State-of-charge (SOC) estimation of high power Ni-MH rechargeable battery with artificial neural network

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 2, Issue , 2002, Pages 824-828

  Cai, Chenghui ^a   Du, Dong ^a   Liu, Zhiyu ^a   Ge, Jingtian ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

artificial neural network; correlation analysis; high power Ni MH battery; input selection; state of charge

Indexed keywords

ARTIFICIAL INTELLIGENCE; BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); CONCRETE PLACING; CORRELATION METHODS; ELECTRIC BATTERIES; INFORMATION SCIENCE; NEURAL NETWORKS; NICKEL; NICKEL METAL HYDRIDE BATTERIES;

CORRELATION ANALYSIS; CORRELATION COEFFICIENT; FEEDFORWARD BACKPROPAGATION; HIGH POWER; INPUT SELECTION; LEVENBERG-MARQUARDT TRAINING ALGORITHM; SIMULATIONS AND MEASUREMENTS; STATE OF CHARGE;

SECONDARY BATTERIES;

EID: 84964435075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1198174     Document Type: Conference Paper

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