Gm Global Technolgoy Operations, Inc.

Other

Kevin C Wong

Christopher E Whitney

Ning Jin

Alberto Bemporad

Daniele Bernardini

Alfred E Spitza, Jr

Kerfegar Khurshed Katrak

Paul Alan Bauerle

Michael Livshiz

Jyh-shin Chen

Todd R Shupe

Robert J Genslak

Jeffrey M Hutmacher

Marcus S Gilbert

Kenneth J Buslepp

Douglas R Verner

David S Mathews

Julian R Verdejo

Robert Douglas Shafto

Ruixing Long

Gary Robert Cygan, Jr

Kevin J Storch

Christopher K Clarke

Richard W Gushman

Sharon L Storch

Timothy J Johnson

William R Venner

Randall J Guild

William Western

Paul Nahra

Edward J Tully

James A Shore

Mark D Finkel

William S Beggs

Kim Bloxsom

Joshua J Ksiazkiewicz

Karen A Blandino

Sameer Ogale

Steven M Hubble

Roger Bennett

A method to detect and mitigate sensor or actuator degradation in an automobile system includes: collecting a signal data output from at least one device which is outputting the signal data in response to monitored operational parameters of a motor vehicle system; analyzing patterns of the signal data compared to a signal data output from a nominal operating one of the at least one device using an artificial intelligence program; and identifying when the patterns of the signal data exceed a threshold level indicating the at least one sensor or actuator is operating in a degraded condition.

Method and system to control propulsion systems having sensor or actuator degradation

A method to detect and mitigate sensor degradation in an automobile system includes: collecting output signal data from at least one of a sensor and an actuator which is outputting the signal data related to operational parameters of a vehicle system; placing the sensor or the actuator in communication with a fault box used to purposely corrupt the output signal data; analyzing patterns of the output signal data compared to signal data from a nominal operating sensor or actuator using an artificial intelligence program; identifying when a statistical range of the patterns exceeds a first threshold level; and modifying a control signal to change the operational parameters of the vehicle system.

Method and system to detect and mitigate sensor degradation

A propulsion system, control system, and method are provided for optimizing fuel economy, which use model predictive control systems to generate first and second predicted actual axle torques and first and second predicted actual fuel consumption rates based on first and second sets of possible command values, respectively. The sets of possible command values include commanded engine output torques and commanded transmission ratios. First and second costs are determined for the first and second sets of possible command values, respectively, based on a first predetermined weighting value, a second predetermined weighting value, the first and second predicted actual axle torques, respectively, the first and second predicted actual fuel consumption rates, respectively, an axle torque requested, an engine output torque requested, a transmission ratio requested, and a fuel consumption rate requested. One of the first and second sets of possible command values is selected and set based on the lower cost.

Propulsion system control with MPC

A system according to the principles of the present disclosure includes a model predictive control (MPC) module and an actuator module. The MPC module generates a set of possible target values for an actuator of an engine and predicts an operating parameter of the engine for each of the possible target values. The MPC module determines a weighting value associated with each of the target values based on a corresponding iteration number and determines a cost for the set of possible target values based on the predicted operating parameters and the weighting values. The MPC module selects the set of possible target values from multiple sets of possible target values based on the cost and sets target values to the possible target values of the selected set. The actuator module controls an actuator of an engine based on at least one of the target values.

System and method for adjusting weighting values assigned to errors in target actuator values of an engine when controlling the engine using model predictive control

A tangible computer readable medium of a vehicle includes object code referencing a plurality of variables, the object code for: identifying sets of possible target values based on air and exhaust setpoints for an engine; generating predicted parameters based on a model of the engine and the sets of possible target values, respectively; selecting one of the sets of possible target values based on the predicted parameters; setting target values based on the selected one of the sets of possible target values, respectively; and controlling opening of a throttle valve based on a first one of the target values. The tangible computer readable medium also includes calibration data stored separately and that includes predetermined values for the variables referenced in the object code, respectively. At least one processor executes the object code using the predetermined values to perform the identifying, the generating, the selecting, the setting, and the controlling.

Calibration systems and methods for model predictive controllers

A powertrain control system for a motor vehicle having a transmission and an engine includes an axle torque controller that determines a desired engine torque and a desired speed ratio from a plurality of inputs, an engine controller that determines a commanded engine torque based on the desired engine torque, wherein the commanded engine torque is used to control the engine to produce an actual engine torque, a transmission controller that determines a commanded gear ratio based on the desired gear ratio, wherein the commanded gear ratio is used to control the transmission to produce an actual gear ratio, and an estimator that determines an actual axle torque of the motor vehicle from the actual engine torque and the actual gear ratio. The plurality of inputs includes a desired axle torque, the actual axle torque, a desired fuel rate, an actual fuel rate.

