Internal Combustion Engine Control Parameter Adjustment

The patent creates a virtual copy of the engine system through simulation models. Instead of using complex physical controllers and conducting extensive physical testing, the invention uses a virtual model that replicates engine behavior to determine setting parameters. This virtual copy allows for precise adjustment calculations without requiring complex physical controller hardware.

The patent replaces the mechanical/controller-based adjustment system with a computational approach. Instead of relying on PID controllers and characteristic diagrams that require physical testing infrastructure, the invention uses computer-based optimization algorithms that run simulations to determine optimal setting parameters, substituting physical control mechanisms with information processing.

The patent performs preliminary actions by creating and validating simulation models before actual engine testing. The virtual model is developed and tested in advance to establish accurate relationships between control parameters and setting parameters. This preliminary virtual validation eliminates the need for extensive subsequent physical testing, saving time and reducing engine wear.

The patent uses a virtual copy (simulation model) to perform all necessary verification and validation that would otherwise require physical test engines. The simulation model replicates engine behavior accurately, allowing for comprehensive parameter relationship verification without subjecting physical engines to extensive testing, thereby reducing time expenditure and wear.

The patent introduces dynamics by using iterative optimization algorithms that adaptively determine the combination of setting parameters. Instead of relying on static characteristic diagrams or complex pre-programmed control logic, the system dynamically calculates optimal parameter combinations based on current operating conditions and the virtual simulation model, simplifying the control structure while maintaining flexibility.

The patent implements feedback through the optimization algorithm that uses the virtual simulation model to evaluate different setting parameter combinations. The system receives feedback from the simulated engine response and iteratively adjusts the setting parameters to find the optimal combination, replacing complex open-loop control strategies with a simpler closed-loop optimization approach.