Lithium-ion battery state of function estimation based on fuzzy logic algorithm with associated variables

2017 3rd International Conference on Energy, Environment and Materials Science

能源学;生态环境科学;材料科学

Gan, L.^1 ; Yang, F.^1 ; Shi, Y.F.^1 ; He, H.L.^1

School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu

611731, China^1

关键词: Battery state of charge;    Fuzzy logic algorithms;    Instantaneous loads;    Instantaneous power;    Large-scale applications;    Rate parameters;    State of functions;    State of health;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/94/1/012133/pdf
DOI  :  10.1088/1755-1315/94/1/012133

来源: IOP

【 摘 要 】

Many occasions related to batteries demand to know how much continuous and instantaneous power can batteries provide such as the rapidly developing electric vehicles. As the large-scale applications of lithium-ion batteries, lithium-ion batteries are used to be our research object. Many experiments are designed to get the lithium-ion battery parameters to ensure the relevance and reliability of the estimation. To evaluate the continuous and instantaneous load capability of a battery called state-of-function (SOF), this paper proposes a fuzzy logic algorithm based on battery state-of-charge(SOC), state-of-health(SOH) and C-rate parameters. Simulation and experimental results indicate that the proposed approach is suitable for battery SOF estimation.