一种电池温度控制方法及系统

CN121484314BActive Publication Date: 2026-07-17XI AN JIAOTONG UNIV
View PDF 4 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Filing Date
2025-11-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing battery temperature control methods based on simulation results cannot achieve real-time dynamic control, resulting in response lag and unforeseen adjustment strategies.

Method used

A numerical simulation model is constructed and written into the optimizer of Model Predictive Control (MPC) in the form of dynamic equality constraints. Through rolling optimization and real-time correction, the optimal temperature control sequence for a future period of time is obtained, thereby achieving forward-looking regulation of battery temperature.

Benefits of technology

It enables real-time dynamic control of battery temperature, avoids response lag issues, and can identify future temperature rise risks in advance, ensuring efficient and stable operation under temperature safety constraints.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121484314B_ABST
    Figure CN121484314B_ABST
Patent Text Reader

Abstract

本发明公开了一种电池温度控制方法及系统,属于温度控制技术领域,将构建的数值模拟模型嵌入模型预测控制MPC的优化器中,通过建立电池温度和SOC的状态方程,分别获取未来一段时间内的电池温度和荷电状态SOC;以充放电倍率为控制变量,以温度和SOC为状态序列,将预设的目标温度上限、充放电倍率幅值和SOC边界作为安全约束,并根据电池温度和SOC的状态方程和电流确定系统动态约束,建立以相邻两个采样时刻电池的充放电倍率最小为优化目标的优化问题,输出未来一段时间内满足充放电倍率、安全约束和系统动态约束的最优温度控制序列,对电池温度进行实时控制,该方法能够实时预测电池的未来升温趋势并进行动态控制,从而实现温度安全约束下的高效运行。
Need to check novelty before this filing date? Find Prior Art