Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles

IEEE Transactions on Transportation Electrification

Volumn 2, Issue 2, 2016, Pages 140-149

  Hu, Xiaosong ^a   Li, Shengbo Eben ^b   Yang, Yalian ^a  

^a CHONGQING UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Battery management; electric vehicle (EV); energy storage; machine learning; state estimation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; CHARGING (BATTERIES); CLUSTERING ALGORITHMS; DIGITAL STORAGE; ELECTRIC VEHICLES; ENERGY STORAGE; GENETIC ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LITHIUM-ION BATTERIES; STATE ESTIMATION; TOPOLOGY;

BACKPROPAGATION LEARNING ALGORITHM; BATTERY MANAGEMENT; ELECTRIC VEHICLES (EVS); FUZZY C MEANS CLUSTERING; FUZZY MODELING METHOD; MACHINE LEARNING APPROACHES; NOVEL GENETIC ALGORITHM; RECURSIVE LEAST SQUARES ALGORITHMS;

BATTERY MANAGEMENT SYSTEMS;

EID: 85050168124     PISSN: None     EISSN: 23327782     Source Type: Journal    
DOI: 10.1109/TTE.2015.2512237     Document Type: Article

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