Hardware package simplifies systems modeling of electric vehicles.
MathWorks, a leader in mathematical computing and model-based design software, and Infineon Technologies, a leader in semiconductor solutions, have announced the release of a support package for Simulink that targets automotive engineers. The package contains models of the AURIX TC4x family of automotive microcontrollers for electric vehicles.
“This close collaboration with Infineon will enable our mutual customers to accelerate the pace of development of electric-vehicle systems,” said Jim Tung, MathWorks Fellow. “Engineers can tackle complex systems while managing risk, with an improved understanding of system-level behavior, continuous verification and a digital thread to requirements. We are proud to contribute to these activities that help make vehicles cleaner, more efficient and more reliable.”
By using this new package together with Simulink, automotive engineers will be able to simplify the creation of their electric vehicle systems models. This will make it faster and easier to design, optimize, evaluate and generate embedded software for these vehicles. According to MathWorks, using MATLAB and Simulink can accelerate embedded-systems development and verification by 30 to 40 percent compared to traditional workflows.
“Our newest AURIX TC4x microcontroller family will give customers unparalleled real-time safety and security performance,” said Marco Cassol, Director of Microcontroller Product Marketing for ADAS, Chassis and EE Architecture applications at Infineon Technologies. “Support for these chips from the widely used MathWorks capabilities for model-based design enables engineers to get an earlier start on pre-silicon software development and automate code generation to accelerate that development. The resulting time-to-market benefits could significantly impact our customers’ success.”
Another recent release from these two partners came in the form of SPICE models for Infineon’s OptiMOS 5 MOSFET devices within MathWorks’ Simscape, a physical modeling environment. The aim here was to accelerate the design and improve the control of electric motor powertrains by designing cooling, pumps and other systems that increase efficiency.
