Ford Global Technolgoies, LLC

Ford Motor Company Limited

John William Schmotzer

Pol Llado

Mark Poll

Ali Hassani

Perry Robinson Macneille

Oleg Yurievitch Gusikhin

Sangeetha Sangameswaran

Jason Michael Miller

Medville Jay Throop

Alexander Groh

Arun Dutta

Brian David Tillman

Douglas B Thornburg

Harminder Singh Sandhu

Xiangrui Zeng

Suhag Raval

Praveen Bandi

Daryl Joseph Martin

Mark Joseph Meyer

Dehua Cui

Basavaraj Tonshal

Mark Anthony Rockwell

Praveen Kumar Yalavarty

Richard Gordon

Jae Hyung Lim

Daniel Joseph Madrid

Ryan Hunt

Jakob Nikolaus Hoellerbauer

Jacob Doan

Dave A Herman

Eric Ramsay Paton

Panduranga Kondoju

Erik Biberstein

Jamal Alezzani

Yao Ge

Darcy Salman

Taylor Hawley

Leighton Barnes

Matthew Schmotzer

Dylan Verster

Brian Hofmann

An electrified vehicle having an electric machine coupled to a traction battery to selectively propel the vehicle and associated method for the electrified vehicle include receiving trip data from an external server, the trip data including a plurality of road segments of a selected route from a starting location to a destination, each road segment having an associated energy consumption and distance, calculating a distance-to-empty (DTE) based on a remaining trip distance to the destination, available energy of the traction battery, an estimated traction battery energy required for the remaining trip distance, and an overall vehicle efficiency, the estimated traction battery energy being based on a combination of the received segment energy consumption and distance of each remaining segment in the trip, and communicating the DTE to a display within the electrified vehicle to reduce fluctuations in displayed DTE during travel along routes with nonlinear energy consumption (changing energy efficiency).

Electrified vehicle control with dynamic segment-based distance-to-empty (DTE)

Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.

Systems and methods for providing predictive distance-to-empty for vehicles

The present disclosure is directed toward a method and system for deconstructing and searching binary based vehicular data. The method includes extracting a vehicle filename metadata for one or more vehicular files; parsing data of the vehicular files to generate categorized objects based on a vehicular data dictionary for the vehicular files; associating each of the categorized objects with a respective vehicle filename metadata; storing vehicular documents indicative of the categorized objects with associated vehicle filename metadata in a database system; building a query based on a search input acquired by way of a search interface being displayed; and transmitting search results in response to the search input. The vehicular data dictionary defines multiple terms indicative of decoding logic provided in the vehicular files.

Method and system for deconstructing and searching binary based vehicular data

A vehicle is described that includes a video camera configured to record video, a processor configured to process the recorded video from the video camera into hyperlapse video, and an input/output device to link the hyperlapse video with a social network associated with at least one of a driver of the vehicle and the vehicle. The processor may be configured to receive video data from the video camera and to create the hyperlapse video by reconstructing a video stream from the video data, planning a smooth path through the video stream, and rendering the video data along the smooth path into the hyperlapse video that has a faster speed and less jitter than the video stream. The hyperlapse video may be a non-native, sped-up video of the recorded video from the video camera.

Vehicle with hyperlapse video and social networking

A powertrain controller of a vehicle provides a fuel pump actuator signal indicative of fuel flow to a vehicle bus. A processor is configured to receive data from the vehicle bus. The processor performs an integration of the actuator signal to accumulate fuel usage of the vehicle, and periodically sends the accumulated fuel usage, vehicle speed, engine speed, engine status, and vehicle location to a remote server. A subset of accumulated fuel usage is retrieved for a set of the vehicles of a fleet traversing a route during a timeframe, the accumulated fuel usage compiled from fuel pump actuator signals. Fuel waste is computed for identified idle time periods within the accumulated fuel usage. Monetary waste is computed from the fuel waste. A report is generated including the monetary waste.

