Garrett Transportation I Inc.

Honeywell International Inc.

Ford Global Technolgoies, LLC

Honeywell Spol, S.r.o.

Jaroslav Pekar

Daniel Pachner

Paul Dickinson

Ondrej Santin

Francesco Borrelli

Tomas Poloni

Vladimir Havlena

Greg Stewart

Gregory Edward Stewart

Gregory Stewart

Dimitar Petrov Filev

John Ottavio Michelini

Anthony Mario D'Amato

Jonathan Thomas Mullen

Lubomir Baramov

Martin Herceg

Daniel Youssef

Pavel Trnka

Matej Pcolka

Dejan Kihas

Kamil Dolinsky

David Vosahlik

Jaroslav Beran

Greg Strewart

Axel Hilborne-Clarke

Francesco Borralli

Werner Hugger

Ferdinando De Cristofaro

Bohumil Hnilicka

Dejan Klhas

Methods and systems for operating a hybrid vehicle having a first power source that uses a rechargeable battery and a second power source that uses a fuel. Preview information relating to upcoming road and traffic is used to generate a speed reference. A transmission torque reference is calculated using the speed reference and upcoming road information. A predictive power split plan is then determined by optimizing use of the first and second power sources to satisfy the transmission torque reference. At least a first sample of the predictive power split plan is then implemented.

Energy efficient predictive power split for hybrid powertrains

Methods and systems for surge control in a compressor system. A recirculation valve position may be actuated in response to identified conditions of potential surge, determined from a compressor map. Recirculation valve position may be controlled by calculating distance of current operating state to a surge line and using proportional integral control to manage the distance. Compressor speed command may be derated in response to identified surge, determined from one of speed fluctuations of the compressor speed, or variance of a compressor speed tracking error.

Methods and systems of compressor control with surge avoidance and response

Advanced vehicle control systems are disclosed. Within a vehicle system having several subsystem controllers dedicated to separate tasks in the vehicle, the subsystem controllers may use supplied control parameters. In this context, a centralized optimization unit is configured to receive prediction data, determine, within a prediction horizon, a modification to at least one supplied control parameter using the prediction data; and communicate the modification to the at least one supplied control parameter to at least one subsystem control unit.

Advanced control framework for automotive systems

Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

Methods of health degradation estimation and fault isolation for system health monitoring

A system and approach for catalyst model parameter identification with modeling accomplished by an identification procedure that may incorporate a catalyst parameter identification procedure which may include determination of parameters for a catalyst device, specification of values for parameters and component level identification. Component level identification may be of a thermal model, adsorption and desorption, and chemistry. There may then be system level identification to get a final estimate of catalyst parameters.

Approach for aftertreatment system modeling and model identification

A system for coordinated control of an engine and associated components over various engine-modes of operation. The system may include an engine, one or more components controllable to adjust operation of the diesel engine, and a system controller. The system controller may be connected to the engine and the one or more components. The system controller may include a supervisory controller and one or more component controllers. The supervisory controller may receive system control variable set points and coordinate component control variable set points for the components to achieve the system control variable set points. The component controllers may control operation of the components to achieve the control variable set points for the components by setting manipulated variable set points for the components based on the component control variable set points and a model based non-linear dynamic inversion.

Engine and emissions control system

Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias.

Online monitoring and diagnostics in vehicle powertrains

An engine and one or more aftertreatment subsystems integrated into one system for optimization and control. At least one controller may be connected to the engine and the one or more aftertreatment subsystems. The controller may contain and execute a program for the optimization and control of the one system. Controller may receive information pertinent to the engine and the one or more aftertreatment subsystems for the program. The controller may prescribe setpoints and constraints for measured variables and positions of actuators according to the program to aid in effecting the optimization and control of the one system.

Integrated optimization and control of an engine and aftertreatment system

An example engine system is disclosed. The engine system may control a turbocharger of an internal combustion engine, and more particularly control a boost pressure provided by a turbocharger to an internal combustion engine. An example method for controlling a boost pressure provided by a turbocharger may include receiving a boost pressure demand and identifying a compressor speed demand to achieve the received boost pressure demand. The method may also include converting the compressor speed demand into a kinetic energy demand of the turbocharger rotating components and controlling the kinetic energy of the turbocharger rotating components to meet the kinetic energy demand by controlling power supplied by the turbine and the electric motor assist.

Boost pressure control for electrically assisted turbochargers

Methods and systems for fault mitigation in an engine system. For ordinary operation, a set of control signals are generated after calculating airflows within the engine system using a set of flow models linked to components of the engine system, while underweighting or omitting an output of a sensor in the engine system. When a fault is identified, the set of flow models is analyzed differently by underweighting or omitting one or more flow models in favor of using the sensor output. By so doing, the engine system can continue to be operated without triggering an on-board diagnostic alert requiring cessation of operation.

Engine mass flow observer with fault mitigation

Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate drift, obstruction and bias estimates.

A system that provides an estimation of quantities, which are not necessarily directly measurable in a subsystem. The estimates of these quantities may be inferred from other variables. This approach may be referred to as inferential sensing. Physical sensors may be replaced with models or virtual sensors, also known as inferential sensors. The present approach may be a framework for designing inferential sensors in automotive subsystems. The framework may incorporate preparing a model for an observed subsystem, populating a real-time template with data, and running an inferential sensor periodically together with a model in real-time to obtain estimated variables. Once implemented, the framework may be reused for virtually any automotive subsystem without needing significant software code changes.

Growing community of inventors

Pacov, Czechia

Jaroslav Pekar