Cummins Inc.

Kartavya Neema

Shashank Tamaskar

Govindarajan Kothandaraman

Paul V Moonjelly

Gayatri Adi

Chinmay Rao

David J Stroh

Anthony Kyle Perfetto

Vikas Narang

Karla Carale Stricker Fuhs

Carlos Alcides Lana

Rohit A Zope

Disclosed herein are devices, systems, and methods relating to balancing engine performance and engine emissions of an engine in a vehicle in real time. In an example, a method can include sensing operation data indicative of an engine response during a current engine operation. The current ending operation can include a supervisory control of engine emissions. The method can include evaluating a response model to determine engine performance deviation data corresponding to an expected baseline engine performance and an expected current engine performance at the current engine operation. This evaluation can be performed via controller. This evaluation can be based on the operation data. The method can include generating and setting a performance constraint in response to evaluating the response model. The performance constraint can be set such that the engine performance deviation data is maintained at a controls objective that inhibits deterioration of the engine performance over time.

Vehicle emissions management

Systems and methods for controlling a performance variable of an engine system are provided. An apparatus includes a response model circuit structured to apply a constraint to a response model that represents a relationship regarding a manipulated variable or a relationship between the performance variable and the manipulated variable. The apparatus further includes an optimization circuit structured to determine a target for the manipulated variable via the response model such that the target of the manipulated variable satisfies the constraint of the response model. The performance variable is indicative of performance of operation of the engine system and the manipulated variable is capable of affecting the performance variable. Operation of the engine system is adjusted based upon the target of the manipulated variable by controlling at least one of a fuel system or an air handling system of the engine system.

Systems and methods for optimizing engine-aftertreatment system operation

One embodiment is a system comprising an engine including a dedicated EGR cylinder configured to provide EGR to the engine via an EGR loop, a non-dedicated cylinder, a plurality of injectors structured to inject fuel into the dedicated EGR cylinder and the non-dedicated EGR cylinder, and an electronic control system operatively coupled with the fueling system and the ignition system. The electronic control system is configured to evaluate engine operating parameters including an engine load and an engine speed. The electronic control system is responsive to variation of the engine operating parameters to control operation of the fueling system to vary combustion in the at least one dedicated cylinder between rich of stoichiometric and stoichiometric.

Techniques for improving fuel economy in dedicated EGR engines

One embodiment is a system comprising an engine including a dedicated EGR cylinder configured to provide EGR to the engine via an EGR loop, a non-dedicated cylinder, a plurality of injectors, an ignition system including a plurality of spark plugs, an intake throttle, and an electronic control system. The electronic control system is configured to control combustion during transient operation of the engine by determining one or more combustion control parameters compensating for variation of one or more of inert matter, unburned air and unburned fuel in EGR output by the dedicated EGR cylinder during transient operation of the engine, and an effect of the EGR loop on inert matter, unburned air and unburned fuel provided to the plurality of cylinders, and controlling operation of at least one of the throttle, the ignition system and the plurality of injectors in response to at least one of the one or more combustion control parameters.

Techniques for transient estimation and compensation of control parameters for dedicated EGR engines

Systems and methods for optimizing a performance variable for an engine system. The method includes applying constraints of manipulated variables as well as performance variables, mechanical constraints and other engine responses to response models. The response models each represent a piecewise linear relationship between the manipulated variables and other engine responses including performance variables and constraints. The method also comprises determining an optimal target for each of the manipulated variables by using a quasi-simplex optimization process on the response models. The optimal targets of the manipulated variables correspond to an optimal value of the performance variable.

An engine system includes an air handling control unit which controls a plurality of air handling actuators responsible for maintaining flow of air and exhaust gas within the engine system. The engine system has a plurality of sensors whose sensor signals at least partially define a current state of the engine system. The air handling control unit includes a controller which controls the air handling actuators of the engine system as well as a processing unit coupled to the sensors and the controller. The processing unit includes an agent which learns a policy function that is trained to process the current state, determines a control signal to send to the controller by using the policy function after receiving the current state as an input, and outputs the control signal to the controller. Then, the agent receives a next state and a reward value from the processing unit and updates the policy function using a policy evaluation algorithm and a policy improvement algorithm based on the received reward value. Subsequently, the controller controls the air handling actuators in response to receiving the control signal. In one aspect of the embodiment, the control signal is a command signal for the air handling actuators.

Deep reinforcement learning for air handling control

An engine system includes an air handling and fuel system whose states are managed by a reference managing unit. The engine system has a plurality of sensors whose sensor signals at least partially define a current state of the engine system. The reference managing unit includes a controller which controls the air handling and fuel system of the engine system as well as a processing unit coupled to the sensors and the controller. The processing unit includes an agent which learns a policy function that is trained to process the current state, determines air handling references and fuel system references by using the policy function after receiving the current state as an input, and outputs the air handling references and fuel system references to the controller. Then, the agent receives a next state and a reward value from the processing unit and updates the policy function using a policy evaluation algorithm and a policy improvement algorithm based on the received reward value. Subsequently, the controller controls the air handling and fuel system of the engine in response to receiving the air handling references and the fuel system references.

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Columbus, IN, United States of America

Kartavya Neema