Abstract: The present disclosure provides system and methods for electric vehicle distributed intelligence. A system may determine scheduled charging times and scheduled charging locations to charge electric vehicles. The scheduled charging locations may correspond to charging stations geographical distributed throughout a power grid. The system may receive parameters related to power grid components configured to affect distribution of power. The system may forecast a power demand for charging the electric vehicles at the scheduled charging times and scheduled charging locations. The system may determine that a power demand to charge the electric vehicles is greater or less than power made available by the power grid components at the charging stations. The system may cause power to be reallocated among the power grid components in response to determination that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components.

Abstract: The present disclosure provides system and methods for electric vehicle distributed intelligence. A system may determine scheduled charging times and scheduled charging locations to charge electric vehicles. The scheduled charging locations may correspond to charging stations geographical distributed throughout a power grid. The system may receive parameters related to power grid components configured to affect distribution of power. The system may forecast a power demand for charging the electric vehicles at the scheduled charging times and scheduled charging locations. The system may determine that a power demand to charge the electric vehicles is greater or less than power made available by the power grid components at the charging stations. The system may cause power to be reallocated among the power grid components in response to determination that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components.

Abstract: A system and method for distributed intelligence of power tracking and power allocation may include: receiving data by at least one computer from a plurality of identified charging stations and vehicles of customers at distributed locations throughout a power grid; analyzing, with at least one processor of the at least one computer, the data with respect to available power for those locations and customer historical usage and profiles; and sending commands, with the at least one processor, to reallocate power to assets of the power grid to handle fluctuations or forecasted fluctuations in power demand based on the analysis. Customer preferences may also be considered in predicting power demand issues and need for demand response. Economic rules may be executed to incentivize the customers to comply with demand response requirements where demand is greater than power supply.

Abstract: A rail car sensor network, in accordance with an exemplary embodiment of the present invention, includes at least one rail car having a main body portion including a first and section, a second end section and an intermediate portion. The rail car network further includes a sensor assembly mounted to the rail car. The sensor assembly includes at least one sensor positioned to detect a rail car parameter, and a wireless communication device configured to transmit data corresponding to the rail car parameter. A receiver assembly, mounted remote from the at least one rail car, includes a wireless communication monitor configured to receive the data corresponding to the rail car parameter from the wireless communication device.

Abstract: A distributed processing service is configured between an Enterprise Service Bus (ESB), which supports a Service Oriented Architecture (SOA) for delivering utility services, and a Sensor Data/Event Processing Bus, which receives data communication from sensors on a utility grid. The distributed processing service provides middleware that allows the event-driven Sensor Data/Event Processing Bus to communicate with the transaction-drive ESB, thus permitting the delivery of services from the SOA to the utility grid.

Abstract: A rail car sensor network, in accordance with an exemplary embodiment of the present invention, includes at least one rail car having a main body portion including a first and section, a second end section and an intermediate portion. The rail car network further includes a sensor assembly mounted to the rail car. The sensor assembly includes at least one sensor positioned to detect a rail car parameter, and a wireless communication device configured to transmit data corresponding to the rail car parameter. A receiver assembly, mounted remote from the at least one rail car, includes a wireless communication monitor configured to receive the data corresponding to the rail car parameter from the wireless communication device.