动车组钛酸锂电池荷电状态估计

doi:10.19595/j.cnki.1000-6753.tces.L90193

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Abstract As an emergency power supply, the battery is widely used in the auxiliary power supply system of electric multiple units (EMU). The charged state of the battery can reflect the remaining power of the battery in the charging and discharging process, which is an important parameter of the EMU battery management system. Accurate estimation of battery charged state can effectively improve the service efficiency and service life of the battery. However, the chemical reaction inside the battery is complex and difficult to measure, and most of the current charged state of the battery can only be obtained by indirect measurement and calculation. In this paper, Lithium Titanate battery of China standard EMU was taken as the research object, the second-order RC equivalent circuit model was established, and the online identification method based on Extended Kalman filtering (EKF) was studied, and the identification accuracy was compared through battery working condition experiments. In order to overcome the disadvantage of fixed noise variance in the process of conventional Kalman filtering, an adaptive Kalman filtering method was proposed to estimate the battery charged state, and its accuracy in estimating the battery charged state was verified in Matlab.

Key words： Electric multiple units (EMU) state of charge lithium Titanate battery adaptive extended Kalman filter control

Received: 30 June 2020

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TM912

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	Articles by authors
	Hao Wenmei
	Zhang Liwei
	Peng Bo
	Cai Jiao
	Yang Rui

Cite this article:

Hao Wenmei,Zhang Liwei,Peng Bo等. State of Charge Estimation of Lithium Titanate Battery for Electric Multiple Units[J]. Transactions of China Electrotechnical Society, 2021, 36(zk1): 362-371.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90193 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/Izk1/362

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