Explore More, Decide Faster
Support for optimization and DOE to sweep vehicle topologies and maneuvers and optimize components and vehicle control.
Solutions
Vehicle Modeling Framework Simulation
GT-DRIVE+ is the next generation vehicle modeling framework built into
GT-SUITE
Solution Overview
Comprehensive Vehicle Simulation Capabilities
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.
Application Highlights
Vehicle Modeling and Simulation Platform
- 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.
Advanced Features
Scalable, Collaborative Vehicle Modeling
Powerful tools and integrated workflows enable engineers to build, manage, and analyze vehicle models while improving consistency, traceability, and simulation efficiency.
Parallel Execution at Scale
Access to distributed computing to parallelize test cases and vehicle runs.
Seamless Data Management Across the Enterprise
Manage data with supported PLM toolchain integration.
From Simulation to Hardware-in-the-Loop
Deploy GT-DRIVE+ models on all major HiL systems.
One Model, Many Departments
Convert GT DRIVE+ models to standard GT SUITE models for straightforward sharing with powertrain, thermal, controls, and other simulation groups, eliminating duplication and improving cross functional collaboration.
Configurable by Experts, Accessible to All
Convert GT-DRIVE+ model to GT-SUITE model for easy model sharing with other simulation departments
Vehicle Modeling Framework FAQs
Find answers to common questions about the Vehicle Modeling Framework and its capabilities.
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What types of vehicles can be modeled in GT-DRIVE+?
It supports the full spectrum of vehicle architectures, including conventional, commercial, hybrid, plug-in hybrid, battery electric, and fuel cell electric vehicles. The platform is built to handle increasing complexity, including advanced electrification and thermal management requirements, so engineers aren’t constrained as vehicle programs evolve.
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How does GT-DRIVE+ fit into a larger simulation organization?
Models convert directly into GT-SUITE, so work can be shared with powertrain, thermal, controls, and other teams without rebuilding from scratch. It also integrates with supported PLM toolchains, giving organizations a structured way to manage simulation data and maintain traceability across programs.
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Can GT-DRIVE+ models be used for hardware-in-the-loop testing?
Yes. Models are deployable on all major HiL systems, giving teams a direct and consistent path from virtual development to hardware validation, with no need to rebuild or reformat models when moving between simulation and physical test environments.
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How does GT-DRIVE+ help teams manage large-scale simulation studies efficiently?
Access to distributed computing lets teams run multiple test cases and vehicle configurations in parallel instead of sequentially. Combined with built in support for optimization and DOE, engineers can sweep vehicle topologies, maneuvers, and control strategies systematically to reach confident decisions faster.
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