Matches in SemOpenAlex for { <https://semopenalex.org/work/W3041101137> ?p ?o ?g. }
- W3041101137 endingPage "100016" @default.
- W3041101137 startingPage "100016" @default.
- W3041101137 abstract "Effective management of lithium-ion batteries is a key enabler for a low carbon future, with applications including electric vehicles and grid scale energy storage. The lifetime of these devices depends greatly on the materials used, the system design and the operating conditions. This complexity has therefore made real-world control of battery systems challenging. However, with the recent advances in understanding battery degradation, modelling tools and diagnostics, there is an opportunity to fuse this knowledge with emerging machine learning techniques towards creating a battery digital twin. In this cyber-physical system, there is a close interaction between a physical and digital embodiment of a battery, which enables smarter control and longer lifetime. This perspectives paper thus presents the state-of-the-art in battery modelling, in-vehicle diagnostic tools, data driven modelling approaches, and how these elements can be combined in a framework for creating a battery digital twin. The challenges, emerging techniques and perspective comments provided here, will enable scientists and engineers from industry and academia with a framework towards more intelligent and interconnected battery management in the future." @default.
- W3041101137 created "2020-07-16" @default.
- W3041101137 creator A5025307891 @default.
- W3041101137 creator A5026277667 @default.
- W3041101137 creator A5060537444 @default.
- W3041101137 creator A5071054959 @default.
- W3041101137 date "2020-08-01" @default.
- W3041101137 modified "2023-10-16" @default.
- W3041101137 title "Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems" @default.
- W3041101137 cites W1819956133 @default.
- W3041101137 cites W1916811336 @default.
- W3041101137 cites W1966618568 @default.
- W3041101137 cites W1969910044 @default.
- W3041101137 cites W1974232343 @default.
- W3041101137 cites W1991243397 @default.
- W3041101137 cites W1998803278 @default.
- W3041101137 cites W1999389950 @default.
- W3041101137 cites W2014905068 @default.
- W3041101137 cites W2025154362 @default.
- W3041101137 cites W2040038836 @default.
- W3041101137 cites W2043418731 @default.
- W3041101137 cites W2056174177 @default.
- W3041101137 cites W2082437601 @default.
- W3041101137 cites W2086630344 @default.
- W3041101137 cites W2111028597 @default.
- W3041101137 cites W2113449668 @default.
- W3041101137 cites W2140123645 @default.
- W3041101137 cites W2147428031 @default.
- W3041101137 cites W2166618387 @default.
- W3041101137 cites W2224472339 @default.
- W3041101137 cites W2277946000 @default.
- W3041101137 cites W2336117748 @default.
- W3041101137 cites W2337221380 @default.
- W3041101137 cites W2443042946 @default.
- W3041101137 cites W2466649326 @default.
- W3041101137 cites W2563343938 @default.
- W3041101137 cites W2597150627 @default.
- W3041101137 cites W2609173771 @default.
- W3041101137 cites W2618037459 @default.
- W3041101137 cites W2767663538 @default.
- W3041101137 cites W2767681895 @default.
- W3041101137 cites W2782996909 @default.
- W3041101137 cites W2783078119 @default.
- W3041101137 cites W2793542117 @default.
- W3041101137 cites W2793892104 @default.
- W3041101137 cites W2912336905 @default.
- W3041101137 cites W2924382816 @default.
- W3041101137 cites W2944097700 @default.
- W3041101137 cites W2967686386 @default.
- W3041101137 cites W2972216679 @default.
- W3041101137 cites W2974904579 @default.
- W3041101137 cites W2978366877 @default.
- W3041101137 cites W2999951339 @default.
- W3041101137 cites W3003667836 @default.
- W3041101137 cites W3007217854 @default.
- W3041101137 cites W3008766380 @default.
- W3041101137 cites W3009652674 @default.
- W3041101137 cites W3010408268 @default.
- W3041101137 cites W3014640119 @default.
- W3041101137 cites W3017990358 @default.
- W3041101137 cites W3018181611 @default.
- W3041101137 cites W3018944197 @default.
- W3041101137 cites W3019981686 @default.
- W3041101137 cites W3023537476 @default.
- W3041101137 cites W3024813357 @default.
- W3041101137 cites W3025664978 @default.
- W3041101137 cites W3025760818 @default.
- W3041101137 cites W3035216124 @default.
- W3041101137 cites W3037136795 @default.
- W3041101137 cites W3037979004 @default.
- W3041101137 cites W4247215341 @default.
- W3041101137 cites W4253891276 @default.
- W3041101137 doi "https://doi.org/10.1016/j.egyai.2020.100016" @default.
- W3041101137 hasPublicationYear "2020" @default.
- W3041101137 type Work @default.
- W3041101137 sameAs 3041101137 @default.
- W3041101137 citedByCount "153" @default.
- W3041101137 countsByYear W30411011372020 @default.
- W3041101137 countsByYear W30411011372021 @default.
- W3041101137 countsByYear W30411011372022 @default.
- W3041101137 countsByYear W30411011372023 @default.
- W3041101137 crossrefType "journal-article" @default.
- W3041101137 hasAuthorship W3041101137A5025307891 @default.
- W3041101137 hasAuthorship W3041101137A5026277667 @default.
- W3041101137 hasAuthorship W3041101137A5060537444 @default.
- W3041101137 hasAuthorship W3041101137A5071054959 @default.
- W3041101137 hasBestOaLocation W30411011371 @default.
- W3041101137 hasConcept C10558101 @default.
- W3041101137 hasConcept C119599485 @default.
- W3041101137 hasConcept C121332964 @default.
- W3041101137 hasConcept C127413603 @default.
- W3041101137 hasConcept C130631938 @default.
- W3041101137 hasConcept C15744967 @default.
- W3041101137 hasConcept C163258240 @default.
- W3041101137 hasConcept C201995342 @default.
- W3041101137 hasConcept C22607594 @default.
- W3041101137 hasConcept C26517878 @default.
- W3041101137 hasConcept C38652104 @default.