A method of calculating the SOC of power batteries based on fuzzy neural network

被引:0
作者
Peng Zhiyuan [1 ]
Yang Yalian [1 ]
Hu Minghui [1 ]
Qin Datong [1 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 630044, Peoples R China
来源
Proceedings of the International Conference on Mechanical Transmissions, Vols 1 and 2 | 2006年
关键词
Ni-MH batteries; hybrid-electric-vehicle; state of charge; variation current; fuzzy neural network;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A new estimate method is proposed to describe the state of the batteries in hybrid-electric-vehicle (HEV) in this paper. The batteries are Ni-MH batteries that have a normal capacity of about 6.5 Ah, and are used in a kind of HEV. The HEV application is a very harsh environment with high charge or discharge rates and very dynamic rate profiles. The normal definition method state of charge(SOC) that work well in begin portable electronic applications may not work well in the HEV application. The normal definition of SOC cannot contain both the static and the dynamic message of the batteries in the only word. In the new definition method, the SOC is calculated applying Fuzzy Neural Network. This SOC indicates not only the static capacity message of the batteries, but also the dynamic state of charge while charging or discharging.
引用
收藏
页码:632 / 637
页数:6
相关论文
共 50 条
  • [41] Fuzzy neural-network-based controller
    Gücüyener, İsmet
    Solid State Phenomena, 2015, 220-221 : 407 - 412
  • [42] A rule based fuzzy-neural network
    Wu, XB
    Xu, ZL
    Shi, L
    Yu, WQ
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 1642 - 1645
  • [43] Deep convolutional neural network based closed-loop SOC estimation for lithium-ion batteries in hierarchical scenarios
    Wang, Qiao
    Ye, Min
    Wei, Meng
    Lian, Gaoqi
    Li, Yan
    ENERGY, 2023, 263
  • [44] A method of network public opinion prediction based on the model of grey forecasting and hybrid fuzzy neural network
    Chen, Xuegang
    Duan, Sheng
    Li, Shanglin
    Liu, Dong
    Fan, Hongbin
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (35) : 24681 - 24700
  • [45] A method of network public opinion prediction based on the model of grey forecasting and hybrid fuzzy neural network
    Xuegang Chen
    Sheng Duan
    Shanglin Li
    Dong Liu
    Hongbin Fan
    Neural Computing and Applications, 2023, 35 : 24681 - 24700
  • [46] A Fuzzy Neural Network Approach to Estimate PMSG based and DFIG based Wind Turbines' Power Generation
    Demirdelen, Tugce
    Bakmaz, Emel
    Tumay, Mehmet
    2017 SEVENTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH 2017), 2017, : 101 - 106
  • [47] Network operation situation awareness based on Fuzzy Neural Network
    Fu, Zhongyang
    Li, Xingming
    2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1, 2018, : 204 - 207
  • [48] A carbonate fluid identification method based on quantum particle swarm fuzzy neural network
    Liu Li-Feng
    Sun Zan-Dong
    Han Jian-Fa
    Zhao Hai-Tao
    Neng Yuan
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2014, 57 (03): : 991 - 1000
  • [49] Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network
    Wang, Jun
    Yu, Airong
    Cao, Lei
    Yang, Fei
    ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 1, 2011, 128 : 401 - +
  • [50] The study of traversal controller design method based fuzzy neural network for intelligent vehicle
    Huang Jinying
    Ruan Jiuhong
    Yang Xiwang
    Pan Hongxia
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2705 - 2709