Studies of modeling with neural network for engine in electric drive

被引：0

作者：

Yan, NM ^{[1
]}

Ma, XJ ^{[1
]}

Liao, ZL ^{[1
]}

Li, H ^{[1
]}

机构：

[1] Acad Armored Force Engn, Dept Control Engn, Beijing, Peoples R China

来源：

ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings | 2005年

关键词：

neural network; engine; electric; drive modeling;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Electric drive is widely assumed to be the development direction of next-generation combat vehicles. However, the working fashion and control method of engine in electric drive is very different from those in mechanical transmission. To make it easy to design the control strategy and control method for engine, this paper built the simulation model and studied the optimum fuel consumption characteristics of an engine in electric drive with the infinite approaching ability of neural network. What was done in this paper was applied to a simulation plat that was established for electric drive in armored tracked vehicle. Simulation results proved that models built with neural network have high precision and run efficiency.

引用

页码：1076 / 1079

页数：4

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