A CAN Topology Optimization of Pure Electric Vechicle

Chen, Xi; Wu, Jian; Zhao, Yang; Bai , Hong Tao

doi:10.4028/www.scientific.net/AMR.791-793.1819

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HomeAdvanced Materials ResearchChemical and Mechanical Engineering, Information...A CAN Topology Optimization of Pure Electric...

A CAN Topology Optimization of Pure Electric Vechicle

Abstract:

In the design of CAN network system, as CAN bus topology will affect network performance and cost, it is important to optimize the network topology. This paper analyzes the CAN busload based on CAN protocol, calculates the upper limit of transmission message frames in a single CAN bus. As the amount of information on the bus is increasing, a single CAN bus cannot meet the communication requirements, we put forward dividing the network into multiple homogeneous segments via multi-objective optimization method, developing a genetic algorithm strategy and solving the problem in a MATLAB platform. Finally utilize the method to design a pure electric vehicle network topology.

Info:

Periodical:

Advanced Materials Research (Volumes 791-793)

Main Theme:

Chemical and Mechanical Engineering, Information Technologies

Edited by:

B. Li and H.M. Zhang

Pages:

1819-1823

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1819

Citation:

X. Chen et al., "A CAN Topology Optimization of Pure Electric Vechicle", Advanced Materials Research, Vols. 791-793, pp. 1819-1823, 2013

Online since:

September 2013

Authors:

Xi Chen, Jian Wu, Yang Zhao, Hong Tao Bai

Keywords:

Busload, CAN Bus, Genetic Algorithm (GA), Network Topology, Optimization

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$41.00

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References

[1] Chen Guolong, Computer Communication network topology Based on Genetic Algorithm, Computer Science, vol. 29, Nov. 2002, pp.141-143.

[2] Robert Bosch GmbH, BOSCH CAN Specification 2. 0, Robert Bosch GmbH, Stuttgart, (1991).

[3] Hirain technologies, Vector products datasheet, Jan. (2003).

[4] Li Yabo, Zhang Junzhi, An Analysis on Real-time Capacity of CAN networks for Hybird Electric Vehicle, Automotive Engineering, vol. 27, Jan. 2005, pp.16-19.

[5] Qu Fengli, Li Feng, An Optimization Method for CAN Bus Topology Using Network Division, Modular Machine Tool & Automatic Manufacturing Technique, Sept2008, pp: 1-5.

[6] Lu Jun, Best Practices and Optimal Control, Harbin Institute of Technology Press, Apr. (2008).

[7] Zhou Ming, Sun Shudong, Principle and Application of Genetic Algorithms, National Defense Industry Press, (1999).

[8] Shi Feng, MATLAB Intelligent Algorithm 30 case studies, Beijing University of Aeronautics and Astronautics Press, Jul. (2011).

Paper TitlePages

The Implementation of a High Speed Ethernet Traffic Generator Based on FPGA

Authors: Jie Wu, Jie Zhang, Zhao Han, Lie Feng Liu, Juan Dong

Abstract: High speed Ethernet traffic is important for some system tests which use TCP/IP as the data communication. A software way to do this job brings benefits on robust, but due to the limitation of CPU, it can not give full line speed of Ethernet frame, especially where short frame is needed. An implementation of an embedded high speed network traffic generator which is based on FPGA is introduced. It can be used to generate arbitrary length of PRBS Ethernet frame. Due to the high speed process ability of FPGA, even when the frame length is as short as 64 bytes, the speed is almost the full line speed as the theoretical value, which is 10 times fast than software method.

7530

The Optimization Method to Transfer Bus Routes for Rail Transit Terminal Station

Authors: Sheng Zhang, Wu Sheng Liu

Abstract: The optimization model is framed with a goal to minimize overall consumption of travel time for passengers. A variety of constrains are considered, including time, capacity, stop number, profit and so on. According to the features of the model, the hill-climbing algorithm is adopted to obtain the initial solution, which reduces the time of optimization. Meanwhile, direct order encoding method, namely node method, is introduced for encoding, construct a Hybrid Genetic Algorithm for the solution. The results show that adapter value is more steady and the model result is preferable when the variation rate is increased while the number of iteration is decreased.

1869

Design of CAN Communication Network with Distributed Control Systems for Pure Electric Vehicle

Authors: Xi Chen, Jian Wu, Yang Zhao, Hong Tao Bai

Abstract: Controller area network (CAN) is one of the popular networks with the international standard, and adopted mostly on the vehicle. SAE J1939 is designed to allow electronic devices from different vendors to communicate with each other through a standard architecture. CAN communication length have some relationship with CAN bus rate, which may influence the rate choice and network topology. We design a CAN network with distributed control systems for a pure electric vehicle. The identification bit implementation of data for vehicle controllers is present in accordance with J1939 protocol. The vehicle network topology is considered based on controlling functions and CAN bus harness arrangement. The communication process for them is given based on CANoe platform and finally tested in real electric vehicle environment.

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