Study on material-structure-performance cross-scale correlation effect of power battery

doi:10.3785/j.issn.1006-754X.2024.03.303

Chinese Journal of Engineering Design

2024, Vol. 31

Issue (1): 120-129 DOI: 10.3785/j.issn.1006-754X.2024.03.303

Multidisciplinary Simulation and Optimization Design

Study on material-structure-performance cross-scale correlation effect of power battery

Zhi ZHANG¹(

),Yangang ZHANG¹(

),Meiwen CAO²,Jianjun CHEN²,Zhiqiang YANG²,Jushou GUO²

^1.School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
^2.The North General Power Group Co. , Ltd. , Datong 037036, China

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Abstract

Power battery is the core component of new energy vehicle, and its electrochemical and thermal performances are the key to the large-scale promotion and application of new energy vehicle. However, the electrochemical and thermal performances at the macro scale are affected not only by the electrode material characteristics at the micro scale, but also by the battery structural parameters at the mesoscale. In order to reveal the influence mechanism of battery material parameters, electrode structure parameters and battery working parameters on the performance of power battery, taking 18650 nickel-cobalt-manganese ternary power battery lithium as the research object, the influence law of the above parameters on the electrochemical and thermal performances of power battery was explored by constructing the battery electrochemical-thermal coupling model. The material-structure-performance cross-scale correlation effect of power battery was analyzed comprehensively. The results showedt hat the effects of battery material parameters, electrode structural parameters and battery working parameters on the performances of power battery had the characteristic of strong cross-scale correlation.The design and performance optimization of power battery at a single scale can not achieve optimal results, and the material-structure-performance cross-scale design and optimization is the fundamental way to improve the safety and dynamic performances of power battery.

Key words： power battery electrochemical-thermal coupling model cross scale correlation electrochemical performance thermal performance

Received: 28 October 2023 Published: 04 March 2024

CLC:

TM 912

Corresponding Authors: Yangang ZHANG E-mail: 1187080251@qq.com;zyg31124@163.com

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	Zhi ZHANG
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	Jushou GUO

Cite this article:

Zhi ZHANG,Yangang ZHANG,Meiwen CAO,Jianjun CHEN,Zhiqiang YANG,Jushou GUO. Study on material-structure-performance cross-scale correlation effect of power battery. Chinese Journal of Engineering Design, 2024, 31(1): 120-129.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2024.03.303 OR https://www.zjujournals.com/gcsjxb/Y2024/V31/I1/120

动力电池材料—结构—性能跨尺度关联效应研究

动力电池是新能源汽车的核心部件，其电化学性能和热性能是决定新能源汽车能否规模化推广应用的关键，然而宏观尺度下的电化学性能和热性能既受到微观尺度下的电极材料特性的影响，又受到介观尺度下的电池结构参数的影响。为了揭示电池材料参数、电极结构参数和电池工作参数对动力电池性能的影响机理，以18650型镍钴锰三元动力电池锂为研究对象，通过构建电池电化学-热耦合模型，分别探究了上述各参数对动力电池电化学性能和热性能的影响规律，综合分析了电池材料—结构—性能跨尺度关联效应。研究结果表明：电池材料参数、电极结构参数、电池工作参数对动力电池性能的影响具有跨尺度强相关的特征。单一尺度下的动力电池设计及性能优化并不能得到最优结果，开展材料—结构—性能跨尺度设计及优化是动力电池安全性能和动力性能提升的根本途径。

关键词： 动力电池, 电化学-热耦合模型, 跨尺度关联, 电化学性能, 热性能

Fig.1 One-dimensional electrochemical model of lithium-ion battery

Table 1 Parameters of electrochemical model of power battery

Table 2 Parameters of thermal model of power battery

Fig.2 Comparison of experimental and simulation values of discharge voltage of power battery

Fig.3 Schematic of temperature measuring point position of power battery

Fig.4 Comparison of experimental and simulation values of temperature at different temperature measuring points

Table 3 The maximum error between the experimental value and simulation value at different temperature measureing points

Fig.5 Distribution law of solid-phase lithium ion concentration in electrode under different discharge rates

Fig.6 Concentration distribution law of liquid-phase lithium ions in electrode under different discharge rates

Fig.7 Discharge voltage variation curves of power battery under different positive and negative particle sizes

Fig.8 Discharge voltage variation curves of power battery under different initial electrolyte concentrations

Fig.9 Battery temperature variation curves under different radial density and radial heat capacity of power battery

Fig.10 Discharge voltage variation curves of power battery under different positive and negative electrode lengths

Fig.11 Temperature variation curves of power battery under different positive and negative electrode lengths

Fig.12 Discharge voltage variation curves of power battery under different separator lengths

Fig.13 Discharge voltage variation curves of power battery under different reaction rates in positive and negative electrodes

Fig.14 Discharge voltage variation curves of power battery under different positive and negative electrode diffusion coefficients

Fig.15 Discharge voltage and subassembly heat variation curves of power battery under different discharge magnifications

Fig.16 Lithium ion concentration and discharge voltage variation curves of power battery under different environment temperature

Table 4 cross-scale correlation effect of parameter and performance of power battery

Fig.17 Cross-scale correlation path and mode of material-structure-performance of power battery


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