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作 者:Qi ZHANG Naxin CUI Yunlong SHANG Guojing XING Chenghui ZHANG
机构地区:[1]School of Control Science and Engineering, Shandong University
出 处:《Science China(Information Sciences)》2018年第7期93-95,共3页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China (Grant Nos. 61527809, 61633015, 61320106011);Key Research and Development Program of Shandong Province (Grant No. 2016ZDJS03A02)
摘 要:Lithium-ion battery has gradually become the main power battery for electric vehicles. Battery models play an important role in battery design and safe operation. However, an accurate, intuitive, and efficient model is not available easily, because it is highly complex, nonlinear and uncertain. Battery models are divided into electrochemical model, thermal model, stochastic model, neural network model, and equivalent circuit model (ECiBaM) [1]. ECiBaMs use different physical components, such as voltage source, resister and capacitor to simulate the battery I-V characteristics. Due to the intuitive simulation and electrical design, ECiBaMs have been widely used, such as Thevenin, PNGV, and n-order RC. However, the traditional ECiBaMs did not take into account the battery nonlinear capacity. Thus, it is difficult to describe the battery run time accurately.Lithium-ion battery has gradually become the main power battery for electric vehicles. Battery models play an important role in battery design and safe operation. However, an accurate, intuitive, and efficient model is not available easily, because it is highly complex, nonlinear and uncertain. Battery models are divided into electrochemical model, thermal model, stochastic model, neural network model, and equivalent circuit model (ECiBaM) [1]. ECiBaMs use different physical components, such as voltage source, resister and capacitor to simulate the battery I-V characteristics. Due to the intuitive simulation and electrical design, ECiBaMs have been widely used, such as Thevenin, PNGV, and n-order RC. However, the traditional ECiBaMs did not take into account the battery nonlinear capacity. Thus, it is difficult to describe the battery run time accurately.
关 键 词:CF Ba Relevance between fractional-order hybrid model and unified equivalent circuit model of electric vehicle power battery OCV Figure
分 类 号:TM912[电气工程—电力电子与电力传动] TN248.4[电子电信—物理电子学]
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