Model Based Development
Due to the increasing complexity of today’s and future powertrains, Model Based Development, combining the virtual and real worlds, is the key to gaining a deeper understanding of the overall system with the target of optimizing it. AVL’s model-based development methodology stands out through the consistent usage of system simulation from concept to in-use system monitoring. It addresses conventional as well as electrified and purely electric powertrains.
High-quality system models enable the frontloading of development tasks from the road to the testbed to the office. This means that more work can be done in the virtual world, significantly reducing costs and development time.
Model-Based Control Function Development
The concept of AVL CRUISE™ M allows the setup of models on component, sub-system or entire system level for developing individual control functions of the overall powertrain or single parts like engine or transmission. The availability of high-fidelity physical models of all key components enables the detailed investigation of influencing parameters on the major powertrain parts.
The highly scalable and modular modeling concept of AVL CRUISE™ M allows for the setup of sub-systems or entire powertrain systems on different levels of detail, such as mean-value or crank-angle resolved approaches.
Its easy adjustment to changing boundary conditions (altitude conditions, RDE requirements, etc.) enables the efficient usage for engine control functions development for conventional as well as for HEV powertrains.
AVL CRUISE™ M combined with MOBEO (Model Based Engine Optimization) unifies the strength of physical and empirical modelling techniques for powertrains containing an IC engine. Powered by its predictive empirical cylinder and Exhaust Aftertreatment System modules, engineers can rely on AVL’s unmatched solution.
AVL CRUISE™ M delivers ideal system plant models to support all major sub-system test applications such as Engine, Battery and E-Motor testbed.
The consideration of proper system boundary conditions allows component testing under realistic transient operating conditions.