Optimizing Methanol Blending Performance of Electronically Controlled Diesel Engines through Fuzzy Analysis

This paper presents a comprehensive optimization approach for enhancing the performance of methanol/diesel Exhaust Gas Recirculation (EGR) engine. Initially, hybrid fuel engine combustion chamber model was developed using AVL-FIRE software, and simulated results were compared with values obtained from bench tests. An orthogonal experimental design employed to optimize five key factors, namely methanol blending ratio, EGR rate, injection advance angle, intake pressure, temperature. Evaluation indexes established, indicated power NO emissions assigned weights 0.35 0.65, respectively. The optimal parameter combinations determined as follows: ratio (a1=20%), rate (a2=12.5%), angle (a3=16.6°CA), temperature (a4 = 315.15 K), pressure (a5=0.173 MPa). optimized configuration reached 47.8 kW, slightly lower than original 55 while emission mass fraction decreased 1.9×10 -4 %, representing significant reduction 77.6% value 8.5×10 %. methodology demonstrates effective without compromising in engines.