期刊论文

A Research on Ignition Advance Angle Combined Prediction Based on Neural Network and LSSVM

中文

小型内燃机与车辆技术

2095-8234

2017

46

6

14-17

10.3969/j.issn.1671-0630.2017.06.004

湖南省自然科学基金资助项目（2016JJ2003）.

本校为第一机构

针对传统插值法确定汽油机点火提前角精度较低的问题,提出了根据发动机负荷变化的可变最优加权方法,并建立了基于BP-LSSVM的汽油机可变最优加权点火提前角组合预测模型,通过点火提前角预测结果的对比与分析,验证了提出的基于神经网络和LSSVM的汽油机点火提前角组合预测模型的准确性和有效性.

Aiming at the problem that the precision of the ignition advance angle of the gasoline engine determined by the traditional interpolation method is low, a variable optimal weighting method is proposed according to the variation of engine load and a variable optimal weighted combination model of BP-LSSVM ignition advance angle is established. By comparing and analyzing the resuhs of other prediction model, the accuracy and validity of the BP-LSSVM ignition advance angle combined pred...