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Charging scheduling with minimal waiting in a network of electric vehicles and charging stations
Abstract
Environment preservation has become a prominent issue around the world. As traditional internal combustion engine (ICE) vehicles have been major contributors of air pollution, electric vehicles (EVs) are gaining popularity. However, due to the limited electricity supply of battery pack, EVs need to be charged frequently and each charge takes long time. This may degrade travel efficiency and driver comfort. To address this issue, this paper aims to minimize charging waiting time through intelligently scheduling charging activities spatially and temporally. A theoretical study has been conducted to formulate the waiting time minimized charging scheduling problem and derive a performance upper bound (i.e., the theoretical lower bound of charging waiting time). Based on the insights discovered from the theoretical analysis, a practical distributed scheme has been proposed. Extensive simulation results verify that the proposed design can achieve a waiting time near the theoretical lower bound.
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Citations
Cited by
Huang, X., Xu, C., Wang, P., & Liu, H. (2018) · IEEE Access · doi:10.1109/access.2018.2812176 · Cited by 319
Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey
Rigas, E. S., Ramchurn, S. D., & Bassiliades, N. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2376873 · Cited by 280
The optimization of DC fast charging deployment in California
Zhang, L., Shaffer, B., Brown, T., & Scott Samuelsen, G. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.07.057 · Cited by 108
Smart electric vehicle charging management for smart cities
Vaidya, B., & Mouftah, H. T. (2020) · IET Smart Cities · doi:10.1049/iet-smc.2019.0076 · Cited by 65
“Offering reservation services could minimise the anxiety of waiting time [16] and alleviate congestion at the CSs (i.”
BackgroundEfficient and privacy preserving supplier matching for electric vehicle charging
Yucel, F., Akkaya, K., & Bulut, E. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2018.07.029 · Cited by 59
Metadata
- Authors
- Qin, H., & Zhang, W.
- Venue
- Proceedings of the Eighth ACM international workshop on Vehicular inter-networking
- Publisher
- ACM
- Published
- 2011-09-23
- Pages
- 51-60
- OpenAlex
- W2002048403
- Cited by
- 228
- References
- 0
- FWCI
- 16.09
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Charging scheduling with minimal waiting in a network of electric vehicles and charging stations. https://app.cochat.ai/papers/10.1145/2030698.2030706
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- Qin, H., & Zhang, W. (2011). Charging scheduling with minimal waiting in a network of electric vehicles and charging stations. Proceedings of the Eighth ACM international workshop on Vehicular inter-networking. https://doi.org/10.1145/2030698.2030706
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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.
