The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control
Open accessAbstract
Energy management is an enabling technology for increasing the economy of fuel cell/battery hybrid electric vehicles. Existing efforts mostly focus on optimization of a certain control objective (e.g., hydrogen consumption), without sufficiently considering the implications for on-board power sources degradation. To address this deficiency, this article proposes a cost-optimal, predictive energy management strategy, with an explicit consciousness of degradation of both fuel cell and battery systems. Specifically, we contribute two main points to the relevant literature, with the purpose of distinguishing our study from existing ones. First, a model predictive control framework, for the first time, is established to minimize the total running cost of a fuel cell/battery hybrid electric bus, inclusive of hydrogen cost and costs caused by fuel cell and battery degradation. The efficacy of this framework is evaluated, accounting for various sizes of prediction horizon and prediction uncertainties. Second, the effects of driving and pricing scenarios on the optimized vehicular economy are explored.
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Cites
Cycle-life model for graphite-LiFePO4 cells
Wang, J., Liu, P., Hicks-Garner, J., Sherman, E., Soukiazian, S., Verbrugge, M., Tataria, H., Musser, J., & Finamore, P. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.134 · Cited by 1,760
Power management strategy for a parallel hybrid electric truck
Lin, C.-C., Peng, H., Grizzle, J. W., & Kang, J.-M. (2003) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2003.815606 · Cited by 1,277
Energy storage deployment and innovation for the clean energy transition
Kittner, N., Lill, F., & Kammen, D. M. (2017) · Nature Energy · doi:10.1038/nenergy.2017.125 · Cited by 1,246
(2008) · doi:10.1007/978-3-540-74692-8 · Cited by 887
A review of the main parameters influencing long-term performance and durability of PEM fuel cells
Schmittinger, W., & Vahidi, A. (2008) · Journal of Power Sources · doi:10.1016/j.jpowsour.2008.01.070 · Cited by 819
A Survey on the Electrification of Transportation in a Smart Grid Environment
Su, W., Eichi, H., Zeng, W., & Chow, M.-Y. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2172454 · Cited by 811
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
Musardo, C., Rizzoni, G., & Staccia, B. (2006) · Proceedings of the 44th IEEE Conference on Decision and Control · doi:10.1109/cdc.2005.1582424 · Cited by 726
Martinez, C. M., Hu, X., Cao, D., Velenis, E., Gao, B., & Wellers, M. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2582721 · Cited by 717
Self-citationWipke, K. B., Cuddy, M. R., & Burch, S. D. (1999) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.806767 · Cited by 711
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
Musardo, C., Rizzoni, G., Guezennec, Y., & Staccia, B. (2005) · European Journal of Control · doi:10.3166/ejc.11.509-524 · Cited by 676
Cited by
Shu, X., Shen, J., Li, G., Zhang, Y., Chen, Z., & Liu, Y. (2021) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2021.3074638 · Cited by 230
Li, K., Zhou, J., Jia, C., Yi, F., & Zhang, C. (2024) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2023.05.311 · Cited by 180
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
Metadata
- Authors
- Hu, X., Zou, C., Tang, X., Liu, T., & Hu, L.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2020-01
- Volume
- 35
- Issue
- 1
- Pages
- 382-392
- ISSN
- 0885-8993 (ISSN-L)
- 1941-0107
- OpenAlex
- W2944471439
- Cited by
- 423
- References
- 51
- FWCI
- 22.09
- Type
- journal article
- Language
- en
- Open access
- green
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- Hu, X., Zou, C., Tang, X., Liu, T., & Hu, L. (2020). Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2019.2915675
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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.
