点击上方蓝色文·字关注我们吧
Title: Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery
题目：锂离子电池液冷过程的建模与温度控制
Authors: LI Guanru, ZHONG Yangfan, BAO Chujin, CHEN Yongping, ZHANG Chengbin
作者：李冠儒，钟杨帆，鲍处墐，陈永平，张程宾
单位：能源热转换及其过程测控教育部重点实验室，东南大学能源与环境学院，阿里巴巴云计算有限公司，浙江音默森网能科技有限公司
Journal of Thermal Science, 2024, 33(5): 1794-1808.
👇点击下载全文
Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery.pdf
摘要
Abstract:Efficient thermal management of lithium-ion battery, working under extremely rapid charging-discharging, is of widespread interest to avoid the battery degradation due to temperature rise, resulting in the enhanced lifespan. Herein, thermal management of lithium-ion battery has been performed via a liquid cooling theoretical model integrated with thermoelectric model of battery packs and single-phase heat transfer. Aiming to alleviate the battery temperature fluctuation by automatically manipulating the flow rate of working fluid, a nominal model-free controller, i.e., fuzzy logic controller is designed. An optimized on-off controller based on pump speed optimization is introduced to serve as the comparative controller. Thermal control simulations are conducted under regular operating and extreme operating conditions, and two controllers are applied to control battery temperature with proper intervals which is conducive to enhance the battery charge-discharge efficiency. The results indicate that, for any operating condition, the fuzzy logic controller shows excellence in terms of the tracking accuracy of set-point of battery temperature. Thanks to the establishment of fuzzy set and fuzzy behavioral rules, the battery temperature has been throughout maintained near the set point, and the temperature fluctuation amplitude is highly reduced, with better temperature control accuracy of ~0.2°C (regular condition) and ~0.5°C (extreme condition) compared with ~1.1°C (regular condition) and ~1.6°C (extreme condition) of optimized on-off controller. While in the case of extreme operating condition, the proposed optimized on-off controller manifests the hysteresis in temperature fluctuation, which is ascribed to the set of dead-band for the feedback temperature. The simulation results cast new light on the utilization and development of model-free temperature controller for the thermal management of lithium-ion battery.
摘要：锂电池在快速充放电条件下的高效热管理是延缓电池老化、提升电池寿命的重要途径。本文基于热电模型和单相对流传热模型建立锂电池组动态热管理过程的混合仿真模型，继而设计一种名义的无模型控制器（模糊逻辑控制器），通过自动调节冷却工质的流量以减缓锂电池温度波动。此外，引入一种基于泵速优化的启停控制器作为对比控制器。为将锂电池组温度控制在合适工作区间以提升充放电效率，本文设计了常规运行和极端运行两种模式，继而开展锂电池组温度控制仿真研究。研究结果表明，模糊逻辑控制器在两种运行模式下均展现出更好的电池温度设定值跟踪控制品质。得益于所建立的模糊集和模糊行为规则，模糊逻辑控制器能够始终将电池温度保持在设定值附近，使得电池温度波动幅度大幅减小，在常规运行模式和极端运行模式下的温度控制精度分别为0.2℃和0.5℃。与之相对应，优化的启停控制器在两种运行模式的温度控制精度分别为1.1℃和1.6℃。在极端运行模式下，优化的启停控制器使温度波动呈现滞后性，这归因于反馈温度迟滞区（dead-band）的设计。本文开展的仿真研究为发展锂电池热管理的无模型温度控制提供了优选路径。
（👆下滑看摘要，点击文章顶部题目链接看文章全文）
图片展示
引用格式
LI Guanru, ZHONG Yangfan, BAO Chujin, CHEN Yongping, ZHANG Chengbin, Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery, Journal of Thermal Science, 2024, 33(5): 1794-1808.
👇点击“阅读原文”可进入官网
