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Estimating the State-of-Charge of Lithium-Ion Battery Using an H-Infinity Observer Based on Electrochemical Impedance Model

机译:使用基于电化学阻抗模型的H-Infinity观测器估算锂离子电池的最终电池

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摘要

The lithium-ion batteries in the electric vehicles are nonlinear systems with complex electrochemical dynamics, and estimation of battery state-of-charge (SOC) is affected by factors such as environmental temperature and battery current. Considering the above problems, the accurate estimation of battery SOC has always been a difficult and the critical issue of battery management system (BMS). In this paper, the constant phase element (CPE) is introduced to the traditional time domain circuit model by analyzing the electrochemical impedance spectra of lithium-ion batteries. Accordingly, an equivalent circuit model based on electrochemical impedance is constructed by using fractional order theory, which has specific physical significant, leading to the improved estimation accuracy to represent battery voltage. Moreover, the polarization resistance in the model is replaced by Butler-Volmer (BV) equation, which can solve the problem caused by large current and temperature variation during the actual operation of electric vehicles. Next, based on the model, anH 1 observer is designed for battery SOC estimation, and the proposed SOC observer is tested by real-time experimental data of battery. The efficiency of the proposed model and observer are validated by some simulations and experiment tests.
机译:电动车辆中的锂离子电池是具有复杂电化学动力学的非线性系统,并且电池充电状态(SOC)的估计受环境温度和电池电流等因素的影响。考虑到上述问题,电池SOC的准确估计一直是电池管理系统(BMS)的困难和批判性问题。在本文中,通过分析锂离子电池的电化学阻抗光谱,将恒定相元素(CPE)引入传统的时域电路模型。因此,基于电化学阻抗的等效电路模型通过使用具有特定物理显着的分数阶理论构成,导致提高估计精度来表示电池电压。此外,模型中的偏振电阻由Butler-Volmer(BV)方程代替,其可以解决电动车辆实际操作期间电流和温度变化引起的问题。接下来,基于该模型,设计ANH 1观察者用于电池SOC估计,并且通过电池的实时实验数据测试所提出的SOC观察者。通过一些模拟和实验测试验证了所提出的模型和观察者的效率。

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