Affiliation of Author(s):自动化学院
Journal:IEEE TRANSACTIONS ON POWER ELECTRONICS
Key Words:Adaptive extended Kalman filter battery pack balancing current state of charge (SOC)
Abstract: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 No.:0885-8993
Translation or Not:no
Date of Publication:2018-03-01
Co-author:程祥,Lu, Zhou-Yu,Gu, Dong-Jie
Correspondence Author:zzl
Date of Publication:2018-03-01