A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems

Yanzi Wang, Weida Wang, Yulong Zhao, Lei Yang and Wenjun Chen
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Yanzi Wang: National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China
Weida Wang: National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China
Yulong Zhao: National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China
Lei Yang: Transmission System Section, Powertrain Department, Shanghai Automotive Industry Corporation Motor Commercial Vehicle Technical Center, Shanghai 200432, China
Wenjun Chen: The Forth Branch Company, Inner Mongolia First Machinery Group Co. Ltd., Baotou 014032, China

Energies, 2016, vol. 9, issue 1, 1-20

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.

Keywords: hybrid energy storage system (HESS); battery; ultracapacitor (UC); fuzzy logic; Markov random prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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