Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020444034> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2020444034 endingPage "1098" @default.
- W2020444034 startingPage "1093" @default.
- W2020444034 abstract "This paper presents a novel approach using adaptive artificial neural network based model and neuro-controller for online cell State of Charge (SOC) determination. Taking cell SOC as model’s predictive control input unit, radial basis function neural network, which can adjust its structure to prediction error with recursive least square algorithm, is used to simulate battery system. Besides that, neuro-controller based on Back-Propagation Neural Network (BPNN) and modified PID controller is used to decide the control input of battery system, i.e., cell SOC. Finally this algorithm is applied for the SOC determination of lead-acid batteries, and results of lab tests on physical cells, compared with model prediction, are presented. Results show that the ANN based battery system model adaptively simulates battery system with great accuracy, and the predicted SOC simultaneously converges to the real value quickly within the error of ±1 as time goes on." @default.
- W2020444034 created "2016-06-24" @default.
- W2020444034 creator A5076097045 @default.
- W2020444034 date "2010-05-01" @default.
- W2020444034 modified "2023-10-16" @default.
- W2020444034 title "Adaptive online state-of-charge determination based on neuro-controller and neural network" @default.
- W2020444034 cites W1975209327 @default.
- W2020444034 cites W1989129674 @default.
- W2020444034 cites W1991066217 @default.
- W2020444034 cites W1991286210 @default.
- W2020444034 cites W2023670992 @default.
- W2020444034 cites W2050591158 @default.
- W2020444034 cites W2068783857 @default.
- W2020444034 cites W2079352208 @default.
- W2020444034 cites W2083760881 @default.
- W2020444034 cites W2140123645 @default.
- W2020444034 cites W2162945380 @default.
- W2020444034 doi "https://doi.org/10.1016/j.enconman.2009.12.015" @default.
- W2020444034 hasPublicationYear "2010" @default.
- W2020444034 type Work @default.
- W2020444034 sameAs 2020444034 @default.
- W2020444034 citedByCount "106" @default.
- W2020444034 countsByYear W20204440342012 @default.
- W2020444034 countsByYear W20204440342013 @default.
- W2020444034 countsByYear W20204440342014 @default.
- W2020444034 countsByYear W20204440342015 @default.
- W2020444034 countsByYear W20204440342016 @default.
- W2020444034 countsByYear W20204440342017 @default.
- W2020444034 countsByYear W20204440342018 @default.
- W2020444034 countsByYear W20204440342019 @default.
- W2020444034 countsByYear W20204440342020 @default.
- W2020444034 countsByYear W20204440342021 @default.
- W2020444034 countsByYear W20204440342022 @default.
- W2020444034 countsByYear W20204440342023 @default.
- W2020444034 crossrefType "journal-article" @default.
- W2020444034 hasAuthorship W2020444034A5076097045 @default.
- W2020444034 hasConcept C121332964 @default.
- W2020444034 hasConcept C127413603 @default.
- W2020444034 hasConcept C133731056 @default.
- W2020444034 hasConcept C154945302 @default.
- W2020444034 hasConcept C163258240 @default.
- W2020444034 hasConcept C172205157 @default.
- W2020444034 hasConcept C203479927 @default.
- W2020444034 hasConcept C2775924081 @default.
- W2020444034 hasConcept C2776582896 @default.
- W2020444034 hasConcept C41008148 @default.
- W2020444034 hasConcept C47116090 @default.
- W2020444034 hasConcept C47446073 @default.
- W2020444034 hasConcept C50644808 @default.
- W2020444034 hasConcept C536315585 @default.
- W2020444034 hasConcept C555008776 @default.
- W2020444034 hasConcept C62520636 @default.
- W2020444034 hasConcept C6557445 @default.
- W2020444034 hasConcept C86803240 @default.
- W2020444034 hasConceptScore W2020444034C121332964 @default.
- W2020444034 hasConceptScore W2020444034C127413603 @default.
- W2020444034 hasConceptScore W2020444034C133731056 @default.
- W2020444034 hasConceptScore W2020444034C154945302 @default.
- W2020444034 hasConceptScore W2020444034C163258240 @default.
- W2020444034 hasConceptScore W2020444034C172205157 @default.
- W2020444034 hasConceptScore W2020444034C203479927 @default.
- W2020444034 hasConceptScore W2020444034C2775924081 @default.
- W2020444034 hasConceptScore W2020444034C2776582896 @default.
- W2020444034 hasConceptScore W2020444034C41008148 @default.
- W2020444034 hasConceptScore W2020444034C47116090 @default.
- W2020444034 hasConceptScore W2020444034C47446073 @default.
- W2020444034 hasConceptScore W2020444034C50644808 @default.
- W2020444034 hasConceptScore W2020444034C536315585 @default.
- W2020444034 hasConceptScore W2020444034C555008776 @default.
- W2020444034 hasConceptScore W2020444034C62520636 @default.
- W2020444034 hasConceptScore W2020444034C6557445 @default.
- W2020444034 hasConceptScore W2020444034C86803240 @default.
- W2020444034 hasIssue "5" @default.
- W2020444034 hasLocation W20204440341 @default.
- W2020444034 hasOpenAccess W2020444034 @default.
- W2020444034 hasPrimaryLocation W20204440341 @default.
- W2020444034 hasRelatedWork W1551671724 @default.
- W2020444034 hasRelatedWork W2002991661 @default.
- W2020444034 hasRelatedWork W2047074265 @default.
- W2020444034 hasRelatedWork W2090274084 @default.
- W2020444034 hasRelatedWork W2098054711 @default.
- W2020444034 hasRelatedWork W2130562287 @default.
- W2020444034 hasRelatedWork W2615455024 @default.
- W2020444034 hasRelatedWork W2968620889 @default.
- W2020444034 hasRelatedWork W3113899116 @default.
- W2020444034 hasRelatedWork W314487974 @default.
- W2020444034 hasVolume "51" @default.
- W2020444034 isParatext "false" @default.
- W2020444034 isRetracted "false" @default.
- W2020444034 magId "2020444034" @default.
- W2020444034 workType "article" @default.