Prediction of residual capacity of MH/Ni batteries based on neural network

Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

Volumn 35, Issue 11, 2003, Pages 1405-1408

  Deng, Chao ^a   Shi, Peng Fei ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

BP neural network; NH Ni battery; Residual capacity

Indexed keywords

BACKPROPAGATION; ELECTROCHEMISTRY; FORECASTING; HYDRIDES; MATHEMATICAL MODELS; NEURAL NETWORKS;

NICKEL METAL HYDRIDE BATTERIES; RESIDUAL CAPACITY;

NICKEL CADMIUM BATTERIES;

EID: 1642364952     PISSN: 03676234     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. ZHAN F, JIANG L J, WU B R, et al. Characteristics of Ni/MH power batteries and its application to electric vehicles [J]. Journal of Alloys and Compounds, 1999, 293-295: 804-808.
2. GU W B, WANG C Y, LI S M, et al. Modeling discharge and charge characteristics of nickel metal hydride batteries [J]. Electrochimica Acta, 1999, 44: 4525-4541.
3. WU B, WHITE R E. A procedure for serial simulation of electrochemical processes: cycling of electrodes and batteries [J]. Journal of Power Sources, 2001, 92: 177-186.
4. GOMADAM P M, WEIDNER J W, DOUGAL R A, et al. Mathematical modeling of lithium-ion and nickel battery system [J]. Journal of Power Sources, 2002, 110: 267-284.