Investigation on Different Driving Cycle and Scenarios Considering the Autonomous Electric Vehicles

This study presents a series of analyzes considering the traction and steering demands an autonomous electric vehicle (AEV) as shuttle. The considered in here are dealt with driving cycle (DC) scenarios (DS) to assess performance AEV. aim this is evaluate issues such over engineering for AEV motor requirements on certain route by comparatively analyzing traditional dynamic calculation under DC DS. Therefore, DS lit-erature evaluated terms different applications, optimization techniques, generation algorithm, parametric characterization, e-motor type etc. Afterwards, NEDC, US06, WLTC, Double Lane Change (DLC), Constant Radius (CR) Slowly Increase Steer (SIS) determined. Then, they arranged according vehicle-specific limits golf car. modified DCs DSs run model vehicle. In performed analysis, parame-ters reference trajectory tracking, yaw angle, tractive forces, lateral longitudinal displacement-acceleration, power–speed-torque investigated. And obtained results comparing results.