This article is concerned with the design of braking control systems for electric vehicles endowed with redundant braking actuators, i.e., with friction brakes and wheel-individual electric motors. Facing the challenge to optimally split the braking torque between these two actuators, a unified model predictive control (MPC) algorithm is presented here. The proposed algorithm unifies the wheel slip controller and the torque blending functions into a single framework. The capability of handling energy performance metrics, actuator constraints and dynamics, represents the main advantages of this approach. Simulation studies demonstrate that, in comparison with state-of-art solutions, the proposed control strategy is able to improve the wheel slip and torque tracking by more than 20%, with minor penalization in the energy recuperation.
Combined wheel-slip control and torque blending using MPC
2014-11-01
2587476 byte
Conference paper
Electronic Resource
English
Torque blending and wheel slip control in EVs with in-wheel motors
Taylor & Francis Verlag | 2012
|Torque blending and wheel slip control in EVs with in-wheel motors
Online Contents | 2012
|Torque blending and wheel slip control in EVs with in-wheel motors
Tema Archive | 2012
|Torque blending and wheel slip control in electric vehicles with in-wheel motors.
Automotive engineering | 2012
|Wheel slip control with torque blending using linear and nonlinear model predictive control
Taylor & Francis Verlag | 2017
|