Iterative Target Intake Manifold Pressure Determination

Instead of inverting the gas exchange model to directly calculate target intake manifold pressure (which causes inaccuracies), the patent inverts the approach by using an iterative method that starts with a guessed pressure value, calculates the resulting cylinder charge, compares it with the desired charge, and adjusts the pressure guess accordingly. This reverse iterative approach eliminates the inaccuracies of direct model inversion while maintaining computational feasibility.

The patent implements a feedback mechanism where the calculated cylinder charge from the gas exchange model is compared with the desired cylinder charge, and this comparison feeds back into adjusting the intake manifold pressure guess for the next iteration. This closed-loop feedback ensures continuous refinement of the pressure value until the desired accuracy is achieved, resolving both the accuracy and response time issues.

The patent transforms the static analytical inversion problem into a dynamic iterative process. For Miller engines with non-invertible models, the system dynamically adjusts the intake manifold pressure guess through multiple iterations, each time calculating the cylinder charge and comparing it with the desired value. This dynamic approach enables the use of accurate non-invertible models while providing a computational path to determine the target pressure.

The patent introduces an intermediary iterative calculation process that mediates between the non-invertible gas exchange model and the target pressure determination. Instead of directly inverting the complex Miller engine model, the system uses intermediate steps of guessing pressure, calculating charge, comparing with desired charge, and adjusting the guess, thereby making the determination of target pressure feasible while maintaining model accuracy.