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

Authors : Uğur DEMİR, Zeliha KAMIŞ KOCABIÇAK

Pages : 364-378

Doi:10.30939/ijastech..1178321

View : 14 | Download : 6

Publication Date : 2022-12-31

Article Type : Research Paper

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