A model for the estimation of the refrigerant flow distribution and an experimental study on the integrated thermal management system of electric vehicles

IF 6.1 2区工程技术 Q2 ENERGY & FUELS

Applied Thermal Engineering Pub Date : 2025-05-05 DOI:10.1016/j.applthermaleng.2025.126731

Xuewen Zhang , Qing Gao , Yuan Gao , TianShi Zhang , Jianwei Lv

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引用次数: 0

Abstract

With the rapid growth and advancements in electric vehicles (EVs), the thermal management technology for the entire vehicle has progressively evolved towards greater integration and refinement. This evolution places heightened expectations on the precise control and energy-efficient utilization of multiple systems, including the battery thermal management system (BTMS) and air conditioning (AC), among others. In this paper, we propose an aggregate tendency method aimed at tracing the distribution characteristics of refrigerant flow in multi-cooling systems. This method is designed to provide fundamental target regulation parameters for the main control quantities based on the cooling capacity demands of both the battery and the AC. First, the relationship between the cooling capacity demands of parallel circuits is analyzed, and a mathematical model of compressor speed and refrigerant flow distribution is established. Subsequently, by introducing flow distribution coefficients (ω_r) and extrapolating the main control quantities, a trend quantification of regulation is obtained. The validation results indicate that the model possesses good predictive accuracy. Finally, considering the typical dynamic driving conditions of vehicles, the pre-adjustment target of the thermal management system is established. Additionally, the joint regulation schemes for synchronous and asynchronous control of the compressor and VOVs (compressor priority and VOVs priority) are investigated. The results indicate that prioritizing these control schemes achieves a balance between the battery cooling response and the air temperature fluctuations of the AC.

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电动汽车冷媒流动分布估算模型及综合热管理系统实验研究

随着电动汽车的快速发展和进步，整车热管理技术逐步向集成化和精细化方向发展。这种发展对多个系统的精确控制和节能利用提出了更高的期望，包括电池热管理系统（BTMS）和空调（AC）等。在本文中，我们提出了一种旨在追踪多冷却系统中制冷剂流动分布特征的聚合趋势方法。该方法旨在根据蓄电池和交流的制冷量需求，为主要控制量提供基本的目标调节参数。首先，分析并联回路制冷量需求之间的关系，建立压缩机转速和制冷剂流量分布的数学模型；随后，通过引入流量分配系数（ωr）和外推主要控制量，得到了调节的趋势量化。验证结果表明，该模型具有较好的预测精度。最后，结合车辆典型的动态行驶工况，建立了热管理系统的预调节目标。此外，还研究了压缩机和vov同步和异步控制的联合调节方案（压缩机优先级和vov优先级）。结果表明，优先考虑这些控制方案可以达到电池冷却响应和交流空调温度波动之间的平衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Thermal Engineering 工程技术-工程：机械

CiteScore

11.30

自引率

15.60%

发文量

1474

审稿时长

57 days

期刊介绍： Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.