基于谐波阻抗测量在线估测蓄电池荷电状态
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1.深圳清华大学研究院光机电一体化重点实验室深圳518057;2. 深圳大学机电与控制工程学院深圳电磁控制重点实验室深圳518060

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TM912.6

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国家自然科学基金青年科学基金(61101149)项目


Harmonic impedance measurement based online estimation for SOC of storage battery
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1.Optomechatronics Key Lab, Research Institute of Tsinghua University in Shenzhen,Shenzhen 518057, China;2.Research Institute of Electromagnetic Control, College of Mechatronics and Control Engineering,ShenZhen University,Shenzhen 518060 China

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    摘要:

    现行内阻法估测蓄电池荷电状态时,需要对被测蓄电池实施大电流放电操作以测量其欧姆内阻,在线检测时可能对用电负载造成安全隐患。针对这一问题,提出一种基于谐波阻抗测量技术在线估测蓄电池荷电状态的方法:对被测蓄电池实施周期性的小电流放电操作,测量放电过程中的放电电流与蓄电池端电压,经傅里叶分析计算出蓄电池的谐波阻抗,对谐波阻抗数据进行数值拟合得到蓄电池的欧姆内阻,最终实现对蓄电池荷电状态的在线估测,从而避免现行方法所需要的大电流放电操作。

    Abstract:

    Large current discharge to battery, which is required in order to measure the ohmic internal resistance for stateof charge(SOC) estimation adopted by conventional internal resistance method, may pose security risks to electrical load during online operation. To solve this problem, this paper proposes a technique based on harmonic impedance measurement technology to estimate storage battery SOC online: discharges the objective storage batteries with periodic and small current, measuring the discharge current and terminal voltage of the battery during the discharge process, calculate the harmonic impedance of the storage battery according to Fourier analysis technique, least squares method is used for numerical simulation of harmonic impedance data to get the objective battery ohmic resistance, and finally realizes the online estimation for the storage battery SOC without the large current discharge operation required in conventional methods.

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胡益民,曹亚杰,敬刚,刘岩.基于谐波阻抗测量在线估测蓄电池荷电状态[J].电子测量技术,2015,38(7):94-96

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  • 在线发布日期: 2016-05-27
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