Gm Global Technolgoy Operations, Inc.

Mohan Jayaraman

Nikola J Pudar

Vijay Vardhan

Rajesh S Paul

Rejani D Syamala

Aqueel Husain

A method of providing one or more selectable vehicle tasks to one or more vehicles, comprising the steps of: receiving from each of a plurality of vehicle users at least one user-defined task to be carried out by the user's vehicle, wherein the user-defined task comprises at least one vehicle action and a conditional statement, wherein the conditional statement comprises of one or more vehicle conditions; grouping the received user-defined tasks into equivalency classes, wherein different user-defined tasks that have logically equivalent conditional statements and equivalent vehicle actions are grouped into the same equivalency class; analyzing the equivalency classes; selecting at least one vehicle task based on the analysis in step (c); and sending the selected vehicle task(s) to one or more vehicles for presentation to a user at the vehicle(s).

Vehicle task recommendation system

Methods and systems for maximizing the proportion of renewable energy relative to the total energy used during the charging of electrically powered vehicles are described. The methods and systems contemplate the acquisition, by a TSP, of data pertaining to the renewable energy mixture, i.e. the ratio of energy produced from renewable sources to energy produced from non-renewable sources, of the energy provided by one or more utility companies. Renewable energy mixture forecasts and information pertaining to charging and use of one or more vehicles are used to generate schedules for charging one or more electrically powered vehicles such that the use of renewable energy in vehicle charging is optimized.

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Sterling Heights, MI, United States of America

Mohan Jayaraman