Open AccessCURRENT STATUS OF CONTROL STRATEGIES IN ENERGY RECOVERY SYSTEMS IN ELECTRIC VEHICLES
Author(s) -
Juan Carlos Nuñez Dorantes,
Albino Martínez-Sibaja,
José Pastor Rodríguez-Jarquin,
OSCAR OSVALDO SANDOVAL GONZALEZ,
Rubén Posada-Gómez,
Manuel Adam Medina
Publication year - 2022
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.177
H-Index - 11
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/10134
Subject(s) - control theory (sociology) , pid controller , automotive engineering , battery (electricity) , computer science , control engineering , control (management) , control system , engineering , electrical engineering , temperature control , power (physics) , physics , quantum mechanics , artificial intelligence
There is currently an increasing demand for electric vehicles that require greater autonomy and energy efficiency when driving them. Control strategies in energy recovery systems are crucial to optimize the amount of energy returned to the battery and to ensure safety and stability for the user. In this paper, active fault tolerant control systems (AFTC) and passive fault tolerant control systems (PFTC) with otherspecialized control strategies (Fuzzy Logic, Neural Networks and Perturbation Rejection Controllers) are compared with classical PID controllers.The results of the simulations show that, keeping the battery voltage constant, returns of about 12% of the battery charge capacity are achieved while the braking time of the vehicles is reduced.