储能科学与技术

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基于单体特征参数差异的电池组热特性和热一致性研究

张腾1(), 常国峰2()   

  1. 1.同济大学汽车学院,上海 201804
    2.同济大学汽车学院,上海 201804
  • 通讯作者: 常国峰 E-mail:1758001512@qq.com;changguofeng@tongji.edu.cn
  • 作者简介:张腾,2000,男,硕士在读,整车热管理,1758001512@qq.com
  • 基金资助:
    国家重大科学仪器和设备发展计划(2012YQ150256)

Thermal Characterization and Thermal Consistency Study of Battery Packs Based on differences in monomer characteristic parameters

Teng Zhang1(), Guofeng Chang2()   

  1. 1.School of Automotive Studies, Tongji University, Shanghai, 201804, China
    2.School of Automotive Studies, Tongji University, Shanghai, 201804, China
  • Contact: Guofeng Chang E-mail:1758001512@qq.com;changguofeng@tongji.edu.cn

摘要:

锂电池组内单体特征参数(SOC、容量与内阻)的差异通过电-热耦合作用可能导致电池组的热分布不均,从而影响其性能和安全。本文考虑了锂电池在不同温度和放电深度下的动态特性,构建了电池组的二阶RC等效电路-热耦合模型,通过数值模拟分析了单体SOC、容量和内阻不一致性对并联和串联电池组热特性的影响,最终量化了不同连接模式下电池组的能量释放能力、发热率及温度分布差异。研究结果显示,SOC不一致时,并联电池组因自平衡效应释放能量379.575Ah,高于串联电池组的366.024Ah,但其发热率标准差和最高温度标准差分别为2.265W和0.62℃,显著高于串联电池组的0.475W和0.275℃,表明串联结构在热一致性上更具优势。容量不一致时,并联电池组因支路电流差异导致发热率波动更大,其温度标准差为0.421℃,较串联的0.233℃高0.188℃,且最大温差分别为1.222℃和0.670℃,进一步凸显串联的热均匀性。内阻不一致时,串联电池组平均温度为33.233℃,略高于并联的33.204℃,但其温度标准差和发热率标准差则为0.19℃和0.097W均低于并联的0.215℃和0.405W,说明串联模式能有效抑制内阻差异引发的热不均衡现象。进一步量化对比表明,SOC不一致对热一致性的影响最为显著,并联与串联的发热率最大差值分别为6.499W 和1.261W;容量不一致导致并联电池组最高温度差达到1.222℃,为串联的1.8倍;内阻不一致下,串联电池组温度标准差仅为并联的88%。研究结论表明,串联电池组在单体特征参数差异下均表现出更优的热一致性,而并联模式虽能够释放更多能量,但需通过强化热管理以应对更高的温度波动风险。本研究为电动汽车电池组热模型优化及冷却系统设计提供了关键数据支撑,对提升电池安全性与寿命具有重要参考价值。

关键词: 锂离子电池组, 热特性, 热一致性, 等效电路-热模型

Abstract:

Variations in the characteristic parameters of individual cells within a Li-ion battery pack—such as SOC, capacity, and internal resistance—can lead to uneven thermal distribution due to electro-thermal coupling, thereby impacting the pack's performance and safety. This paper examines the dynamic characteristics of lithium batteries at different temperatures and depths of discharge and develops a second-order RC equivalent circuit-thermal coupling model to analyze how inconsistencies in SOC, capacity, and internal resistance affect the thermal behavior of both parallel and series battery packs through numerical simulations. The study quantifies differences in energy release capacity, heat generation rate, and temperature distribution under various connection configurations. The results indicate that when SOC inconsistency is present, the parallel-connected battery pack releases 379.575 Ah of energy due to the self-balancing effect, which is higher than the 366.024 Ah released by the series-connected pack. However, the standard deviation of the heat generation rate and the maximum temperature deviation in the parallel-connected pack are 2.265 W and 0.62 ℃, respectively—significantly higher than those of the series-connected pack (0.475 W and 0.275 ℃). This suggests that the series configuration provides better thermal consistency. When capacity inconsistency occurs, the heating rate of the parallel-connected pack exhibits greater fluctuations due to variations in branch currents. The standard deviation of its temperature is 0.421 ℃, which is 0.188 ℃ higher than that of the series-connected pack (0.233 ℃). Additionally, the maximum temperature difference reaches 1.222 ℃ in the parallel-connected pack, compared to 0.670 ℃ in the series configuration, further emphasizing the superior thermal uniformity of the series connection. In cases of internal resistance inconsistency, the average temperature of the series-connected battery pack is slightly higher (33.233 ℃) than that of the parallel-connected pack (33.204 ℃). However, the standard deviation of temperature and heat generation rate in the series-connected configuration (0.19 ℃ and 0.097 W) are lower than those in the parallel-connected pack (0.215 ℃ and 0.405 W). This suggests that the series-connected mode can effectively mitigate thermal imbalances caused by internal resistance variations. Further quantitative comparisons reveal that SOC inconsistency has the most significant impact on thermal consistency, with the maximum difference in heating rate reaching 6.499 W in parallel and 1.261 W in series. Capacity inconsistency results in the largest temperature difference in parallel-connected packs (1.222 ℃), which is 1.8 times greater than that of the series-connected pack. Additionally, under internal resistance inconsistency, the standard deviation of temperature in series-connected packs is only 88% of that in parallel-connected ones. In conclusion, series-connected battery packs demonstrate better thermal consistency when individual cell parameters vary, whereas parallel-connected packs release more energy but require enhanced thermal management to address the increased risk of temperature fluctuations. This study provides crucial data for optimizing thermal models and designing cooling systems for electric vehicle battery packs, offering valuable insights into improving battery safety and longevity.

Key words: Li-ion battery packs, thermal characteristics, thermal consistency, equivalent circuit-thermal model