Leading automotive companies worldwide rely on Modelon products and expertise for a wide range of applications, from performance improvements of Formula 1 cars to reducing fuel consumption for heavy vehicles. Modelon is well-represented in the following industry segments:
- Car and light trucks
- Race cars
- Automotive industry suppliers
- Trucks and buses
- Other transportation, such as trains
Active Safety and Limit Handling
Modelon has comprehensive experience in reproducing and predicting the impact of Advanced Driver Assistance Systems (ADAS) on vehicle dynamic behavior using simulation and testing. Our engineers provide models, often based on the Vehicle Dynamics Library, as well as services and training to automotive OEMs around the world.
Aside from the driver’s skills and the team’s ability to respond to live on-track challenges, success in motorsports is defined by configuration management: Determining the best configuration to achieve maximum performance in how a vehicle behaves and responds to the driver, competitors and on-track and weather-related conditions.
Real-time and Simulators
Driver-in-the-loop (DIL) simulation is used extensively among the F1 teams and NASCAR manufacturers and is becoming more widespread among automotive OEMs and Tier 1 suppliers. Modelon’s Vehicle Dynamics Library allows vehicle models with more than 150 degrees of freedom to be deployed in driver-in-the-loop simulators. Suspensions are modeled in detail, including individual bushings and other deformable components.
Vehicle Thermal Management
Design engineers in the automotive industry often face complex, multi-domain interactions between the vehicle’s physical and control systems, especially when it comes to vehicle thermal management. Whether it’s an analysis of cabin or engine thermal management or another of those endless studies on fuel efficiency, automotive engineers can benefit from a model-based system engineering (MBSE) approach using Dymola and Modelica libraries.
Hybrid and Future Vehicles
Modelon helps companies such as Toyota use Dymola and the Vehicle Dynamics Library to develop future vehicle concepts.
Toyota’s new personal mobility concepts have significantly different properties compared to conventional vehicles, making it essential to use a model-based design approach. The required models are developed based on the Vehicle Dynamics Library to enable multi-fidelity and multi-domain representations with tight integration in the control design tool-chain. The same models are used to design and predict the behavior of the studied concepts, especially the influence of the suspension design, and to design the control systems.
Tire Modeling and Simulation with Modelica Delft – Tyre Interface
The Modelica Delft-Tyre Interface makes industry-standard tire models from TNO available for Modelica tools.
The interface works with the widely recognized and extensively validated MF-Tyre and MF-Swift models for vehicle dynamics handling and ride analysis. It is compatible with Delft-Tyre version 184.108.40.206.
Multi-Domain Vehicle Dynamics Simulation
Battery electric and hybrid electric drives will be a prominent feature of future cars. Increasingly, subsystems such as the steering and braking system will be based on electric power supply. This leads to new challenges as well as opportunities in the field of vehicle dynamics.
Modelon provides tools and services to manufacturers such as Audi that help them combine multi-body-based vehicle dynamics models with models of the electric and control systems.
Active safety research at Volvo Cars
In a collaboration between Volvo Car Corporation and Royal Institute of Technology, Modelon’s solutions have been used to evaluate the potential to improve safety and performance through new ways of actuating and controlling vehicle handling dynamics, especially under limit conditions.
In this work, two types of Modelica models have been used. The first, a full multi-body representation of an XC90, is used for virtual evaluation of the designs through simulation. It is implemented using the Vehicle Dynamics Library and is thoroughly validated against measurement data. This model gives a detailed response of each actuator input, and it is possible to evaluate high-fidelity response of driver and controller actions.
The second model is a low fidelity model used for dynamic optimization. Using the OPTIMICA Compiler Toolkit tool, the Modelica model is compiled into code that is solved by state of the art optimization solvers. With this setup the researchers find the optimal trajectories and control outputs for a given vehicle configuration. This allows to make early assessment of the expected performance gain when choosing between plausible configurations.
The video below shows how the distance needed to avoid an emerging car shortens as you add more actuation.
Energy & Process
Academia & Research