CEEMD-Fuzzy Control Energy Management of Hybrid Energy Storage Systems in Electric Vehicles

• Published in: IEEE transactions on energy conversion Vol. 39; no. 1; pp. 555 - 566
• Main Authors: Shen, Yongpeng, Xie, Junchao, He, Ting, Yao, Lei, Xiao, Yanqiu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Closed loops; Complete ensemble empirical mode decomposition; Control systems design; Electric power demand; electric vehicle; Electric vehicles; Energy management; Energy storage; Fuzzy control; Fuzzy logic; fuzzy logic control; hybrid energy storage systems; Hybrid systems; Lithium; Lithium-ion batteries; Permutations; Power demand; power distribution; Rechargeable batteries; Resource management; State of charge; Storage systems; Supercapacitors; Voltage; Voltage control

To improve the performance of the energy storage system of electric vehicles, a complete ensemble empirical mode decomposition-fuzzy logic control energy management strategy is proposed to attenuate the aging of lithium-ion batteries caused by high-frequency power demand. Firstly, the electric vehic...