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contributor authorHuang, Yuhao
contributor authorSu, Yan
contributor authorGarg, Akhil
date accessioned2022-02-05T22:34:00Z
date available2022-02-05T22:34:00Z
date copyright2/3/2021 12:00:00 AM
date issued2021
identifier issn2381-6872
identifier otherjeecs_18_3_030901.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277766
description abstractA new process decomposed calculation method is developed to compare the cycle based charge, discharge, net, and overall energy efficiencies of lithium-ion batteries. Multi-cycle measurements for both constant current (CC) and constant current to constant voltage (CC-CV) charge models have been performed. Unlike most conventional efficiency calculation methods with one mean open-circuit voltage (OCV) curve, two OCV curves are calculated separately for the charge and discharge processes. These two OCV curves help to clarify the intra-cycle charge, discharge, net, and overall energy efficiencies. The relationships of efficiencies versus state of charge, state of quantity, and scaled stresses are demonstrated. Efficiency degradation patterns versus cycle numbers and scaled stresses are also illustrated with the artificial neural network (ANN) prediction method. The decaying ratios of the overall efficiencies are about 2% and 0.3% in the first 30 cycles, for CC and CC-CV, respectively. Hence, efficiencies of the CC-CV model are more stable compared with the CC model, which are shown by both experimental and ANN prediction results.
publisherThe American Society of Mechanical Engineers (ASME)
titleMeasurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
typeJournal Paper
journal volume18
journal issue3
journal titleJournal of Electrochemical Energy Conversion and Storage
identifier doi10.1115/1.4049576
journal fristpage030901-1
journal lastpage030901-9
page9
treeJournal of Electrochemical Energy Conversion and Storage:;2021:;volume( 018 ):;issue: 003
contenttypeFulltext


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