This paper presents a traction controller for combined driving and cornering conditions, based on explicit nonlinear model predictive control. The prediction model includes a nonlinear tire force model using a simplified version of the Pacejka Magic Formula, incorporating the effect of combined longitudinal and lateral slips. Simulations of a front-wheel-drive electric vehicle with multiple motors highlight the benefits of the proposed formulation with respect to a controller with a tire model for pure longitudinal slip. Objective performance indicators provide a performance assessment in traction control scenarios
This article compares the performance of three predictive braking control algorithms for electric ve...
In this paper we propose a constrained optimal control architecture to stabilize a vehicle near the ...
This paper presents a model predictive control approach to drive the vehicle up to its tires adhesio...
This paper presents a traction controller for combined driving and cornering conditions, based on e...
This study presents a traction control system for electric vehicles with in-wheel motors, based on e...
This study presents a traction control system for electric vehicles with in-wheel motors, based on e...
Modern hybrid electric vehicles employ electric braking to recuperate energy during deceleration. Ho...
The real-time change of tire-road friction coefficient is one of the important factors that influenc...
An observer-based traction control strategy for electric vehicles is proposed in this paper. The pro...
This article is concerned with the design of braking control systems for electric vehicles endowed w...
Electronic vehicle dynamics systems are expected to evolve in the future as more and more automobile...
This paper describes the application of Model Predictive Control (MPC) to vehicle motion control usi...
Wheel slip may cause a significative worsening of control performance during the movement of a mobil...
This study applies nonlinear model predictive control (NMPC) to the torque-vectoring (TV) and front-...
Wheel slip may cause a significative worsening of control performance during the movement of a mobil...
This article compares the performance of three predictive braking control algorithms for electric ve...
In this paper we propose a constrained optimal control architecture to stabilize a vehicle near the ...
This paper presents a model predictive control approach to drive the vehicle up to its tires adhesio...
This paper presents a traction controller for combined driving and cornering conditions, based on e...
This study presents a traction control system for electric vehicles with in-wheel motors, based on e...
This study presents a traction control system for electric vehicles with in-wheel motors, based on e...
Modern hybrid electric vehicles employ electric braking to recuperate energy during deceleration. Ho...
The real-time change of tire-road friction coefficient is one of the important factors that influenc...
An observer-based traction control strategy for electric vehicles is proposed in this paper. The pro...
This article is concerned with the design of braking control systems for electric vehicles endowed w...
Electronic vehicle dynamics systems are expected to evolve in the future as more and more automobile...
This paper describes the application of Model Predictive Control (MPC) to vehicle motion control usi...
Wheel slip may cause a significative worsening of control performance during the movement of a mobil...
This study applies nonlinear model predictive control (NMPC) to the torque-vectoring (TV) and front-...
Wheel slip may cause a significative worsening of control performance during the movement of a mobil...
This article compares the performance of three predictive braking control algorithms for electric ve...
In this paper we propose a constrained optimal control architecture to stabilize a vehicle near the ...
This paper presents a model predictive control approach to drive the vehicle up to its tires adhesio...