CN110007239B - 一种基于神经网络数据挖掘算法的蓄电池组预测方法和*** - Google Patents
一种基于神经网络数据挖掘算法的蓄电池组预测方法和*** Download PDFInfo
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CN114646880A (zh) * | 2022-04-13 | 2022-06-21 | 中国铁塔股份有限公司江西省分公司 | 一种铅酸电池智能诊断方法及*** |
CN116467938A (zh) * | 2023-04-07 | 2023-07-21 | 北京众谊越泰科技有限公司 | 一种基于人工智能的蓄电池故障及使用寿命预测的方法 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080195235A1 (en) * | 2006-12-19 | 2008-08-14 | Chevron U.S.A. Inc. | System, method and program for dynamic control and optimization of a process having manipulated and controlled variables |
CN104614679A (zh) * | 2015-01-22 | 2015-05-13 | 哈尔滨龙易电气有限公司 | 一种曲线拟合式蓄电池剩余容量测量方法 |
CN106093778A (zh) * | 2016-05-30 | 2016-11-09 | 浙江南都电源动力股份有限公司 | 电池状态预测方法及*** |
CN108646192A (zh) * | 2018-05-11 | 2018-10-12 | 合肥国轩高科动力能源有限公司 | 一种构建锂离子电池卷芯电路模型的方法 |
CN108875158A (zh) * | 2018-05-31 | 2018-11-23 | 浙江工业大学 | 一种基于多项式函数拟合和bp神经网络的电池放电时间预测方法 |
CN109031147A (zh) * | 2018-08-21 | 2018-12-18 | 湖南兴业绿色电力科技有限公司 | 一种磷酸铁锂电池组的soc估算方法 |
CN109375109A (zh) * | 2018-10-16 | 2019-02-22 | 宁波工程学院 | 一种基于数据挖掘的蓄电池故障诊断方法 |
-
2019
- 2019-04-24 CN CN201910334507.3A patent/CN110007239B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080195235A1 (en) * | 2006-12-19 | 2008-08-14 | Chevron U.S.A. Inc. | System, method and program for dynamic control and optimization of a process having manipulated and controlled variables |
CN104614679A (zh) * | 2015-01-22 | 2015-05-13 | 哈尔滨龙易电气有限公司 | 一种曲线拟合式蓄电池剩余容量测量方法 |
CN106093778A (zh) * | 2016-05-30 | 2016-11-09 | 浙江南都电源动力股份有限公司 | 电池状态预测方法及*** |
CN108646192A (zh) * | 2018-05-11 | 2018-10-12 | 合肥国轩高科动力能源有限公司 | 一种构建锂离子电池卷芯电路模型的方法 |
CN108875158A (zh) * | 2018-05-31 | 2018-11-23 | 浙江工业大学 | 一种基于多项式函数拟合和bp神经网络的电池放电时间预测方法 |
CN109031147A (zh) * | 2018-08-21 | 2018-12-18 | 湖南兴业绿色电力科技有限公司 | 一种磷酸铁锂电池组的soc估算方法 |
CN109375109A (zh) * | 2018-10-16 | 2019-02-22 | 宁波工程学院 | 一种基于数据挖掘的蓄电池故障诊断方法 |
Non-Patent Citations (4)
Title |
---|
《State of charge modeling of lithium-ion batteries using dual exponential functions》;Ting-JungKuo等;《Journal of Power Sources》;20160531;全文 * |
《基于指数函数的电池剩余放电时间预测模型》;侯国亮等;《长春师范大学学报》;20181031;全文 * |
《铅酸电池放电曲线的一种数学模型》;王红喜等;《延安职业技术学院学报》;20170228;全文 * |
F.Quiñones等.《Remaining discharge-time prediction for batteries using the Lambert function》.《Journal of Power Sources》.2018, * |
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