The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A Real-Time Layer-Adaptive Wavelet Transform Energy Distribution Strategy in a Hybrid Energy Storage System of EVs
Open accessAbstract
In this paper, a real-time energy distribution strategy is designed by a layer-adaptive wavelet transform algorithm and proposed to meet the load power demand while distributing the high-frequency component to supercapacitors and the low-frequency component to batteries in a hybrid energy storage system. In the proposed method, the number of decomposition layers of wavelet transform corresponding to the load power is adaptively determined by dividing the operation zone of supercapacitors into eight cases to respectively distribute the low frequency component to batteries and the remaining high frequency component to supercapacitors. Firstly, since the state of charge of supercapacitors decreases faster as the decomposition layers increases, the state of charge of supercapacitors is divided into eight cases of operation zones. Secondly, since supercapacitors act as the peak power buffer unit, the corresponding number of decomposition layers is finally adaptively determined according to the operation zone of supercapacitors. An experiment testbed is built to verify the effectiveness of the proposed method. Extensive experiment results show that the proposed method provides a better real-time energy sharing between supercapacitors and batteries when compared with the conditional method.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Each of these driving cycles is extensively utilized in scholarly research focused on EV simulation and performance evaluations.(Chen et al., 2020;Peng et al., 2019;Karavalakis et al., 2013;Liu et al., 2016)”
From State-of-charge estimation of commercial electric vehicles by using battery-aware transformer network algorithms (2025) · cites this paper as Peng et al., 2019
Experimental — accuracy not yet measured
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
Energy storage devices for future hybrid electric vehicles
Karden, E., Ploumen, S., Fricke, B., Miller, T. J., & Snyder, K. (2006) · Journal of Power Sources · doi:10.1016/j.jpowsour.2006.10.090 · Cited by 613
Song, Z., Hofmann, H. F., Li, J., Han, X., & Ouyang, M. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.11.020 · Cited by 442
Energy Management Optimization in a Battery/Supercapacitor Hybrid Energy Storage System
Choi, M.-E., Kim, S.-W., & Seo, S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2164816 · Cited by 391
Song, Z., Li, J., Han, X., Xu, L., Lu, L., Ouyang, M., & Hofmann, H. F. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.06.087 · Cited by 384
Erdinç, O., Vural, B., & Uzunoglu, M. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.04.072 · Cited by 328
Trovão, J. P. F., Pereirinha, P. G., Jorge, H. M., & Antunes, C. H. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.12.081 · Cited by 300
Li, Q., Chen, W., Liu, Z., Li, M., & Ma, L. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.12.042 · Cited by 261
A review of power management strategies and component sizing methods for hybrid vehicles
Huang, Y., Wang, H., Khajepour, A., Li, B., Ji, J., Zhao, K., & Hu, C. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.07.020 · Cited by 249
Manandhar, U., Tummuru, N. R., Kollimalla, S. K., Ukil, A., Gooi, H. B., & Chaudhari, K. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2750622 · Cited by 229
Zhang, X., Mi, C. C., Masrur, A., & Daniszewski, D. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.08.046 · Cited by 198
Mao, P. L., & Aggarwal, R. K. (2001) · IEEE Transactions on Power Delivery · doi:10.1109/61.956753 · Cited by 181
Herrera, V. I., Gaztañaga, H., Milo, A., Saez-de-Ibarra, A., Etxeberria‐Otadui, I., & Nieva, T. (2016) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2016.2555790 · Cited by 150
Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment
Morais, H. G. V., Sousa, T. M., Vale, Z., & Faria, P. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.03.032 · Cited by 143
Energy management strategy research on a hybrid power system by hardware-in-loop experiments
