Android and Cloud-Based Application Development to Predict Remaining Age of Four-Wheeled Vehicle Brake Pad with Varied Driving Behaviour

Abstract

One important component in a vehicle is the braking system. The main function of the braking system is to provide deceleration to stop the vehicle speed. One important part of the braking component is the brake lining. But to know the physical condition of the brake lining, it is necessary to dismantle the wheel and brake components. So that one of the initial stages of development is to make an application that can predict the remaining life of the brake lining without having to do the demolition. Therefore, this study will design the calculation with the physical condition monitoring approach of the brake lining itself. In addition, in this study, the author will try to find a relationship between driving behaviour and its effect on the wear rate of the brake lining. After testing the road with 3 different driving behaviours, it was found that the driver with eco behaviour would consume 0.42%, normal behaviour as much as 1.65% and sport behaviour as much as 44.96% of the thickness of the original brake lining. There was a significant result in sports driving behaviour because in this behaviour the braking pressure and temperature will be very high when compared to eco and normal. Furthermore, the application error which obtained from the application was higher than the other two behaviour.

Pre-braking behaviors analysis based on Hilbert–Huang transform

“…However, Lodha et al (2021) showed that the braking time in chronic stroke disease survivors was longer than in other groups. Nugroho et al (2021) predicted the remaining age of brake lining by studying various driving behaviors and braking power. In summary, although there are many studies about driver behaviors, braking behaviors, and braking time, few are related to prebraking behaviors.…”