Virtual validation – a new world for vehicle development.

Verifying and validating components and systems before they actually exist – our virtual validation experts can make this a reality for you. We can validate vehicle parts, components and functions as well as entire vehicles, thereby ensuring functional stability at an earlier stage, increasing development efficiency and enhancing vehicle safety. This work involves validating different characteristics in a virtual test environment, using common simulation software and connecting individual models to a comprehensive overall simulation. Benefit from our ASAP specialists’ years of experience as well as our innovative tools and methods. With our full service offering, we can offer universal virtual validation.


Our virtual validation services

In dynamics analysis, we examine the strength, thermal behaviour, EMC, acoustics and coupled characteristics. We conduct different virtual validation simulations and highly dynamic analyses of components and systems. Our service portfolio includes component modelling as well as statistical modelling, including advice on characteristic maps and automated application. Here at ASAP, our developers will conduct simulations and calculations to support you on thermal, mechanical and electrical aspects of component and system design. What’s more, we can take care of statistical assembly and production analyses for you.

The demands placed on testing procedures continue to rise sharply, above all in relation to automated driving functions, and present new challenges for us. Here at ASAP, we can already depict real-life driving manoeuvres in a virtual test environment. Our engineers can oversee the virtual HAD and ADAS testing, such as through statistical environment and sensor modelling. Our service portfolio comprises physical, systems-theory and data-based modelling for real-time applications in HIL, MIL, SIL and ECU environments. We can also take care of physical and statistical modelling for operation without sensors at the component level or system level as well as the development of applications to visualise our developed models.

When tackling issues relating to model-based predictive maintenance, our ASAP engineers use methods and technologies to record, digitalise and transmit data. In the course of virtual product development, they save, analyse and evaluate the collected data and calculate the probability that specific events will occur. Our developers can use this information to make failure predictions for specific vehicle components and generate forecasts of their operating state.

We help simulation tools to communicate.

Our aim is to use virtual environments to verify and validate all phases of vehicle development while simultaneously maintaining a view of the vehicle as a whole. Thanks to our links with software engineering, we have created a co-simulation platform that connects and combines different validation methods and enables multi-directional communication between tools. Above all, this allows us to simulate the interactions between a vehicle’s software and its physical characteristics and thus create a realistic virtual validation.

Virtual test bench for functional and component validation.

In addition to performance, range is another important factor for electric vehicles. In one of our current projects, we are working on range forecasting for electric vehicles using modelling and simulation, which will enable us to determine the range of a vehicle before the finished product or specific hardware components have been produced.  Working in a virtual environment, our ASAP engineers have established a test environment that allows us to create and simulate a range of scenarios for virtual test runs. The virtual test environment can incorporate and account for different environmental influences, road conditions and road signs. This allows us to determine the best powertrain concept for you as well as the most effective charging and operational strategy possible. Our ability to expand and enhance every phase in the development of an electric powertrain with our virtual components, models and computation methods significantly reduces the cost and complexity of testing, prototyping and product optimisation. Virtual validation makes it possible to resolve questions regarding the forecasting of vehicle range and operating state without real-life test runs – and, instead, with just a few clicks of a mouse.

More about e-mobility

New methods to validate driver-assistance systems.

In aleatory functional validation, our ASAP specialists have developed a validation method based on reinforcement learning for use on complex system functions. Find out more about the self-learning method and how aleatory functional validation helps to enhance both efficiency and quality. Dr. Josef Baumgartner (Design Engineer, Test Automation) and René Honcak (Project Manager, Modelling/Simulation) provide a brief insight.

More about autonomous driving

Digital twins in component and functional development.

In addition to performance, range is another important factor for electric vehicles. In one of our current projects, our ASAP specialists are working on forecasting electric vehicles’ range and operating state using digital twins This method makes it possible to determine a vehicle’s range and operating state virtually at an early stage in the development process. (Source: Special issue of ATZextra Automotive Engineering Partners, 2019)

More about the project

René Honcak – Project Manager, Modelling/Simulation.

From the e-motor to the power electronics to the battery, the components in an electric drive system need to be perfectly attuned in mechanical, thermal and electromagnetic respects. René Honcak simulates this interaction before any of the components have even been produced. This is because, as a mathematician with academic training, he lives in a world of theoretical models. He develops these models by combining physical models with data-based statistical processes and uses this to derive the complex interdependencies at work. Yet, as he explains, his work goes further still: “In the future, machine learning approaches – that is to say, applied artificial intelligence – will be used to a greater degree in this field.” René Honcak holds a Bachelor’s degree in Scientific Computing as well as a Master’s in Stochastic Engineering. When he joined the ASAP Group in 2015, his first role was as a Development Engineer. Today, Honcak is a Project Manager in the field of Modelling/Simulation; his team is composed of experts from different scientific and engineering fields, such as electrical engineering, process engineering, machine engineering, physics and CGI.

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