Abstract
CMIP model explores various charging infrastructure network designs to serve a free-floating car-sharing fleet and determine the charging downtime experienced by the fleet for each design. Development of the CMIP model had two major steps: (1) describing modeling assumptions and (2) developing an integer program (IP) that jointly optimizes decisions about locations to install DC fast chargers and EV-to-charger assignments. The CMIP model integrates an EV charging model, EV energy consumption model, and heterogeneous, real-world vehicle use data with an integer programming optimization model to identify optimal location of new charging stations and calculate vehicle downtime for charging. The CMIP model can be applied to understand: (a) the reduction of EV fleet downtime if an additional fast-charging station is added to the current infrastructure and (b) to what extent total vehicle downtime would be sensitive to additional charging infrastructure.
- Developers:
-
Roni, Mohammad [1]
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Release Date:
- 2021-01-04
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
C++
- Licenses:
-
GNU General Public License v2.0
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 50088
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
- Keywords:
- Integer programming; CPLEX; smart mobility; charging infrastructure; electric vehicle
Citation Formats
Roni, Mohammad S.
Charging-management And Infrastructure-planning (cmip) Model.
Computer Software.
https://github.com/idaholab/CMIP.
USDOE Office of Energy Efficiency and Renewable Energy (EERE).
04 Jan. 2021.
Web.
doi:10.11578/dc.20210119.3.
Roni, Mohammad S.
(2021, January 04).
Charging-management And Infrastructure-planning (cmip) Model.
[Computer software].
https://github.com/idaholab/CMIP.
https://doi.org/10.11578/dc.20210119.3.
Roni, Mohammad S.
"Charging-management And Infrastructure-planning (cmip) Model." Computer software.
January 04, 2021.
https://github.com/idaholab/CMIP.
https://doi.org/10.11578/dc.20210119.3.
@misc{
doecode_50088,
title = {Charging-management And Infrastructure-planning (cmip) Model},
author = {Roni, Mohammad S.},
abstractNote = {CMIP model explores various charging infrastructure network designs to serve a free-floating car-sharing fleet and determine the charging downtime experienced by the fleet for each design. Development of the CMIP model had two major steps: (1) describing modeling assumptions and (2) developing an integer program (IP) that jointly optimizes decisions about locations to install DC fast chargers and EV-to-charger assignments. The CMIP model integrates an EV charging model, EV energy consumption model, and heterogeneous, real-world vehicle use data with an integer programming optimization model to identify optimal location of new charging stations and calculate vehicle downtime for charging. The CMIP model can be applied to understand: (a) the reduction of EV fleet downtime if an additional fast-charging station is added to the current infrastructure and (b) to what extent total vehicle downtime would be sensitive to additional charging infrastructure.},
doi = {10.11578/dc.20210119.3},
url = {https://doi.org/10.11578/dc.20210119.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210119.3}},
year = {2021},
month = {jan}
}