Ford Global Technolgoies, LLC

Ford Motor Company Limited

Massachusetts Institute of Technology

University of Michigan

Anthony Mark Phillips

Ming Lang Kuang

Miroslava Jankovic

Ryan Abraham McGee

Kathleen Ellen Bailey

John Richard Blankenship

Diana Yanakiev

Michael W Degner

Fazal Urrahman Syed

Xiaoyong Wang

Ilya V Kolmanovsky

John Ottavio Michelini

Yanan Zhao

Hai Yu

Michael Alan Tamor

Johannes Geir Kristinsson

Qing Wang

Jack H Xu

Michael Rinehart

Bengt Norén

Munther Dahleh

Jonas A Jerrelind

Georgia-Evangelia Katsargyri

David Karl Bidner

Dimitar Petrov Filev

Fling Finn Tseng

Yifan Chen

Wei Liang

Xu Wang

Yonghua Li

Venkatapathi Raju Nallapa

Basavaraj Tonshal

Richard Dyche Anderson

Brandon R Masterson

Ritesh Pandya

Julius Marchwicki

Deepa Ramaswamy

Jing Song

Panduranga Kondoju

Charles Joseph King, Ii

Florian Frischmuth

Ylldes Zeneli

Jungme Park

Yi Murphey

Chen Fang

Johan Karl Henning Tollmen

Fredrick Hansson

Bengt Norin

Wenduo Wang

A vehicle includes an interface that displays an image of objects in a vicinity of the vehicle, and a controller that alters a depth of field of the image based on a focal point associated with a direction of driver eye gaze relative to the image to alter blurriness of the image away from the focal point.

Focus system to enhance vehicle vision performance

A stability control system for a vehicle that has an electric traction motor that provides torque to an axle through a differential. The traction motor responds to an instability event that is sensed by sensors on the vehicle by initially reducing the torque provided to the traction wheels to regain steering control. The traction motor then pulses increased torque in sequence with the application of braking force to provide enhanced direct yaw moment control.

Electronic stability control system for electric drive vehicle

A system includes a processor configured to determine available vehicular connectivity options in response to a data transfer request. The processor is further configured to determine a preferred option from the available connectivity options based on previously stored connectivity policies, if multiple connectivity options exist which can be utilized to fulfill the request, and utilize the preferred option to fulfill the request.

Method and apparatus for distributed connectivity vehicle management

The disclosed system and method changes a traction torque request in a vehicle powertrain with a driver-controlled vehicle accelerator pedal. A desired transfer function parameter in a powertrain control module is chosen by the driver to obtain a desired functional relationship between a traction torque request or a power plant torque request and accelerator pedal position.

System and method for obtaining an adjustable accelerator pedal response in a vehicle powertrain

A battery controller with monitoring logic for a model-based battery control of a battery performs battery current characterizing, parameter and state variable abnormality detection, and bound checking of error signals between measured and predicted output variables to generate an output. Switching between closed-loop operation (i.e., the model-based battery control) and open-loop operation (i.e., a traditional battery control) is done based on the output of the monitoring logic such that closed-loop stability and performance are reasonably guaranteed.

Battery controller with monitoring logic for model-based battery control

A vehicle includes a powertrain having an electric machine and an engine. The vehicle also includes a controller programmed to operate the powertrain according to a predicted vehicle speed profile for a predetermined route segmented according to a group of driving zone types, wherein each driving zone type is associated with a different characteristic speed profile shape and vehicle location. The controller is further programmed to update the predicted segment speed profile in response to deviation between the predicted speed profile and a measured speed profile.

Vehicle speed profile prediction using neural networks

A method includes utilizing navigation data from a navigation system to segment a route to be travelled by a travelling vehicle into segments each having a road grade different than neighboring segments. The method further includes discharging a battery of the vehicle as the vehicle travels along an initial segment of the route according to a state-of-charge (SoC) set-point based on the road grade of the initial segment and a variable representative of the road grades of at least two other segments of the route.

Electric vehicle and method of battery set-point control

A vehicle engine, electric machine and battery are operated, in certain examples, such that a predetermined route is segmented based on varying criteria to determine target battery state of charge at the segment endpoints along the route. The endpoints are a superposition of endpoints defined by predicted powertrain operating mode transitions, predicted vehicle acceleration transitions or predicted road grade transitions along the route.

Spatial domain optimal electric and hybrid electric vehicle control with path forecasting

An engine, electric machine and battery of a vehicle are operated, in certain examples, such that a state of charge of the battery is generally maintained while the real-time fuel consumption is estimated and minimized by the use of route segmentation and a predictive average power calculation.

Real-time fuel consumption estimation

A method for determining a route for a vehicle includes receiving input indicative of a driver's dynamic control of the vehicle, determining the driver's driving style based on the input, and selecting values of parameters representing the driver's anticipated dynamic control of the vehicle based on the driving style. The method also includes identifying a plurality of candidate routes between an origin and destination, partitioning each of the candidate routes into a set of predefined route patterns, and determining an energy usage associated with each of the candidate routes based on the selected values and the set of predefined route patterns defining the candidate route. The method further includes identifying the candidate route having the minimum energy usage and providing output describing the route having the minimum energy usage.

System and method for determining a vehicle route

A path-dependent control of a hybrid electric vehicle (HEV) includes segmenting an original route into segments. A virtual route based on the remaining portion of the original route is generated once the HEV reaches a current segment of the original route. The virtual route includes a first segment corresponding to the current segment of the original route and a last segment representing at least two other segments of the remaining portion of the original route. Battery SoC set-points for the segments of the virtual route are generated. The vehicle is controlled according to the battery SoC set-point for the first segment of the virtual route as the vehicle travels along the current segment of the original route.

Hybrid electric vehicle and method of path dependent receding horizon control

A powertrain for a hybrid electric vehicle (HEV) such as a plug-in hybrid electric vehicle (PHEV) includes an engine, a fuel tank, a battery, and a controller. The controller is configured to determine a distance to empty value as a sum of fuel in the fuel tank and a battery equivalent amount of fuel, the sum multiplied by an average fuel economy of the PHEV based on a driving condition of the vehicle.

Plug-in hybrid electric vehicle and method of control for providing distance to empty and equivalent trip fuel economy information

A computer-implemented method includes determining that a vehicle powertrain feature is engaged. The method further includes relaying, to a remote computing source, a request for a computation to be performed relating to the engaged powertrain feature. The method additionally includes receiving a result of the computation at a vehicle computing system and transferring the result of the computation to a powertrain for use in controlling the powertrain feature.

Methods and apparatus for dynamic powertrain management

In at least one embodiment, a device for controlling an amount of torque generated by a powertrain in a vehicle is provided. The controller is configured to receive a driver status signal indicative of the status of the driver, a driver condition signal indicative of the driving conditions of the vehicle, and a driver mode signal indicative of the driving mode of the vehicle. The controller is further configured to control the powertrain to adjust the amount of torque that is generated based on the driver status signal, the driver condition signal, and the driver mode signal.

System and method for controlling torque based on driver status

A method and system for controlling a vehicle having an electric powertrain and an electric energy storage system. The electric energy storage system includes a capacitor, DC/DC converter, and a battery. The electric energy storage system is controlled to maximize use of the capacitor relative to use of the battery.

Method and system for use with a vehicle electric storage system

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Northville, MI, United States of America

Anthony Mark Phillips