Long Short-Term Memory–Model Predictive Control Speed Prediction-Based Double Deep Q-Network Energy...
Long Short-Term Memory–Model Predictive Control Speed Prediction-Based Double Deep Q-Network Energy Management for Hybrid Electric Vehicle to Enhanced Fuel Economy
About this item
Full title
Author / Creator
Liu, Haichao , Wang, Hongliang , Yu, Miao , Wang, Yaolin and Luo, Yang
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
How to further improve the fuel economy and emission performance of hybrid vehicles through scientific and reasonable energy management strategies has become an urgent issue to be addressed at present. This paper proposes an energy management model based on speed prediction using Long Short-Term Memory (LSTM) neural networks. The initial learning r...
Alternative Titles
Full title
Long Short-Term Memory–Model Predictive Control Speed Prediction-Based Double Deep Q-Network Energy Management for Hybrid Electric Vehicle to Enhanced Fuel Economy
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4be68d803cb44eabab2af2dad4aef570
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4be68d803cb44eabab2af2dad4aef570
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25092784
