/ 113 Vehicle Testbeds 4x4 for Advanced Applications in R&D The development of new drive concepts and powertrain functionalities entails new re��uirements for test systems. For this, AVL offers high-end solutions fulfilling these challenges. CHARACTERISTICS All four highly dynamic load units of the vehicle test��ed can ��e controlled separately or synchronously. This is possi��le for generic analyses and also forms the ��asis for real-life testing in connection with AVL InMotion™ powered ��y CarMaker. Previously recorded 3�� road profiles including curves can ��e modeled. Along with the conventional method ����y means of coast-down coefficients��, the road simulation is implemented in an advanced way on the ��asis of a physical multi-��ody simulation model linked to an environment, real road and driver model. This allows for highly varied parameters like air resistance, vehicle weight, trailer and driving style. Additionally, a comprehensive residual ��us simulation can ��e implemented on the ��asis of the simulation model ��e.g. simulation of acceleration or traffic for ACC systems��. APPLICATION The range of applications for 4��4 vehicle test��eds for advanced applications is ��road�� �� Real consumption and emission analyses ��ased on customer-specific roads ��e.g. Auto Motor and Sport track�� �� ��evelopment of advanced driver assistance systems using free maneuver, road, and traffic definitions �� Analysis of different ��virtual and reproduci��le�� driver types linked to vehicle operating strategies Real-life testing on the vehicle testbed BENEFITS AT A GLANCE �� Highly dynamic four-motor vehicle test��ed for modeling different pulling forces and speeds on all four wheels • Future-proof development platform for intelligent drive concepts such as electric drives as well as comple�� powertrain functionalities ��e.g. tor��ue vectoring�� • Maneuver-based real-life testing on the vehicle testbed �� Parameteriza��le simulation models for driver, road and topology, environment and residual vehicle
Solutionskatalog_2017_E
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