Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조인휘 | - |
dc.date.accessioned | 2020-09-14T05:25:37Z | - |
dc.date.available | 2020-09-14T05:25:37Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.citation | Advances in Intelligent Systems and Computing, v. 1046, Page. 385-392 | en_US |
dc.identifier.isbn | 978-3-030-30329-7 | - |
dc.identifier.issn | 2194-5357 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007%2F978-3-030-30329-7_34 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/153864 | - |
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. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NO. 2019R1A2C1009894). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | EV battery | en_US |
dc.subject | CPS | en_US |
dc.subject | FMI | en_US |
dc.subject | Lightweight solver | en_US |
dc.subject | Fast simulation | en_US |
dc.title | Prediction-based Fast Simulation with a Lightweight Solver for EV Batteries | en_US |
dc.type | Article | en_US |
dc.relation.volume | 1046 | - |
dc.identifier.doi | 10.1007/978-3-030-30329-7_34 | - |
dc.relation.page | 385-392 | - |
dc.relation.journal | Advances in Intelligent Systems and Computing | - |
dc.contributor.googleauthor | Kyung, Donggu | - |
dc.contributor.googleauthor | Joe, Inwhee | - |
dc.relation.code | 2019009571 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | iwjoe | - |
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