GT-DRIVE+ Next Generation Vehicle Modeling Framework
GT-DRIVE+ is the next generation vehicle modeling framework built into GT-SUITE. It has been specifically designed for use by vehicle simulation engineers to efficiently model any type of vehicle, including conventional, commercial, hybrid, plug-in hybrid, battery, and fuel cell electric vehicles.
GT-DRIVE+ focuses on creating a streamlined workflow to quickly and easily generate results for vehicle performance, fuel consumption, emissions, and energy management. GT-DRIVE+ addresses key challenges and objectives facing vehicle teams, such as:
- Handles increasing vehicle complexity including electrification
- Accounts for thermal management and real driving emissions
- Addresses team organization and the expanding need for vehicle analysis
- Improves simulation efficiency and traceability through standardization, automation, and data management features
Together, these capabilities allow GT-DRIVE+ to provide a singular path from vehicle concept design to final system integration.
- Model conventional vehicles and electrified vehicles
- Create standardized component databases, new vehicle architectures, test cases, and result outputs
- Open framework which empowers experts to create streamlined, customized workflows for end users
- Customized model-builder to quickly and accurately build standardized vehicle models
- Intuitive, powerful tabular interface for managing model data and vehicle test cases
- Embed advanced GT-SUITE physics submodels, as black boxes, to account for vehicle cooling, GT-POWER fast running engine models, exhaust aftertreatment models, and others.
- Support for optimization and DOE to sweep vehicle topologies and maneuvers and optimize components and vehicle control
- Access to distributed computing to parallelize test cases and vehicle runs
- Manage data with supported PLM toolchain integration
- Deploy GT-DRIVE+ models on all major HiL systems
- Convert GT-DRIVE+ model to GT-SUITE model for easy model sharing with other simulation departments