​The Virtual Vehicle Showcase Model demonstrates the integration of various automotive-focused simulation tools, including: Powertrain Blockset, Vehicle Dynamics Blockset, Simscape, and Automated Driving Toolbox.

An earlier version of this model was showcased last year to highlight our work an control algorithms that extend beyond the academic and move toward those automotive engineers are interested in. Specifically, a hybrid-electric vehicle (HEV) “P4” powertrain is modeled using Powertrain Blockset and controlled using an analytical instantaneous optimization method known as equivalent consumption minimization strategy (ECMS). The P4 architecture uses two electric machines, one on each rear wheel, which enables torque vectoring capability to send different torque through the right and left side of the vehicle. Using Vehicle Dynamics Blockset and a custom controller, the model can demonstrate improved vehicle handling using torque vectoring. A “one pedal driving” control algorithm remaps the accelerator pedal to be used for both acceleration and regenerative braking. This is used with the driver-in-the-loop simulator with a Logitech steering wheel and pedals. SAE Level 2 perception system design work from EcoCAR was integrated into the model and utilizes adaptive cruise control and lane-keep assist control algorithms from Automated Driving Toolbox and Model Predictive Control Toolbox using the high-fidelity vehicle dynamics model.

A Simscape-based fuel cell network was integrated into the virtual vehicle model as a powertrain variant. This model uses a custom fuel cell stack model and is coupled with Simscape fluid, thermal, and electrical domains to provide power to the drivetrain. This variant shows the flexibility of using Simscape to develop physics-driven modeling and the reference applications in Powertrain Blockset to rapidly develop full powertrain models.

A detailed Simscape battery capable of capturing thermal effects of the battery has also been added. This model has two variants for evaluating the thermal efficacy of the different networks on the component level as well as system level. Coupled with the much-circulated battery management system, this model is appropriate for multiple discussions around battery modeling, system integration, and HIL deployment.

Target customers for this demo include vehicle OEMs, automotive component suppliers, or ADAS/automated driving research/startup companies. The Virtual Vehicle Showcase Model enables customers to adopt Model-Based Design and see the full capability of our automotive products.