Assessing impact of smart brake blending to improve active safety control by using simulink

Abstract

Not just emissions issues, but also rising fuel costs for traditional cars is attracting individuals to make use of electric vehicles. Despite various benefits, such as pollution-free, noise-free, smooth driving, there may be a new likelihood of problems resulting from the quiet service of electric cars (EVs) which difficult to hear for pedestrians as well as wear particles coming out from disc brake are still unresolved issue from atmospheric state. In view of this, Authors have designed an intelligent braking system to address such issues. The aim of the proposed work is to construct an intelligent model of braking system that can incorporate contactless blending braking along with safety controls to prevent any collision. A state flow algorithm along with obstacle detection has been introduced to achieve desired braking action from proposed model. The results obtained from simulation study are consistent relative to previous researchers' findings. The new scheme has to be aiming to mitigate concerns over injuries and enhancing environmental conditions. The main contribution of the present study is the novel design of braking system test rig with the application of artificial intelligence to improve active safety control of vehicles.