Gm Global Technolgoy Operations, Inc.

F.tech R&d North America, Inc.

Joseph K Moore

Mansoor Alghooneh

Halit Zengin

Terry W Ostan

Amin Abdossalami

Liviu Serbu

Lei Li

Fahim Javid

Carlos E Arreaza

Balbir S Sangha

Donald K Grimm

Anushya Viraliur Ponnuswami

Fan Bai

Jinzhu Chen

Zohir Molhem

Hojjat Izadi

Christopher J Mettrick

Amin Habibnejad Korayem

Chong Keong Tang

Anthony L Lyscio

Harnit Kaur Anand

Chandra S Namuduri

Norman Joseph Weigert

Kenneth L Oblizajek

Amir Khajepour

Anthony James Corsetti

Wojciech E Suchta

Shawn F Granda

Len V Peschansky

Ehsan Hashemi

Nojan Medinei

David Cochrane

Phanu Amatyakul

Paul S Shaub

Dmitriy V Mazur

Hasan Alper Hepguvendik

Xiao Yu

Jackson L Bahm

Dennis P Stenson

Yechen Qin

Norman A Parker

Michael A Ray

Tyler J Jamieson

Bikramjit Sarkaria

Rana M Dastgir

Stacey M Blundell

Jintaek Kwon

Philip J Fikany

Jonathan P Rossiter

Benjamin J Eles

Swee Meng Yong

Yue Zhuang

Mauricio Vazquez Camarena

Qiang Xu

Jongmin B Park

Thomas J Mockeridge

Steven J McCormick

Gregory A Piper

Tommy Thai Ngoc Tran

Eungkil Lee

Yassir E Elrayah

Gregory P Kakert

Methods and systems are provided for estimating weight-related parameter values of a vehicle. The system includes a sensor system, a display device, and a controller configured to, by a processor, receive, from the sensor system, static sensor data sensed while the vehicle is stationary and coupled to a trailer and dynamic sensor data while the vehicle is being driven and not coupled to the trailer, wherein the static sensor data includes a deflection value associated with a suspension system of the vehicle, estimate, while the vehicle is stationary, one or more weight-related parameter values using a suspension model and the static sensor data, determine degradation of the suspension system over time using a suspension sag estimation model and the dynamic sensor data, update the suspension model to accommodate for the degradation of the suspension system, and display the one or more weight-related parameter values on the visual display.

Methods and systems for vehicular weight-related parameter estimation

Methods and systems for a vehicle of a remote transportation system. A vehicle includes a non-transitory computer readable media and one or more processors configured by programming instructions on the non-transitory computer readable media to: coordinate a platooning operation between the first vehicle and a second vehicle; monitor an environment of the first vehicle and the second vehicle while platooning; in response to the monitoring, determine a threat level vassociated with a cut-in operation of at least one object within the environment; and selectively activate at least one visual or audio cue based on the threat level to avoid the cut-in operation.

Vehicle cut-in threat detection and mitigation between a leader and follower platoon

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Connected vehicle-based road surface quality determination

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive geoindexed detected vehicle event data from at least one vehicle occurring within a predefined time period, normalize the geoindexed detected vehicle event data according to Global Position System (GPS) data corresponding to a geoindex map, and generate an infrastructure recommendation based on the normalized and aggregated geoindexed detected vehicle event data.

Connected vehicle road-safety infrastructure insights

Methods and systems are provided for a vehicle towing a trailer. In an exemplary embodiment, one or more sensors onboard a vehicle are configured to provide sensor data, and a processor onboard the vehicle is configured to at least facilitate: monitoring a trailer sway of the trailer using the sensor data, based on one or more parameters of the sensor data representing the trailer sway and application of a band-pass filter to the one or more parameters; and mitigating the trailer sway, via instructions provided by the processor to one or more braking systems of the vehicle, the trailer, or both, when it is determined that the trailer sway of the trailer is sufficient to warrant mitigation based on the one or more parameters of the sensor data representing the trailer sway and the application of the band-pass filter to the one or more parameters.

Method and system for control of trailer sway

A method for determining a tire tread wear estimation of a tire includes receiving, by a controller, a direct tire tread wear measurement, when available, performing an indirect tire tread wear estimation, performing a data fusion of the indirect tire tread wear estimation with the direct tire tread wear measurement when available, estimating a percentage tire life remaining and a mileage to end of tire life, and estimating a refined tire tread wear calibration coefficient for performing future indirect tire tread wear estimations.

Systems and methods for estimating tire wear

A distributed computing system for determining road surface traction capacity for roadways located in a common spatio-temporal zone includes a plurality of vehicles that each include a plurality of sensors and systems that collect and analyze a plurality of parameters related to road surface conditions in the common spatio-temporal zone. The distributed computing system also includes one or more central computers in wireless communication with each of the plurality of vehicles. The one or more central computers execute instructions to determine a road surface traction capacity value for the common spatio-temporal zone.

