Search Results

Vehicle dynamics simulation with Hardware In the Loop (HIL) has been demonstrated to reduce development and validation time for dynamic control systems. For dynamic control systems such as Anti-lock Braking System (ABS) and Electronic Stability Control (ESC), an accurate vehicle dynamics performance simulation system requires the Electronic Brake Control Module (EBCM) coupled with the vehicles brake system hardware. This kind of HIL simulation-specific software tool can further increase efficiency by means of automation and optimization of the development and validation process. This paper presents a method for HIL vehicle dynamics simulator optimization through Brake Response Time (BRT) correlation. The paper discusses the differences between the physical vehicle and the HIL vehicle dynamics simulator. The differences between the physical and virtual systems are used as factors in the development of a Design Of Experiment (DOE) quantifying HIL simulator performance.

In conventional system modeling, some constitutive laws governing the performance of a major subsystem must be derived by testing existing hardware. However, if a system model is to be employed in the early stages of vehicle development, then separate models are required to generate the necessary subsystem constitutive laws strictly from basic design parameters and very simple component tests. This paper demonstrates how a computer model can generate the same complex kinematic data generated by a test for a vehicle suspension subsystem, and how these results can be integrated with a system-level, vehicle ride model. The suspension model presented is constructed primarily from design parameters, with some use of easier-to-obtain empirical data (such as load/deflection relationships of the jounce bumpers). This paper also discusses an improved approach to modeling the coil spring in a double A-arm suspension.