Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (11): 4360-4369.doi: 10.19799/j.cnki.2095-4239.2025.0592

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

Research on multi-stage warning method for overcharging thermal runaway of sodium-ion batteries based on anti-entropy weight method

Jingyun WU1(), Pengyu GUO2(), Zheng HUANG1   

  1. 1.State Grid Jiangsu Electric Power Company Economic and Technical Research Institute, Nanjing 210008, Jiangsu, China
    2.State Grid Jiangsu Electric Power Company, Nanjing 210000, Jiangsu, China
  • Received:2025-06-25 Revised:2025-08-02 Online:2025-11-28 Published:2025-11-24
  • Contact: Pengyu GUO E-mail:673112739@qq.com;13611511237@163.com

Abstract:

Sodium-ion batteries have emerged as a key direction for new energy storage because of their abundant resources, low cost, and environmental friendliness. However, under extreme conditions, such as high-voltage overcharging, sodium-ion batteries are prone to thermal runaway, posing a severe threat to system operation safety. This study focuses on a 185 Ah layered oxide-positive electrode sodium-ion single-cell battery. An experimental platform was designed to simulate the overcharge-induced thermal runaway, collecting three key parameters: voltage, temperature, and pressure. The evolution trend and characteristic response of these parameters during the thermal runaway process were analyzed. A dynamic risk index system was then constructed based on the rate of change of multiple signals. To adaptively adjust feature weights, the anti-entropy weight method was introduced, leading to the development of a comprehensive risk index that evolves over time. A multi-level warning model is proposed by dividing the process stages based on the mechanism of thermal runaway. The experimental results show that the proposed method can effectively identify the thermal runaway risk of batteries at different stages and provides a strong early-warning capability with engineering application value. These findings offer a theoretical basis and practical support for the thermal safety management and intelligent monitoring of sodium-ion batteries.

Key words: sodium-ion battery, thermal runaway, anti-entropy weight method, multi-parameter fusion, multi-stage warning

CLC Number: