TY - GEN
T1 - MPC-based Traction Control for Electric Vehicles
AU - Palma, Alvaro
AU - Reyes, Agustin
AU - Rohten, Jaime
AU - Risso, Nathalie
AU - Quezada, Daniel
AU - Esparza, Vladimir
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The car technology shift to powertrain electrification gives plenty of new ways to improve safety, one of such is the regenerative brake sustained by the capability of the instant torque that an electric motor can produce. However, traction control is something that needs to be discussed and study in order to maximize safety, acceleration, and braking for electric vehicles. This paper examines and simulates a torque control technique, ensuring a secure and safe acceleration, and braking procedure to avoid slipping. This is achieved by computing the dynamics of a car with a quarter vehicle model and the characteristics of a tire. In this work, a Model Predictive Control (MPC) strategy is adopted in order to control the torque needed to follow a slip ratio given as reference. Simulation results show a quick reach of the maximum grip available, ensuring a fast and safe braking/acceleration maneuver by ensuring the reach and hold of the maximum friction coefficient point of the tire model..
AB - The car technology shift to powertrain electrification gives plenty of new ways to improve safety, one of such is the regenerative brake sustained by the capability of the instant torque that an electric motor can produce. However, traction control is something that needs to be discussed and study in order to maximize safety, acceleration, and braking for electric vehicles. This paper examines and simulates a torque control technique, ensuring a secure and safe acceleration, and braking procedure to avoid slipping. This is achieved by computing the dynamics of a car with a quarter vehicle model and the characteristics of a tire. In this work, a Model Predictive Control (MPC) strategy is adopted in order to control the torque needed to follow a slip ratio given as reference. Simulation results show a quick reach of the maximum grip available, ensuring a fast and safe braking/acceleration maneuver by ensuring the reach and hold of the maximum friction coefficient point of the tire model..
KW - Automotive control
KW - Electric Vehicle (EV)
KW - Model Predictive Control (MPC)
KW - Regenerative Braking
KW - Traction control
KW - Vehicle Dynamics
UR - https://www.scopus.com/pages/publications/85147091174
UR - https://www.scopus.com/pages/publications/85147091174#tab=citedBy
U2 - 10.1109/ICA-ACCA56767.2022.10006053
DO - 10.1109/ICA-ACCA56767.2022.10006053
M3 - Conference contribution
AN - SCOPUS:85147091174
T3 - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022
BT - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022
Y2 - 24 October 2022 through 28 October 2022
ER -