US 12,723,551 B2Granted

Control device and method for operating an internal combustion engine using at least one temporal specification parameter trajectory

AssigneeRolls-Royce Solutions GmbH

InventorKarsten Harder

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Abstract

A control device for an internal combustion engine includes: a primary control module and a secondary control module, the primary control module determining a setpoint specification for the secondary control module, the secondary control module being configured for determining a control specification for controlling an actuator depending on the setpoint specification, a determination module of the primary control module determining the setpoint specification via a model-based predictive control method taking into account a prediction horizon based on a physical time constant of the secondary control module, an operator interface of the primary control module receiving a temporal specification parameter trajectory for at least one specification parameter specified by an operator or an operator device, the determination module determining the setpoint specification depending on the temporal specification parameter trajectory—which has been received—via the model-based predictive control method by evaluating the temporal specification parameter trajectory for the prediction horizon.

Claims16

Dependent claims

A control device for an internal combustion engine, the control device comprising:

a primary control module;
and
at least one secondary control module,
the primary control module being configured for determining at least one setpoint specification for the at least one secondary control module,
the at least one secondary control module being configured for determining at least one control specification for controlling at least one actuator depending on the at least one setpoint specification,
the primary control module including a determination module and an operator interface,
the determination module being configured for determining the at least one setpoint specification by way of a model-based predictive control method taking into account a prediction horizon based on a physical time constant of the at least one secondary control module,
the operator interface being configured for receiving at least one temporal specification parameter trajectory for at least one specification parameter specified by an operator or an operator device,
the determination module being configured for determining the at least one setpoint specification depending on the at least one temporal specification parameter trajectory—which has been received—by way of the model-based predictive control method by evaluating the at least one temporal specification parameter trajectory for the prediction horizon, the determination module being further configured for conducting an optimization of the at least one setpoint specification by determining an extremum of a cost function, wherein the at least one temporal specification parameter trajectory—which has been received—enters into the cost function, and wherein the cost function is evaluated for the prediction horizon, wherein the cost function, expressed as I(u,x,z), is
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wherein t′is a current point in time, tp is the prediction horizon, i is a run index, Γi refers to a plurality of weighting factors, Ji(u(t),x(t),z) refers to a plurality of cost terms, u(t) is the at least one setpoint specification, x(t) refers to a plurality of measurands that co-determine respective ones of the cost term, z refers to a plurality of conditions that cannot be influenced and on which the cost term depends, and Ji,s(t) refers to a plurality of default values.

66 more elements

A method for operating an internal combustion engine, the method comprising the steps of:

providing at least one temporal specification parameter trajectory for at least one prediction horizon based on a physical time constant of at least one secondary control module for the internal combustion engine, an operator interface being configured for receiving the at least one temporal specification parameter trajectory for at least one specification parameter specified by an operator or an operator device;
determining, by a determination module, at least one setpoint specification for the at least one secondary control module depending on the at least one temporal specification parameter trajectory by way of a model-based predictive control method by evaluating the temporal specification parameter trajectory for the at least one prediction horizon, the determination module being further configured for conducting an optimization of the at least one setpoint specification by determining an extremum of a cost function, wherein the at least one temporal specification parameter trajectory—which has been received—enters into the cost function, and wherein the cost function is evaluated for the at least one prediction horizon, wherein the cost function, expressed as I(u,x,z), is
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⁡
(
u
,
x
,
z
)
=
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P
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∫
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)
,
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i
,
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wherein t′is a current point in time, tp is the at least one prediction horizon, i is a run index, Γi refers to a plurality of weighting factors, Ji(u(t),x(t),z) refers to a plurality of cost terms, u(t) is the at least one setpoint specification, x(t) refers to a plurality of measurands that co-determine respective ones of the cost term, z refers to a plurality of conditions that cannot be influenced and on which the cost term depends, and Ji,s(t) refers to a plurality of default values;
and
controlling an actuator by way of at least one control specification.

61 more elements

A power delivery system, comprising:

an internal combustion engine arrangement, which includes an internal combustion engine and a control device for the internal combustion engine, the control device including:
primary control module;
and
at least one secondary control module,
the primary control module being configured for determining at least one setpoint specification for the at least one secondary control module,
the at least one secondary control module being configured for determining at least one control specification for controlling at least one actuator depending on the at least one setpoint specification,
the primary control module including a determination module and an operator interface,
the determination module being configured for determining the at least one setpoint specification by way of a model-based predictive control method taking into account a prediction horizon based on a physical time constant of the at least one secondary control module,
the operator interface being configured for receiving at least one temporal specification parameter trajectory for at least one specification parameter specified by an operator or an operator device,
the determination module being configured for determining the at least one setpoint specification depending on the at least one temporal specification parameter trajectory—which has been received—by way of the model-based predictive control method by evaluating the at least one temporal specification parameter trajectory for the prediction horizon, the determination module being further configured for conducting an optimization of the at least one setpoint specification by determining an extremum of a cost function, wherein the at least one temporal specification parameter trajectory—which has been received—enters into the cost function, and wherein the cost function is evaluated for the prediction horizon, wherein the cost function, expressed as I(u,x,z), is
I
⁡
(
u
,
x
,
z
)
=
1
t
P
⁢
∫
t
′
t
′
+
t
P
∑
i
⁢
Γ
i
(
1
-
J
i
(
u
⁡
(
t
)
,
x
⁡
(
t
)
,
z
)
J
i
,
s
(
t
)
)
2
⁢
dt
,
wherein t′is a current point in time, tp is the prediction horizon, i is a run index, Γi refers to a plurality of weighting factors, Ji(u(t),x(t),z) refers to a plurality of cost terms, u(t) is the at least one setpoint specification, x(t) refers to a plurality of measurands that co-determine respective ones of the cost term, z refers to a plurality of conditions that cannot be influenced and on which the cost term depends, and Ji,s(t) refers to a plurality of default values.

67 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/769,608Filed 11 Jul 2024 · continuation
Priority: DE 10 2022 101 330.820 Jan 2022
Published: US 2024/0392733 A128 Nov 2024
Granted: 1 Sep 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification4 codes

F02D 41/1406
Characterised by the control or regulation method: with use of a optimisation method, e.g. iteration
F02D 2041/1412
Characterised by the control or regulation method: using a predictive controller
F02D 2041/1433
Characterised by the control or regulation method: using a model or simulation of the system
F02D
Controlling combustion engines