Distributed computing system for determining road surface traction capacity

A vibration monitoring system includes a plurality of encoders and an analyzer. The encoders are configured to generate multiple pulse train signals for multiple wheels. Each encoder is coupled to a respective one of the multiple wheels and generates a single one of the pulse train signals. The analyzer is coupled to the encoders and is configured to generate multiple pulse per revolution signals and multiple angular velocity signals for the wheels in response to the pulse train signals. Each pulse per revolution signal conveys a single pulse per rotation of the respective wheel. The analyzer is further configured to generate an input phasor array representative of the pulse per revolution signals, generate a response phasor array in response to the angular velocity signals for the wheels, and generate a report that identifies at least one vibrating wheel in response to the input phasor array and the response phasor array.

Robust tire/wheel vibration monitor system

A method including detecting an obstacle location in response to an image, determining the obstacle location in response to a range measurement received from a range sensor, predicting a tow vehicle path in response to a tow vehicle steering angle and a tow vehicle location, predicting, by a processor, a trailer wheel path in response to the tow vehicle path, a vehicle dimension and a trailer dimension, and generating a warning control signal in response to an intersection of the obstacle location and the trailer wheel path.

Vehicle and trailer wheel path collision detection and alert

In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for estimating a Hitch Articulation Angle (HAA) using Ultra-Sonic Sensors (USSs) while ensuring quality detected echo signal performance using plausibility filtering, generating at least one set of USS data based on detecting a set of echo signals generated by a plurality of USSs configured about a vehicle coupled to a trailer; determining based on a set of USS data using a selected set of geometric equations in a plausibility filtering process for an arbitrary frontal shape of the trailer; and generating at least one comparison based on at least one set of USS data estimations to a kinematic model at low speeds for ensuring that results of the kinematic model to the HAA associated with the determined trailer shape is based on a pair of detected echo signals that are deemed to have a higher signal performance.

Methods, systems, and apparatuses to estimate hitch articulation angle (HAA) using ultra-sonic sensors (USS) and fusion with other sensors

A self-calibration method of determining remaining useful life of an internal combustion engine's air filter includes establishing a pressure drop versus mass airflow rate relationship for a clean air filter using pressure drop, mass airflow rate, and temperature data captured at low and elevated engine speeds. The method also includes establishing a maximum clean air filter pressure drop at a preset maximum airflow using the clean filter relationship. The method additionally includes establishing a pressure drop versus mass airflow rate relationship for an in-service air filter using pressure drop, mass airflow rate, and temperature data captured at low and elevated engine speeds. The method also includes determining a maximum in-service air filter pressure drop at the preset maximum airflow using the in-service filter relationship. The method further includes comparing the maximum clean and in-service air filter pressure drops to determine the remaining useful life of the in-service air filter.

Self-calibrating engine air filter life monitoring system

A method for diagnosing an air filter status includes receiving, by a controller, sensor data indicative of a mass air flow rate, an air temperature and an air pressure of an air cleaner assembly including an air filter, determining an air filter life remaining from the sensor data, and receiving data indicative of a vehicle condition. The method also includes determining when a first condition is satisfied and when true, triggering an air filter leakage alert. When the first condition is not satisfied, the controller determines when a second condition is satisfied. When the second condition is satisfied, the controller determines when a third condition is satisfied, and when the third condition is satisfied, triggers an air filter snow intrusion alert. When the second condition is satisfied and the third condition is not satisfied the controller triggers an air filter blockage alert.

Systems and methods for engine air filter system diagnostics

A method of determining a volume of a fluid in a reservoir arranged in a vehicle includes assessing, via a controller, whether a first sensor operatively connected to the reservoir and configured to detect a predetermined level of the fluid in the reservoir has been triggered. The method also includes detecting, via a second sensor, a vehicle operative state indicative of inclination of a free surface of the fluid in the reservoir. The method additionally includes communicating, via the second sensor, the detected vehicle operative state to the electronic controller and determining a degree of inclination of the free surface of the fluid in response to the detected vehicle operative state. Furthermore, the method includes determining, via the controller, the volume of the fluid in the reservoir when the first sensor has been triggered in response to the determined degree of inclination of the free surface of the fluid.

Fluid volume determination enhanced by assessment of vehicle operative state

Embodiments include methods, systems and computer readable storage medium for a method for detection and notification of a tire leak is disclosed. The method includes receiving, by a tire leak detection system, sensor data from one or more tires. The method further includes determining, by the tire leak detection system, an occurrence of a leak anomaly in at least one of the one or more tires based on the sensor data. The method further includes predicting, by the tire leak detection system, a time and/or distance the at least one of the one or more tires will function ineffectively. The method further includes outputting, by the tire leak detection system, a code to a user or server indicating a leak type associated with the leak anomaly.

Tire leak detection and notification system

Examples of techniques for vehicle suspension system alignment monitoring are disclosed. In one example implementation, a method includes receiving vehicle data and environmental data including, inertial measurement unit (IMU) acceleration data and global positioning system (GPS) velocity data from a GPS associated with the vehicle, and steering wheel angle data, driver applied torque data, and electronic power steering (EPS) applied torque data associated with the steering system. The method further includes mitigating for at least one of a vehicle effect and an environmental effect based on the vehicle data and environmental data. The method further includes detecting a misalignment based at least in part on one or more of the IMU acceleration data, the GPS velocity data, acceleration data, a steering wheel angle, and a self-aligning torque. The method further includes reporting the misalignment of the vehicle based at least in part on detecting the misalignment.

Vehicle suspension system alignment monitoring

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Whitby, Canada

Joseph K Moore