FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386005915> ?p ?o ?g. }

• W4386005915 endingPage "108591" @default.
• W4386005915 startingPage "108591" @default.
• W4386005915 abstract "Batteries are highly flexible energy storages and they can be easily integrated in energy systems. However, the modeling of batteries must be coherent and robust to be effectively included in the energy systems; in particular, the aging phenomena are known to significantly impact the storage capacity, charging/discharging behaviors, and the state of charge. While data-driven lithium-ion battery models, which consider both cyclic and calendar aging, are widely reported in the scientific literature, their robustness in dealing with different data compared to trained ones has not been deeply investigated so far. In this study, a sensitivity analysis is performed using three aging models available in the scientific literature (e.g., Wang’s, Baghdadi’s, and Omar’s ones) to investigate their performance under different operating conditions of both temperature and current. Results of both univariate and multivariate sensitivity analyses refer to a 160 A h battery, showing that all the three models are able to accurately predict the battery aging under different operating conditions, but some of these models are more sensitive to specific factors than others. Specifically, the multivariate analysis shows that Wang’s model is the most robust one in the face of simultaneous changes in both temperature and current." @default.
• W4386005915 created "2023-08-20" @default.
• W4386005915 creator A5005702554 @default.
• W4386005915 creator A5013840363 @default.
• W4386005915 creator A5035990121 @default.
• W4386005915 creator A5039766229 @default.
• W4386005915 creator A5043984726 @default.
• W4386005915 creator A5056152519 @default.
• W4386005915 creator A5061127303 @default.
• W4386005915 date "2023-11-01" @default.
• W4386005915 modified "2023-10-12" @default.
• W4386005915 title "Li-ion battery aging model robustness: An analysis using univariate and multivariate techniques" @default.
• W4386005915 cites W1279334329 @default.
• W4386005915 cites W1979448554 @default.
• W4386005915 cites W1979716586 @default.
• W4386005915 cites W1987065012 @default.
• W4386005915 cites W2044005487 @default.
• W4386005915 cites W2056150265 @default.
• W4386005915 cites W2065788296 @default.
• W4386005915 cites W2084015272 @default.
• W4386005915 cites W2087629693 @default.
• W4386005915 cites W2157457477 @default.
• W4386005915 cites W2191802622 @default.
• W4386005915 cites W2201263372 @default.
• W4386005915 cites W2334134865 @default.
• W4386005915 cites W2424918424 @default.
• W4386005915 cites W2543580944 @default.
• W4386005915 cites W2549462694 @default.
• W4386005915 cites W2612616123 @default.
• W4386005915 cites W2760646132 @default.
• W4386005915 cites W2773340786 @default.
• W4386005915 cites W2802993111 @default.
• W4386005915 cites W2805001701 @default.
• W4386005915 cites W2809859787 @default.
• W4386005915 cites W2891455674 @default.
• W4386005915 cites W2903223816 @default.
• W4386005915 cites W2921285917 @default.
• W4386005915 cites W2970173773 @default.
• W4386005915 cites W2975465641 @default.
• W4386005915 cites W3005944535 @default.
• W4386005915 cites W3009397746 @default.
• W4386005915 cites W3009652674 @default.
• W4386005915 cites W3010779281 @default.
• W4386005915 cites W3017716803 @default.
• W4386005915 cites W3033604839 @default.
• W4386005915 cites W3035894202 @default.
• W4386005915 cites W3036494826 @default.
• W4386005915 cites W3092945008 @default.
• W4386005915 cites W3105810819 @default.
• W4386005915 cites W3157612278 @default.
• W4386005915 cites W3158395007 @default.
• W4386005915 cites W3168459264 @default.
• W4386005915 cites W3174812422 @default.
• W4386005915 cites W3194373144 @default.
• W4386005915 cites W3200038746 @default.
• W4386005915 cites W3204068569 @default.
• W4386005915 cites W3212248456 @default.
• W4386005915 cites W4226370761 @default.
• W4386005915 cites W425996151 @default.
• W4386005915 doi "https://doi.org/10.1016/j.est.2023.108591" @default.
• W4386005915 hasPublicationYear "2023" @default.
• W4386005915 type Work @default.
• W4386005915 citedByCount "0" @default.
• W4386005915 crossrefType "journal-article" @default.
• W4386005915 hasAuthorship W4386005915A5005702554 @default.
• W4386005915 hasAuthorship W4386005915A5013840363 @default.
• W4386005915 hasAuthorship W4386005915A5035990121 @default.
• W4386005915 hasAuthorship W4386005915A5039766229 @default.
• W4386005915 hasAuthorship W4386005915A5043984726 @default.
• W4386005915 hasAuthorship W4386005915A5056152519 @default.
• W4386005915 hasAuthorship W4386005915A5061127303 @default.
• W4386005915 hasBestOaLocation W43860059151 @default.
• W4386005915 hasConcept C104317684 @default.
• W4386005915 hasConcept C119857082 @default.
• W4386005915 hasConcept C121332964 @default.
• W4386005915 hasConcept C127413603 @default.
• W4386005915 hasConcept C161584116 @default.
• W4386005915 hasConcept C163258240 @default.
• W4386005915 hasConcept C185592680 @default.
• W4386005915 hasConcept C199163554 @default.
• W4386005915 hasConcept C200601418 @default.
• W4386005915 hasConcept C21200559 @default.
• W4386005915 hasConcept C24326235 @default.
• W4386005915 hasConcept C2776582896 @default.
• W4386005915 hasConcept C2779197387 @default.
• W4386005915 hasConcept C38180746 @default.
• W4386005915 hasConcept C41008148 @default.
• W4386005915 hasConcept C55493867 @default.
• W4386005915 hasConcept C555008776 @default.
• W4386005915 hasConcept C62520636 @default.
• W4386005915 hasConcept C63479239 @default.
• W4386005915 hasConceptScore W4386005915C104317684 @default.
• W4386005915 hasConceptScore W4386005915C119857082 @default.
• W4386005915 hasConceptScore W4386005915C121332964 @default.
• W4386005915 hasConceptScore W4386005915C127413603 @default.
• W4386005915 hasConceptScore W4386005915C161584116 @default.
• W4386005915 hasConceptScore W4386005915C163258240 @default.
• W4386005915 hasConceptScore W4386005915C185592680 @default.

• next