Yang Chuan-Lei, Zu Xiang-Huan, Wang He-Chun, Wang Yin-Yan
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, People's Republic of China.
R Soc Open Sci. 2018 Jun 27;5(6):172112. doi: 10.1098/rsos.172112. eCollection 2018 Jun.
Aimed at the problem of exhaust gas recirculation (EGR) performance evaluation and optimal EGR rate determination of turbocharged diesel engines, an optimized decision-making method, based on grey theory and entropy weight, was proposed. The internal combustion pressure, fuel consumption rate, NO, CO and smoke were selected as the decision-making targets and the initial decision-making model was established based on the traditional grey decision-making theory. According to the characteristics and optimization requirements of EGR, the optimal compromise between combustion and emission performance is proposed to transform into decision-making target weighting problem, then an optimized subjective weighting method based on expert scoring and grey relational analysis is proposed. Finally, the entropy weight method was used to solve the objective weight and the optimized multi-objective grey decision-making model was established, which can not only weaken the human error of subjective empowerment, but also fully explore the intrinsic relationship of the evaluation indexes. At last, an optimization simulation platform for EGR performance evaluation based on MATLB/GUIDE was 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 realize EGR performance evaluation and optimal EGR rate determination under different working conditions. The decision-making result was consistent with the present EGR control strategies, which provide a new research idea for EGR performance optimization.
针对涡轮增压柴油机废气再循环（EGR）性能评估及最佳EGR率确定问题，提出了一种基于灰色理论和熵权的优化决策方法。选取燃烧压力、燃油消耗率、NO、CO和烟度作为决策目标，基于传统灰色决策理论建立初始决策模型。根据EGR的特点和优化要求，提出将燃烧与排放性能的最佳折衷转化为决策目标加权问题，进而提出一种基于专家评分和灰色关联分析的优化主观加权方法。最后，采用熵权法求解客观权重，建立了优化的多目标灰色决策模型，该模型不仅能削弱主观赋权的人为误差，还能充分挖掘评估指标的内在关系。最后，设计并建立了基于MATLB/GUIDE的EGR性能评估优化仿真平台。结果表明，该优化仿真平台能有效提高仿真计算效率，更便于实际工程应用。该优化方法能成功实现不同工况下的EGR性能评估及最佳EGR率确定。决策结果与现行EGR控制策略一致，为EGR性能优化提供了新的研究思路。
