Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model

Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model
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DOI:
10.1109/tie.2013.2259779
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发表时间:
2014-03
影响因子:
7.7
通讯作者:
M. Gholizadeh;F. R. Salmasi
M. Gholizadeh;F. R. Salmasi
中科院分区:
计算机科学1区
文献类型:
--
作者:
M. Gholizadeh;F. R. Salmasi

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本文考虑了锂离子电池的充电状态和健康状态的估计,同时考虑了一个包含模型。该模型包括两个RC子网,分别表示终端电压的快速和慢速瞬态响应。然而,模型的线性部分是不可观测的。另一方面,该模型还考虑了开路电压随电荷状态的非线性行为。所提出的观察员解决了上述问题,以获得对电荷状态的可靠估计。此外,与使用传统滑模观测器忽略模型中的非线性或不确定性或丢弃这些项的方法相反,考虑了一种分析方法来估计模型中可加的非线性或不确定性项。这种方法可以得到在电池管理系统中使用的非常精确的电池模型。此外,提出了一种在线参数估计方法来估计电池的健康状态。该方案的优点是基于精确识别的模型,采用自适应规则对锂离子电池串联电阻进行在线估计。实验验证了所提方案的性能和可行性。
This paper considers the estimation of the state of charge and state of health for lithium-ion batteries, while an inclusive model is taken into account. The model includes two RC subnetworks, which represent the fast and slow transient responses of the terminal voltage. Nevertheless, the linear part of the model is unobservable. On the other hand, the nonlinear behavior of the open-circuit voltage versus state of charge is also included in the model. The proposed observer tackles the aforementioned problems to attain a reliable estimation of the state of charge. Moreover, as opposed to the methods in which the nonlinearities or uncertainties in the model are disregarded or those terms are discarded using a conventional sliding-mode observer, an analytical method is considered to estimate the additive nonlinear or uncertainty term in the model. This approach leads to a very accurate model of the battery to be used in a battery management system. Moreover, an online parameter estimation method is proposed to estimate the battery's state of health. The proposed scheme benefits from an adaptive rule for the online estimation of the series resistance in the lithium-ion battery based on the accurately identified model. Experimental tests certify the performance and feasibility of the proposed schemes.