The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection
The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection
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DOI：
10.1016/j.energy.2019.116732
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
Ziyou Song;Xiaogang Wu;Xuefeng Li;Jun Hou;H. Hofmann;Jing Sun
中科院分区：
文献类型：
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作者：
Ziyou Song;Xiaogang Wu;Xuefeng Li;Jun Hou;H. Hofmann;Jing Sun
当同时估计锂离子电池的荷电状态、健康状态和参数时，由于估计过程中的不确定性，难以保证估计的准确性。本文提出了一种顺序算法，该算法使用频率尺度分离并通过注入不同频率的电流来顺序估计参数/状态，以提高估计性能。具体来说，通过合并高通滤波器，可以通过分别注入高频和中频电流来独立表征参数。使用估计的参数，可以同时估计电池容量和充电状态。实验结果表明，所提出的顺序算法的估计精度比同时估计所有参数/状态的并发算法要好得多，并且计算成本也可以降低。最后，在不同温度下进行实验，以验证所提出的算法对于不同电池容量的有效性。
When the State of Charge, State of Health, and parameters of a Lithium-ion battery are estimated simultaneously, estimation accuracy is hard to be ensured due to uncertainties in the estimation process. A sequential algorithm, which uses frequency-scale separation and estimates parameters/states sequentially by injecting currents with different frequencies, is proposed in this paper to improve estimation performance. Specifically, by incorporating a high-pass filter, the parameters can be independently characterized by injecting high-frequency and medium-frequency currents, respectively. Using the estimated parameters, battery capacity and State of Charge can then be estimated concurrently. Experimental results show that the estimation accuracy of the proposed sequential algorithm is much better than the concurrent algorithm where all parameters/states are estimated simultaneously, and the computational cost can also be reduced. Finally, experiments are conducted at different temperatures to verify the effectiveness of the proposed algorithm for varying battery capacities.