Design of an Information Integration Control Network for Hybrid Electric Trucks

Article Preview

Abstract:

In view of the requirements on multi-target information interaction and implementing complicated control strategies among different ECUs in hybrid electric trucks, an information integration control network based on CAN bus is proposed. A HCS12 dual-core processor MC9S12XDG128 is adopted to design an information integration module for sensor signal acquisition and data transmission in the network. Application layer protocol is defined to optimize the message transmission mechanism. Meanwhile, Rate Monotonic Analysis (RMA) method is adopted to analyze bus load rate and real-time performance of the network. Bench test results have shown that the designed information integration control network for hybrid electric trucks owns good real-time performance and is reliable to implement communication and control tasks with low bus load rate.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2572-2575

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] XU Jun, LI Gang-yan. An Information Acquisition Method of City Bus Integrated Control Network. Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering, 2009, pp.722-725.

DOI: 10.1109/csie.2009.860

Google Scholar

[2] Xu Liangfei, Hua Jianfeng, Li Xiangjun. Distributed Control System Based on CAN Bus for Fuel Cell/Battery Hybrid Vehicle. IEEE International Symposium on Industrial Electronics, 2009, pp.183-188.

DOI: 10.1109/isie.2009.5213142

Google Scholar

[3] Moreno J, Ortúzar ME, Dixon JW. Energy-Management System for a Hybrid Electric Vehicle Using Ultracapacitors and Neural Networks. IEEE Transactions on Industrial Electronics, 2006, 53(2), pp.614-623.

DOI: 10.1109/tie.2006.870880

Google Scholar

[4] Yao, Kai Zheng, Tielong Shen, et al. Modeling and Control of Regenerative Braking System in Heavy Duty Hybrid Electric Vehicles. SAE paper, 2008-01-1569.

DOI: 10.4271/2008-01-1569

Google Scholar

[5] Haisong Jin, Gangyan Li and YeQiong Song. Research on Car Information Central Control System and Its Rules. Proceedings of the 5th World Congress on Intelligent Control and Automation, Hangzhou. P.R. China, 2004, pp.3369-3372.

DOI: 10.1109/wcica.2004.1343166

Google Scholar

[6] Sergey Edward Lyshevski. Diesel-Elecric Divetrains for Hybird-Electric Vehicles: New Challenging Problems in Multivariable Analysis and Control. Proceedings of the 1999 IEEE International Conference on Control Applications, 1999, pp.840-845.

DOI: 10.1109/cca.1999.807775

Google Scholar