Axle torque control system for a motor vehicle

A torque requesting module generates a first torque request for a spark ignition engine based on driver input. A torque conversion module converts the first torque request into a second torque request. A setpoint control module generates air and exhaust setpoints for the spark ignition engine based on the second torque request. A model predictive control (MPC) module identifies sets of possible target values based on the air and exhaust setpoints, generates predicted parameters based on a model of the spark ignition engine and the sets of possible target values, respectively, selects one of the sets of possible target values based on the predicted parameters, and sets target values based on the possible target values of the selected one of the sets. A throttle actuator module controls opening of a throttle valve based on a first one of the target values.

Airflow control systems and methods using model predictive control

An engine control system for a vehicle may include a sequence determination module that generates a first set of possible MPC target values and a second set of possible MPC target values. A cost module determines a first cost for the first set of possible MPC target values and a second cost for the second set of possible MPC target values. A selection module that selects MPC target values from one of the first and second sets of possible MPC target values based on the first and second costs. A transition module that receives the MPC target values, compares the MPC target values with a plurality of previous control requests, and selects a set of target values ranging from the previous control requests to the MPC target values that control a plurality of engine functions.

Non-model predictive control to model predictive control transitions

A system according to the present disclosure includes a model predictive control (MPC) module, an actuator module, and a remedial action module. The MPC module performs MPC tasks that include predicting operating parameters for a set of possible target values and determining a cost for the set of possible target values based on the predicted operating parameters. The MPC tasks also include selecting the set of possible target values from multiple sets of possible target values based on the cost and setting target values to the possible target values of the selected set. The actuator module controls an actuator of an engine based on at least one of the target values. The remedial action module selectively takes a remedial action based on at least one of an amount of time that elapses as the MPC tasks are performed and a number of iterations of the MPC tasks that are performed.

System and method for managing the period of a control loop for controlling an engine using model predictive control

A torque requesting module generates a first torque request for a spark ignition engine based on driver input. A torque conversion module converts the first torque request into a second torque request. A setpoint module generates setpoints for the spark ignition engine based on the second torque request. A model predictive control (MPC) module: identifies sets of possible target values based on the setpoints; generates predicted parameters based on a model of the spark ignition engine and the sets of possible target values, respectively; selects one of the sets of possible target values based on the predicted parameters; and sets target values based on the possible target values of the selected one of the sets. A first constraint module selectively sets a predetermined range for first one of the target values. The MPC module limits the first one of the target values to within the predetermined range.

A system according to the principles of the present disclosure includes a desired capacity module, an anticipated torque request module, and an engine actuator module. The desired capacity module generates a desired torque capacity of an engine at a future time based on a present torque request and a maximum torque output of the engine. The anticipated torque request module generates an anticipated torque request based on the desired torque capacity. The engine actuator module controls an actuator of the engine at a present time based on the anticipated torque request.

System and method for adjusting a torque capacity of an engine using model predictive control

A model predictive control (MPC) module: identifies sets of possible target values based on an engine torque request; determines predicted operating parameters for the sets of possible target values, respectively; determines cost values for the sets of possible target values, respectively; selects one of the sets of possible target values based on the cost values; and sets target values based on the possible target values of the selected one of the sets. An actuator module controls an engine actuator based on one of the target values. A fault diagnostic module selectively diagnoses a fault in the MPC module.

Fault diagnostic systems and methods for model predictive control

For an upshift of a transmission, a model predictive control (MPC) module sets target intake and exhaust valve timings for changes in a torque request that occur during the upshift. A phaser actuator module controls intake valve phasing of an engine based on the target intake valve timing and controls exhaust valve phasing based on the target exhaust valve timing.

Engine control systems and methods for transmission upshifts

The intake system includes an integrated airflow cooler module comprising a lower manifold assembly and a throttle body fluidly connected to, and disposed within the lower manifold assembly to meter combustion air into a lower manifold volume of the lower manifold assembly. An upper manifold assembly is configured for assembly to the lower manifold assembly to define a manifold volume therebetween and a heat exchanger is disposed in the manifold volume, between the upper manifold assembly and the lower manifold assembly and between a combustion air inlet in the integrated airflow cooler module and the throttle body.

Intake system for an internal combustion engine

A vehicle includes an intercooler cooling fluid circuit coupled to and in fluid communication with a turbocharger of an internal combustion engine for circulating a flow of cooling fluid to the turbocharger to cool the turbocharger. A turbocharger cooling control valve controls fluid flow between the turbocharger and an intercooler. The turbocharger cooling control valve directs the flow of the cooling fluid to the intercooler when the engine is running, directs the flow of cooling fluid to the turbocharger when the engine is not running. The vehicle uses an intercooler pump for circulating the cooling fluid to both the intercooler when the vehicle is running and the turbocharger when the vehicle is not running.

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Ann Arbor, MI, United States of America

Kevin C Wong