Isaac Liu, Edward A. Lee, M. Viele, Guoqiang Wang, H. Andrade
{"title":"A Heterogeneous Architecture for Evaluating Real-Time One-Dimensional Computational Fluid Dynamics on FPGAs","authors":"Isaac Liu, Edward A. Lee, M. Viele, Guoqiang Wang, H. Andrade","doi":"10.1109/FCCM.2012.31","DOIUrl":null,"url":null,"abstract":"Many fuel systems for diesel engines are developed with the help of commercial one-dimensional computational fluid dynamics (1D CFD) solvers that model and simulate the behavior of fluid flow through the interconnected pipes off-line. This paper presents a novel framework to evaluate 1D CFD models in real time on an FPGA. This improves fuel pressure estimation and closes the loop on fuel delivery, allowing for a cleaner and more efficient engine. The real-time requirements of the models are defined by the physics and geometry of the problem being solved. In this framework, the interconnected pipes are partitioned into individual sub-volumes that compute their pressure and flow rate every time step based upon neighboring values. We use timing-based synchronization and multiple Precision Timed (PRET) processor cores to ensure the real-time constraints are met. Leveraging the programmability of FPGAs, we use a configurable heterogeneous architecture to save hardware resources. Several examples are presented along with the implementation results after place and route for a Xilinx Virtex 6 FPGA. The results demonstrate the resource savings and scalability of our framework, confirming the feasibility of our approach -- solving 1D CFD models in real time on FPGAs.","PeriodicalId":226197,"journal":{"name":"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2012.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Many fuel systems for diesel engines are developed with the help of commercial one-dimensional computational fluid dynamics (1D CFD) solvers that model and simulate the behavior of fluid flow through the interconnected pipes off-line. This paper presents a novel framework to evaluate 1D CFD models in real time on an FPGA. This improves fuel pressure estimation and closes the loop on fuel delivery, allowing for a cleaner and more efficient engine. The real-time requirements of the models are defined by the physics and geometry of the problem being solved. In this framework, the interconnected pipes are partitioned into individual sub-volumes that compute their pressure and flow rate every time step based upon neighboring values. We use timing-based synchronization and multiple Precision Timed (PRET) processor cores to ensure the real-time constraints are met. Leveraging the programmability of FPGAs, we use a configurable heterogeneous architecture to save hardware resources. Several examples are presented along with the implementation results after place and route for a Xilinx Virtex 6 FPGA. The results demonstrate the resource savings and scalability of our framework, confirming the feasibility of our approach -- solving 1D CFD models in real time on FPGAs.