Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310971552> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4310971552 abstract "Lithium-ion (Li-ion) batteries have attracted significant attention in terms of technical features, but to use them within their specific operating region and prevent undue degradation, it is crucial to constantly monitor their state of charge (SOC). However, most available techniques are either too complex, too computationally demanding, or require a large measurement window. This paper proposes a general framework for the data-driven SOC estimation and demonstrates its effectiveness via a very simple Neural Network (NN) classifier. Accordingly, a nonlinear input–output neural network (NIONN) is developed based on the proposed network and then further optimized. Additionally, we present an input engineering process using available data to provide a good accuracy while considering the practical aspects such as complexity as well as the update speed for a low-cost online application. The numerical results from the measurements validate the performance of the proposed general framework. Per extensive optimizations, it is proven that a shallow network structure with 13 neurons in the first hidden layer and 12 neurons in the second layer can achieve <98.3% accuracy and a mean squared error of <10 <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>−5</sup> which is on par with more complex networks with higher neurons and/or hidden layers. Additionally, the optimum observation window was determined to be 5 seconds." @default.
- W4310971552 created "2022-12-21" @default.
- W4310971552 creator A5016305856 @default.
- W4310971552 creator A5036986331 @default.
- W4310971552 creator A5043644440 @default.
- W4310971552 creator A5075727061 @default.
- W4310971552 creator A5077822263 @default.
- W4310971552 date "2022-10-17" @default.
- W4310971552 modified "2023-10-18" @default.
- W4310971552 title "An Accurate Practical Technique for Real-Time State-of-Charge Estimation of Li-Ion Batteries Using Neural Networks" @default.
- W4310971552 cites W1642625136 @default.
- W4310971552 cites W2006829425 @default.
- W4310971552 cites W2006918070 @default.
- W4310971552 cites W2406785788 @default.
- W4310971552 cites W2736061732 @default.
- W4310971552 cites W2769528646 @default.
- W4310971552 cites W2774327138 @default.
- W4310971552 cites W2793236138 @default.
- W4310971552 cites W2901811437 @default.
- W4310971552 cites W2907636747 @default.
- W4310971552 cites W2908066358 @default.
- W4310971552 cites W2910546152 @default.
- W4310971552 cites W2922306207 @default.
- W4310971552 cites W2955355093 @default.
- W4310971552 cites W2973538758 @default.
- W4310971552 cites W2988332575 @default.
- W4310971552 cites W2990622267 @default.
- W4310971552 cites W2999725011 @default.
- W4310971552 cites W3004741775 @default.
- W4310971552 cites W3008834035 @default.
- W4310971552 cites W3012328335 @default.
- W4310971552 cites W3035785571 @default.
- W4310971552 cites W3038702313 @default.
- W4310971552 cites W3093696364 @default.
- W4310971552 cites W3097980488 @default.
- W4310971552 cites W3137802065 @default.
- W4310971552 cites W3157753030 @default.
- W4310971552 cites W3160862867 @default.
- W4310971552 cites W3162431359 @default.
- W4310971552 cites W3192748703 @default.
- W4310971552 cites W3201619873 @default.
- W4310971552 cites W3213315264 @default.
- W4310971552 doi "https://doi.org/10.1109/iecon49645.2022.9968516" @default.
- W4310971552 hasPublicationYear "2022" @default.
- W4310971552 type Work @default.
- W4310971552 citedByCount "1" @default.
- W4310971552 countsByYear W43109715522023 @default.
- W4310971552 crossrefType "proceedings-article" @default.
- W4310971552 hasAuthorship W4310971552A5016305856 @default.
- W4310971552 hasAuthorship W4310971552A5036986331 @default.
- W4310971552 hasAuthorship W4310971552A5043644440 @default.
- W4310971552 hasAuthorship W4310971552A5075727061 @default.
- W4310971552 hasAuthorship W4310971552A5077822263 @default.
- W4310971552 hasConcept C11413529 @default.
- W4310971552 hasConcept C121332964 @default.
- W4310971552 hasConcept C127413603 @default.
- W4310971552 hasConcept C145148216 @default.
- W4310971552 hasConcept C154945302 @default.
- W4310971552 hasConcept C163258240 @default.
- W4310971552 hasConcept C188082385 @default.
- W4310971552 hasConcept C201995342 @default.
- W4310971552 hasConcept C2776582896 @default.
- W4310971552 hasConcept C41008148 @default.
- W4310971552 hasConcept C48103436 @default.
- W4310971552 hasConcept C50644808 @default.
- W4310971552 hasConcept C555008776 @default.
- W4310971552 hasConcept C62520636 @default.
- W4310971552 hasConcept C96250715 @default.
- W4310971552 hasConceptScore W4310971552C11413529 @default.
- W4310971552 hasConceptScore W4310971552C121332964 @default.
- W4310971552 hasConceptScore W4310971552C127413603 @default.
- W4310971552 hasConceptScore W4310971552C145148216 @default.
- W4310971552 hasConceptScore W4310971552C154945302 @default.
- W4310971552 hasConceptScore W4310971552C163258240 @default.
- W4310971552 hasConceptScore W4310971552C188082385 @default.
- W4310971552 hasConceptScore W4310971552C201995342 @default.
- W4310971552 hasConceptScore W4310971552C2776582896 @default.
- W4310971552 hasConceptScore W4310971552C41008148 @default.
- W4310971552 hasConceptScore W4310971552C48103436 @default.
- W4310971552 hasConceptScore W4310971552C50644808 @default.
- W4310971552 hasConceptScore W4310971552C555008776 @default.
- W4310971552 hasConceptScore W4310971552C62520636 @default.
- W4310971552 hasConceptScore W4310971552C96250715 @default.
- W4310971552 hasFunder F4320311649 @default.
- W4310971552 hasLocation W43109715521 @default.
- W4310971552 hasOpenAccess W4310971552 @default.
- W4310971552 hasPrimaryLocation W43109715521 @default.
- W4310971552 hasRelatedWork W1633850545 @default.
- W4310971552 hasRelatedWork W2018147439 @default.
- W4310971552 hasRelatedWork W2020947055 @default.
- W4310971552 hasRelatedWork W2053771946 @default.
- W4310971552 hasRelatedWork W2089293339 @default.
- W4310971552 hasRelatedWork W2294297198 @default.
- W4310971552 hasRelatedWork W2381766420 @default.
- W4310971552 hasRelatedWork W2386387936 @default.
- W4310971552 hasRelatedWork W4256082556 @default.
- W4310971552 hasRelatedWork W1629725936 @default.
- W4310971552 isParatext "false" @default.
- W4310971552 isRetracted "false" @default.
- W4310971552 workType "article" @default.