Gm Global Technolgoy Operations, Inc.

Subhash B Gullapalli

Dana Brian Fecher

Gaurav Talwar

Venkata Prasad Atluri

Rathinavelu Chengalvarayan

Nikola J Pudar

Jesse T Gratke

The described method and system provide for remotely controlling the charging operation of plurality of vehicles. In one implementation, a call center may receive a request from a utility regarding a particular grid and sends out an inquiry to locate vehicles in that grid. Once the vehicles have been located, the call center sends a command to those vehicles corresponding to the utility's request. In another implementation, vehicles may register information with the call center every time a charging event takes place, and the call center keeps track of the location of each vehicle based on the registration. When the call center receives a request from a utility, the call center may directly send out commands to vehicles based on the request. In other implementations, vehicle charging may be remotely controlled through the call center by consumers, the utility, or a home energy management system (HEMS). The charging control may further be customized based on a variety of information and preferences provided to the call center by the consumer, utility, or HEMS.

Methodologies for implementing smart control of vehicle charging

A system and method for configuring a vehicle user interface that provides hands-free use of a mobile communications device by a vehicle operator. First, the mobile communications device located at a vehicle is linked with a vehicle user interface in the vehicle so that the driver or other occupant can carry out hands-free telephone calls through the mobile device. Then, an evaluation phone call is placed using the mobile device so that volume levels, noise, etc. can be checked. Based on an analysis of that evaluation call, at least one audio parameter of the vehicle user interface is configured and is thereafter used to improve the audio communication between the user and the vehicle user interface.

Configuring of vehicle communications modules

A system and method for tuning a speech recognition engine to an individual microphone using a database containing acoustical models for a plurality of microphones. Microphone performance characteristics are obtained from a microphone at a speech recognition engine, the database is searched for an acoustical model that matches the characteristics, and the speech recognition engine is then modified based on the matching acoustical model.

Method of using microphone characteristics to optimize speech recognition performance

A configurable energy management system for recharging an electric vehicle. An in-vehicle renewable energy source generates electrical energy for recharging an in-vehicle energy storage device. The at least one off-vehicle renewable energy source provides electrical energy to the vehicle for recharging the in-vehicle energy storage device. A vehicle communication module transmits and receives data. An integration module integrates in-vehicle energy parameter data, in-vehicle renewable energy parameter data, off-vehicle renewable energy parameter data, user parameter data, and web-based data. A user interface device communicates user parameter data to the integration module. The user parameter data includes a prioritization of preferential parameters in re-charging the in-vehicle energy storage device. The integration module identifies an optimal energy source for re-charging the vehicle based on the in-vehicle energy parameter data, in-vehicle renewable energy parameter data, off-vehicle renewable energy parameter data, user parameter data, and the web-based data.

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Ann Arbor, MI, United States of America

Subhash B Gullapalli