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- Title
A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems.
- Authors
Yanzi Wang; Weida Wang; Yulong Zhao; Lei Yang; Wenjun Chen
- Abstract
Over the last few years; issues regarding the use of hybrid energy storage systems (HESSs) in hybrid electric vehicles have been highlighted by the industry and in academic fields. This paper proposes a fuzzy-logic power management strategy based on Markov random prediction for an active parallel battery-UC HESS. The proposed power management strategy; the inputs for which are the vehicle speed; the current electric power demand and the predicted electric power demand; is used to distribute the electrical power between the battery bank and the UC bank. In this way; the battery bank power is limited to a certain range; and the peak and average charge/discharge power of the battery bank and overall loss incurred by the whole HESS are also reduced. Simulations and scaled-down experimental platforms are constructed to verify the proposed power management strategy. The simulations and experimental results demonstrate the advantages; feasibility and effectiveness of the fuzzy-logic power management strategy based on Markov random prediction.
- Subjects
ENERGY storage equipment; SUPERCAPACITORS; HYBRID electric vehicle research; FUZZY logic; MARKOV random fields
- Publication
Energies (19961073), 2016, Vol 9, Issue 1, p25
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en9010025