吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 516-525.doi: 10.13229/j.cnki.jdxbgxb201502027

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Fuzzy logic-based optimal control method for energy management of pure electric vehicle

DONG Bing1,TIAN Yan-tao1,ZHOU Chang-jiu1,2   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022,China;
    2.Center of Robot and Control Intelligent, Singapore Polytechnic, Singapore 569830, Singapore
  • Received:2014-02-08 Online:2015-04-01 Published:2015-04-01

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Abstract:

This paper studies the energy management of pure electric vehicles. By analyzing the structure of the power battery system and the components and parts of high voltage system, the power flow relationship of the energy management system is confirmed. Aiming at the controlling strategy of common energy management system, the power distribution coefficient of the system is introduced based on the characteristics of the vehicle and battery. An optimal control method based on fuzzy controller is designed, analyzed and validated by simulation. Finally, comparison experiments of the control strategy are carried out on a drum test bench. Results show that this optimal control method can reduce the energy consumption ratio effectively, and under the condition that the total energy of the battery is steady, the vehicle can keep ideal economic performance and ideal dynamic property.

Key words: automatic control technology, energy management system, fuzzy controller, energy consumption ratio

CLC Number: 

  • TP273
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