On-Line Detection Systemn of State-of-Charge in Lead Acid Battery Using Multiple Detectors

作者: Yoshifumi Morita , Sou Yamamoto , Satoshi Kakogawa , Naoki Mizuno

DOI: 10.1109/IECON.2007.4460291

关键词:

摘要: To realize a stable supply of electric power in an automobile, accurate and reliable detection method SOC (state-of-charge) lead acid battery is required. However the dynamics very complicated. The characteristics greatly change due to its degradation. Moreover automobile has many driving patterns, which are unknown beforehand. Thus it not easy detect analytically. In this paper, overcome problem, new on-line using both neural network, online identification multiple detectors proposed. order increase accuracy degraded batteries, detector changed correspondence with voltage-current characteristic battery. accuracies for different sized batteries various degradation states investigated.

参考文章(4)
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Yoshifumi Morita, Sou Yamamoto, Sun Hee Lee, Naoki Mizuno, On‐Line Detection Of State‐Of‐Charge In Lead Acid Battery Using Radial Basis Function Neural Network Asian Journal of Control. ,vol. 8, pp. 268- 273 ,(2008) , 10.1111/J.1934-6093.2006.TB00277.X
Yoshifumi Morita, Sou Yamamoto, Sun Hee Lee, Naoki Mizuno, On-Line Detection of State-of-Charge in Lead Acid Battery Using Both Neural Network and On-Line Identi cation IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics. pp. 3379- 3384 ,(2006) , 10.1109/IECON.2006.347717