Data logging is a key element when testing and validating technologies for autonomous driving. But how can you make sure your data logging processes are efficient and reliable? Our colleague Patrik Morávek answers questions like this in his blog article "My 8 Tips for Efficient Data Logging".
Do you need to emulate the electrical interface between an electric vehicle and the charging station for your testing activities? This is where our new DS5367 Smart Charging Plug Simulator comes into play. The extension for the dSPACE Smart Charging Solution offers numerous manipulation options and supports all common charging communication standards.
The new version 5.2 of the tried-and-tested production code generator TargetLink optimizes the development of production software for autonomous vehicles.
Shanghai Fuel Cell Vehicle Power System: Energy from the Cell
Shanghai Fuel Cell Vehicle Power System Co., Ltd. relies on fuel cell technology, using a simulator provided by dSPACE to efficiently develop and validate the fuel cell software.
Video: Optimizing Controller Code for Electric Drives
For the controller software of electric drives, performance is often critical. During the prototyping phase, you can use high-performance prototyping systems and FPGAs. In production vehicles, however, the lower costs and ready availability of lower-performance, embedded microcontrollers can give you a competitive edge.Join our free webinar for tips on how to optimize a controller model to achieve the target values imposed by your production hardware.
Video: Boost Your Simulink / TargetLink Modeling Efficiency
Working on large and complex Simulink and TargetLink models doesn’t have to be a tedious and time-consuming task. In this video podcast episode, Ferry Bachmann from Model Engineering Solutions (MES) and Carsten Rustemeier from dSPACE show how you can complete modeling tasks faster, safer, and with less frustration.
