Pilot project to focus on bi-directional data link between electric vehicles and the power grid
This project is aimed at demonstrating and testing an electric vehicle's ability to receive and respond to charge instructions based on the grid condition and the vehicle's battery state. With visibility into charging patterns, energy providers will have the ability to more effectively manage charging during peak hours and create consumer-friendly programs to encourage electric vehicle adoption.
The energy requirements for electric vehicles will challenge the current power grid as plug-in vehicle counts continue to grow to an expected 2.9 million worldwide by 2017. This project has the potential to ease the infrastructure and consumer concerns associated with the mass adoption of EVs, by adding another layer of agility to the EV charging process. This level of intelligence will help make charging seamless for consumers, while ensuring the electricity source is reliable and the infrastructure is stable.
This demonstration combines grid and vehicle data to create an individualized charging plan for Honda's Fit EV battery electric vehicles (BEV), using IBM's cloud based software platform. By using the existing in-vehicle communications system in the Honda Fit EV, the electric vehicle can interact with utilities and the grid, creating a direct channel for sending and receiving usage information that could improve local grid management.
"This pilot project with IBM and Honda will help us demonstrate that third-party providers have the systems and capabilities to help meet some of the challenges that electric vehicles could place on the power grid as their adoption increases in the coming years," said Saul Zambrano, senior director for consumer products for PG&E. "With updated charging patterns for EVs, we have the ability if needed, to shift demand to non-peak times to ensure the reliability of the grid so that we can continue to deliver safe, reliable and affordable energy to our customers."
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