
Energy management for hybrid electric vehicles using rule based strategy and PI control tuned by particle swarming optimization algorithm
Author(s) -
Maher Al-Flehawee,
Auday Al-Mayyahi
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i6.pp5938-5949
Subject(s) - electric vehicle , state of charge , control theory (sociology) , fuel efficiency , energy management , particle swarm optimization , torque , pid controller , energy consumption , automotive engineering , computer science , engineering , control engineering , energy (signal processing) , control (management) , battery (electricity) , algorithm , temperature control , mathematics , electrical engineering , power (physics) , artificial intelligence , statistics , physics , quantum mechanics , thermodynamics