CN111428433B - 基于混合滤波的锂离子电池状态计算方法 - Google Patents
基于混合滤波的锂离子电池状态计算方法 Download PDFInfo
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CN112379275A (zh) * | 2020-11-23 | 2021-02-19 | 中国电子科技集团公司第十八研究所 | 一种多参数修正的动力电池soc估计方法及估计系统 |
CN112858928B (zh) * | 2021-03-08 | 2024-02-06 | 安徽理工大学 | 一种基于在线参数辨识的锂电池soc估计方法 |
CN113985292B (zh) * | 2021-06-24 | 2024-04-19 | 重庆大学 | 基于改进耦合方式的锂离子动力电池soc双滤波估计方法 |
CN113419177B (zh) * | 2021-07-29 | 2022-09-13 | 江苏大学 | 基于结合改进的粒子群算法的扩展卡尔曼滤波soc估算方法 |
CN113625177A (zh) * | 2021-08-06 | 2021-11-09 | 国网安徽省电力有限公司滁州供电公司 | 一种基于粒子群优化粒子滤波算法的soc估算方法 |
Citations (6)
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WO2014119123A1 (en) * | 2013-01-29 | 2014-08-07 | Mitsubishi Electric Corporation | Method for estimating state of charge for lithium-ion batteries |
CN107390127A (zh) * | 2017-07-11 | 2017-11-24 | 欣旺达电动汽车电池有限公司 | 一种soc估算方法 |
CN108445402A (zh) * | 2018-02-28 | 2018-08-24 | 广州小鹏汽车科技有限公司 | 一种锂离子动力电池荷电状态估计方法及系统 |
CN108872870A (zh) * | 2018-06-21 | 2018-11-23 | 浙江工业大学 | 一种基于粒子群优化扩展卡尔曼滤波算法的锂电池soc估算方法 |
CN110361652A (zh) * | 2019-06-26 | 2019-10-22 | 河南理工大学 | 一种基于模型参数优化的卡尔曼滤波锂电池soc估计方法 |
CN110395141A (zh) * | 2019-06-27 | 2019-11-01 | 武汉理工大学 | 基于自适应卡尔曼滤波法的动力锂电池soc估算方法 |
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Patent Citations (6)
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WO2014119123A1 (en) * | 2013-01-29 | 2014-08-07 | Mitsubishi Electric Corporation | Method for estimating state of charge for lithium-ion batteries |
CN107390127A (zh) * | 2017-07-11 | 2017-11-24 | 欣旺达电动汽车电池有限公司 | 一种soc估算方法 |
CN108445402A (zh) * | 2018-02-28 | 2018-08-24 | 广州小鹏汽车科技有限公司 | 一种锂离子动力电池荷电状态估计方法及系统 |
CN108872870A (zh) * | 2018-06-21 | 2018-11-23 | 浙江工业大学 | 一种基于粒子群优化扩展卡尔曼滤波算法的锂电池soc估算方法 |
CN110361652A (zh) * | 2019-06-26 | 2019-10-22 | 河南理工大学 | 一种基于模型参数优化的卡尔曼滤波锂电池soc估计方法 |
CN110395141A (zh) * | 2019-06-27 | 2019-11-01 | 武汉理工大学 | 基于自适应卡尔曼滤波法的动力锂电池soc估算方法 |
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