Data from: Optimized modelling and application of exhaust gas recirculation performance evaluation of turbocharged diesel engine

Aimed at the problem of turbocharged diesel engine EGR (exhaust gas recirculation) performance evaluation and optimal EGR rate determination, especially in some cases with poor data because of the limit of conditions, an optimized multi-objective grey decision method based on grey theory and entropy weight is proposed. The internal combustion pressure ,fuel consumption rate, NOX ,CO and smoke degree were selected as the decision target, and the initial decision-making model was established based on traditional grey situation theory. According to the characteristics and optimization requirements of EGR, The optimal compromise between combustion and emission performance is proposed to transform into the decision-making target weight problem , then a subjective weight optimization method based on expert scoring and grey relational analysis is proposed. In addition, the entropy weight method was used to solve the subjective and objective weight vector and the optimized multi-objective grey situation decision making model was established, which can not weaken the human error of subjective empowerment, but also fully explore the intrinsic objective relationship of the evaluation index parameters. At last, an optimization simulation platform for EGR performance evaluation based MATLB/GUIDE is designed and established. The results show that the optimization simulation platform can effectively improve the efficiency of simulation calculation, which is more convenient for practical engineering applications; the optimized method can successfully solve the EGR performance evaluation and optimal EGR rate determination under different working conditions, the decision result is reasonable and consistent with the prevailing principle of the EGR determining, which provide a new research ideas for EGR performance optimization.

针对涡轮增压柴油机废气再循环（EGR, Exhaust Gas Recirculation）性能评估与最优EGR率确定问题，尤其针对受工况限制导致数据质量不佳的场景，本文提出一种基于灰色理论（Grey Theory）与熵权法（Entropy Weight Method）的优化多目标灰色决策方法。选取缸内燃烧压力、燃油消耗率、氮氧化物（NOₓ）、一氧化碳（CO）及排烟度作为决策目标，基于传统灰色局势理论构建初始决策模型。结合EGR的特性与优化需求，将燃烧与排放性能间的最优折中转化为决策目标权重问题，随后提出一种基于专家评分与灰色关联分析（Grey Relational Analysis）的主观权重优化方法。此外，结合熵权法求解主客观权重向量，构建优化后的多目标灰色局势决策模型，该模型既可削弱主观赋权带来的人为误差，又能充分挖掘评估指标参数间的内在客观关联。最终设计并搭建了基于MATLAB/GUIDE的EGR性能评估优化仿真平台。结果表明，该优化仿真平台可有效提升仿真计算效率，更便于实际工程应用；所提优化方法可成功解决不同工况下的EGR性能评估与最优EGR率确定问题，决策结果合理且符合EGR参数确定的通用准则，为EGR性能优化提供了全新的研究思路。