CN112415408A - 一种动力电池soc估算方法 - Google Patents
一种动力电池soc估算方法 Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113589177A (zh) * | 2021-06-29 | 2021-11-02 | 广东工业大学 | 一种车载动力电池soc估计方法 |
CN113721149A (zh) * | 2021-07-21 | 2021-11-30 | 福建星云软件技术有限公司 | 一种基于半监督迁移学习的锂电池容量预测方法 |
Citations (7)
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CN108181591A (zh) * | 2018-01-08 | 2018-06-19 | 电子科技大学 | 一种基于改进型bp神经网络的电池soc值的预测方法 |
CN108519556A (zh) * | 2018-04-13 | 2018-09-11 | 重庆邮电大学 | 一种基于循环神经网络的锂离子电池soc预测方法 |
CN110196980A (zh) * | 2019-06-05 | 2019-09-03 | 北京邮电大学 | 一种基于卷积网络在中文分词任务上的领域迁移 |
CN110412470A (zh) * | 2019-04-22 | 2019-11-05 | 上海博强微电子有限公司 | 电动汽车动力电池soc估计方法 |
CN110488202A (zh) * | 2019-07-24 | 2019-11-22 | 北京航空航天大学 | 基于深度神经网络的车辆电池荷电状态估计方法 |
CN110568361A (zh) * | 2019-09-12 | 2019-12-13 | 华中科技大学 | 一种动力电池健康状态的预测方法 |
CN111537888A (zh) * | 2020-05-09 | 2020-08-14 | 国网福建省电力有限公司莆田供电公司 | 一种数据驱动的梯次电池soc预测方法 |
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2020
- 2020-11-10 CN CN202011245524.9A patent/CN112415408A/zh active Pending
Patent Citations (7)
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CN108181591A (zh) * | 2018-01-08 | 2018-06-19 | 电子科技大学 | 一种基于改进型bp神经网络的电池soc值的预测方法 |
CN108519556A (zh) * | 2018-04-13 | 2018-09-11 | 重庆邮电大学 | 一种基于循环神经网络的锂离子电池soc预测方法 |
CN110412470A (zh) * | 2019-04-22 | 2019-11-05 | 上海博强微电子有限公司 | 电动汽车动力电池soc估计方法 |
CN110196980A (zh) * | 2019-06-05 | 2019-09-03 | 北京邮电大学 | 一种基于卷积网络在中文分词任务上的领域迁移 |
CN110488202A (zh) * | 2019-07-24 | 2019-11-22 | 北京航空航天大学 | 基于深度神经网络的车辆电池荷电状态估计方法 |
CN110568361A (zh) * | 2019-09-12 | 2019-12-13 | 华中科技大学 | 一种动力电池健康状态的预测方法 |
CN111537888A (zh) * | 2020-05-09 | 2020-08-14 | 国网福建省电力有限公司莆田供电公司 | 一种数据驱动的梯次电池soc预测方法 |
Non-Patent Citations (1)
Title |
---|
王一全: "基于LSTM-DaNN的动力电池SOC估算方法", 《储能科学与技术》, vol. 9, no. 6, pages 1969 - 1975 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113589177A (zh) * | 2021-06-29 | 2021-11-02 | 广东工业大学 | 一种车载动力电池soc估计方法 |
CN113721149A (zh) * | 2021-07-21 | 2021-11-30 | 福建星云软件技术有限公司 | 一种基于半监督迁移学习的锂电池容量预测方法 |
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