Pressure Sensor Data-Driven Optimization of Combustion Phase in a Diesel Engine

Abstract

In this article, a pressure sensor data-driven optimization by using extremum seeking (ES) technique is applied to optimize the combustion phase in a diesel engine. In particular, a cost function is constructed for the ES optimization with the in-cylinder maximum temperature T^maxn , which is an indication of NOx emission performance, and the thermal efficiency ηn as tradeoff considerations. The data-driven nature lies in the fact that T^maxn is estimated from the in-cylinder pressure measurement within each engine cycle by assuming the in-cylinder process to be a quasi-steady state process, which is, then, compensated with the model-free ES optimization. It is noted that the approach develo..