Abstract: Apparatus and methods for simulating a steady state condition for an unknown variable in a system are provided. One apparatus includes a processor and memory configured to store a model of the system, and first and second predictions modules. The model is configured to receive a plurality of fixed inputs representing known variables for the model, the first prediction module is configured to generate an open loop prediction for the unknown variable based on the fixed inputs, and the second prediction module is configured to generate a closed loop prediction for the unknown variable based on the open loop prediction. A method includes the steps of receiving a plurality of fixed inputs in the system model, generating an open loop prediction for the unknown variable based on the plurality of fixed inputs, and generating a closed loop prediction for the unknown variable based on the open loop prediction.

Abstract: A system and method of estimating the torque value of an engine are provided. The method includes generating corrected variable values from engine measured parameters and using a plurality of steady state tables that output corrected engine torque estimates based on various corrected variable values as inputs. In a preferred embodiment, the method also includes a phase compensation technique that converts each steady state table torque estimate into a dynamic torque estimate that closely matches the torque sensor measurements during both transient and steady state engine operations. In addition, also in a preferred embodiment, the method further includes a weighted averaging scheme that combines multiple torque estimates with weighting factors that are optimized based on the accuracy attributes of each torque estimate.

Abstract: A system and method of estimating the torque value of an engine are provided. The method includes generating corrected variable values from engine measured parameters and using a plurality of steady state tables that output corrected engine torque estimates based on various corrected variable values as inputs. In a preferred embodiment, the method also includes a phase compensation technique that converts each steady state table torque estimate into a dynamic torque estimate that closely matches the torque sensor measurements during both transient and steady state engine operations. In addition, also in a preferred embodiment, the method further includes a weighted averaging scheme that combines multiple torque estimates with weighting factors that are optimized based on the accuracy attributes of each torque estimate.

Abstract: Apparatus and methods for simulating a steady state condition for an unknown variable in a system are provided. One apparatus includes a processor and memory configured to store a model of the system, and first and second predictions modules. The model is configured to receive a plurality of fixed inputs representing known variables for the model, the first prediction module is configured to generate an open loop prediction for the unknown variable based on the fixed inputs, and the second prediction module is configured to generate a closed loop prediction for the unknown variable based on the open loop prediction. A method includes the steps of receiving a plurality of fixed inputs in the system model, generating an open loop prediction for the unknown variable based on the plurality of fixed inputs, and generating a closed loop prediction for the unknown variable based on the open loop prediction.