| 引用本文: | 龙鑫林,严康为,鲁军勇,等.电磁发射电池组杂散电感提取方法.[J].国防科技大学学报,2021,43(4):44-52.[点击复制] |
| LONG Xinlin,YAN Kangwei,LU Junyong,et al.Stray inductance extraction method for battery pack in electromagnetic launch[J].Journal of National University of Defense Technology,2021,43(4):44-52[点击复制] |
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| 电磁发射电池组杂散电感提取方法 |
| 龙鑫林,严康为,鲁军勇,柳应全,周仁 |
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(海军工程大学 舰船综合电力技术国防科技重点实验室, 湖北 武汉 430033)
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| 摘要: |
| 在电磁发射锂离子电池储能系统中,电池组杂散电感的准确提取对合理设计系统方案具有重要意义。针对该需求,对电池组脉冲放电过程进行建模与分析,得到适合杂散电感提取的放电阶段。通过将离散傅里叶变换求解数值微分的方法更改为滑动窗递推形式,并与多新息最小二乘算法结合,从而提出一种可充分利用波形数据的杂散电感提取方法。通过实际的电池组脉冲放电测试波形对该方法进行验证,结果表明该方法相比传统方法能更加准确、可靠地提取电池组的杂散电感,在不同放电电流下的提取结果具有很好的一致性。 |
| 关键词: 电磁发射 电池组 杂散电感 数值微分 多新息 |
| DOI：10.11887/j.cn.202104007 |
| 投稿日期：2020-05-10 |
| 基金项目:国家自然科学基金资助项目(51925704,51877214,51607187,51907203)；湖北省自然科学基金资助项目(2019CFB371,2019CFB373)；中国博士后特别资助基金项目(2019T120972) |
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| Stray inductance extraction method for battery pack in electromagnetic launch |
| LONG Xinlin, YAN Kangwei, LU Junyong, LIU Yingquan, ZHOU Ren |
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(National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan 430033, China)
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| Abstract: |
| In a lithium-ion battery energy storage system for electromagnetic launch, the accurate extraction of the battery pack stray inductance is significant for designing a reasonable system solution. To meet this demand, the process of battery pack pulse discharge was modeled and analyzed, and the discharge stage suitable for stray inductance extraction was obtained. The method of solving the numerical differentiation by discrete Fourier transform was changed to the sliding-window recursive form, which was combined with multi-innovation least square algorithm, so a novel stray inductance extraction method was proposed, which can make full use of waveform data. Experimental results show that this method can extract stray inductance more accurately and reliably than the traditional method, and the calculation results are consistent under different discharge currents. |
| Keywords: electromagnetic launch battery pack stray inductance numerical differentiation multi-innovation |
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