Integrated charging infrastructure planning and charging scheduling for battery electric bus systems
Journal Article
·
· Transportation Research. Part D, Transport and Environment
- Beijing University of Technology (China); Utah State University, Logan, UT (United States)
- Utah State University, Logan, UT (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Utah State University, Logan, UT (United States)
We report studies on the electric bus system planning problem have typically focused exclusively on either the deployment of charging infrastructure or the scheduling of charging events; few have examined the impact of charging facility deployment on charging activities. Considering the interdependence of system design and operational strategies, this study proposes a two-phase optimization framework for charging infrastructure planning and charging scheduling for battery electric bus systems. An integrated optimization model is first developed to simultaneously optimize charger deployment, on-board battery capacity, and charging schedules. A charging scheduling model is further proposed and a rolling horizon approach is utilized in the second phase to optimize the real-time charging scheduling of electric buses. Compared to existing electric bus system planning methods, the proposed integrated model can reduce the total system cost by 19.5%. In addition, compared to uncontrolled charging, the proposed rolling horizon-based charging strategy can reduce the total charging cost by 68.3%.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
- Grant/Contract Number:
- AC36-08GO28308; EE0009213
- OSTI ID:
- 1887284
- Report Number(s):
- NREL/JA-2C00-83195; MainId:83968; UUID:d8751eea-50ec-4d4b-8824-fefe36cb6954; MainAdminID:65384
- Journal Information:
- Transportation Research. Part D, Transport and Environment, Journal Name: Transportation Research. Part D, Transport and Environment Vol. 111; ISSN 1361-9209
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Joint optimization of electric bus charging infrastructure, vehicle scheduling, and charging management
A novel method for co-optimizing battery sizing and charging strategy of battery electric bus fleets: An application to the city of Paris
Optimization of Electric Bus Scheduling and Charger Location
Journal Article
·
Wed Mar 01 19:00:00 EST 2023
· Transportation Research. Part D, Transport and Environment
·
OSTI ID:1974034
A novel method for co-optimizing battery sizing and charging strategy of battery electric bus fleets: An application to the city of Paris
Journal Article
·
Wed Oct 25 20:00:00 EDT 2023
· Energy
·
OSTI ID:2536680
Optimization of Electric Bus Scheduling and Charger Location
Conference
·
Sun Dec 31 23:00:00 EST 2023
·
OSTI ID:2448475