Comparative Analysis of Control Techniques for Efficiency Improvement in Electric Vehicles

By formulating the vehicle dynamics using an approximating the tire-force characteristics into piecewise affine functions, the vehicle dynamics cen be described as a linear

The optimal control problem of the energy management between the two power sources is solved for given driving cycles by a classical dynamic programming method and by an

1.2 electric and hybrid electric vehicles presentation 35 Differential Power converter Battery Internal combustion engine Electric motor Generator Planetary gear Start

The remaining of the paper is organized as follows: in section 2, a new approach into modeling the road conditions is presented; in section 3, the vehicle model, the estimation

This paper proposes a neural network traction control ap- proach of an electrical differential system for an EV propelled by two induction motor drives (one for each rear wheel)

To address this open problem, this paper proposes a neural network traction control approach of an electrical differential system for an EV propelled by two induction motor drives

The proposed control system principle could be summarized as follows: (1) A current loop, based on sliding mode control, is used to control each motor torque; (2) The speed

The induction motor torque, flux, and speed for speed sensor-based MRAS control and two sensorless control methods (Luenberger and Kalman Filter observers) are shown in Figs..