Gm Global Technolgoy Operations, Inc.

Kunaal Verma

Allan K Lewis

Apral S Hara

Freddy V Rayes

Goro Tamai

Anthony James Corsetti

William Charles Marsh

Todd P Lindemann

Steven A Tarnowsky

Donald Raymond Gignac

Robert Stacey

Bryce J Benfield

John M Clarahan

Embodiments include methods, systems and computer readable storage medium for demand prediction and energy resource pre-allocation and/or relocation. The method includes monitoring, by a processor, venue event information for one or more locations. The method further includes calculating, by the processor, an energy resource demand based on a charge demand model. The method further includes determining, by the processor, whether the energy resource demand exceeds available energy resource stations provided at the location. The method further includes instructing, by the processor, one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations.

Energy resource pre-allocation and delivery based on demand

Presented are intelligent vehicle systems and control logic for driver coaching and on-demand vehicle charging, methods for making/using such systems, and motor vehicles with real-time eco-routing and automated driving capabilities. A method for controlling operation of a vehicle includes: determining an origin and destination for the vehicle; conducting a geospatial query to identify a candidate route for traversing from the origin to the destination; determining, based on current electrical characteristics of the vehicle's battery pack, an estimated driving range for the vehicle; responsive to the estimated driving range being less than the candidate route's distance, evaluating energy characteristics of the candidate route to derive an estimated energy expenditure to reach the destination; using the estimated energy expenditure, generating an action plan with vehicle maneuvering and/or accessory usage actions that extend the estimated driving range; and commanding a resident vehicle subsystem to execute a control operation based on the action plan.

Intelligent motor vehicles, systems, and control logic for driver behavior coaching and on-demand mobile charging

A communication module is configured to obtain, from a first computing device associated with an energy receiver, an energy request. The energy request includes a location of the energy receiver and an amount of energy requested. A selection module is configured to generate a list of energy sources available to satisfy the energy request. The communication module is further configured to: transmit the list of energy sources to the first computing device for display; receive, from the first computing device, a selection of one energy source from the list of energy sources; and transmit, to the first computing device and a second computing device associated with the selected one energy source, a location at which the energy request is to be fulfilled. An energy transfer module is configured to selectively enable an electrical energy transfer from the selected one energy source to the energy receiver.

Energy transfer systems and methods

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Royal Oak, MI, United States of America

Kunaal Verma