摘要
为探索某插电式混合动力汽车电控系统中发动机控制参数的标定规律,以寻求最佳控制参数组合,根据发动机标定参数对整车性能影响的理论分析,建立了基于改进的雷达图综合评价方法的评价指标。利用径向基神经网络建立了可信度较高的发动机标定参数与综合评价指标之间关系的近似模型,并结合多岛遗传算法得到了发动机工作区域最优参数组合。结果表明,采用所提出的方法,整车综合评价指标提高了16.75%。
In order to explore the law of engine control parameter calibration in the electronically controlled system of a PHEV for finding the optimal combination of control parameters, evaluation indicator is established based on the improved radar chart comprehensive evaluation method and the theoretical analysis on the effects of en-gine calibration parameters on vehicle performance. An approximation model with high credibility for the relationship between engine calibration parameters and overall evaluation indicator is also set up by using RBF neural network, and combined with multi-island genetic algorithm to obtain the optimum parameter combination in engine operation region. The results show that with the method proposed the overall evaluation indicator of vehicle rises by 16. 75%.
出处
《汽车工程》
EI
CSCD
北大核心
2016年第8期915-921,共7页
Automotive Engineering
基金
国家863计划(W65-BK-2012-0007)资助