Fleet management efficiency visualization

A system includes at least one processor configured to, in response to receiving a VIN from a remote vehicle, transmit to the vehicle a parameter definition selected based on fields of the VIN to configure an ECU of the vehicle to enter a logging mode to capture, aggregate, and send operational data of the vehicle, and a bandwidth configuration file for a modem of the vehicle based on historical throughput requirements associated with operational data. The parameter definition may include a reporting application configured to be executed by a processor of the ECU to generate a processed parameter from a raw parameter associated with vehicle operation. Also, the parameter definition may include updated firmware for the ECU, and the reporting application is configured to be executed by the ECU after the updated firmware is installed in the ECU.

Efficient telematics data upload

A system includes a processor configured to store a buffer of accelerable broadcast content. The processor is also configured to determine that a predefined condition exists, defining a situation where content acceleration is appropriate. The processor is further configured to determine a broadcast content playback point where content should be accelerated and playback a predetermined portion of the buffer at a predefined accelerated pace, responsive to reaching the playback point.

Method and apparatus for advanced audio/video stream management to increase advertising opportunity

A system includes a processor configured to query one or more vehicle electronic control unit (ECU) modules to determine current software versions installed on the ECU modules, responsive to a multi-cycle update process resuming. The processor is also configured to pause the update process, responsive to the query identifying a change in at least one software version to a different version from when the update process first began. The processor is additionally configured to report the change to a remote source.

Method and apparatus for multi cycle vehicle software update compliance handling

A system includes a processor configured to route a telematics message to all networks not pre-identified as backbone networks in response to a directionality bit, included in a CAN identifier, indicating non-backbone routing. The processor is also configured to route the telematics message to any pre-identified backbone networks in response to the directionality bit indicating backbone routing.

Method and apparatus for vehicle message routing

A telematics control system includes: an external server configured to serialize a script with an external protocol buffer and transmit the serialized script to a telematics control units (TCU); a vehicle having sensors and the TCU, the TCU configured to: deserialize the script with a TCU protocol buffer, execute the script via an interpreter preloaded on the TCU, store data from the sensors based on the script.

Scripting on a telematics control unit

A vehicle electronic control unit (ECU) may control a vehicle subsystem and be configured to receive from a remote server via a vehicle telematics unit (TCU), a parameter definition of a processed parameter to be computed by the ECU; generate the processed parameter according to the parameter definition based on a raw parameter generated by the ECU; and send the processed parameter to a vehicle data buffer associated with the ECU for upload to the remote server via the TCU.

A system comprising a mobile computing device that includes a processor and a memory. The memory storing programming executable by the processor to detect an identifier in each of two or more of asynchronous light sources detected by a light sensor, the identifier including a position of the light source and use at least a coordinate system having an origin in the light sensor and the position of the light source, to determine a location of the mobile device.

In-vehicle device position determination

Embodiments include a vehicle comprising a plurality of wheels, each wheel including a pressure sensor and a wireless transceiver; a central transceiver configured to obtain tire pressure and signal strength information from each of the wireless transceivers; and a processor communicatively coupled to the central transceiver and configured to detect removal of one of the wheels based on the signal strength information obtained from the wireless transceiver included in the removed wheel. Other embodiments include a method comprising obtaining tire pressure and signal strength information from each of a plurality of wireless transceivers respectively coupled to a plurality of wheels included in a vehicle; and detecting, using one or more processors, removal of one of the wheels from the vehicle based on the signal strength information obtained from the wireless transceiver included in the removed wheel.

Vehicle wheel anti-theft system and method

A method including: receiving a synchronization signal and collecting a rolling shutter image of a modulated light on a sensor, determining a primary frequency from the rolling shutter image, and comparing the primary frequency to an expected primary frequency image to determine a directional movement related to a vehicle.

Vehicle positioning system

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Canton, MI, United States of America

John William Schmotzer