一个铅酸电池剩余放电时间模型构建及预测
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摘要
铅酸电池目前被广泛应用,电池的持续供电时间是人们关注的焦点。本文运用了同一批铅酸电池放电测试数据,分别建立了不同电流强度时,电池剩余电压与放电时间数学模型。计算了不同电流强度下放电时间的平均相对误差(MRE),对五种不同电流强度下电池的剩余放电时间进行了计算。并预测了电流强度为55A时放电曲线的回归方程和曲线图,拟合了新电池和处于衰减状态3电池放电模型。在绿色发展理念下,各类蓄电池应越来越广泛,该建模和预测方法可用于其他类型蓄电池放电时间预测。
Lead-acid batteries are widely used at present,the continuous power supply time of the battery is the focus of people's attention.In this paper,the mathematical models of residual voltage and discharge time of lead-acid batteries under different current intensities are studied by using the discharge test data of the same batch of lead-acid batteries.The mean relative error(MRE)of discharge time at different current intensities was calculated,and the remaining discharge time at five current intensities was calculated.At the same time,the regression equation and graph of discharge curve are predicted when the current intensity is 55 A,the new battery and the 3 battery discharge model in attenuation state were fitted.Under the concept of green development,various types of battery should be used,the method of this paper can be used to predict the discharge time of other batteries.
Lead-acid batteries are widely used at present,the continuous power supply time of the battery is the focus of people's attention.In this paper,the mathematical models of residual voltage and discharge time of lead-acid batteries under different current intensities are studied by using the discharge test data of the same batch of lead-acid batteries.The mean relative error(MRE)of discharge time at different current intensities was calculated,and the remaining discharge time at five current intensities was calculated.At the same time,the regression equation and graph of discharge curve are predicted when the current intensity is 55 A,the new battery and the 3 battery discharge model in attenuation state were fitted.Under the concept of green development,various types of battery should be used,the method of this paper can be used to predict the discharge time of other batteries.
引文
[1]关于印发电动汽车科技发展“十二五”专项规划的通知[EB/ON].http://www.most.gov.cn/tztg/201204/t20120420_93807.htm,2012-04-20/2019-01-10.
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[3]贺乃宝.对铅酸蓄电池容量检测方法的探讨[J].淮海工学院学报(自然科学版),2003(03):28-30.
[4]周秀文.电动汽车锂离子电池健康状态估计及寿命预测方法研究[D].吉林大学,2016.
[5]武国良.电动汽车用镍氢电池剩余电量估计方法研究[D].哈尔滨:哈尔滨工业大学,2010:6-15.
[6] 2016年高教社杯全国大学生数学建模竞赛赛题http://www.mcm.edu.cn/html_cn/node/6d026d84bd785435f92e3079b4a87a2b.html.
[7]刘志红.统计分析与应用[M],北京:电子工业出版社,2016:100-118.
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[10]黄崑等.Excel统计分析基础教程[M],北京:清华大学出版社,2011:233-242.
[2]朱莹,秦红梅.基于生态足迹模型的扬州市可持续发展能力分析[J].扬州教育学院学报,2017,35(04):27-30.
[3]贺乃宝.对铅酸蓄电池容量检测方法的探讨[J].淮海工学院学报(自然科学版),2003(03):28-30.
[4]周秀文.电动汽车锂离子电池健康状态估计及寿命预测方法研究[D].吉林大学,2016.
[5]武国良.电动汽车用镍氢电池剩余电量估计方法研究[D].哈尔滨:哈尔滨工业大学,2010:6-15.
[6] 2016年高教社杯全国大学生数学建模竞赛赛题http://www.mcm.edu.cn/html_cn/node/6d026d84bd785435f92e3079b4a87a2b.html.
[7]刘志红.统计分析与应用[M],北京:电子工业出版社,2016:100-118.
[8]肖文博.Excel在统计中的应用[M],北京:北京理工大学出版社,2012:130-145.
[9]庄君等.Excel统计分析与应用[M],北京:电子工业出版社,2013:171-184.
[10]黄崑等.Excel统计分析基础教程[M],北京:清华大学出版社,2011:233-242.