Fuzzy neural network genetic approach to design the SOC estimator for battery powered electric scooter

Yuang Shung Lee, Tsung Yuan Kuo, Wei-Yen Wang

研究成果: 書貢獻/報告類型會議貢獻

11 引文 斯高帕斯(Scopus)

摘要

This paper presents a new method for estimating the individual battery state-of-charge (SOC) of electric scooter (ES). The proposed method is to model ES batteries by using the fuzzy inference neural network system. A reduced form genetic algorithm (RGA) is employed to tune control point of the B-spline membership functions (BMFs) and the weightings of the fuzzy neural network (FNN). The proposed FNN with RGA (FNNRGA) optimization approach can achieve the faster learning rate and lower estimating error than the conventional gradient descent method. The validity of the SOC estimator is further verified by a constructed multiple input multiple output (MIMO) FNN structure for estimating the SOCs of battery powered ES. A fixed velocity discharging profiles of the ES batteries are investigated to train the FNN for precise estimating the SOCs of the battery strings. Furthermore, a testing data profile is used to demonstrate the superior robust and over-fitting suppressed performance of the proposed method. The estimated SOCs are directly compared with the actual SOCs under different FNN methods, verifying the accuracy and the effectiveness of the proposed intelligent modeling method.

原文英語
主出版物標題2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC04
頁面2759-2765
頁數7
DOIs
出版狀態已發佈 - 2004 十一月 29
事件2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC04 - Aachen, 德国
持續時間: 2004 六月 202004 六月 25

出版系列

名字PESC Record - IEEE Annual Power Electronics Specialists Conference
4
ISSN(列印)0275-9306

其他

其他2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC04
國家德国
城市Aachen
期間04/6/2004/6/25

ASJC Scopus subject areas

  • Modelling and Simulation
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • 引用此

    Lee, Y. S., Kuo, T. Y., & Wang, W-Y. (2004). Fuzzy neural network genetic approach to design the SOC estimator for battery powered electric scooter. 於 2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC04 (頁 2759-2765). (PESC Record - IEEE Annual Power Electronics Specialists Conference; 卷 4). https://doi.org/10.1109/PESC.2004.1355270