FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226066061> ?p ?o ?g. }

• W4226066061 endingPage "177" @default.
• W4226066061 startingPage "168" @default.
• W4226066061 abstract "Accurate estimation of battery state including state-of-charge (SOC) and state-of-health (SOH) plays an important role in improving the performance and lifespan of battery packs in electric vehicles. From the perspective of electrochemical mechanisms, the battery SOC and SOH strongly depends on the status of battery electrochemical reaction processes and associated variables, especially the number of lithium-ion in solid phases. In this article, a method based on a simplified battery electrochemical model, which is optimized by back propagation neural network, was proposed to estimate the battery SOC and SOH. The simplified battery electrochemical model called single particle model is employed to obtain the number of recyclable lithium-ions at different aging degrees and the lithium-ion changes of solid particles with different loaded currents. The parameters of the electrochemical model are identified by an algorithm hybridizing Coyote Optimization Algorithm and Grey Wolf Optimizer, abbreviated to Hybrid Coyote Optimization Algorithm and Grey Wolf Optimizer for its great balance in operational speed and optimization accuracy. To improving the speed and accuracy of model parameter identification, the rang of the number of recyclable lithium-ions is narrowed by battery capacity, which is estimated by the back propagation neural network. The accuracy and robustness of the proposed method are systematically evaluated, and with the mean absolute percentage errors of promising battery capacity and SOC prediction results are less than 2% and 1.8%, respectively. The operation time of the battery SOC prediction during federal urban driving schedule cycles are less than 2 s." @default.
• W4226066061 created "2022-05-05" @default.
• W4226066061 creator A5014708668 @default.
• W4226066061 creator A5023862346 @default.
• W4226066061 creator A5034874264 @default.
• W4226066061 creator A5040951686 @default.
• W4226066061 date "2023-01-01" @default.
• W4226066061 modified "2023-10-16" @default.
• W4226066061 title "Joint Estimation of State-of-Health and State-of-Charge for Lithium-Ion Battery Based on Electrochemical Model Optimized by Neural Network" @default.
• W4226066061 cites W2002893394 @default.
• W4226066061 cites W2344174278 @default.
• W4226066061 cites W2397845925 @default.
• W4226066061 cites W2513919993 @default.
• W4226066061 cites W2519883542 @default.
• W4226066061 cites W2559259751 @default.
• W4226066061 cites W2594530559 @default.
• W4226066061 cites W2743993177 @default.
• W4226066061 cites W2755729630 @default.
• W4226066061 cites W2780501074 @default.
• W4226066061 cites W2887597614 @default.
• W4226066061 cites W2898774669 @default.
• W4226066061 cites W2901900441 @default.
• W4226066061 cites W2908795966 @default.
• W4226066061 cites W2950890473 @default.
• W4226066061 cites W2974193225 @default.
• W4226066061 cites W2996110925 @default.
• W4226066061 cites W2999803522 @default.
• W4226066061 cites W3011767177 @default.
• W4226066061 cites W3017186475 @default.
• W4226066061 cites W3024690501 @default.
• W4226066061 cites W3043579022 @default.
• W4226066061 cites W3049306684 @default.
• W4226066061 cites W3089572627 @default.
• W4226066061 cites W3092002927 @default.
• W4226066061 cites W3093790675 @default.
• W4226066061 cites W3094320978 @default.
• W4226066061 cites W3113652901 @default.
• W4226066061 cites W3114628019 @default.
• W4226066061 cites W3119174963 @default.
• W4226066061 cites W3119964128 @default.
• W4226066061 cites W3136952091 @default.
• W4226066061 cites W3160572064 @default.
• W4226066061 cites W3161076990 @default.
• W4226066061 cites W3161246124 @default.
• W4226066061 cites W3193638514 @default.
• W4226066061 doi "https://doi.org/10.1109/jestie.2022.3148031" @default.
• W4226066061 hasPublicationYear "2023" @default.
• W4226066061 type Work @default.
• W4226066061 citedByCount "9" @default.
• W4226066061 countsByYear W42260660612022 @default.
• W4226066061 countsByYear W42260660612023 @default.
• W4226066061 crossrefType "journal-article" @default.
• W4226066061 hasAuthorship W4226066061A5014708668 @default.
• W4226066061 hasAuthorship W4226066061A5023862346 @default.
• W4226066061 hasAuthorship W4226066061A5034874264 @default.
• W4226066061 hasAuthorship W4226066061A5040951686 @default.
• W4226066061 hasConcept C104317684 @default.
• W4226066061 hasConcept C121332964 @default.
• W4226066061 hasConcept C147789679 @default.
• W4226066061 hasConcept C154945302 @default.
• W4226066061 hasConcept C163258240 @default.
• W4226066061 hasConcept C17525397 @default.
• W4226066061 hasConcept C185592680 @default.
• W4226066061 hasConcept C2775924081 @default.
• W4226066061 hasConcept C2776582896 @default.
• W4226066061 hasConcept C2777294910 @default.
• W4226066061 hasConcept C2779197387 @default.
• W4226066061 hasConcept C41008148 @default.
• W4226066061 hasConcept C44154836 @default.
• W4226066061 hasConcept C47446073 @default.
• W4226066061 hasConcept C50644808 @default.
• W4226066061 hasConcept C52859227 @default.
• W4226066061 hasConcept C55493867 @default.
• W4226066061 hasConcept C555008776 @default.
• W4226066061 hasConcept C62520636 @default.
• W4226066061 hasConcept C63479239 @default.
• W4226066061 hasConceptScore W4226066061C104317684 @default.
• W4226066061 hasConceptScore W4226066061C121332964 @default.
• W4226066061 hasConceptScore W4226066061C147789679 @default.
• W4226066061 hasConceptScore W4226066061C154945302 @default.
• W4226066061 hasConceptScore W4226066061C163258240 @default.
• W4226066061 hasConceptScore W4226066061C17525397 @default.
• W4226066061 hasConceptScore W4226066061C185592680 @default.
• W4226066061 hasConceptScore W4226066061C2775924081 @default.
• W4226066061 hasConceptScore W4226066061C2776582896 @default.
• W4226066061 hasConceptScore W4226066061C2777294910 @default.
• W4226066061 hasConceptScore W4226066061C2779197387 @default.
• W4226066061 hasConceptScore W4226066061C41008148 @default.
• W4226066061 hasConceptScore W4226066061C44154836 @default.
• W4226066061 hasConceptScore W4226066061C47446073 @default.
• W4226066061 hasConceptScore W4226066061C50644808 @default.
• W4226066061 hasConceptScore W4226066061C52859227 @default.
• W4226066061 hasConceptScore W4226066061C55493867 @default.
• W4226066061 hasConceptScore W4226066061C555008776 @default.
• W4226066061 hasConceptScore W4226066061C62520636 @default.
• W4226066061 hasConceptScore W4226066061C63479239 @default.
• W4226066061 hasFunder F4320321001 @default.
• W4226066061 hasFunder F4320337111 @default.

• next