Forecasting the state-of-charge of Li-ion batteries using fuzzy inference system and fuzzy identification

Ho Ta Lin, Tsorng-Juu Liang, Shih Ming Chen, Kuan Wen Li

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

This study proposes a method to forecast the state of charge (SOC) of Li-ion batteries using Fuzzy inference system and Fuzzy identification. In this study, 5 pieces of Li-Co batteries were used in this research for the life-cycle testing. The cycle testing includes CC (0.5C)/CV (4.2V) charge, CC (0.2, 0.4, 0.6, 0.8, 1C) discharge, and the rest time (one minute). The life-cycle testing indicates the relations of the voltage, the discharging time and the SOC with various life-cycles and various discharging currents. This study forecast the SOC with the data of the above, Fuzzy inference system and Fuzzy identification. This study also compares the SOC forecast accuracy using Fuzzy inference system, Fuzzy identification, and Fuzzy inference system combined with Fuzzy identification. The testing results reveal that the average error, the standard deviation, the maximum error, and the minimum error of the forecasted SOC was 0.4%, 6%, 18% and 25.1%, respectively. The 81.48% of the forecasted SOC error is within ± 5%.

原文English
主出版物標題2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012
頁面3175-3181
頁數7
DOIs
出版狀態Published - 2012 十二月 17
事件4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 - Raleigh, NC, United States
持續時間: 2012 九月 152012 九月 20

出版系列

名字2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

Other

Other4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012
國家United States
城市Raleigh, NC
期間12-09-1512-09-20

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

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