Price: $2,999.00

Length: 3 Days
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Automotive System Design Training

According to IEEE, automotive system design is undergoing a radical shift in the way cars are designed, implemented and deployed.

Consequently, all these changes in automotive system design impose an increased complexity and a high number of requirements in order to be more automated, connected, dependable and cost-effective.

Of course, changes in any sector, but especially in regards to automotive system design, raises several challenges that the embedded systems community has to face, encountered at different stages of systems development from modeling and design to software/hardware deployment and validation.

Automotive engineers are responsible for designing the mechanisms and systems of a ground-based vehicle. Their skill sets are put to use in the whole product design life cycle, from conception to manufacturing of automotive systems.

Additionally, automotive engineers look for potential issues within automotive designs and work to solve the issues. Automotive engineers design and test their safety mechanisms, framework, engines, brake systems, transmissions, and fuel systems through computer systems.

The automotive industry has been especially impacted by technological advances. Automotive engineering has made giant leaps toward the development and perfection of both electric and autonomous vehicles.

Automotive analysts believe the time has come for a totally revamped approach to automotive system design give the technological advances such as autonomous and semi-autonomous driving.

A collaborative and thinking approach among the various industry players are being called up now more than ever.

In the past it has taken approximately 4.5 years to develop a new car. Automotive system design generally begins in the concept phase, which hands off to the start of production (SOP) period and ends up in the end of production (EOP) phase.

Experts in this area say this pattern is being interrupted by the evolution to advanced driving assistance systems (ADAS) and autonomous cars are driving an explosion of new silicon.
At the center of it all is the system-on-chip (SoC), a powerful semiconductor device that runs complex algorithms and includes many hardware accelerator “brains,” also thought of as
the unsung heroes of the autonomous car gold rush that many call a marvel of advanced engineering.

The great challenge: How can engineers efficiently design these superchips to process billions of operations per second to identify and classify objects on the road in near-real time? What are the actual challenges in designing SoCs that process information from multiple sensors, radars, and cameras to carry out object recognition, distance estimation, and 3D mapping?

Automotive System Design Training Course by Tonex

The automotive industry is evolving into a high-tech sector facing huge challenges in terms of multidisciplinary product and process engineering that requires new generations of engineers. Perhaps never in history has there been a more rewarding time to be an automotive system design engineer. With the ongoing development of electric, solar and autonomous vehicles,  potential contributions are considerable.

The Automotive System Design course by Tonex aims at a systems approach to problems around mobility and fuel efficient automotive systems, such as communication systems and electrical driving-focused systems. Emphasis is on multidisciplinary design aspects of project-based research and engineering and the challenges that are faced by the automotive industry.

Our course helps participants gain important competencies that are absolutely necessary in the competitive landscape of the automotive industry as well as by other high-tech industries where system architecture, design and engineering play an important role.

The wide array of information in this course covers many topics, including:

  • Creating and modifying models and simulating system dynamics
  • Modeling continuous-time, discrete-time and hybrid systems
  • Modifying solver settings for simulation accuracy and speed
  • Building hierarchy into a model
  • Creating reusable model components using subsystems, libraries and model references

Automotive System Design Training

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