基于改进等效电路模型的高比能量储能锂电池系统功率状态估计 |
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引用本文: | 杨新波,郑岳久,高文凯,任东生,韩雪冰,欧阳明高. 基于改进等效电路模型的高比能量储能锂电池系统功率状态估计[J]. 电网技术, 2021, 45(1): 57-66 |
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作者姓名: | 杨新波 郑岳久 高文凯 任东生 韩雪冰 欧阳明高 |
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作者单位: | 上海理工大学机械工程学院,上海市杨浦区200093;汽车安全与节能国家重点实验室(清华大学),北京市海淀区100084 |
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基金项目: | 国家自然科学基金项目(51877138);上海市青年科技启明星项目(19QA1406200)。 |
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摘 要: | 针对高比能量电池大倍率下的电化学特性特殊性,用传统的等效电路模型(equivalent circuit model, ECM)估计功率状态(state of power,SOP)存在精度较低的问题,提出一种拓展的等效电路模型(extended equivalent circuit model, E-ECM)进行SOP估...
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关 键 词: | 极化内阻电流依赖性 SOP估计 等效电路模型 高比能量电池 |
Power State Estimation of High Specific Energy Storage Lithium Battery System Based on Extended Equivalent Circuit Model |
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Affiliation: | (College of Mechanical Engineering,University of Shanghai for Science and Technology,Yangpu District,Shanghai 200093,China;State Key Laboratory of Automotive Safety and Energy(Tsinghua University),Haidian District,Beijing 100084,China) |
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Abstract: | Due to the particularity of the electrochemical characteristics at high rates of high specific energy batteries, the estimation precision of the state of power(SOP) by the traditional Equivalent Circuit Model(ECM) cannot be ensured. Therefore, an extended equivalent circuit model(E-ECM) is proposed for SOP estimation. Aiming to analyze the influence of the load current of the lithium-ion power battery on the polarization internal resistance, the relationship between the polarization internal resistance and the current is established based on the tests at different rates and the method of least squares. Then, the concept of SOC deviation Dz is introduced to describe the internal diffusion pressure drop caused by the solid phase diffusion reaction. Meanwhile, the Dz of some SOC intervals are fitted and predicted. An E-ECM model considering the current dependence of polarization internal resistance and diffusion voltage drop is constructed. With the E-ECM model the SOP estimations of 10s and 180s under voltage limitation are performed. Moreover, the basic performance and SOP maximum current experiment platform for single cells are built. The analytic results show that the average error of the maximum current based on the model does not exceed 0.41% and the maximum error is about 0.51%, and that the maximum current error at DSOC in view of the prediction of the fitting is 1.47%, which verified the validity as well as accuracy of the E-ECM model for the SOP estimation, and which, furthermore, provides the theretical support for the power state estimation and control of the lithium-ion power battery management system. |
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Keywords: | polarization internal resistance current dependence SOP estimation equivalent circuit model high specific energy battery |
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