高寒环境下便携式移动电源多模态协同充电系统设计
DOI:
CSTR:
作者:
作者单位:

重庆理工大学电气与电子工程学院重庆400054

作者简介:

通讯作者:

中图分类号:

TH7TM93

基金项目:

重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0997)资助


Multiphysics-coupled synergistic charging system for lithium portable energy storage under extreme cold conditions
Author:
Affiliation:

School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对锂离子电池在高寒环境下诱发电化学性能衰退,导致便携式移动电源充电效率降低甚至功能失效的问题,设计一种便携式移动电源多模态协同充电系统。通过深入揭示锂离子电池低温电化学机理与充电行为机制,重点探究电-热等多物理场间的耦合关系,进而提出优化预热结构设计及电热协同动态充电控制策略。首先,采用聚酰亚胺基柔性电加热膜复合氮化铝/石墨烯高导热材料结构,显著提升传热速率与均匀性,快速恢复电池充电性能;其次,针对电池内部温度难以直接测量的限制,基于遗忘因子的递推最小二乘法在线辨识热容、热阻等关键参数漂移量,构建高精度时变参数热路模型,有效提升内部温度预测精度;同时,融合无迹卡尔曼滤波算法,形成双闭环协同估计架构,实时递推更新与校正温度状态量,实现内部温度动态观测。实验验证表明,所设计系统可实现电池内部温升速率达5℃/min,热路模型系统性误差稳定在02℃以内,在-30℃、-20℃和-10℃等多种典型低温工况下,内部温度预测误差严格控制在±1℃置信区间内、最大绝对误差仅0.6℃以及均方根误差最大仅0.4℃,有效解决了高寒环境下便携式移动电源充电失效的关键难题,为高寒环境能源保障体系提供创新性理论依据与工程技术参考。

    Abstract:

    This article addresses lithium-ion battery performance degradation in extreme cold environments, which causes charging inefficiency or failure in portable power banks, by designing a multi-modal cooperative charging system. Low-temperature electrochemical mechanisms and charging behavior are investigated, focusing on coupled electro-thermal relationships. Optimized preheating structures and electro-thermal cooperative dynamic charging strategies are proposed. A polyimide-based flexible heating film integrated with high-thermal-conductivity AlN/graphene significantly improves heat transfer rate and uniformity, rapidly restoring charging capability. To overcome limitations in direct internal temperature measurement, the recursive least squares method with a forgetting factor enables online identification of drifting key parameters (e.g., thermal capacity, resistance). A high-precision, time-varying thermal circuit model is formulated. Combined with an unscented Kalman filter, a dual closed-loop cooperative estimation architecture recursively updates and corrects internal temperature states in real-time. Experimental validation confirms the system achieves a battery internal heating rate of 5℃/min. The thermal model's systematic error stabilizes within 0.2℃. Under various sub-zero conditions (-30℃, -20℃, and -10℃), internal temperature prediction errors remain within ±1℃, with a maximum absolute error of 0.6℃ and maximum root mean square error of 0.4℃. This effectively solves the critical issue of portable power bank charging failure in extreme cold, providing innovative theoretical and engineering foundations for energy assurance systems in such environments.

    参考文献
    相似文献
    引证文献
引用本文

张小成,郭强,赵光焱,戴云龙,杨鑫宇.高寒环境下便携式移动电源多模态协同充电系统设计[J].仪器仪表学报,2025,46(6):83-95

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-09-09
  • 出版日期:
文章二维码