Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386233208> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4386233208 endingPage "1" @default.
- W4386233208 startingPage "1" @default.
- W4386233208 abstract "The climate-adaptive energy management system holds promising potential for harnessing the concealed energy-saving capabilities of connected plug-in hybrid electric vehicles. This research focuses on exploring the synergistic effects of artificial intelligence control and traffic preview to enhance the performance of the energy management system (EMS). A high-fidelity model of a multi-mode connected PHEV is calibrated using experimental data as a foundation. Subsequently, a model-free multistate deep reinforcement learning (DRL) algorithm is proposed to develop the integrated thermal and energy management (ITEM) system, incorporating features of engine smart warm-up and engine-assisted heating for cold climate conditions. The optimality and adaptability of the proposed system is evaluated through both offline tests and online hardware-in-the-loop tests, encompassing a homologation driving cycle and a real-world driving cycle in China with real-time traffic data. The results demonstrate that ITEM achieves a close to dynamic programming fuel economy performance with a margin of 93.7%, while reducing fuel consumption ranging from 2.2% to 9.6% as ambient temperature decreases from 15°C to -15°C in comparison to state-of-the-art DRL-based EMS solutions." @default.
- W4386233208 created "2023-08-29" @default.
- W4386233208 creator A5005905301 @default.
- W4386233208 creator A5010440925 @default.
- W4386233208 creator A5011590578 @default.
- W4386233208 creator A5051378169 @default.
- W4386233208 creator A5066634214 @default.
- W4386233208 creator A5081701854 @default.
- W4386233208 date "2023-01-01" @default.
- W4386233208 modified "2023-09-27" @default.
- W4386233208 title "Integrated Thermal and Energy Management of Connected Hybrid Electric Vehicles Using Deep Reinforcement Learning" @default.
- W4386233208 doi "https://doi.org/10.1109/tte.2023.3309396" @default.
- W4386233208 hasPublicationYear "2023" @default.
- W4386233208 type Work @default.
- W4386233208 citedByCount "0" @default.
- W4386233208 crossrefType "journal-article" @default.
- W4386233208 hasAuthorship W4386233208A5005905301 @default.
- W4386233208 hasAuthorship W4386233208A5010440925 @default.
- W4386233208 hasAuthorship W4386233208A5011590578 @default.
- W4386233208 hasAuthorship W4386233208A5051378169 @default.
- W4386233208 hasAuthorship W4386233208A5066634214 @default.
- W4386233208 hasAuthorship W4386233208A5081701854 @default.
- W4386233208 hasConcept C105795698 @default.
- W4386233208 hasConcept C119857082 @default.
- W4386233208 hasConcept C121332964 @default.
- W4386233208 hasConcept C127413603 @default.
- W4386233208 hasConcept C154945302 @default.
- W4386233208 hasConcept C163258240 @default.
- W4386233208 hasConcept C169042556 @default.
- W4386233208 hasConcept C171146098 @default.
- W4386233208 hasConcept C177606310 @default.
- W4386233208 hasConcept C186370098 @default.
- W4386233208 hasConcept C18903297 @default.
- W4386233208 hasConcept C2776422217 @default.
- W4386233208 hasConcept C33923547 @default.
- W4386233208 hasConcept C41008148 @default.
- W4386233208 hasConcept C44154836 @default.
- W4386233208 hasConcept C62520636 @default.
- W4386233208 hasConcept C774472 @default.
- W4386233208 hasConcept C7817414 @default.
- W4386233208 hasConcept C79403827 @default.
- W4386233208 hasConcept C86803240 @default.
- W4386233208 hasConcept C97541855 @default.
- W4386233208 hasConceptScore W4386233208C105795698 @default.
- W4386233208 hasConceptScore W4386233208C119857082 @default.
- W4386233208 hasConceptScore W4386233208C121332964 @default.
- W4386233208 hasConceptScore W4386233208C127413603 @default.
- W4386233208 hasConceptScore W4386233208C154945302 @default.
- W4386233208 hasConceptScore W4386233208C163258240 @default.
- W4386233208 hasConceptScore W4386233208C169042556 @default.
- W4386233208 hasConceptScore W4386233208C171146098 @default.
- W4386233208 hasConceptScore W4386233208C177606310 @default.
- W4386233208 hasConceptScore W4386233208C186370098 @default.
- W4386233208 hasConceptScore W4386233208C18903297 @default.
- W4386233208 hasConceptScore W4386233208C2776422217 @default.
- W4386233208 hasConceptScore W4386233208C33923547 @default.
- W4386233208 hasConceptScore W4386233208C41008148 @default.
- W4386233208 hasConceptScore W4386233208C44154836 @default.
- W4386233208 hasConceptScore W4386233208C62520636 @default.
- W4386233208 hasConceptScore W4386233208C774472 @default.
- W4386233208 hasConceptScore W4386233208C7817414 @default.
- W4386233208 hasConceptScore W4386233208C79403827 @default.
- W4386233208 hasConceptScore W4386233208C86803240 @default.
- W4386233208 hasConceptScore W4386233208C97541855 @default.
- W4386233208 hasFunder F4320326925 @default.
- W4386233208 hasLocation W43862332081 @default.
- W4386233208 hasOpenAccess W4386233208 @default.
- W4386233208 hasPrimaryLocation W43862332081 @default.
- W4386233208 hasRelatedWork W2062744375 @default.
- W4386233208 hasRelatedWork W2142295061 @default.
- W4386233208 hasRelatedWork W2155371305 @default.
- W4386233208 hasRelatedWork W2179955997 @default.
- W4386233208 hasRelatedWork W2207420667 @default.
- W4386233208 hasRelatedWork W2348955467 @default.
- W4386233208 hasRelatedWork W2351726522 @default.
- W4386233208 hasRelatedWork W2620830623 @default.
- W4386233208 hasRelatedWork W2909382816 @default.
- W4386233208 hasRelatedWork W3160732423 @default.
- W4386233208 isParatext "false" @default.
- W4386233208 isRetracted "false" @default.
- W4386233208 workType "article" @default.