用于混合动力发动机的技术选择及其参数决策模型研究
Technology Selection and Parameter Decision model for Hybrid Engine
本文中建立了一个在热效率、爆震因子以及排放多指标约束条件下，以费效比最低为优化目标的综合决策模型，其可以快速地为混合动力发动机决策出一系列既可能满足约束条件，同时费效比又偏低的技术及参数组合方案。此模型利用DOE和NSGA-Ⅱ遗传优化算法，可以快速决策出最优的技术方案及其参数。研究表明，利用该模型进行优化计算，相比调用GT-Power求解器计算，同样2000次优化计算的总用时可以从3天缩短至3分钟，大大减少运算时间，且模型的准确度较好，热效率的预测误差可以控制在1%以内，爆震因子的估计误差也可以控制在10%以内。
This paper aims to develop a comprehensive Decision model under the constraint conditions of thermal efficiency, knock factor and emissions, with the lowest cost-effectiveness ratio as the optimization objective. It can quickly decide a series of technical and parameter combination schemes that may meet the constraint conditions and have low cost-effectiveness ratio. This model utilizes DOE and NSGA - II genetic optimization algorithms to quickly determine the optimal technical solution and its parameters. Research has shown that using this model for optimization calculations can shorten the total time of the same 2000 optimization calculations from 3 days to 3 minutes compared to calling the GT Power solver, greatly reducing the computational time. The accuracy of the model is good, and the prediction error of thermal efficiency can be controlled within 1%, and the estimation error of detonation factor can also be controlled within 10%.
王楠;吴晗;
北京理工大学 机械与车辆工程学院,北京 100000##北京电子科技职业学院汽车工程学院,北京 100000;北京理工大学 机械与车辆工程学院,北京 100000;
TK402
hybrid engine cost efficiency ratio multiple indicators decision model
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