基于状态与模型参数联合估计的老化电充入电量估计方法

doi:10.19595/j.cnki.1000-6753.tces.210785

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Abstract Battery energy storage system has been widely used in power systems. In order to ensure the operation effect of the battery energy storage system, it is important to accurately estimate the battery state. The rechargeable electric quantity of the battery determines the ability of energy storage to a certain extent. However, it is difficult to accurately reflect the actual rechargeable electric quantity of the battery only using external characteristic parameters, such as voltage, current and temperature. The problem of the rechargeable electric quantity estimation of batteries in different health states has been difficult to solve, especially in different aging states. In this paper, the concept of rechargeable electric quantity is proposed, the relationship between the rechargeable electric quantity and the open circuit voltage (OCV) is constructed, and the rechargeable electric quantity affected by DC internal resistance is analyzed based on the Thevenin equivalent circuit model. Besides, a joint estimation method of battery states and model parameters is proposed based on dual adaptive dual extended Kalman filter (ADEKF), which realizes the rechargeable electric quantity estimation of the battery in any aging state. Taking three batteries with different aging states as the research object, the battery state and model parameter estimation results are verified in the federal urban driving schedule (FUDS) operating condition, and the estimation results of the rechargeable electric quantity loss are verified at 0.5C constant current charging. The experimental results show that for the new cell, the estimation error of the rechargeable electric quantity is less than 1%, and the error affected by DC internal resistance is 0.031A·h. For the aged cell, the estimation error of the rechargeable electric quantity is 2.7%, and the error affected by DC internal resistance is 0.074A·h. The comparison of the state estimation of three batteries with different aging states at 0.5C constant current charging condition further verifies the effectiveness of the proposed method for electric quantity estimation.

Key words： Lithium-ion battery aging state estimation rechargeable electric quantity

Received: 01 June 2021

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TM912

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	Sun Jinlei
	Tang Chuanyu
	Li Lei
	Zhu Jinda
	Zhu Chunbo

Cite this article:

Sun Jinlei,Tang Chuanyu,Li Lei等. An Estimation Method of Rechargeable Electric Quantity for Aging Battery Based on Joint Estimation of State and Model Parameters[J]. Transactions of China Electrotechnical Society, 2022, 37(22): 5886-5898.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.210785 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I22/5886

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