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基于四维多物理场耦合的全钒液流电池建模与变流量优化研究

Modeling and Variable Flow Rate Optimization of Vanadium Redox Flow Battery Based on 4D Multi-physics Coupling

  • 摘要: 针对全钒液流电池(Vanadium Redox Flow Battery, VRB)运行能效受多物理场耦合制约,且传统模型难以兼顾内部极化损耗与泵功平衡的问题,构建了一种集成电、液、化、热特性的四维全耦合动力学模型。该模型是在等效电路框架下深度耦合流体力学、电化学与热力学模块。其中电路等效模型负责实时描述电池的外部端电压响应和电学特性;流体力学模块体现了循环泵功损耗随流量变化的演变规律;电化学模块实现了活化极化与浓差极化损耗的精细化解耦;热力学模块通过引入 Arrhenius 方程实现温度对反应速率常数的动态修正。在四维耦合模型的基础上,基于极化过电位与泵功损耗间的竞争耦合关系,提出了一种基于荷电状态(SOC)的变流量自适应控制策略,通过实时动态匹配最优电解液循环流速。仿真结果表明,该模型能更准确地表征电池在复杂工况下的电压响应与损耗分布,与传统的恒流量运行模式相比,所提策略能有效提高系统的整体运行效率。

     

    Abstract: To address the constraints of multi-physics field coupling on the energy efficiency of Vanadium Redox Flow Batteries (VRBs), and the challenge of balancing internal polarization losses with pump power in traditional models, a 4D fully coupled dynamic model integrating electrical, hydraulic, chemical, and thermal characteristics was developed. This model deeply integrates hydraulic, electrochemical, and thermodynamic modules within an equivalent circuit framework. Specifically, the equivalent circuit module describes the real-time external terminal voltage response and electrical characteristics; the hydraulic module captures the evolution of circulating pump power loss as a function of flow rate; the electrochemical module enables fine-grained decoupling of activation and concentration polarization losses; and the thermodynamic module achieves dynamic correction of reaction rate constants via the Arrhenius equation.Building upon the 4D coupled model, a variable flow rate adaptive control strategy based on State of Charge (SOC) feedback was proposed. By analyzing the competitive coupling between polarization overpotentials and pump power loss, the strategy dynamically matches the optimal electrolyte circulation flow rate in real time. Simulation results demonstrate that the proposed model provides a more accurate characterization of voltage response and loss distribution under complex operating conditions. Compared to traditional constant flow rate modes, the proposed strategy effectively enhances the overall operational efficiency of the system.

     

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