储能科学与技术 ›› 2021, Vol. 10 ›› Issue (2): 679-688.doi: 10.19799/j.cnki.2095-4239.2020.0338

• 储能测试与评价 • 上一篇    下一篇

大倍率放电工况下48 V软包电池包的热管理

李夔宁1,2(), 何铖1,2, 谢翌3, 刘彬1,2, 邓莎莎1,2   

  1. 1.重庆大学低品位能源利用技术及系统教育部重点实验室
    2.重庆大学能源与动力工程学院
    3.重庆大学汽车工程学院,重庆 400044
  • 收稿日期:2020-10-14 修回日期:2020-11-14 出版日期:2021-03-05 发布日期:2021-03-05
  • 通讯作者: 李夔宁 E-mail:leekn@cqu.edu.cn
  • 作者简介:李夔宁(1970—),男,博士,教授,博士生导师,研究方向为制冷与空调新技术、汽车热系统/热环境控制技术的研究。E-mail:leekn@cqu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2018YFB0106100);重庆市教育委员会科学技术研究项目(KJQN201800121)

Thermal management of a 48 V pouch lithium-ion battery pack based on high rate discharge condition

Kuining LI1,2(), Cheng HE1,2, Yi XIE3, Bin LIU1,2, Shasha DENG1,2   

  1. 1.Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University
    2.School of Energy and Power Engineering
    3.School of Automotive Engineering, Chongqing University, Chongqing 400044, China
  • Received:2020-10-14 Revised:2020-11-14 Online:2021-03-05 Published:2021-03-05
  • Contact: Kuining LI E-mail:leekn@cqu.edu.cn

摘要:

近年来,作为燃油车到电动车的过渡产品,48 V轻混动力汽车频繁出现在人们眼前。48 V电池包能够带动更大功率的车载系统,正常使用过程中也极易出现大倍率放电的情况。为了使其在较高安全性能的前提下高效运行,需要将电池温度控制在45 ℃以下,电池包的热管理研究就显得极为重要。本文以磷酸铁锂软包电池为研究对象,通过理论结合试验的方式,研究电池产热的机理,通过多个工况下的电池单体内阻及电动势温升系数测试实验,结合机器学习多项式回归的数据处理方式,在探明电池温度分布特性的同时,得到较为完善的电池产热模型。由于软包电池的结构特性及导热性能,电池产热导出难度较大。本文结合铝、热管及石墨烯材料设计了48 V软包电池包散热结构,通过仿真的手段揭示电池包的温度演变规律,探索散热结构对电池温度控制的作用机制。该电池包散热结构能够将电池温度控制在45 ℃以下,将电池单体及电池包的温差控制在2 ℃以内,保证整个电池包能在大倍率放电工况下安全高效的运行。

关键词: 48 V软包电池包, 产热模型, 机器学习, 电池热管理

Abstract:

Recently, 48 V light hybrid vehicles have been frequently seen as a transition product from fuel vehicles to electric vehicles. The 48 V battery pack can drive a more powerful vehicle system, and it is easy to generate high discharge rate during normal use. Controlling the battery temperature below 45 ℃ is necessary to efficiently run the battery under the premise of high safety performance. Therefore, it is very important to study the thermal management of the battery pack. With the pouch lithium iron phosphate battery as the research object, we study the mechanism for battery thermogenesis using multiple battery monomers in test experiments of resistance and electromotive force coefficients of temperature rise and machine learning polynomial regression for data processing. At the same time, the temperature distribution characteristics of the battery were investigated, and a relatively perfect battery heat generation model was obtained. Because of the battery cell's structural characteristics and thermal conductivity, it is difficult to export the battery heat produced. In this paper, using aluminum, heat pipe, and graphene materials, we designed the heat dissipation structure of the 48 V soft package battery pack. The temperature evolution rule of the battery pack was revealed through simulations, and the temperature control mechanism of the heat dissipation structure of the battery was explored. The battery pack's heat dissipation structure can control the battery's temperature below 45 ℃ and the temperature difference between the battery cell and the battery pack within 2 ℃, ensuring a safe and efficient operation of the battery pack under high rate discharge conditions.

Key words: 48 V pouch battery pack, heat generation model, machine learning, battery thermal management

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