DESIGN AND DEVELOPMENT OF ANTI-LOCK BRAKING SYSTEM FOR ELECTRIC VEHICLE

Abstract

Modern automobiles are more than just mechanical gadgets. Because of the connectivity which is increased between the vehicular networks and the present outside world, hackers now have more security flaws via which they can cause exploitations of a vehicular network. The CAN network that is controlled area network is a common communication bus protocol that helps ECU that is electronic control units in a vehicular network to communicate with one another. The safety systems which connect to network, on the other hand, are particularly vulnerable to malicious internal or external assaults due to their varied security flaws. This study presents a new way for introducing a Message Authentication System to enhance CAN security. The electric vehicle is basically driven by the lithium-ion battery coupled to hub motor. The motor needs a power supply to run which can be from an array of source. Electric vehicles do not emit any carbon dioxide because they are fuelled by electricity rather than any other fuel. Carbon dioxide contributes to the greenhouse effect. The design of the electric vehicle includes Hub motor which is brushless dc motor the outer part which rotates is called rotor and permanent magnets is used above the rotor inner part is called as stator and windings are used above it. Hence hub motors are dc motors as they work on dc voltage. Lithium-ion battery is made up of anode, cathode, electrolyte and two current collectors (positive and negative). Li-ion batteries can be recharged 100 times and are more stable. Henceforth, high efficiency with less noise and environment friendly electric vehicle is designed. The method that is proposed and implemented in a MATLAB and Simulink of CAN-based in the networks of the vehicle design along with ABS. By introducing additional security characteristic information unique to each transmitted CAN packets, model that applies Authentication of messages with a safety mechanism for any unknown detection that is intruded. The suggested method's result analysis revealed the fact that the feature which is security