Gm Global Technolgoy Operations, Inc.

Cody D Berman

Thomas John Timpf, Jr

Vivekananda Shripathy

Brandon R Jones

Brunno L Moretti

Margaret C Richards

Justin K Francisco

Matthew S Stout

Ryan M Ashby

Godwin Wede

William F Durgin

Tony Wingett

Systems and processes are provided for adaptive cruise control. The process includes receiving information about a distance between vehicle and a traffic signal, receiving information about a state of the traffic signal, and determining whether to adjust the speed of the vehicle based upon the distance between the vehicle and the traffic signal and the state of the traffic signal.

Adaptive cruise control system

A system of selecting charging modes for a rechargeable energy storage unit in an autonomous device includes a controller having a processor and tangible, non-transitory memory on which is recorded instructions. The controller is configured to determine availability of at least one charging station and at least one parking lot through a survey of local charging infrastructure and local parking infrastructure, respectively, within a predefined radius of the autonomous device. The controller is configured to determine if it is cost-effective during an excursion to incur a charging fee at the charging station or incur a parking fee at the parking lot. If it is cost-effective to incur the charging fee, then the controller is configured to selectively employ at least one of a plurality of charging modes, including an open-ended charging mode and a defined departure charging mode.

Selection of charging modes for autonomous device

A method and system for waking up a primary microcontroller of a controller in response to a change in a control pilot signal generated by an external device coupled to the controller includes coupling the external device to an input port electrically connected to the controller. A control pilot signal generated by the external device is received by the input port and outputted to a monitoring device of the controller in low power mode. The monitoring device in low power mode polls the control pilot signal and upon detecting a valid change transitions to normal power mode to output a wakeup pulse to the primary microcontroller, which in a sleep state receives the wakeup pulse and wakes up to execute instructions stored on the primary microcontroller. In an example, the system controls recharging of a battery by a charging station which outputs a pulse width modulated control pilot signal.

Method and apparatus for controller wakeup using control pilot signal from charge port

A battery management method includes the following steps: (a) reading, via a battery management processor, a non-volatile memory to determine if the non-volatile memory contains data indicative of a brownout in the auxiliary battery module; (b) receiving, via the battery management processor, at least one input signal from at least one brownout detector of at least one smart device having a device processor in order to determine a brownout condition in at least one smart device; (c) determining, via the battery management processor, that a triggering event has occurred if the non-volatile memory contains data indicative of the brownout in the auxiliary battery module or the at least one smart device exhibits a brownout condition; and (d) commanding, via the battery management processor, the main battery module to electrically charge the auxiliary battery module of the hybrid vehicle if the triggering event has occurred.

Auxiliary battery management system and method

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Ann Arbor, MI, United States of America

Cody D Berman