Yi et al., 2018 - Google Patents
Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenarioYi et al., 2018
View PDF- Document ID
- 8934572875385136393
- Author
- Yi Z
- Shirk M
- Publication year
- Publication venue
- Transportation Research Part C: Emerging Technologies
External Links
Snippet
This study introduces an optimal charging decision making framework for connected and automated electric vehicles under a personal usage scenario. This framework aims to provide charging strategies, ie the choice of charging station and the amount of charged …
- 238000005265 energy consumption 0 abstract description 39
Classifications
-
- 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
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- 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
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- 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
-
- 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
- Y02T10/80—Technologies aiming to reduce green house gasses emissions common to all road transportation technologies
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yi et al. | Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario | |
Yi et al. | Energy impact evaluation for eco-routing and charging of autonomous electric vehicle fleet: Ambient temperature consideration | |
Xiang et al. | Electric vehicle charging in smart grid: A spatial-temporal simulation method | |
Hwang et al. | System optimization for dynamic wireless charging electric vehicles operating in a multiple-route environment | |
Zhang et al. | Models, algorithms, and evaluation for autonomous mobility-on-demand systems | |
Brandstätter et al. | Overview of optimization problems in electric car-sharing system design and management | |
Anand et al. | Probabilistic reliability evaluation of distribution systems considering the spatial and temporal distribution of electric vehicles | |
Sheppard et al. | Cost-effective siting of electric vehicle charging infrastructure with agent-based modeling | |
Chow et al. | Activity-based market equilibrium for capacitated multimodal transport systems | |
Tran et al. | Dynamic wireless charging lanes location model in urban networks considering route choices | |
Kim et al. | Idle vehicle relocation strategy through deep learning for shared autonomous electric vehicle system optimization | |
Mahmoudi et al. | Accessibility with time and resource constraints: Computing hyper-prisms for sustainable transportation planning | |
Kumar et al. | S2RC: A multi-objective route planning and charging slot reservation approach for electric vehicles considering state of traffic and charging station | |
Majhi et al. | Assessment of dynamic wireless charging based electric road system: A case study of Auckland motorway | |
Davidov et al. | Stochastic expansion planning of the electric-drive vehicle charging infrastructure | |
CN114840984A (en) | Electric vehicle charging load space-time prediction method considering travel path decision | |
Zhai et al. | Agent–cellular automata model for the dynamic fluctuation of EV traffic and charging demands based on machine learning algorithm | |
Uribe et al. | Discrete event simulation for battery-swapping station sizing for hybrid and electric motorcycles | |
Su et al. | Spatial-temporal distribution model of electric vehicle charging demand based on a dynamic evolution process | |
Miao et al. | Highly Automated Electric Vehicle (HAEV)-based mobility-on-demand system modeling and optimization framework in restricted geographical areas | |
Jelen et al. | A multi-agent system for context-aware electric vehicle fleet routing: A step towards more sustainable urban operations | |
Shen et al. | Integrated optimization of electric vehicles charging location and allocation for valet charging service | |
Tran et al. | Towards clean transportation systems: Infrastructure planning for EVs charging while driving | |
CN109583708B (en) | Method for establishing multi-agent microscopic traffic distribution model | |
Hasnine et al. | Mode shift impacts of optimal time-dependent congestion pricing in large networks: A simulation-based case study in the greater toronto area |