Huang et al., 2019 - Google Patents
An optimal scheduling algorithm for hybrid EV charging scenario using consortium blockchainsHuang et al., 2019
- Document ID
- 5698798011930457428
- Author
- Huang X
- Zhang Y
- Li D
- Han L
- Publication year
- Publication venue
- Future Generation Computer Systems
External Links
Snippet
In this paper, we propose an optimal charging scheduling algorithm for hybrid vehicle charging scenarios. Unlike traditional charging scheduling algorithms, which only consider the vehicle-to-vehicle (V2V) and grid-to-vehicle (G2V) scenarios, the new and hybrid …
- 238000004422 calculation algorithm 0 title abstract description 58
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies related to electric vehicle charging
- Y02T90/12—Electric charging stations
- Y02T90/128—Energy exchange control or determination
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies related to electric vehicle charging
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies related to electric vehicle charging
- Y02T90/14—Plug-in electric vehicles
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage for electromobility
- Y02T10/7005—Batteries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Huang et al. | An optimal scheduling algorithm for hybrid EV charging scenario using consortium blockchains | |
Ding et al. | Technical review on advanced approaches for electric vehicle charging demand management, part ii: Applications in transportation system coordination and infrastructure planning | |
Yang et al. | Optimal sizing of PEV fast charging stations with Markovian demand characterization | |
Tang et al. | Distributed routing and charging scheduling optimization for internet of electric vehicles | |
Luo et al. | Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems | |
Wang et al. | Smart charging for electric vehicles: A survey from the algorithmic perspective | |
Tang et al. | Waiting time minimized charging and discharging strategy based on mobile edge computing supported by software-defined network | |
Zhou et al. | Power-traffic network equilibrium incorporating behavioral theory: A potential game perspective | |
Shahkamrani et al. | A framework for day-ahead optimal charging scheduling of electric vehicles providing route mapping: Kowloon case study | |
Panwar et al. | Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources | |
Shao et al. | Generalized user equilibrium for coordination of coupled power-transportation network | |
Chekired et al. | Fog-computing-based energy storage in smart grid: A cut-off priority queuing model for plug-in electrified vehicle charging | |
Cao et al. | Joint optimization of delay-tolerant autonomous electric vehicles charge scheduling and station battery degradation | |
James et al. | Maximizing aggregator profit through energy trading by coordinated electric vehicle charging | |
Tookanlou et al. | An optimal day-ahead scheduling framework for E-mobility ecosystem operation with drivers’ preferences | |
Zhang et al. | Electricity trade strategy of regional electric vehicle coalitions based on blockchain | |
Qiao et al. | A distributed coordination method for coupled traffic-power network equilibrium incorporating behavioral theory | |
Jin et al. | Charging guiding strategy for electric taxis based on consortium blockchain | |
Tao et al. | Data-driven matching protocol for vehicle-to-vehicle energy management considering privacy preservation | |
Shi et al. | An economic evaluation of electric vehicles balancing grid load fluctuation, new perspective on electrochemical energy storage alternative | |
Shao et al. | A decentralized bi-level decomposition method for optimal operation of electric vehicles in coupled urban transportation and power distribution systems | |
Jia et al. | Review on optimization of forecasting and coordination strategies for electric vehicle charging | |
Wu et al. | On optimal charging scheduling for electric vehicles with wind power generation | |
Cao et al. | A holistic review on E-mobility service optimization: Challenges, recent progress and future directions | |
Li et al. | A temporal–spatial charging coordination scheme incorporating probability of EV charging availability |