… electric braking torque and the pneumatic braking torque is achieved with the nonlinear
model control … In this study, the torque distribution in the distributed drive electric vehicles has …

… model predictive control (MPC) framework, where the inputs are determined at each control
update by optimizing the power allocation … tailpipe emissions and regenerative braking) with …

… The controller is adjusted for torque vectoring to be used for electric vehicles in this study.
To develop the reconfigurable vehicle model, first, the linearised tire forces are provided. …

… timal slip ratio, a model predictive control approach is proposed for the antilock braking
system with motor of a battery electric vehicle. A wheel dynamics model with a virtual control …

… prediction methods and solution methods in the energy management strategy based on model
predictive control of hybrid electric vehicles. … based on model predictive control in different …

… control strategy to coordinate the braking and steering performance for in-wheel motor
drive electric vehicles (… A particle swarm optimization-based nonlinear predictive control (PSO-…

… 2, which are tracked well by the simplified model. Motor 1 is the preferred motor for electric
propulsion and regenerative braking because power losses occurring due to the gear box …

… host car in the complete trip by just solving one optimization problem once. Therefore, model
predictive control (… based on optimal velocity trajectory and driving braking force distribution …

… allocation and MPCA) for hybrid braking of electric vehicles. … torque to each wheel by a model
predictive control allocation … a DYC controller that controls the actual yaw rate and vehicle …

… This paper innovatively applies fuzzy comprehensive evaluation (FCE) method with … model
predictive control (MPC) as energy management strategy (EMS) for hybrid electric vehicles (…