The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation
Open accessAbstract
The aim of this paper is to present an on-line adaptive equivalent consumption minimum strategy (AECMS) for fuel cell hybrid electric vehicle powered by fuel cell, battery and supercapacitor. In order to design the AECMS, an equivalent consumption minimum strategy (ECMS) without considering power sources degradation is firstly designed to decrease hydrogen consumption and degradation of power sources, which chooses fuel cell as the main power source to supply steady power, battery as the main energy storage source to buffer energy demand by vehicle and supercapacitor as the peak power supplier. A testbench is built to validate the developed ECMS. By contrastive experimental tests on ECMS, Rule Based Control Strategy (RBCS) and a Hybrid ECMS Operating mode control Strategy (HEOS) through the built test bench, hydrogen consumption of ECMS decreases 2.16% and 1.47% respectively and it also has the smoothest fuel cell current. Along with the degradation of fuel cell and battery, the charge sustenance objective of battery cannot be reached. Therefore, AECMS is finally designed to adjust equivalent factors and fuel cell dynamic current change rate along with the state of health (SOH) of fuel cell and battery, to make sure the charge sustenance of battery and prolong the lifetime of fuel cell. The method that on-line estimates their SOHs and the effects of their degradation on ECMS are also analyzed.
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
Dicks, A. L., & Rand, D. A. J. (2018) · Wiley eBooks · doi:10.1002/9781118706992 · Cited by 4,224
The unscented Kalman filter for nonlinear estimation
Wan, E. A., & Van Der Merwe, R. (2002) · Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373) · doi:10.1109/asspcc.2000.882463 · Cited by 4,001
Larminie, J., & Dicks, A. (2003) · Wiley eBooks · doi:10.1002/9781118878330 · Cited by 3,935
A review of energy sources and energy management system in electric vehicles
Tie, S. F., & Tan, C. W. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.11.077 · Cited by 1,463
A review of supercapacitor modeling, estimation, and applications: A control/management perspective
Zhang, L., Hu, X., Wang, Z., Sun, F., & Dorrell, D. G. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.283 · Cited by 950
(2008) · doi:10.1007/978-3-540-74692-8 · Cited by 887
Gaussian process regression for forecasting battery state of health
Richardson, R. R., Osborne, M. A., & Howey, D. A. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.05.004 · Cited by 732
Pelletier, S., Jabali, O., Laporte, G., & Veneroni, M. (2017) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2017.01.020 · Cited by 515
Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies
Das, H. S., Tan, C. W., & Yatim, A. H. M. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.03.056 · Cited by 463
A review on energy management system for fuel cell hybrid electric vehicle: Issues and challenges
Sulaiman, N., Hannan, M. A., Mohamed, A., Majlan, E. H., & Wan Daud, W. R. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.132 · Cited by 459
Cited by
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
Lu, D., Yi, F., Hu, D., Li, J., Yang, Q., & Wang, J. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121516 · Cited by 150
Zeng, M., Zhang, P., Yang, Y., Xie, C., & Shi, Y. (2019) · Energies · doi:10.3390/en12163122 · Cited by 85
Metadata
- Authors
- Li, H., Ravey, A., N’Diaye, A., & Djerdir, A.
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 192
- Pages
- 133-149
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W2937557832
- Cited by
- 264
- References
- 46
- FWCI
- 14.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation. https://app.cochat.ai/papers/10.1016/j.enconman.2019.03.090
- The paper
- Li, H., Ravey, A., N’Diaye, A., & Djerdir, A. (2019). Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation. Energy Conversion and Management. https://doi.org/10.1016/j.enconman.2019.03.090
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.