Open AccessBattery Equalization Strategy for LiMn2O4 Battery Based on Fuzzy Control
Author(s) -
Songming Zhang,
Xin Ma,
Danfeng Qiu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012068
Subject(s) - battery (electricity) , automotive engineering , economic shortage , equalization (audio) , matlab , computer science , power (physics) , fuzzy logic , process (computing) , energy (signal processing) , engineering , electrical engineering , artificial intelligence , physics , philosophy , channel (broadcasting) , statistics , mathematics , quantum mechanics , government (linguistics) , operating system , linguistics
With the pollution of the environment and the shortage of energy, new energy vehicles, especially electric vehicles (EVs), have received more and more attention. Power batteries are the most important part of new energy vehicles. Electric vehicles usually require hundreds or even thousands of batteries as the power source, but there are inconsistencies between these batteries due to manufacturing process limitations. This situation will cause over-charging and over-discharging of the batteries, which seriously affects the safety of the battery packs. In order to solve this problem, this paper proposed a battery equalization strategy based on fuzzy control, and simulated the strategy in MATLAB/SIMULINK. The result proved that the scheme could automatically balance the batteries, which effectively prevented over-charging and over-discharging of the batteries.