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所属单位：自动化学院

发表刊物：IEEE TRANSACTIONS ON POWER ELECTRONICS

关键字：Adaptive extended Kalman filter battery pack balancing current state of charge (SOC)

摘要：The state-of-charge (SOC) estimation approaches based on the pack model can hardly provide precise estimation due to cell difference, while the approaches based on each cell cost high computation resource, which are not suitable for real-time application. The estimation error can be further enlarged without considering balancing current. The SOC estimation approach of the battery pack considering balancing current is proposed, which dynamically searches for the cell with maximum or minimum voltage, and it only needs to calculate the selected cell in every estimation cycle. Compared to the approaches based on the pack model or each single cell, this approach can achieve precise pack SOC and cost less calculation time and resource. It has been verified with ten series-connected 200 Ah Li(NiCoMn)O-2 batteries. The SOC estimation error is limited to 0.3% during the charging process, and a reduction of 2.5% is achieved compared to an error of 2.8% based on the pack model. A reduction of 1% is achieved compared to an error of 1.5% based on the pack model during the discharging process. Compared to an error of 1.7% without considering balancing current, a reduction of 1.4% is achieved during the charging process.

ISSN号：0885-8993

是否译文：否

发表时间：2018-03-01

合写作者：程祥,Lu, Zhou-Yu,Gu, Dong-Jie

通讯作者：张之梁