Abstract：When the EVs work in the low temperature areas, the performance of battery pack will decline. Low temperature has a big impact on the charge/discharge capacity of battery pack. In order to ensure the EVs can work normally in low temperature areas, accurate SOC estimation is essential. In this paper, an improved ampere-hour counting method which is suitable for different temperature conditions is proposed. This algorithm mainly considers the available capacity variation of battery at different temperature impacts on SOC estimation. In addition, SOC can be converted at different temperatures. Through the platform experimental verification, this algorithm has high accuracy in different temperature environment.
冯飞, 逯仁贵, 朱春波. 一种锂离子电池低温SOC估计算法[J]. 电工技术学报, 2014, 29(7): 53-58.
Feng Fei, Lu Rengui, Zhu Chunbo. State of Charge Estimation of Li-Ion Battery at Low Temperature. Transactions of China Electrotechnical Society, 2014, 29(7): 53-58.
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