The Possibility of Applying Neural Networks to Influence Vehicle Energy Consumption by Eco Driving

被引：1

作者：

Milesich, Tomas ^{[1
]}

Bucha, Jozef ^{[1
]}

Gulan, Ladislav ^{[1
]}

Danko, Jan ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Fac Mech Engn, Inst Transport Technol & Engn Design, Bratislava, Slovakia

来源：

MECHATRONICS 2017: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES | 2018年 / 644卷

关键词：

Eco-driving; Neural networks; CAN-bus; GeoTIFF;

D O I：

10.1007/978-3-319-65960-2_46

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the possibility of creating a vehicle model using a hierarchy of neural networks. Based on this model, it is possible to build an optimization cycle that looks for parameters which are influencing the driving of vehicles along given path. The given path must include a driving through the town, out of town and along the highway section, so the test track contains the greatest number of driving modes. Data for neural network are obtained from the CAN bus and the GPS sensor. Based on the built model and given route it is looking for such route drive, where it eventually came that the development of fuel consumption is lower than in unoptimized drive.

引用

页码：372 / 379

页数：8

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