• Aishwarya G P
• Pavithra S
• Prithvi G Koundinya
• Ruchitha S U
• Dr. R. V Parimala, Dr. K Venkatesha

Greenhouse gas emissions, produced by various sectors, including transportation, are significantly impairing the environment and drive climate change. Battery electric vehicles are increasingly seen as a way to alleviate these problems, but they must be charged with electricity produced through environmentally friendly methods. Electric vehicles are the best solution for green transportation due to their high efficiency and zero greenhouse gas emissions. Various electric motors have been used as the propulsion system of electric vehicles. The robust performance of the in-wheel BLDC motor drives is an important factor in the safety of electric vehicles. When anything is in the blind spot, it gets impossible to see, unless the driver turns his/her head back, which again is dangerous as the need to keep the eyes on the road ahead all the time. This is exactly why blind spots turn out to be so dangerous and become a cause of many mishaps. In this paper, the aerodynamic design of the car is carried out by considering the mechanical and electrical parameters of the vehicle. The sizing of the EV power train is carried out to fix the motor size and battery capacity. A blind spot for the driver is reduced by adopting ultrasonic and LiDAR sensors which cover 180-degree rear part of the vehicle. Highly efficient RGB LED strips have been incorporated into the vehicle to indicate the position of obstacles based on distance that generates different color modes for easy identification for the driver.

BLDC, Blind spot, LiDAR, Ultrasonic.

"Intelligent Electric Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e96-e99, July-2022, Available :http://www.jetir.org/papers/JETIR2207412.pdf

"Intelligent Electric Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe96-e99, July-2022, Available at : http://www.jetir.org/papers/JETIR2207412.pdf