VARIABLE SPEED CONTROL OF ELECTRIC VEHICLE USING I2V COMMUNICATION

Abstract

Increasing number of vehicles on road has led to the problem of traffic jam, accidents, over speeding and pollution. Thus, to solve these issues researchers across the world indulge to find effective solutions with the help of various techniques like Machine learning, Artificial Intelligence etc. But these techniques are helpful in certain places where the road traffic is structured, and the laws related to traffic violation are enforced properly. But in a country like India where the traffic is unstructured , poor infrastructure and law enforcement is not up to the mark, the ML techniques might not perform efficiently. Thus, speed control of vehicle electronically through I2V (infrastructure to vehicle communication) can be effective. In India speed limiters are available for ICE engines type but their efficiency is low. EV’s are the future of transportation in the world , due to this aspect the research method is proposed. The main motive of this report is to present a method to electronically control the speed

of the vehicle especially electric vehicles. For this purpose, a model is developed in MATLAB- Simulink to control the longitudinal speed of the vehicle to reduce road speed limit violations. In

this model a DC motor is used for speed control. Further the rotational velocity of DC motor is converted into longitudinal velocity using wheel modelling. Another model is developed in Proteus-VSM to control the longitudinal speed of vehicle with the help of two Arduino Uno configured in master slave configuration to enable the infrastructure to vehicle communication(I2V) via rf 433MHz module. Master Arduino can be fitted into the road-side structure like poles which continuously transmits the data related to speed on that road. The transmitted data is received by the receiver interfaced with the slave Arduino fitted into the vehicle which controls the speed of the vehicle electronically according to the received signal. The proposed methods perform under certain assumptions and both provides convincing results.