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Robust State of Charge estimation for Li-ion batteries based on Extended State Observers

机译:基于延伸状态观察者的锂离子电池的鲁棒状态

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This article proposes a novel State of Charge estimation approach for Li-Ion batteries, using Extended State Observers of Generalized Proportional Integral type. The nonlinear relationship established between the Open Circuit Voltage and the nominal state of Charge is simulated via a set of interpolating polynomials, providing a more accurate description, meaningfully improving the classic piecewise linearization results, particularly at low state of charge conditions (0 to 0.1). The proposed method is experimentally tested in a 20 [Ah] LiNiMnCoO2 battery at different discharge C-rates and noise presence. Likewise, the estimator is compared against a sliding mode estimation scheme and an Extended Kalman Filter, showing competitive results as found by an integral error based performance index measurement with a reduction of up to 35%.
机译:本文提出了一种新的锂离子电池电荷估算方法,采用广义比例整体型的延长状态观察者。通过一组内插多项式模拟开路电压和标称充电状态之间建立的非线性关系,提供更准确的描述,有意义地改善经典的分段线性化结果,特别是在电荷条件下的低状态(0至0.1) 。所提出的方法在不同放电C-rates和噪声存在下在20 [AH] LiniMnCOO2电池中进行实验测试。同样地,将估计器与滑动模式估计方案和扩展卡尔曼滤波器进行比较,示出了由基于积分误差的性能指数测量的竞争结果,其降低高达35%。

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