Design and mathematical modeling of new electric vehicles

Abstract

This paper presents the modeling and optimization of automatic control in electric vehicles (EVs). The performance and overall cost reduction of electric vehicles could be enhanced in multi-speed transmission with some challenges, such as avoiding jerk gearshift that will sometimes demonstrate to be incredible in the event of motor and clutch saturations. This work introduces explicit definitions to understand the jerk gearshift resulting from actuators or motor saturations. The gear shift includes transferring transmission torques from one friction clutch to another. The study of the influence of planetary gear sets on the gear shift dynamics trajectory with impact on the non-jerking. To improve the electric vehicle's performance, the number of gears in automatic transmission is being minimized, as the trucks which continuously increased. The structure of a multi-speed transmission could be optimized by double transitions shift with less difficulty. The simulations result illustrates that the non-overlapping of clutches' inertias phase in the dual transitions shifting could efficiently reduce the shift jerks. The torque phase overlap with the inertia phase of other clutches could be controlling the power loss at law level because of using less shift times. Additionally, this proposal offers tools to compare the transmission architecture through the conceptual designs for new electric vehicles.