An Optimized Method for Turbocharged Diesel Engine EGR Performance Evaluation

• Published in: Advanced Hybrid Information Processing Vol. 219; pp. 38 - 49
• Main Authors: Zu, Xiang-huan, Yang, Chuan-lei, Wang, He-chun, Wang, Yin-yan
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2018; Springer International Publishing
• Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Subjects: Data mining; Diesel engine; Exhaust gas recirculation; Optimized model; Performance evaluation
• ISBN: 3319733168; 9783319733166
• ISSN: 1867-8211; 1867-822X
• DOI: 10.1007/978-3-319-73317-3_6

The purpose of this study is to propose a multi-objective decision making optimization method based on subjective and objective empowerment optimization. This paper intend to achieve the evaluation of turbocharged diesel engine EGR performance. First, the main diesel engine EGR parameters were selected as decision target and corresponding experimental data are used as effect sample matrix to establish the initial multi-objective-making model. The characteristics and optimization requirements of turbocharged diesel engine EGR are considered. Secondly, the expert scoring, grey correlation analysis are used to solve the optimized weight vector. Finally, the optimized decision-making model was established to explore the intrinsic objective relationship of EGR evaluation index parameters and give the best evaluation and optimal decision. The results show that the optimized method can successfully solve the turbocharged diesel engine EGR performance evaluation and optimal decision problem, which can provides theoretical support and reference for the further optimization of EGR.