Prediction-Based Fast Simulation with a Lightweight Solver for EV Batteries
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kyung, Donggu | - |
dc.contributor.author | Joe, Inwhee | - |
dc.date.accessioned | 2022-07-09T07:32:40Z | - |
dc.date.available | 2022-07-09T07:32:40Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2019-09 | - |
dc.identifier.issn | 2194-5357 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147167 | - |
dc.description.abstract | In this paper, we propose a fast simulation method using a lightweight solver for EV batteries. In CPS, the simulation time should be reduced for real-time simulation by minimizing the overhead. In order to reduce the simulation time, the number of simulation steps needs to be decreased by a variable step size. To control the step size, a lightweight solver is introduced to predict the event as soon as possible before actual simulation. Through the prediction, a large step size can be used if there is no event, while a small step size can be used if there is an event. The simulation results show that our prediction-based method reduces the simulation time significantly, compared to the conventional non-prediction-based method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.title | Prediction-Based Fast Simulation with a Lightweight Solver for EV Batteries | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Joe, Inwhee | - |
dc.identifier.doi | 10.1007/978-3-030-30329-7_34 | - |
dc.identifier.scopusid | 2-s2.0-85075614530 | - |
dc.identifier.wosid | 000564759600034 | - |
dc.identifier.bibliographicCitation | Advances in Intelligent Systems and Computing, v.1046, pp.385 - 392 | - |
dc.relation.isPartOf | Advances in Intelligent Systems and Computing | - |
dc.citation.title | Advances in Intelligent Systems and Computing | - |
dc.citation.volume | 1046 | - |
dc.citation.startPage | 385 | - |
dc.citation.endPage | 392 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | Application programs | - |
dc.subject.keywordPlus | Computational methods | - |
dc.subject.keywordPlus | Electric batteries | - |
dc.subject.keywordPlus | Intelligent systems | - |
dc.subject.keywordPlus | EV battery | - |
dc.subject.keywordPlus | Fast simulation | - |
dc.subject.keywordPlus | Fast simulation methods | - |
dc.subject.keywordPlus | Lightweight solver | - |
dc.subject.keywordPlus | Prediction-based | - |
dc.subject.keywordPlus | Real time simulations | - |
dc.subject.keywordPlus | Simulation time | - |
dc.subject.keywordPlus | Variable step size | - |
dc.subject.keywordPlus | Forecasting | - |
dc.subject.keywordAuthor | CPS | - |
dc.subject.keywordAuthor | EV battery | - |
dc.subject.keywordAuthor | Fast simulation | - |
dc.subject.keywordAuthor | FMI | - |
dc.subject.keywordAuthor | Lightweight solver | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-030-30329-7_34 | - |
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