To solve the problems of fossil energy shortages and air pollution, in the past ten years, electric vehicles have been greatly developed in China [1][3]. In 2020 and 2021, China’s electric vehicle sales reached 1.36 and 2.26 million, respectively, and China is the world’s largest electric vehicle market. According to the plan issued by the government, China’s electric vehicle sales will strive to account for 20% of total vehicle sales by 2025 [4].
However, the number of fire accidents of electric vehicles has grown in recent years, which has become an important obstacle to the large-scale application of electric vehicles [5]. According to the comprehensive analysis of electric vehicle fire accidents and their possible causes, electric vehicle fire accidents have the following typical characteristics: (1) the vehicle models are diverse, covering passenger cars, electric buses, special vehicles, and other types of vehicles; (2) accidents are highly correlated with the season, and the summer has a high rate of accidents; (3) the specific cause of the fire is often vague, as evidence is destroyed as the vehicle burns, and it is difficult to accurately locate the source of the accident; (4) accidents are highly correlated with power batteries. As the power source of electric vehicles, power batteries are directly related to a large proportion of electric vehicle fire accidents.
For the abovementioned electric vehicle fire accidents caused by the thermal runaway of power batteries, the typical process usually mainly includes three stages: accumulation of the factors that cause thermal runaway of the battery cell, occurrence of the thermal runaway of the battery cell, and thermal runaway propagation of the battery system [6][7]. To improve the safety of the power battery system, the above three stages must be monitored and controlled step by step. One of the most important links is to provide an accurate warning when battery runaway occurs and give clear signals to the occupants to provide enough time to deal with the vehicle and escape. In the process of battery thermal runaway, the changes in the battery voltage, temperature, internal resistance, gas concentration, pressure, and swelling force provide a basis for battery thermal runaway warning [8][9]. Based on quantitative tests of the critical conditions of battery thermal runaway, battery thermal runaway warning is currently realized by adopting one or a combination of the above-mentioned thermal runaway parameters. Conventional thermal runaway warning methods are mainly based on voltage and temperature signals. For example, in the first-stage draft of the Global Technical Regulation on the Electric Vehicle Safety (EVS GTR) [10], it is recommended to use a combination of the voltage change, maximum temperature, and temperature variation rate (1°C/s) as a warning. To allow the use of temperature as an effective advanced thermal runaway warning, Li et al. [11] used a resistance temperature detector to collect the temperature of the battery current collector. The results showed that the temperature detected using this method was higher than the battery case temperature detected by the temperature sensor, and the detection speed was 10 times faster. When battery thermal runaway occurs, due to the decomposition of the electrolyte and various side reactions between the electrolyte and the positive and negative pole materials, various gases, such as CO and H2, are generated, which provides a relatively reliable method for thermal runaway warning. Zhang et al. [12] used a pressure-resistant pyrolysis autoclave and a gas chromatography–mass spectrometer to study the pattern of gas production of the electrolyte at different thermal decomposition temperatures, heating durations, and oxygen concentrations. They also found that for lithium-ion batteries with different positive-pole and negative-pole active materials but with the same electrolyte composition, the composition of the main gas released during heating or overcharging was very similar to that of the gases produced by the thermal decomposition of the electrolyte. For lithium-ion batteries whose electrolyte was the LiPF6 + EC/DMC system, CO, CO2, C2H4, C2H6O, and C2H4O2 could be selected as characteristic gases for safety warning. The principle of the warning based on the smoke signal was similar to the principle of the warning based on a signal of the special gas concentration. Koch et al. [9] conducted studies on the gas and smoke signals of soft-pack batteries during thermal runaway. The research results showed that the detection of smoke was easily affected by signal reflections by objects in the environment, location, and other factors, resulting in low signal quality, and the gas signal was a relatively feasible means for warning. Researchers have also suggested that to achieve a reliable warning, it is often not sufficient to use only one signal, and a combination of several signals will be more effective. It should be noted that for the thermal runaway warning method that uses the gas composition and smoke signals, it is possible to detect the signal only when the battery has apparent leakage (i.e., for a soft-pack battery, the aluminum–plastic film is cracked; for a hard-case battery, the safety valve is opened). That is, when the battery reaches the warning condition, the battery has already experienced significant thermal runaway. At this time, the time left for the battery thermal management system to actively dissipate heat and remind passengers to escape will be extremely limited.
For this reason, researchers have attempted to develop new test methods to obtain the internal parameters of the battery to achieve an earlier warning for thermal runaway. Raghavan et al. [13][14] proposed an embedded optical fiber sensor to test the internal pressure and temperature of the battery. The principle is that when the internal temperature or pressure of the battery changes, the refractive index of the optical fiber sensor will change, and the corresponding reflected light wavelength will also change. Srinivansan et al. [15][16] proposed a thermal runaway warning method for lithium-ion batteries based on impedance monitoring. The results of the study found that in the early stage of lithium-ion battery thermal runaway, the impedance phase shift was abnormal. At this moment, the battery temperature changed slowly, and the voltage had no apparent change. Thus, using the change in the characteristic value to provide a thermal runaway warning is feasible. In terms of warning signal research for battery thermal runaway, the most systematic and comprehensive study was conducted by Koch et al. [9]. In addition to voltage, temperature, gas composition, and smoke signals, the research team also analyzed the changes in the creep distance and the swelling force of the soft-pack battery during thermal runaway. By comparing the detection speed, signal clarity, and sensor feasibility level of various warning signals, the researchers suggested that the gas concentration, gas pressure, and swelling force are the three most sensitive parameters in terms of the detection speed. The abovementioned tests were carried out for soft-pack batteries, and thus, further research is still needed for square batteries.
This paper compares and examines the changes in the swelling forces of lithium-ion batteries during the processes of temperature rise, normal charge and discharge, and thermal runaway. Based on this, a new method using the swelling force as a warning for battery thermal runaway is proposed. The paper is mainly composed of the following sections. The first section is the experimental section, which introduces the test samples, the overcharge and heating thermal runaway test procedures, and the devices and methods used for collecting signals (voltage, temperature, and swelling force). The second section discusses the changes in the pressure, temperature, and swelling force of the battery under normal working conditions and the process of thermal runaway, and the feasibility and main advantages of using the swelling force for battery thermal runaway warning are analyzed.