Semi-automatically optimized calibration of internal combustion engines

TL;DR

This paper presents a semi-automatic calibration method for internal combustion engines that optimizes actuator settings to improve performance and emissions through adaptive measurement, data cleaning, and constrained optimization.

Contribution

It introduces a novel semi-automatic calibration approach combining adaptive measurements, data cleaning, and discretized optimization considering actuator-behavior dependencies and emission limits.

Findings

Effective calibration demonstrated on practical engine examples

Improved engine performance and emission compliance

Reduction in calibration time and effort

Abstract

Modern combustion engines incorporate a number of actuators and sensors that can be used to control and optimize the performance and emissions. We describe a semi-automatic method to simultaneously measure and calibrate the actuator settings and the resulting behavior of the engine. The method includes an adaptive process for refining the measurements, a data cleaning step, and an optimization procedure. The optimization works in a discretized space and incorporates the conditions to describe the dependence between the actuators and the engine behavior as well as emission bounds. We demonstrate our method on practical examples.