Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315783623> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4315783623 endingPage "126701" @default.
- W4315783623 startingPage "126701" @default.
- W4315783623 abstract "Accurately estimating the operational performance of electric coolant pump (ECP) can support long-term sensorless operational monitoring and reduce the cost and energy consumption of a vehicle thermal management system. However, there are some problems such as low estimation precision of theoretical model and back propagation neural network (BPNN) models, and the input parameters of existing studies are difficult to obtain at the ECP. In this study, a novel ISSA-BPNN estimation model is proposed that combines a hybrid strategy improved sparrow search algorithm (SSA) with the BPNN after hyperparameter optimization, and for the first time analyzes and uses the total power easily obtained as the input data of the model. Multiple experimental results show that the estimation precision and reliability of the proposed ISSA-BPNN model are much higher than those of the present theoretical models and BPNN methods. The average training time of the proposed ISSA-BPNN model is 226.9 s, and the average real-time operation time is about 5 ms, which meets the real-time application requirements. The proposed model is also applicable to the operational state estimation of other types of integrated pumps." @default.
- W4315783623 created "2023-01-13" @default.
- W4315783623 creator A5014473912 @default.
- W4315783623 creator A5029650789 @default.
- W4315783623 creator A5047752659 @default.
- W4315783623 creator A5048817987 @default.
- W4315783623 creator A5061139836 @default.
- W4315783623 creator A5082069048 @default.
- W4315783623 creator A5087149274 @default.
- W4315783623 date "2023-04-01" @default.
- W4315783623 modified "2023-09-24" @default.
- W4315783623 title "Operational performance estimation of vehicle electric coolant pump based on the ISSA-BP neural network" @default.
- W4315783623 cites W2014555413 @default.
- W4315783623 cites W2028156933 @default.
- W4315783623 cites W2033818172 @default.
- W4315783623 cites W2082450742 @default.
- W4315783623 cites W2083835273 @default.
- W4315783623 cites W2117938463 @default.
- W4315783623 cites W2156908589 @default.
- W4315783623 cites W2289344345 @default.
- W4315783623 cites W2325458978 @default.
- W4315783623 cites W2500878154 @default.
- W4315783623 cites W2752374765 @default.
- W4315783623 cites W2807536474 @default.
- W4315783623 cites W2903090909 @default.
- W4315783623 cites W2913151244 @default.
- W4315783623 cites W2958056450 @default.
- W4315783623 cites W2998553334 @default.
- W4315783623 cites W3043419812 @default.
- W4315783623 cites W3091409475 @default.
- W4315783623 cites W3094099748 @default.
- W4315783623 cites W3124568120 @default.
- W4315783623 cites W3127157953 @default.
- W4315783623 cites W3154423375 @default.
- W4315783623 cites W3157809314 @default.
- W4315783623 cites W3157996676 @default.
- W4315783623 cites W3190650140 @default.
- W4315783623 cites W3195748330 @default.
- W4315783623 cites W3215060105 @default.
- W4315783623 cites W4200424361 @default.
- W4315783623 cites W4200606079 @default.
- W4315783623 cites W4206607874 @default.
- W4315783623 cites W4212822087 @default.
- W4315783623 cites W4225249739 @default.
- W4315783623 cites W4292308231 @default.
- W4315783623 doi "https://doi.org/10.1016/j.energy.2023.126701" @default.
- W4315783623 hasPublicationYear "2023" @default.
- W4315783623 type Work @default.
- W4315783623 citedByCount "1" @default.
- W4315783623 countsByYear W43157836232023 @default.
- W4315783623 crossrefType "journal-article" @default.
- W4315783623 hasAuthorship W4315783623A5014473912 @default.
- W4315783623 hasAuthorship W4315783623A5029650789 @default.
- W4315783623 hasAuthorship W4315783623A5047752659 @default.
- W4315783623 hasAuthorship W4315783623A5048817987 @default.
- W4315783623 hasAuthorship W4315783623A5061139836 @default.
- W4315783623 hasAuthorship W4315783623A5082069048 @default.
- W4315783623 hasAuthorship W4315783623A5087149274 @default.
- W4315783623 hasConcept C121332964 @default.
- W4315783623 hasConcept C127413603 @default.
- W4315783623 hasConcept C154945302 @default.
- W4315783623 hasConcept C163258240 @default.
- W4315783623 hasConcept C41008148 @default.
- W4315783623 hasConcept C43214815 @default.
- W4315783623 hasConcept C50644808 @default.
- W4315783623 hasConcept C62520636 @default.
- W4315783623 hasConcept C8642999 @default.
- W4315783623 hasConceptScore W4315783623C121332964 @default.
- W4315783623 hasConceptScore W4315783623C127413603 @default.
- W4315783623 hasConceptScore W4315783623C154945302 @default.
- W4315783623 hasConceptScore W4315783623C163258240 @default.
- W4315783623 hasConceptScore W4315783623C41008148 @default.
- W4315783623 hasConceptScore W4315783623C43214815 @default.
- W4315783623 hasConceptScore W4315783623C50644808 @default.
- W4315783623 hasConceptScore W4315783623C62520636 @default.
- W4315783623 hasConceptScore W4315783623C8642999 @default.
- W4315783623 hasFunder F4320321001 @default.
- W4315783623 hasFunder F4320324173 @default.
- W4315783623 hasLocation W43157836231 @default.
- W4315783623 hasOpenAccess W4315783623 @default.
- W4315783623 hasPrimaryLocation W43157836231 @default.
- W4315783623 hasRelatedWork W2156112973 @default.
- W4315783623 hasRelatedWork W2165174078 @default.
- W4315783623 hasRelatedWork W2374927173 @default.
- W4315783623 hasRelatedWork W2375484015 @default.
- W4315783623 hasRelatedWork W2381812156 @default.
- W4315783623 hasRelatedWork W2386387936 @default.
- W4315783623 hasRelatedWork W2899084033 @default.
- W4315783623 hasRelatedWork W3099966684 @default.
- W4315783623 hasRelatedWork W4293115678 @default.
- W4315783623 hasRelatedWork W4313854490 @default.
- W4315783623 hasVolume "268" @default.
- W4315783623 isParatext "false" @default.
- W4315783623 isRetracted "false" @default.
- W4315783623 workType "article" @default.