He, H., Xiong, R., Zhao, K., & Liu, Z. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.12.029 · Cited by 139
Erdinç, O., Vural, B., Uzunoglu, M., & Ateş, Y. (2008) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2008.10.039 · Cited by 126
Adaptive frequency-separation-based energy management system for electric vehicles
Florescu, A., Bacha, S., Munteanu, I., Bratcu, A. I., & Rumeau, A. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.117 · Cited by 102
New Trends in Energy Production and Utilization
Caetano, N. S., Mata, T. M., Martins, A. A., & Felgueiras, C. (2017) · Energy Procedia · doi:10.1016/j.egypro.2016.12.122 · Cited by 75
Cyber-Physical Control for Energy Management of Off-Road Vehicles With Hybrid Energy Storage Systems
Wang, H., Huang, Y., & Khajepour, A. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2018.2832019 · Cited by 75
Liu, H., Wang, Z., Cheng, J., & Maly, D. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2008.929220 · Cited by 61
A Cooperative Charging Protocol for Onboard Supercapacitors of Catenary-Free Trams
Li, H., Peng, J., He, J., Zhou, R., Huang, Z., & Pan, J. (2017) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2717382 · Cited by 48
Self-citationLi, L., Huang, Z., Li, H., & Peng, J. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.09.021 · Cited by 42
Self-citationHerrera, V. I., Saez-de-Ibarra, A., Milo, A., Gaztañaga, H., & Camblong, H. (2015) · IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) · doi:10.1109/esars.2015.7101452 · Cited by 35
Zhou, Y., Huang, Z., Li, H., Peng, J., Liu, W., & Liao, H. (2018) · IEEE Access · doi:10.1109/access.2018.2837036 · Cited by 23
Self-citationIntelligent Energy Management Based on the Driving Cycle Sensitivity Identification Using SVM
Zhang, L., Zhang, X., Yi, T., & Xinn, Z. (2009) · International Symposium on Computational Intelligence and Design · doi:10.1109/iscid.2009.274 · Cited by 12
Capacitors vs. Batteries in a Serial Hybrid Electric Bus
Elbert, P., Onder, H., & Gisler, H.-J. (2010) · IFAC Proceedings Volumes · doi:10.3182/20100712-3-de-2013.00020 · Cited by 9
An Efficient Reference Modulation Based Control Strategy for Active Hybrid Energy Management of EVs
Zhou, Y., Huang, Z., Liao, H., Li, H., Jiao, Y., & Peng, J. (2018) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce.2018.8557417 · Cited by 4
Self-citationSousa, T. M., Morais, H. G. V., Pinto, T. D. O., & Vale, Z. (2015) · Clemson University Power Systems Conference · doi:10.1109/psc.2015.7101684 · Cited by 3
Cited by
Sorted by citations
Zhang, Q., Wang, L., Li, G., & Liu, Y. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101721 · Cited by 153
Fu, Z., Zhu, L., Tao, F., Si, P., & Sun, L. (2020) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.01.017 · Cited by 147
da Silva, S. F., Eckert, J. J., Corrêa, F. C., Silva, F. L., Silva, L. C. A., & Dedini, F. G. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119723 · Cited by 79
Wu, Y., Huang, Z., Liao, H., Chen, B., Zhang, X., Zhou, Y., Liu, Y., Li, H., & Peng, J. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113983 · Cited by 77
Self-citationReview of Abnormality Detection and Fault Diagnosis Methods for Lithium-Ion Batteries
Liu, X., Wang, M., Cao, R., Lyu, M., Zhang, C., Li, S., Guo, B., Zhang, L., Zhang, Z., Gao, X., et al. (2023) · Automotive Innovation · doi:10.1007/s42154-022-00215-y · Cited by 68
Metadata
- Authors
- Peng, J., Wang, R., Liao, H., Zhou, Y., Li, H., Wu, Y., & Huang, Z.
- Affiliations
- Central South University (CN)
- Corresponding author
- Liao, Hongtao
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2019-01-30
- Volume
- 12
- Issue
- 3
- Pages
- 440
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2912218270
- Cited by
- 25
- References
- 27
- Citations by year
- 2025: 2 · 2023: 9 · 2022: 5 · 2021: 2 · 2020: 4 · 2019: 3
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61772558, 61672537)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- hybrid energy storage, electric vehicles, wavelet transform, supercapacitors, batteries, energy sharing, state of charge
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
