V2G-Sim is a simulation platform that couples vehicle powertrain, charging, and driver usage pattern sub-modules to address vehicle-grid integration concerns in a systematic way.  The Vehicle-to-Grid Simulator (V2G-Sim) provides systematic quantitative methods to address the uncertainties and barriers facing vehicle-grid integration (VGI). 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 requires 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, as shown in Figure 1. 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. The model is scalable to simulate impacts and opportunities for any number of vehicles (from 1 to 1 million or more PEVs). V2G-Sim is being developed using Laboratory Directed Research and Development (LDRD) funding at Lawrence Berkeley National Laboratory. |
|
|
Your use of this site is subject to our security and privacy policies.
A U.S. Department of Energy National Laboratory Operated by the University of California
