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Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
Huang, Yuhao1; Su, Yan1; Garg, Akhil2
2021-02-03
Source PublicationJOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE
ISSN2381-6872
Volume18Issue:3Pages:JEECS-20-1145
Abstract

A new process decomposed calculation method is developed to compare the cycle based charge, discharge, net, and overall energy efficiencies of lithium-ion batteries. Multicycle 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.

KeywordArtificial Neural Network Prediction Batteries Degradation Patterns Electrochemical Storage Energy Efficiencies Lithium-ion Batteries
DOI10.1115/1.4049576
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaElectrochemistry ; Energy & Fuels
WOS SubjectElectrochemistry ; Energy & Fuels
WOS IDWOS:000749081000003
PublisherASME
Scopus ID2-s2.0-85127377075
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.Department of Electromechanical Engineering, University of Macau, Taipa, 999078, Macao
2.School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Huang, Yuhao,Su, Yan,Garg, Akhil. Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models[J]. JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2021, 18(3), JEECS-20-1145.
APA Huang, Yuhao., Su, Yan., & Garg, Akhil (2021). Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models. JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 18(3), JEECS-20-1145.
MLA Huang, Yuhao,et al."Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models".JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE 18.3(2021):JEECS-20-1145.
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