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contributor authorYang, Fan
contributor authorXu, Yuxuan
contributor authorSu, Lei
contributor authorYang, Zhichun
contributor authorFeng, Yu
contributor authorZhang, Cheng
contributor authorShao, Tao
date accessioned2023-08-16T18:31:00Z
date available2023-08-16T18:31:00Z
date copyright4/27/2023 12:00:00 AM
date issued2023
identifier issn2381-6872
identifier otherjeecs_21_1_011004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292074
description abstractThe internal battery parameters of the lithium-ion battery energy storage system may be inconsistent due to different aging degrees during the operation, and the thermal effect can also threaten the safety of the system. In this paper, based on the second-order resistor–capacitor equivalent circuit model and the dual extended Kalman filter (DEKF) algorithm, an electrical simulation model of a LIB pack with inconsistent parameters considering the thermal effect is established, in which state of charge (SOC) and state of health (SOH) are estimated using DEKF, while the temperature is calculated by a thermal module. The simulation results show that the DEKF algorithm has a good effect on battery state and parameter estimation, with the root-mean-square error of voltage is lower than 0.01 V and SOC mean absolute error (MAE) is below 1.50%, while SOH error is 3.37%. In addition, the thermal module can provide an accurate estimation of the inconsistent temperature rise of the battery pack, and the MAE between the model-calculated temperature and the experiment is no more than 6.60%. The results provide the basic data for the scale-up of the electrothermal co-simulation model of the LIB energy storage system.
publisherThe American Society of Mechanical Engineers (ASME)
titleState of Charge and State of Health Estimation of Lithium-Ion Battery Packs With Inconsistent Internal Parameters Using Dual Extended Kalman Filter
typeJournal Paper
journal volume21
journal issue1
journal titleJournal of Electrochemical Energy Conversion and Storage
identifier doi10.1115/1.4062319
journal fristpage11004-1
journal lastpage11004-10
page10
treeJournal of Electrochemical Energy Conversion and Storage:;2023:;volume( 021 ):;issue: 001
contenttypeFulltext


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