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author:

Lin, X. (Lin, X..) [1] | Zhai, L. (Zhai, L..) [2] | Lin, H. (Lin, H..) [3]

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Scopus

Abstract:

To improve fuel economy of a novel series-parallel hybrid electric bus (SPHEB) further, the control rule of battery power distribution is derived from the offline optimisation algorithm based on Pontryagin's minimum principle, internal relationship between the equivalence fuel factor λ and trend of state of charge (SOC) with different driving condition is established and calculation model of SOC is formed. On the basis of the above, according to the feature of the city bus driving cycle, the algorithm of adaptive fuzzy sliding-mode control (AFSMC) is introduced to periodically update the equivalence fuel factor, and then the power-balancing adaptive control strategy is developed. To validate the proposed strategy rationality, the hardware in-Theloop integrated with bench test is applied to compare the proposed control strategy with the previous optimal control strategy. The results indicate that the efficiency of SPHEB system is improved by the proposed control strategy. ©2016 Inderscience Enterprises Ltd.

Keyword:

Adaptive control algorithm; Battery power distribution; City bus; Energy management; Fuel economy; Fuzzy slidingmode control; Hardware in-The-loop; Hybrid electric powertrain; PBACS; Pontryagin's minimum principle; Power-balancing adaptive control strategy; The equivalence fuel factor

Community:

  • [ 1 ] [Lin, X.]Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350000, China
  • [ 2 ] [Zhai, L.]Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350000, China
  • [ 3 ] [Lin, H.]Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350000, China

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Source :

International Journal of Electric and Hybrid Vehicles

ISSN: 1751-4088

Year: 2016

Issue: 3

Volume: 8

Page: 195-212

0 . 4 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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