Sensitivity analysis of a mean-value exergy-based internal combustion engine model

TL;DR

This paper performs a sensitivity analysis of a mean-value exergy-based internal combustion engine model to understand how driving conditions and environment influence engine efficiency, aiding in optimizing hybrid vehicle performance.

Contribution

It introduces a sensitivity analysis framework for an exergy-based engine model considering various operational and environmental factors, which was not previously explored.

Findings

Driving cycle significantly affects engine exergy efficiency.

Ambient temperature impacts the exergetic performance of the engine.

Exhaust gas recirculation rate influences system inefficiency.

Abstract

In this work, we conduct a sensitivity analysis of the mean-value internal combustion engine exergy-based model, recently developed by the authors, with respect to different driving cycles, ambient temperatures, and exhaust gas recirculation rates. Such an analysis allows to assess how driving conditions and environment affect the exergetic behavior of the engine, providing insights on the system's inefficiency. Specifically, the work is carried out for a military series hybrid electric vehicle.