐Gh, M. (2007) · Control Engineering Practice · doi:10.1016/j.conengprac.2007.10.003 · Cited by 217
Williamson, S., Lukic, M., & Emadi, A. (2006) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2006.872388 · Cited by 199
Cited by
Xiong, R., He, H., Sun, F., & Zhao, K. (2013) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2012.2222684 · Cited by 447
Zhang, S., & Xiong, R. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.06.003 · Cited by 403
Lian, R., Peng, J., Wu, Y., Tan, H., & Zhang, H. (2020) · Energy · doi:10.1016/j.energy.2020.117297 · Cited by 357
Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery
Mojumder, M. R. H., Ahmed Antara, F., Hasanuzzaman, M., Alamri, B., & Alsharef, M. (2022) · Sustainability · doi:10.3390/su142113856 · Cited by 306
He, L., & Guo, D. (2019) · IEEE Access · doi:10.1109/access.2019.2921105 · Cited by 65
Metadata
- Authors
- Li, S. G., Sharkh, S. M., Walsh, F. C., & Zhang, C. N.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2011-10
- Volume
- 60
- Issue
- 8
- Pages
- 3571-3585
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2098096678
- Cited by
- 353
- References
- 19
- FWCI
- 41.98
- 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 and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic. https://app.cochat.ai/papers/10.1109/tvt.2011.2165571
- The paper
- Li, S. G., Sharkh, S. M., Walsh, F. C., & Zhang, C. N. (2011). Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2011.2165571
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.
