Developing EPB Analytic Model Based on Multi-Flexible Body Dynamics 2023-01-1885
The current braking system of a vehicle includes a parking braking system, which consists of a Motor on Caliper (MOC) that generates hydraulic main braking and electric parking braking through a caliper structure. When designing the MOC braking system, it is important to consider an analytical model that can predict the performance of the parking clamping force and the torque generated between the disk and caliper interactions. However, in previous designs, system predictions were often based on simplified structural calculations or incomplete Finite Element Method (FEM) analysis.
In this paper, a study was conducted to predict the system performance using Multi-flexible Body Dynamics (MFBD) analysis. Firstly, a kinematic model (MBD) was developed for the Electric Parking Brake (EPB) system currently used in mass-produced vehicles. And the MBD model which based on kinematics was the initial model for this study. Secondly, Multi flexible body dynamics model was built based on aforementioned MBD model. This model considered internal contact, deformation conditions especially caliper body as a flexible body and force. The RECURDYN program was used to construct the model, and dynamic and FEM analyses were applied to the system.
By using this analysis model, existing products was manufactured, and extensive performance evaluations were conducted to assess the consistency of the analysis model developed through the program. The results obtained from this study can help predict the performance of the initial MOC system design and identify areas that require improvement.
Additionally, when considering optimization for a specific system, this model can be used to determine key design dimensions and establish a basis for design in conjunction with the experimental planning method.
Citation: Kwon, Y., Park, C., Yun, J., and Jing Moon, P., "Developing EPB Analytic Model Based on Multi-Flexible Body Dynamics," SAE Technical Paper 2023-01-1885, 2023, https://doi.org/10.4271/2023-01-1885. Download Citation
Author(s):
Yongsik Kwon, Chang Hun Park, Joon Hee Yun, Park Jing Moon
