Prediction-based Fast Simulation with a Lightweight Solver for EV Batteries
- Title
- Prediction-based Fast Simulation with a Lightweight Solver for EV Batteries
- Author
- 조인휘
- Keywords
- EV battery; CPS; FMI; Lightweight solver; Fast simulation
- Issue Date
- 2019-09
- Publisher
- Springer
- Citation
- Advances in Intelligent Systems and Computing, v. 1046, Page. 385-392
- 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.
- URI
- https://link.springer.com/chapter/10.1007%2F978-3-030-30329-7_34https://repository.hanyang.ac.kr/handle/20.500.11754/153864
- ISBN
- 978-3-030-30329-7
- ISSN
- 2194-5357
- DOI
- 10.1007/978-3-030-30329-7_34
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML