化工学报 ›› 2025, Vol. 76 ›› Issue (8): 4119-4128.DOI: 10.11949/0438-1157.20250094

• 智能过程工程 • 上一篇    下一篇

基于粒数衡算方程的三元前体结晶过程粒度分布动态预测方法

戴元燊1,2(), 邵之江1, 陈伟锋3, 陈宁4()   

  1. 1.浙江大学控制科学与工程学院,浙江 杭州 310027
    2.巴斯夫(中国)有限公司,上海 200137
    3.浙江工业大学信息工程学院,浙江 杭州 310023
    4.中南大学自动化学院,湖南 长沙 410083
  • 收稿日期:2025-01-22 修回日期:2025-04-07 出版日期:2025-08-25 发布日期:2025-09-17
  • 通讯作者: 陈宁
  • 作者简介:戴元燊(1983—),男,博士研究生,yuanshen.dai@basf.com
  • 基金资助:
    国家自然科学基金重点项目(62033014)

Dynamic prediction method of particle size distribution in ternary precursor crystallization process based on population balance equations

Yuanshen DAI1,2(), Zhijiang SHAO1, Weifeng CHEN3, Ning CHEN4()   

  1. 1.College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
    2.BASF (China) Company Ltd. , Shanghai 200137, China
    3.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China
    4.School of Automation, Central South University, Changsha 410083, Hunan, China
  • Received:2025-01-22 Revised:2025-04-07 Online:2025-08-25 Published:2025-09-17
  • Contact: Ning CHEN

摘要:

在高性能三元正极材料的制备过程中,三元前体作为核心原料,其品质尤其是粒度分布对正极烧结产物的理化性能具有决定性影响。三元前体的制备涉及多种工艺参数,氨水浓度、反应温度、反应过程pH、搅拌速率和反应时间均对粒径产生显著影响,其中反应时间对三元前体的粒径影响最为显著。提出了一种基于粒数衡算方程的三元前体结晶过程粒度分布动态预测模型。首先,针对三元前体共沉淀过程的生长特性,建立了基于粒数衡算方程的粒径预测模型,分别考虑了符合ASL方程的生长速率和具有普适性的生长速率表达式。其次,运用配点法对粒数衡算方程进行空间和时间维度的离散化求解,并通过构建优化问题对模型中的未知参数进行辨识。最终,仿真结果表明,所提出的预测方法能够准确模拟不同初始粒径的三元前体在结晶过程中的粒径变化,实现对粒度分布的精确预测,为优化三元正极材料的烧结工艺提供了重要的理论依据和参考。

关键词: 三元前体, 结晶, 粒数衡算方程, 化学反应, 粒度分布

Abstract:

In the preparation of high-performance ternary cathode materials, the ternary precursor serves as a core raw material, and its quality—especially the particle size distribution—has a decisive impact on the physicochemical properties of the sintered cathode product. The preparation of ternary precursors involves various process parameters, among which ammonia concentration, reaction temperature, pH value during the reaction, stirring rate, and reaction time all significantly influence particle size. Among these, reaction time has the most pronounced effect on the particle size of the ternary precursor. This study proposes a dynamic prediction model for the particle size distribution during the crystallization process of ternary precursors, based on a particle population balance equation. First, considering the growth characteristics of the co-precipitation process of ternary precursors, a particle size prediction model based on the population balance equation is established, taking into account both the growth rate described by the ASL equation and a generalized growth rate expression. Secondly, the population balance equation was discretized in space and time dimensions using the collocation method, and the unknown parameters in the model were identified by constructing an optimization problem. Finally, simulation results show that the proposed prediction method can accurately simulate the particle size evolution of ternary precursors with different initial sizes during the crystallization process, achieving precise prediction of particle size distribution. This provides a solid theoretical foundation and reference for optimizing the sintering process of ternary cathode materials.

Key words: ternary precursors, crystallization, population balance equations, chemical reaction, particle size distribution

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