International Business Machines Corporation

Nicholas J Ruegger

Howard Neil Anglin

Irgelkha Mejia

Yvonne M Young

Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electric vehicles.

Recharging of battery electric vehicles on a smart electrical grid system

A method for recharging an electric vehicle includes receiving, by a control module and from the vehicle in transit along a route having a number of stops for passenger pickup, a current charge level and a current location. The stops include recharging stations for recharging the vehicle. The method includes receiving from a next stop, an anticipated stop time at the next stop for the vehicle. The method includes determining a power output to be supplied to the vehicle by a recharging station at the next stop based on the current charge level. The power output comprises an amount of power to be supplied at the next stop, the amount of power for satisfying a minimum amount of charge to enable the vehicle to arrive at a subsequent stop after the next stop. The method includes transmitting, to the recharging station at the next stop, the power output.

A computer program product for recharging a number of battery electric vehicles includes computer usable program code. The computer usable program code is configured to receive, from the number of battery electric vehicles that are to recharge at a number of recharging stations, usage data. The usage data includes a current charge level, a current location, and a planned itinerary that includes a destination. The computer usable program code is configured to determine anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The computer usable program code is configured to redistribute the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

Smart posting with data analytics and semantic analysis to improve a message posted to a social media service

Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

Growing community of inventors

Austin, TX, United States of America

Nicholas J Ruegger