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首页> 外文期刊>Energies >Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
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Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model

机译:基于动态电阻锂离子电池模型的电荷状态确定的二阶离散时间滑模观测器

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A second-order discrete-time sliding mode observer (DSMO)-based method is proposed to estimate the state of charge (SOC) of a Li-ion battery. Unlike the first-order sliding mode approach, the proposed method eliminates the chattering phenomenon in SOC estimation. Further, a battery model with a dynamic resistance is also proposed to improve the accuracy of the battery model. Similar to actual battery behavior, the resistance parameters in this model are changed by both the magnitude of the discharge current and the SOC level. Validation of the dynamic resistance model is performed through pulse current discharge tests at two different SOC levels. Our experimental results show that the proposed estimation method not only enhances the estimation accuracy but also eliminates the chattering phenomenon. The SOC estimation performance of the second-order DSMO is compared with that of the first-order DSMO.
机译:提出了一种基于二阶离散时间滑模观测器(DSMO)的方法来估计锂离子电池的充电状态(SOC)。与一阶滑模方法不同,该方法消除了SOC估计中的抖动现象。此外,还提出了具有动态电阻的电池模型以提高电池模型的精度。类似于实际的电池行为,该模型中的电阻参数会因放电电流的大小和SOC电平而改变。动态电阻模型的验证是通过在两种不同SOC级别下进行的脉冲电流放电测试进行的。实验结果表明,提出的估计方法不仅提高了估计精度,而且消除了抖动现象。比较了二阶DSMO和一阶DSMO的SOC估计性能。

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