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Energies 2016, 9(1), 25; doi:10.3390/en9010025

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

1
National Key Laboratory of Vehicle Transmission, Beijing Institute of Technology, Beijing 100081, China
2
Transmission System Section, Powertrain Department, Shanghai Automotive Industry Corporation Motor Commercial Vehicle Technical Center, Shanghai 200432, China
3
The Forth Branch Company, Inner Mongolia First Machinery Group Co. Ltd., Baotou 014032, China
*
Author to whom correspondence should be addressed.
Academic Editor: Sheng S. Zhang
Received: 16 November 2015 / Revised: 23 December 2015 / Accepted: 25 December 2015 / Published: 4 January 2016
(This article belongs to the Special Issue Electrochemical Energy Storage - 2015)

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. View Full-Text
Keywords: hybrid energy storage system (HESS); battery; ultracapacitor (UC); fuzzy logic; Markov random prediction hybrid energy storage system (HESS); battery; ultracapacitor (UC); fuzzy logic; Markov random prediction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, Y.; Wang, W.; Zhao, Y.; Yang, L.; Chen, W. A Fuzzy-Logic Power Management Strategy Based on Markov Random Prediction for Hybrid Energy Storage Systems. Energies 2016, 9, 25.

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