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作 者:代红丽 张潇 谢健 刘伟 胡顺仁 DAI Hongli;ZHANG Xiao;XIE Jian;LIU Wei;HU Shunren(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 400054,China)
机构地区:[1]重庆理工大学电气与电子工程学院,重庆400054
出 处:《电源技术》2022年第2期216-219,共4页Chinese Journal of Power Sources
基 金:国家自然科学基金(61601069);重庆市教委科学技术研究计划项目(KJQN202001110)。
摘 要:Peukert模型已被广泛用于铅酸电池、锂电池等储能元件的状态估计。然而,现有研究缺乏对低功耗设备常用储能元件和小电流工况的考虑,并且忽略了储能元件之间的横向对比分析。基于此,在小电流工况下,通过恒阻放电实验拟合建立了超级电容、碱性电池和锂亚电池的Peukert模型,验证并对比分析了Peukert模型对这三类储能元件的适用性。实验结果表明,在目标工况下,Peukert模型对这三类储能元件均适用,其平均相对误差分别为5.891%、2.898%和2.931%,Peukert模型用于碱性电池和锂亚电池状态估计的准确性比超级电容高。The Peukert model has been widely used for state estimation of lead-acid batteries,lithium batteries and other energy storage components.However,the existing studies lack consideration of commonly used energy storage components and low current conditions for low power devices.The horizontal comparative analysis among energy storage components is also ignored.Based on this,the constant resistance discharge experiments under low current conditions were conducted for supercapacitor,alkaline battery and lithium-thionyl chloride battery and their Peukert models were fitted.The applicability of the Peukert models was verified and compared.The experimental results show that under the target operating conditions,the Peukert model is applicable to all these three energy storage components,and the average relative estimation errors are 5.891%,2.898%and 2.931%,respectively.The state estimation accuracy of the Peukert model is higher for alkaline battery and lithium-thionyl chloride battery than that for supercapacitor.
关 键 词:Peukert模型 超级电容 碱性电池 锂亚电池 低功耗设备
分 类 号:TM91[电气工程—电力电子与电力传动]
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