Gm Global Technolgoy Operations, Inc.

Azeem Sarwar

Chaitanya Sankavaram

Xiangxing Lu

Steven W Holland

Syed B Mehdi

Yue-Yun Wang

Ibrahim Haskara

Shengbing Jiang

Rafat F Hattar

Shiming Duan

Bryan K Pryor

Xiaoyu Huang

Shanshan L Peer

Madhusudan Raghavan

Chunhao J Lee

Thomas W Nehl

Wei Ping Li

Paul Edward Krajewski

Brian James Koch

Chen-Fang Chang

Xinyu Du

Youssef A Ghoneim

Yilu Zhang

Yo Chan Son

Charles W Wampler, Ii

Yao Hu

Chih-Hung Yen

Layne K Wiggins

Shifang Li

Wen-Chiao Lin

Mark R Claywell

Prakash Mohan Peranandam

Arun Adiththan

Ryan Curtis Sekol

John Anthony Cafeo

Maqsood Rizwan Ali Khan

Thomas A Yersak

Garrett M Seeman

Jeffrey S Piasecki

Ran Yehoshua Gazit

Scott R Jeffrey

Dnyanesh Rajpathak

Ian J Macewen

Anil Bika

Steven Ward Majors

Gregory Deneszczuk

Ramesh Sethu

Md Mhafuzul Islam

Mutasim A Salman

Dean G Sorrell

Matthew Timothy Hamilton

Ciro A Spigno

Wesley G Zanardelli

Ryan B Moulliet

Paolo Giusto

Jonathan Pung

Andrew J Cornelli

Winson Ng

Margaux LeBlanc

Gus Hatoum

Daniel Bouie

Madi Zholbaryssov

Ethan M Blakley

A system and method for locating a trailer coupler on a trailer to assist with the coupling of the trailer coupler to a vehicle hitch on a vehicle. The system includes a human-machine interface, a vehicle camera and a trailer camera, a mobile device application (App) with access to camera and mobile network a vehicle-to-infrastructure communication network, controllers, a memory, sensors, and a trailer detection and trajectory planning application. The application includes: initializing a data stream from the vehicle and trailer camera, capturing the data stream from the vehicle camera and from the trailer camera, determining key landmarks in the data stream, combining the key landmarks, determining a coupler location, computing a joint reference trajectory using the coupler location, and providing navigation assistance in real time based on the joint reference trajectory.

System and method for detecting a trailer coupler and planning a trajectory

A trigger signal is received from a trigger signal source. A first control signal is issued to a wastegate actuator to open a wastegate in response to the trigger signal. A second control signal is issued to a turbo shaft actuator to rotate a turbine of a turbocharger. The rotation of the turbine causes recirculated air to flow in a recirculation flow path including an exhaust manifold, the turbine, an exhaust wall system, and the wastegate. The exhaust wall system includes a turbine housing of the turbine, exhaust walls disposed between the turbine and the wastegate, and exhaust walls disposed between the turbine and a catalyst brick. At least a portion of the recirculation flow path is adjacent to a side of the catalyst brick. Heat transfer occurs from the recirculated air to the exhaust wall system and to the catalyst brick via the side of the catalyst.

Systems and methods for migitating cold start emissions via rotation of turbocharger turbine

A resource sharing marketplace platform for vehicle parking spots includes a back-office server including a controller adapted to run a plurality of integrated systems and a wireless communication module in communication with the controller, wherein, the resource sharing marketplace platform is adapted to receive, via the wireless communication module, a request from a user, collect, via the wireless communication module, data related to available registered parking spots from a network database of registered parking spots, and provide a response to the user including a sub-group of registered parking spots.

Parking and charging marketplace and reservation system

A method is disclosed for determining the state of health of an electric battery that includes a plurality of battery cells. The method includes the steps of measuring the cell voltage of each individual cell of the plurality of battery cells, and analyzing each measured battery cell voltage to determine the state of health of the corresponding battery cell.

Drooping cell detection and state of cell health monitoring

A system and method of performing fault diagnosis and analysis for one or more vehicles. The method includes: obtaining design failure mode and effect analysis (DFMEA) data that specifies a plurality of failure modes; receiving diagnostic association data; receiving vehicle operation signals association data; generating augmented DFMEA data that indicates a causal relationship between the diagnostic data and the first set of failure modes, and that indicates a causal relationship between the vehicle operation signals data and the second set of failure modes, wherein the augmented DFMEA data is generated based on the DFMEA data, the diagnostic association data, and the vehicle operation signals association data; and performing fault diagnosis and analysis for the one or more vehicles using the augmented DFMEA data.

Vehicle fault diagnosis and analysis based on augmented design failure mode and effect analysis (DFMEA) data

A vehicle including a hybrid battery pack includes a first battery pack and a second battery pack. The first battery pack has a higher energy density than the second battery pack. The second battery pack has a higher power density than the first battery pack. A power inverter module is connected between the hybrid battery pack and a motor generator unit (MGU) that is connected to a powertrain of the vehicle. The power inverter module is configured to regulate power flow between the hybrid battery pack and the MGU. A battery management module is configured to: control switching of the power inverter module; selectively charge and discharge at least one of the first battery pack and the second battery pack; and selectively charge the first battery pack with power from the second battery pack.

