Earticle

초록

영어

A fuzzy energy management strategy was designed for the single-axle parallel hybrid electric vehicles, and then the quantitative factor of the fuzzy logic controller was optimized by the quantum PSO algorithm under the Matlab platform based on the equivalent fuel economy. Then a comparison test about the energy management before and after the optimization was carried out based on the secondary development of Advisor which proves that the energy management strategy optimized by the quantum PSO algorithm can improve the SOC of the battery pack by 18% when the VAIL2NREL cycle finished while the power of the vehicles nearly remain the same. What’s more, the optimized strategy can make the engine and the motor works in the high efficient area for most of the time which can improve the recycling rate of the energy and reduce the equivalent fuel consumption effectively.

목차

Abstract
 1. Introduction
 2. The Transmission Structure and Work Mode Analysis of the Parallel Hybrid Tractor
 3. The Fuzzy Logic Energy Management Strategy
 4. A Quantum Particle Swarm Optimization Algorithm
  4.1 Particle Swarm Optimization Algorithm
  4.2 Quantum Particle Swarm Optimization
  4.3 Algorithm Flow
 5. Simulation Experiments and the Analysis
 6. Conclusions
 References

키워드

저자

• Yang Lihao [ Xi’an Research Institute of Hi-Tech, Xi’an, 710025, P. R. China, Construction Engineering Research Institute, Xi'an 710032, P. R. China ]
• Wang Youjun [ Xi’an Research Institute of Hi-Tech, Xi’an, 710025, P. R. China ]
• Zhu Congmin [ Construction Engineering Research Institute, Xi'an 710032, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605