Highly Flexible and Scalable Development and Test Solutions
Innovations in highly automated and autonomous systems and current CO2 regulations are the key drivers for the technological development of tomorrow's commercial and off-highway vehicles. The first driverless and electrified shuttle buses have already been introduced, and highly automated, self-driving trucks are becoming a reality. Specialized vehicles and machines in construction and agriculture are already automated and connected; fully automated agricultural machinery, for example, increases efficiency in sowing. In addition, efficient new drive technologies such as electric drives as well as hybrid drives and highly efficient combustion engines are on the rise in both, commercial and off-highway vehicles.
dSPACE is a highly flexible and reliable partner with decades of experience in electrification topics. Customers all over the world appreciate our scalable solutions for developing and testing electric motors, battery systems, fuel cells, and charging infrastructures. This enables you to make e-mobility a real alternative even faster. Of course, you can rely on our full support in the development and testing of these systems.
Challenges of Automated and Autonomous Driving
The development of automated and autonomous commercial and off-highway vehicles poses the following challenges:
- Software-defined vehicles with centralized E/E architecture and multifunctional high-performance ECUs lead to increased complexity in development and testing
- Safety-related and security-related features become an integral part of the validation task
- Safety-critical systems must be developed and tested with regard to fail-operational behavior
- Sophisticated sensor, vehicle and environment models require state-of-the-art computation capabilities
Challenges of E-Mobility
The construction of efficient electric powertrains for commercial and off-highway vehicles presents the following challenges:
- Comprehensive real-time performance including FPGA-based hardware acceleration is essential especially for development and testing of power electronics and electric drive controls.
- A wide range of application-specific interfaces and protocols for electric motors, fuel cells, batteries, power electronics and charging systems needs to be supported
- Interfaces for development and testing are needed at signal level and power level
- Open libraries with open and ready-to-use models that can be executed on processors or FPGA allow for speed-up of the development process
dSPACE Solutions for Commercial & Off-Highway Vehicles
dSPACE offers end-to-end solutions for the data-driven development of highly intelligent, autonomous systems - from data logging to comprehensive component and integration testing. With our comprehensive product portfolio for electrification, we support you with innovations in energy storage, charging systems, and electric drives. With us, you can take your e-innovations to the road faster.
Central Test Method for Validating ECUs
The dSPACE HIL test systems provide a simulated environment for efficient and reproducible validation of real ECUs in the laboratory 24/7. This increases test coverage and shortens validation times significantly. Our HIL solutions cover all vehicle domains from autonomous driving to zero emissions – starting with component testing and up to virtual vehicle testing.
Software-in-the loop (SIL) testing with the powerful dSPACE solution for PC- and cloud-based simulation
With the dSPACE solution for software-in-the loop (SIL) testing, you can significantly accelerate your software development process by testing and validating virtually. dSPACE offers you a complete, modular, scalable development and test solution. You can conveniently simulate a device-under-test on a PC, connect it to physics-based models, run scalable tests in the cloud, and then easily reuse test scripts on hardware-in-the-loop (HIL) systems.
Data Management and Collaboration Software for Automated ECU Testing
SYNECT, our solution for the efficient and automated verification and validation of ECU software, helps engineers worldwide handle all test parameters, their dependencies, versions and variants, and the underlying requirements throughout the entire development process.
This results in consistent data versions and complete traceability as required in homologation processes, and an efficient reuse of data in other projects.
Make ADAS/AD data available faster and at lower cost
Data from real traffic situations is the key resource in making autonomous mobility a safe reality. Our mission is to enable your data logging systems to quickly respond to new iterations of training and validation, which in turn will allow for the shortest data cycles. To do this, we provide you with a comprehensive solution for flexible in-vehicle data recording, advanced data insight, and integrated data ingestion.
No volume of data is too large if you have an efficient data management tool
Powerful data management helps you centralize, store, search, filter, preview, postprocess, and analyze your recorded data for data-driven development of functions for ADAS/automated driving and other mobility applications. With the dSPACE solution for sensor data management, you will quickly find what you are looking for in petabytes of traffic data.
Annotation and anonymization with best-in-class quality and automation
The development of ADAS and autonomous vehicle systems requires a huge number of objects and attributes from data recordings to be labeled for subsequent use in the development process. Only a very high level of automation makes these annotation projects feasible within an affordable budget and timeframe. Moreover, the anonymization of faces and license plates within recorded data has become a global requirement. dSPACE, with its group company understand.ai, offers the right solutions to let you meet these tough requirements.
Optimized Production Software Development
The central challenges in production software development include the optimization of RAM resources, run time, and integration into the overall system. Furthermore, it must be possible to split the software in such a way that regular software updates are possible. And before the final software release, special validation and often a release process are required.