@inproceedings{9ddfd4502e7e400bb02b3af3118b20c0,
title = "An Improved Fuzzy Energy Management Strategy Based-On Particle Swarm Optimal Algorithm for Electric Vehicle",
abstract = "This paper proposes an improved fuzzy energy management strategy based on particle swarm optimal algorithm for electric vehicle with dual-battery storage system. The proposed method adds optimization criterions on the basis of fuzzy rules to maximize the charge-discharge efficiency and achieve optimal power allocation. Simulation results based on Matlab / Simulink illustrated that the improved fuzzy energy management could increase the charge-discharge efficiency and mileage, effectively reduce power output of the main-battery in the case of the low remaining capacity, and extend the lifetime of the main battery to a certain extent.",
keywords = "Electric vehicle, dual-battery storage system, energy management, fuzzy control, particle swarm optimal algorithm",
author = "Yadong Wei and Hongwei Ma and Xiaozhong Liao and Tao Huang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE Vehicle Power and Propulsion Conference, VPPC 2016 ; Conference date: 17-10-2016 Through 20-10-2016",
year = "2016",
month = dec,
day = "19",
doi = "10.1109/VPPC.2016.7791608",
language = "English",
series = "2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Vehicle Power and Propulsion Conference, VPPC 2016 - Proceedings",
address = "United States",
}