UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Status已發表Published
Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
Huang, Y.H.; Su, Y.; Garg, A.
2021-03-01
Source PublicationJournal of Electrochemical Energy Conversion and Storage
ISSN2381-6872
Pages030901-030901
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 CC-CV model are more stable compared to the CC model, which are shown by both experimental and ANN prediction results.
KeywordArtificial neural network prediction Degradation patterns Energy efficiencies Lithium-ion batteries
Language英語English
The Source to ArticlePB_Publication
PUB ID58503
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorSu, Y.
Recommended Citation
GB/T 7714
Huang, Y.H.,Su, Y.,Garg, A.. Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models[J]. Journal of Electrochemical Energy Conversion and Storage, 2021, 030901-030901.
APA Huang, Y.H.., Su, Y.., & Garg, A. (2021). Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models. Journal of Electrochemical Energy Conversion and Storage, 030901-030901.
MLA Huang, Y.H.,et al."Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models".Journal of Electrochemical Energy Conversion and Storage (2021):030901-030901.
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