Energy sharing system and method for a vehicle

A fault diagnostic system includes: memory including a fault model, the fault model including: a plurality of failure modes of a vehicle; and symptoms respectively associated with each of the failure modes; an updating module configured to: based on a data set, determine a new failure mode that is not already included in the fault model and new symptoms indicative of the occurrence of the new failure mode; modify the fault model by: adding the new failure mode to the fault model; and adding the new symptoms to the fault model in association with the new failure mode; and re-save the fault model in the memory.

Fault model augmentation systems and methods

A diagnostic system for a fuel injector includes a plurality of sensors to sense vehicle data. A controller includes a fuel injector diagnostic module configured to receive the vehicle data during operation of the vehicle and to selectively identify at least one of a fuel injector with a stuck armature and a fuel injector with pintle fatigue.

Early detection of fuel injectors with manufacturing issues

System and method of controlling operation of a device having a rechargeable energy storage pack with a plurality of cells, based on propulsion loss assessment. A controller is configured to obtain a state of charge data and an open circuit voltage of the rechargeable energy storage pack. The controller is configured to obtain a state of charge disparity factor (dSOC) from a selected dataset. The state of charge disparity factor (dSOC) is defined as a difference between a minimum value of the state of charge and an average value of the state of charge of the plurality of cells. The controller is configured to control operation of the device based in part on the state of charge disparity factor (dSOC) and a plurality of parameters (P), including raising one or more of a plurality of flags each transmitting respective information to a user.

Controlling operation of device with rechargeable energy storage pack based on propulsion loss assessment

A device and associated method for monitoring a rotatable member is described, and includes a target wheel coupled to the rotatable member, and a sensor that is disposed to monitor the target wheel. The sensor is configured to generate a signal associated with rotation of the target wheel. A controller is in communication with the sensor and includes an instruction set that is executable to dynamically monitor the signal generated by the sensor during rotation of the target wheel and determine a magnitude of an airgap between the sensor and the target wheel based upon the signal. A variation in the magnitude of the airgap between the sensor and the target wheel can be determined based upon the signal, and a fault associated with the rotating member can be determined based upon the variation in the magnitude of the airgap.

Method and apparatus for monitoring a rotatable member

A method for planning and adapting a recommended travel route to a route destination for a vehicle having various subsystems includes identifying the route destination and receiving vehicle health management (VHM)/state of health (SOH) information for each subsystem. The vehicle with a controller programmed to execute the method is also disclosed. The method includes calculating route characteristics of candidate travel routes to the destination using the VHM information and determining, from among the candidate travel routes, travel routes for which the characteristics meet a respective threshold requirement. Thereafter, the controller executes a control action by displaying a candidate route meeting the threshold requirements. An occupant is prompted to revise the mission requirements when no candidate route exists. A default route to a designated parking location or repair depot may be displayed when none of the candidate routes meet the threshold requirements.

Route planning and adaptation based on vehicle health management information

A method and system for detecting a fault in a permanent magnet synchronous motor (PMSM), operably connected to a controller. The method includes receiving at a controller a stator voltages and currents for the PMSM, computing a negative sequence current and a negative sequence voltage for the PMSM; and determining if conditions are satisfied for monitoring for a fault of the PMSM. The method also includes ascertaining a change in the negative sequence current and a change in the negative sequence voltage for a selected time duration, calculating a ratio of the change in the negative sequence current and the negative sequence voltage corresponding to a negative sequence admittance for the PMSM, determining if the negative sequence admittance differs from a nominal value in excess of a threshold; and identifying the stator winding as faulted if the ratio exceeds the threshold.

Early detection of motor stator winding faults

A method and system of diagnosing a lubrication system of an engine includes determining a lubrication system fault and controlling an engine in response to the fault. The method is operative to first determine a poor state of health for a lubrication system, then determine an oil degradation or lube system fault. In response to a lube system fault, engine operation is altered in order to reduce the negative effects of the lube system fault such as increasing minimum idle speed in response to reduced oil pressure.

Method of managing a propulsion system based on health of a lubrication system

Systems and method are provided for collaboration between autonomous vehicles. In one embodiment, a processor-implemented method for coordinating travel between multiple autonomous vehicles is provided. The method includes sending a collaboration request to one or more vehicles in an area to form a group to perform a mission, receiving an acceptance of the collaboration request to join the group wherein the group includes a plurality of vehicles, cooperating in assigning leading functions for the group to one or more of the plurality of vehicles in the group, cooperating in mission negotiations for the group, cooperating in determining a formation for the group, and cooperating in generating a trajectory for the group. The vehicles in the group are operated in accordance with the determined formation and generated trajectory.

Systems and methods for collaboration between autonomous vehicles

A solenoid assembly includes a solenoid having a coil, a current sensor configured to measure the coil current, and a controller. The controller estimates the coil current using a solenoid model, with output of the solenoid model being an estimated coil current, and receives the measured coil current from the current sensor. The controller also calculates an error value having an error sign by subtracting the estimated coil current from the measured coil current. Responsive to the error value exceeding a calibrated error threshold while the control voltage deviates from a nominal value, the controller diagnoses a solenoid fault condition. Responsive to diagnosing the solenoid fault condition, the controller isolates or identifies a particular solenoid fault condition from among a plurality of possible fault conditions, and records a diagnostic code indicative of the particular solenoid fault condition.

System with solenoid assembly and method of fault diagnosis and isolation

Growing community of inventors

Rochester Hills, MI, United States of America

Azeem Sarwar