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Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

机译：通过使用Adaptive H-Infinity滤波器组合增量自回归和移动平均建模的锂离子电池的在线状态

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Zheng Liu; Xuanju Dang; Hanxu Sun;
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1. Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter [J] . Liu Zheng, Dang Xuanju, Sun Hanxu Mathematical Problems in Engineering . 2018,第PTa8期

机译：通过将增量自回归和移动平均建模与自适应H-无穷大滤波器相结合，可以在线估算锂离子电池的充电状态
2. Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter [J] . Zheng Liu, Xuanju Dang, Hanxu Sun Mathematical Problems in Engineering: Theory, Methods and Applications . 2018,第a期

机译：通过使用Adaptive H-Infinity滤波器组合增量自回归和移动平均建模的锂离子电池的在线状态
3. Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter [J] . Chen Zheng, Zhao Hongqian, Shu Xing, Energy . 2021,第Auga1期

机译：基于长短期内存网络建模和自适应H-Infinity滤波器的锂离子电池的合成状态
4. Online State of Charge Estimation of Lithium-ion Battery Cells: A Multiple Model Adaptive Estimation Approach [C] . Jiayi Su, Susan Schneider, Edwin Yaz, Annual American Control Conference . 2021

机译：锂离子电池单元的在线充电状态：多模型自适应估算方法
5. Nonlinear Stochastic Filtering for Online State of Charge and Remaining Useful Life Estimation of Lithium-Ion Battery [D] . Daravath, Suresh. 2018

机译：非线性随机滤波，用于在线充电状态和锂离子电池的剩余使用寿命估算
6. Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada [O] . Tatiana Petukhova, Davor Ojkic, Beverly McEwen, 2012

机译：评估加拿大安大略省猪甲型流感病毒频率的自回归综合移动平均值（ARIMA），广义线性自回归移动平均值（GLARMA）和随机森林（RF）时间序列回归模型
7. State of Health Estimation for Lithium-ion Batteries Based on Fusion of Autoregressive Moving Average Model and Elman Neural Network [O] . Zheng Chen, Qiao Xue, Renxin Xiao, 2019

机译：基于自回归移动平均模型和ELMAN神经网络融合的锂离子电池健康估算状态
8. Maximum Likelihood Estimation of the Autoregressive Coefficients and Moving Average Covariances of Vector Autoregressive Moving Average Models. [R] . Ahrabi, F. 1979

机译：向量自回归滑动平均模型的自回归系数和移动平均协方差的极大似然估计。

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

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