Abstract
The paper introduces a hardware-in-the-loop (HIL) vehicle simulator built for testing and tuning a look-ahead cruise control algorithm considering forward road conditions. The aim of the vehicle simulator, apart from conducting real-time demonstrations and tests, is to create a HIL architecture which can be directly applied to a real heavy-duty vehicle formerly represented in TruckSim. By this means, several otherwise expensive road tests can be implemented with the simulator to increase the efficiency and reliability of the developed look-ahead control method.
Highlights
Introduction and motivationVehicle simulators are widely used by automakers, industrial development companies and engineering research agencies as well
A hardware-in-the-loop (HIL) simulator based on a real vehicle was introduced in (Szalay et al, 2012), where a high-accuracy validated simulation software was attached to several hardware components
The present paper introduces the development of a HIL vehicle simulator on which the look-ahead algorithm is tested and tuned
Summary
Introduction and motivationVehicle simulators are widely used by automakers, industrial development companies and engineering research agencies as well. The purpose of a vehicle simulator is to develop and validate different driver models, vehicle dynamic control systems, etc. Since testing embedded control systems on real vehicles may depend on the availability of prototype vehicles, automotive companies tend to use more and more vehicle simulators in order to execute typical test scenarios, see Tsampardoukas, and Mouzakitis (2012). A hardware-in-the-loop (HIL) simulator based on a real vehicle was introduced in (Szalay et al, 2012), where a high-accuracy validated simulation software was attached to several hardware components. This simulator has already been used to set up longitudinal and lateral driver models based on driver experiments, see (Mihály and Gáspár, 2014). In terms of longitudinal dynamics, has been investigated and compared to the proposed look-ahead method, see Mihály et al (2012; 2013)
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