Vehicle Dynamics of Modern Passenger Cars
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Beschreibung
The book provides the essential features necessary to understand and apply the mathematical-mechanical characteristics and tools for vehicle dynamics including control mechanism. An introduction to passenger car modeling of different complexities provides the basics for the dynamical behavior and presents vehicle models later used for the application of control strategies. The presented modeling of the tire behavior, also for transient changes of the contact patch properties, shows the necessary mathematical descriptions used for the simulation of the vehicle dynamics. The introduction to control for cars and its extension to complex applications using e.g. observers and state estimators is a main part of the book. Finally the formulation of proper multibody codes for the simulation leads to the integration of all parts. Examples of simulations and corresponding test verifications show the profit of such a theoretical support for the investigation of the dynamics of passenger cars.
Provides essential features necessary to understand and apply the mathematical-mechanical characteristics and tools for vehicle dynamics
Shows the possibility to apply the mathematics of multibody system models via simulation programs for the prediction of the dynamics of a vehicle accelerates and therefore shortening the development process
Examples show the profit of these methods
Provides essential features necessary to understand and apply the mathematical-mechanical characteristics and tools for vehicle dynamics Shows the possibility to apply the mathematics of multibody system models via simulation programs for the prediction of the dynamics of a vehicle accelerates and therefore shortening the development process Examples show the profit of these methods
Autor*in
Peter Lugner
Themen in »Vehicle Dynamics of Modern Passenger Cars«
mathematical modeling mathematical-mechanical description car modeling mathematics of multibody system models control for cars vehicle models vehicle state estimation