Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
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高精度实时同时估算多电芯SOC算法研究
DOI：
10.1155/2017/5390149
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发表时间：
2017-08
影响因子：
1.7
通讯作者：
罗勇
中科院分区：
文献类型：
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作者：
罗勇
在传统的电池均衡策略中，利用电池单体的开路电压（OCV）来判断电池单体荷电状态的差异。然而，OCV不仅由SOC决定，还受到内阻、极化电压、容量等非线性因素的影响。因此，OCV并不是一个理想的SOC差异指标，特别是在瞬态条件下。为了准确地控制电池一致性，最好直接使用SOC作为电池一致性判断和控制的标准。为了实现这一目标，需要一种计算复杂度低、精度高的算法来同时估计多个电池的SOC。由于电池控制单元（Battery Control Unit， BCU）计算速度的限制，现有的荷电状态估计方法难以同时高精度地估计每个电池单体的荷电状态。本研究提出了一种新的电池荷电状态估计策略，可同时估计多个电池单体的荷电状态，实现电池均衡控制。基于实验数据建立了电池模型，建立了处理器在环测试系统，验证了所提算法的实际性能。仿真和测试结果表明，该算法能够同时估计多个电池的荷电状态，实时性好，精度高。
In traditional battery equalization strategy, open-circuit voltage (OCV) of battery cells was used to judge the difference of SOC between them. However, OCV is not only determined by SOC but also influenced by internal resistance, polarization voltage, capacity, and other nonlinear factors. As a result, OCV is not an ideal indicator of SOC differences, especially in transient conditions. In order to control battery consistency accurately, it is best to use SOC directly as standard for battery consistency judgment and control. To achieve this, an algorithm that can estimate SOC of multiple battery cells simultaneously with low computational complexity and high accuracy is needed. Limited by computing speed of Battery Control Unit (BCU), existing SOC estimation method is hard to estimate SOC of each battery cell simultaneously with high accuracy. In this research, a new SOC estimation strategy was proposed to estimate SOC of multiple battery cells simultaneously for battery equalization control. Battery model is established based on experimental data, and a processor-in-the-loop test system was established to verify the actual performance of the proposed algorithm. Results of simulation and test indicate that the proposed algorithm can estimate SOC of multiple battery cells simultaneously and achieved good real-time performance and high accuracy.
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影响因子：
--
作者：
Devshree Kumar;G. Kumaresan
通讯作者：
Devshree Kumar;G. Kumaresan
影响因子：
11.2
作者：
Yujie Wang;Chenbin Zhang;Zonghai Chen;Xie Jing;Xu Zhang
通讯作者：
Yujie Wang;Chenbin Zhang;Zonghai Chen;Xie Jing;Xu Zhang
DOI：
10.11591/telkomnika.v10i7.1561
发表时间：
2012-11
影响因子：
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作者：
Tiezhou Wu;Lunan Liu;Qingmei Xiao;Q. Cao;Xieyang Wang
通讯作者：
Tiezhou Wu;Lunan Liu;Qingmei Xiao;Q. Cao;Xieyang Wang
DOI：
10.3390/en8031830
发表时间：
2013-11
期刊：
2013 IEEE Vehicle Power and Propulsion Conference (VPPC)
影响因子：
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作者：
D. Zhang;S. Qiu;G. Zhu;Y. Ma;W. Chen;S. C. Wong
通讯作者：
D. Zhang;S. Qiu;G. Zhu;Y. Ma;W. Chen;S. C. Wong
基于误差敏感性分析的锂离子电池组荷电状态在线鲁棒估计
影响因子：
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作者：
Ting Zhao;Jiuchun Jiang;Caiping Zhang
通讯作者：
Caiping Zhang