SAE Technical Paper Series 2002
DOI: 10.4271/2002-01-0627
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of Transient Drive Cycles using CRUISE-BOOST Co-Simulation Techniques

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2007
2007
2017
2017

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 20 publications
(3 citation statements)
references
References 5 publications
0
3
0
Order By: Relevance
“…The previous version of the virtual engine simulator which is named as BOOST is used for the analysis of transient drive cycles in [17]. In our work we use the BOOST RT itself which is a real-time capable simulation tool with dedicated numerical solvers for explicit constant time step and implicit adaptive time step integration.…”
Section: High Fidelity Engine Modelmentioning
confidence: 99%
“…The previous version of the virtual engine simulator which is named as BOOST is used for the analysis of transient drive cycles in [17]. In our work we use the BOOST RT itself which is a real-time capable simulation tool with dedicated numerical solvers for explicit constant time step and implicit adaptive time step integration.…”
Section: High Fidelity Engine Modelmentioning
confidence: 99%
“…Simulating the component models with the boundary conditions of the test, the corresponding Reynolds number and the corresponding Nusselt number can be calculated from the flow conditions and the calculated cooling power. The coefficients C 1 and C 2 in equation (12) were then found by linear regression over a number of the available measurement points and replaced in the models. The models were then verified by comparing the simulations and the test results for the remaining measurement points.…”
Section: Modelling the Refrigeration Circuitmentioning
confidence: 99%
“…Therefore, co-simulation methods are becoming increasingly popular in systemlevel simulations. [10][11][12] The compromise between higher fidelity but slower models and lower fidelity but faster models still remains and should be addressed according to the specific application of the model and verification against the experimental data.…”
Section: Introductionmentioning
confidence: 99%