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ChalmersX: Model-Based Automotive Systems Engineering

Learn how to model and simulate system dynamics in automotive engineering

7 weeks
10–20 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

22,454 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Mar 28

About this course

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Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications.

You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course.

This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills:Mathematical Optimization, Simulations, Systems Engineering, System Dynamics, Mathematical Modeling, Automotive Industry, Optimal Control

What you'll learn

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  • Road vehicle modelling in longitudinal, lateral and vertical direction
  • Develop causal and acausal mathematical models of dynamical systems
  • Linearize nonlinear continuous-time models
  • Derive discrete time models by sampling
  • The concept of state-space terminology
  • Design discrete time state feedback controllers
  • Analyze system models from a controllability, observability and stability point of view
  • To design and analyze observers and apply them for state estimation

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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