Model Architecture, Methods, and Interfaces for Efficient Math-Based Design and Simulation of Automotive Control Systems

2010-01-0241

04/12/2010

Event
SAE 2010 World Congress & Exhibition
Authors Abstract
Content
Many of today's automotive control system simulation tools are suitable for simulation, but they provide rather limited support for model building and management. Setting up a simulation model requires more than writing down state equations and running them on a computer. The role of a model library is to manage the models of physical components of the system and allow users to share and easily reuse them. In this paper, we describe how modern software techniques can be used to support modeling and design activities; the objective is to provide better system models in less time by assembling these system models in a “plug-and-play” architecture. With the introduction of hybrid electric vehicles, the number of components that can populate a model has increased considerably, and more components translate into more possible drivetrain configurations. To address these needs, we explain how users can simulate a large number of drivetrain configurations. The proposed approach could be used to establish standards within the automotive modeling community.
Meta TagsDetails
DOI
https://doi.org/10.4271/2010-01-0241
Pages
11
Citation
Halbach, S., Sharer, P., Pagerit, S., Rousseau, A. et al., "Model Architecture, Methods, and Interfaces for Efficient Math-Based Design and Simulation of Automotive Control Systems," SAE Technical Paper 2010-01-0241, 2010, https://doi.org/10.4271/2010-01-0241.
Additional Details
Publisher
Published
Apr 12, 2010
Product Code
2010-01-0241
Content Type
Technical Paper
Language
English