V2G-Sim is a simulation platform incorporating and aggregating individual vehicle powertrain and charging dynamics plus driver usage patterns to systematically address the real-world effects of any number of plug-in electric vehicles (PEVs) on the electricity grid. V2G-Sim can also be used to quantify battery degradation in PEVs from driving or from vehicles delivering grid services.
2015 R&D 100 Award Winner
APPLICATIONS OF TECHNOLOGY:
- Power distribution grid planning
- Power pricing analysis
- PEV and battery design
- PEV range and cost savings demonstrations
For specific applications for all stakeholder groups (automotive, electricity grid, policy, business, end users) see: http://v2gsim.lbl.gov/applications
- Modeling based on real-world driving behaviors over a range of distances and times
- Scalable for any number of PEVs
- Customizable to enable users to examine any vehicle charging or discharging control strategy
- Predictions of both aggregate grid impacts, and individual vehicle impacts
- Computationally efficient, enabling simulations of large numbers of vehicles on standard computer workstations
For further details on advantages, see: http://v2gsim.lbl.gov/overview/key-features
The Vehicle-to-Grid Simulator (V2G-Sim) invented at Berkeley Lab provides systematic quantitative methods to address the uncertainties and barriers facing vehicle-grid integration (VGI). The model is scalable to simulate impacts and opportunities for any number of vehicles (from one to one million or more PEVs).
In the real world, each person drives a different vehicle, in different ways, with different trip distances, at different times. Predicting the adequacy of plug-in electric vehicles (PEVs) for the needs of drivers, and accurately predicting the impacts and opportunities to the electricity grid from increased PEV deployment require models that can consider these differences at the individual vehicle level.
V2G-Sim models the driving and charging behavior of individual PEVs to generate temporally- and spatially-resolved predictions of grid impacts and opportunities from increased plug-in electric vehicle (PEV) deployment. V2G-Sim provides bottom up modeling from individual vehicle dynamics all the way up to aggregate grid impacts and opportunities. Any managed charging or discharging control approach can be modeled to predict the impacts on individual vehicles, or at any grid scale. Battery degradation from driving or vehicle-grid services can be modeled with battery degradation models integrated into V2G-Sim.
STATUS: Copyright permission granted. Available for license.
FOR MORE INFORMATION:
Chao, J. “Goodbye, Range Anxiety? Electric Vehicles May Be More Useful Than Previously Thought,” Berkeley Lab News Center, March 30, 2015.
For more information, including case studies, go to the V2G-Sim website.
REFERENCE NUMBER: 2014-021