Schleissheimer (Germany) showcased a CanEasy toolbox for Matlab/Simulink at Embedded World 2014. The integration lets developers send and receive CAN signals and messages directly from Simulink models. CanEasy is also available as a rental model.
THE MONTHLY RENTAL MODEL OF THE ANALYSIS ENVIRONMENT is called CanEasy on Demand. It is largely automated and can be configured, extended with plug-ins and can make security decisions easier. It makes it possible to select a tool on the basis of current requirements, not based on trends and eventualities. For the next project, the user can re-decide and, if required, switch to the market leader or to another, better fitting, analyzing tool. Until then, the user saves costs for functional overkill, maintenance, and upgrades.
CanEasy on Demand is installed as an application on the computer. It works anytime, whether the user is online or offline. It only requires connecting to the license server from time to time to confirm the subscription. The subscriptions can be cancelled on a monthly basis. The number of workstations can be increased prior to intensive project phases and decreased just as quickly afterwards. This way it is possible to react flexibly to workload variations.
The subscription always offers the latest updates and upgrades. Of course the user doesn’t have to update their software. According to the requirements of each project, different additional options can be booked. The rental model dispenses with acquisition costs and capital commitment for purchase licenses. The user can begin working right away – free of charge for the first 30 days, afterwards according to the selected subscription. For longer periods, discounted rental prices are available. The fixed monthly rates make costs transparent and predictable. That way, they can be assigned to project budgets easily.
CanEasy toolbox connects to Matlab
Another alteration presented at the Embedded World was the CanEasy toolbox for Matlab/Simulink. With the toolbox, developers can test new algorithms within Simulink without having to implement their code on a physical control unit, which accelerates and facilitates the work of ECU developers. The toolbox for Simulink enables using real CAN signals within Simulink. Users can include the signals in their control systems to develop, test, and parameterize their designs. Afterwards, they can generate executable code from the created algorithms and transfer it to the ECU. Combining CanEasy and Simulink saves developers time in developing complex control systems.
The company also presented a pilot implementation of the integration: Using CanEasy and Simulink, students of the Information Engineering, Electrical Engineering, and Mechatronics department at the University of Applied Sciences Mittelhessen have developed software for a driverless car. The vehicle has participated in the 2014 “Carolo Cup” competition for driverless vehicles, the second time overall.
“Combining Simulink and CanEasy saves developers a lot of time: They can use a model-driven development concept and won’t have to deal with C code or compiler errors,” said Hans-Joachim Schleissheimer. “A computer running CanEasy and Simulink simply replaces the ECU in early development phases.”
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