Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382936785> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4382936785 abstract "To accurately estimate the battery state of charge (SOC), it is vital to improve the performance of a battery-powered system. This paper employs the recent proposed Evolutionary Mating Algorithm (EMA) for optimizing the weights and biases of Feed-Forward Neural Network (FNN) in estimating the state of charge (SOC) of Lithium-ion batteries. SOC estimation is the critical aspect in battery management system (BMS) to ensure the reliable operation of electric vehicles (EV) since there are no direct way to measure it. In addition, it is very nonlinear due to variation of charge/discharge currents and temperature. EMA is the recent evolutionary algorithm based on mating theory and environmental factor will be used in this paper to optimize the weights and biases of FNN on a common Li-ion battery, multiple data measurements, drive cycles and training repetitions. The performance of EMA will be compared with other algorithms to show the effectiveness of EMA in solving the SOC estimation problem. Findings of the study demonstrate the superiority of EMA in estimating the SOC of the batteries in terms of Root Mean Square Error (RMSE), mean Absolute Error (MAE) and Standard Deviation." @default.
- W4382936785 created "2023-07-04" @default.
- W4382936785 creator A5016887161 @default.
- W4382936785 creator A5023291793 @default.
- W4382936785 creator A5047089767 @default.
- W4382936785 date "2023-05-20" @default.
- W4382936785 modified "2023-09-25" @default.
- W4382936785 title "Metaheuristic Approach for Optimizing Neural Networks Parameters in Battery State of Charge Estimation" @default.
- W4382936785 cites W1595159159 @default.
- W4382936785 cites W1985334587 @default.
- W4382936785 cites W1997600725 @default.
- W4382936785 cites W2061438946 @default.
- W4382936785 cites W2072955302 @default.
- W4382936785 cites W2109364787 @default.
- W4382936785 cites W2144317842 @default.
- W4382936785 cites W2413688291 @default.
- W4382936785 cites W2419385442 @default.
- W4382936785 cites W2984191725 @default.
- W4382936785 cites W3041595900 @default.
- W4382936785 cites W3046580686 @default.
- W4382936785 cites W3126836827 @default.
- W4382936785 cites W3139252922 @default.
- W4382936785 cites W4200520486 @default.
- W4382936785 cites W4205853483 @default.
- W4382936785 cites W4224261069 @default.
- W4382936785 cites W4289687641 @default.
- W4382936785 cites W4292083457 @default.
- W4382936785 cites W4296123387 @default.
- W4382936785 cites W4303646315 @default.
- W4382936785 cites W883434633 @default.
- W4382936785 doi "https://doi.org/10.1109/iscaie57739.2023.10164965" @default.
- W4382936785 hasPublicationYear "2023" @default.
- W4382936785 type Work @default.
- W4382936785 citedByCount "0" @default.
- W4382936785 crossrefType "proceedings-article" @default.
- W4382936785 hasAuthorship W4382936785A5016887161 @default.
- W4382936785 hasAuthorship W4382936785A5023291793 @default.
- W4382936785 hasAuthorship W4382936785A5047089767 @default.
- W4382936785 hasConcept C105795698 @default.
- W4382936785 hasConcept C11413529 @default.
- W4382936785 hasConcept C119857082 @default.
- W4382936785 hasConcept C121332964 @default.
- W4382936785 hasConcept C139945424 @default.
- W4382936785 hasConcept C154945302 @default.
- W4382936785 hasConcept C159149176 @default.
- W4382936785 hasConcept C163258240 @default.
- W4382936785 hasConcept C2775924081 @default.
- W4382936785 hasConcept C2776582896 @default.
- W4382936785 hasConcept C2779197387 @default.
- W4382936785 hasConcept C33923547 @default.
- W4382936785 hasConcept C41008148 @default.
- W4382936785 hasConcept C47446073 @default.
- W4382936785 hasConcept C50644808 @default.
- W4382936785 hasConcept C555008776 @default.
- W4382936785 hasConcept C62520636 @default.
- W4382936785 hasConceptScore W4382936785C105795698 @default.
- W4382936785 hasConceptScore W4382936785C11413529 @default.
- W4382936785 hasConceptScore W4382936785C119857082 @default.
- W4382936785 hasConceptScore W4382936785C121332964 @default.
- W4382936785 hasConceptScore W4382936785C139945424 @default.
- W4382936785 hasConceptScore W4382936785C154945302 @default.
- W4382936785 hasConceptScore W4382936785C159149176 @default.
- W4382936785 hasConceptScore W4382936785C163258240 @default.
- W4382936785 hasConceptScore W4382936785C2775924081 @default.
- W4382936785 hasConceptScore W4382936785C2776582896 @default.
- W4382936785 hasConceptScore W4382936785C2779197387 @default.
- W4382936785 hasConceptScore W4382936785C33923547 @default.
- W4382936785 hasConceptScore W4382936785C41008148 @default.
- W4382936785 hasConceptScore W4382936785C47446073 @default.
- W4382936785 hasConceptScore W4382936785C50644808 @default.
- W4382936785 hasConceptScore W4382936785C555008776 @default.
- W4382936785 hasConceptScore W4382936785C62520636 @default.
- W4382936785 hasFunder F4320321147 @default.
- W4382936785 hasFunder F4320323310 @default.
- W4382936785 hasLocation W43829367851 @default.
- W4382936785 hasOpenAccess W4382936785 @default.
- W4382936785 hasPrimaryLocation W43829367851 @default.
- W4382936785 hasRelatedWork W2959527749 @default.
- W4382936785 hasRelatedWork W3000582415 @default.
- W4382936785 hasRelatedWork W3108398365 @default.
- W4382936785 hasRelatedWork W3215077645 @default.
- W4382936785 hasRelatedWork W3215302509 @default.
- W4382936785 hasRelatedWork W4283029925 @default.
- W4382936785 hasRelatedWork W4313060129 @default.
- W4382936785 hasRelatedWork W4316659308 @default.
- W4382936785 hasRelatedWork W4323271352 @default.
- W4382936785 hasRelatedWork W4366710081 @default.
- W4382936785 isParatext "false" @default.
- W4382936785 isRetracted "false" @default.
- W4382936785 workType "article" @default.