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Estimating the State-of-Charge of Lithium-Ion Batteries Using an H-Infinity Observer with Consideration of the Hysteresis Characteristic

机译:使用H-Infinity观察者考虑滞后特性估算锂离子电池的最终负荷

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摘要

The conventional methods used to evaluate battery state-of-charge (SOC) cannot accommodate the chemistry nonlinearities, measurement inaccuracies and parameter perturbations involved in estimation systems. In this paper, an impedance-based equivalent circuit model has been constructed with respect to a LiFePO4 battery by approximating the electrochemical impedance spectrum (EIS) with RC circuits. The efficiencies of approximating the EIS with RC networks in different series-parallel forms are first discussed. Additionally, the typical hysteresis characteristic is modeled through an empirical approach. Subsequently, a methodology incorporating an H-infinity observer designated for open-circuit voltage (OCV) observation and a hysteresis model developed for OCV-SOC mapping is proposed. Thereafter, evaluation experiments under FUDS and UDDS test cycles are undertaken with varying temperatures and different current-sense bias. Experimental comparisons, in comparison with the EKF based method, indicate that the proposed SOC estimator is more effective and robust. Moreover, test results on a group of Li-ion batteries, from different manufacturers and of different chemistries, show that the proposed method has high generalization capability for all the three types of Li-ion batteries.
机译:用于评估电池充电状态(SOC)的传统方法不能适应估计系统中涉及的化学非线性,测量不准确性和参数扰动。在本文中,通过用RC电路近似电化学阻抗谱(EIS)来构建基于阻抗的等效电路模型。首先讨论将与RC网络近似于不同串行平行形式的EIS的效率。另外,典型的滞后特性是通过经验方法建模的。随后,提出了一种包含用于开路电压(OCV)观察的H-Infinity观察者的方法和为OCV-SOC映射开发的滞后模型。此后,具有不同温度和不同电流检测偏差的福署和UDDS测试循环的评估实验。实验比较与基于EKF的方法相比,表明所提出的SOC估计器更有效和强大。此外,测试结果来自不同制造商和不同化学物质的一组锂离子电池,表明该方法对所有三种类型的锂离子电池具有高的概括能力。

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