This paper describes a model-driven approach to support heat monitoring and predictive maintenance of an automotive braking system. This approach includes the creation of a simulation-based digital twin, or numerical model, that combines different modeling formalisms into an integrated model of the braking system that can be used for monitoring, diagnostics, and prognostics. The paper provides an overview of the basic models including Modelica models, reduced order models for various key components of the system model, and controls and sensor models. The Modelica models are implemented in the ANSYS Simplorer simulation to leverage existing modeling work and connections with other ANSYS finite element software to utilize reduced order models. The simulation results include both baseline results for the system and the results of injecting failures into the system for monitoring and predictive maintenance.

This paper describes a method for automated deployment of Modelica models as simulators in Microsoft Excel using Functional Mockup Interface (FMI) and FMI Add-in for Excel. Using existing interfaces, integration with modeFRONTIER is demonstrated and illustrated with several different example models in different physical domains to highlight the range of applications and types of analyses that can be covered with the automated toolchain. This toolchain can be applied to any FMU and streamlined with automation enabled by the supporting annotations.

Technologies like hardware-in-the-loop simulation (HILS) can play a significant role in reducing the product development life cycle. An essential requirement for HILS is the availability of system models that are capable of running in real-time. This paper demonstrates a closed loop real-time simulation of a vehicle with a climate control system model developed in Modelica. This paper details the modeling aspects of the vehicle system and climate control system using the object-oriented, acausal modeling language Modelica. To demonstrate the real-time simulation capabilities of the developed models, they were integrated with a controller model developed in the Simulink environment and the integrated model was then simulated in an Opal-RT real-time environment. This paper describes the models developed and the tool-chain used to achieve real-time simulation. The real-time simulation results as well as the performance results are also presented. This paper demonstrates Modelica's capabilities in creating models for real-time vehicle climate control system simulations.

This paper discusses the typical engineering workflow of an aircraft hydraulic actuator developmentenhanced using Modelon Hydraulics library and the new Modelon Impact environment. Modelon Impactconsistent with Modelon's philosophyenables having a more collaborative development and maintains more continuity between different phases of design cycle as well as democratizes models by making it available in different forms including dedicated apps. In order to cover the scope of the engineering design workflow, several steps are discussed: • Specification of the system requirements through test scenarios • Sizing of the system based on a steady-state design point • Re-use of the sized parameters for simulation of the model • Performing design verification, based on dynamic simulation scenarios • Export of the model using the Functional Mock-Up Interface standard, e.g, for cosimulation with flight control laws As most realistic engineering workflows involve several teams and, therefore, several tools, this paper discusses the openness and connectivity of the proposed Modelon solution.

For developing high-quality and cost-efficient products, it is important to evaluate and compare system level performance for different configurations early in the development process. This paper will present the development of a vehicle system model in Modelica that is used to study the overall vehicle power-train torsional vibrations that impact Noise, Vibration & Harshness (NVH) characteristics of the vehicle. In this study, a detailed crank-angle resolved, multi-cylinder engine model is constructed, which includes intake/exhaust dynamics, combustion, heat transfer, engine friction and rotational dynamics of piston-crank mechanism. The engine model accurately reproduced real-world engine torque and acceleration fluctuations. The lumped parameter powertrain system model which includes clutch (and associated vibration isolation components), transmission, driveline and chassis is developed and used with the engine model to predict torsional vibrations. This system model is used to understand the powertrain torsional vibration characteristics in different operating regions such as idling, driving and coasting conditions.To demonstrate the applicability of the developed models, results of unit tests for independent components, especially the engine torque variation and the clutch torsion characteristic, and the system-level quantitative validation with test data are presented. A special model that does fast Fourier transform of the signal on the fly is presented and its role in the analysis discussed. We present a comparison of rattle noise between two compliant clutch (isolator) designs and discuss the rattle metrics used in the analysis. Generic considerations for the deployment of such system level models are also discussed in this paper.