Maximizing Regenerative Braking Energy Harnessing in Electric Vehicles Using Machine Learning Techniques

Innovations in electric vehicle technology have led to a need for maximum energy storage the source provide some extra kilometers. The size of vehicles limits batteries, thus limiting amount that can be stored. Range anxiety amongst crowd prevents entire population from shifting completely mode transport. harnessed kinetic produced due braking during deceleration is sent back batteries charge them, process known as regenerative braking, providing longer range vehicle. work proposes efficient machine learning-based methods used harness an mileage. are compared using fuzzy logic and artificial neural network techniques. These techniques take into consideration state (SOC) estimation battery, or supercapacitor brake demand, calculate power. With proposed learning techniques, there has been 59% increase extraction extraction.