1 Effects of thermal hazard on 18650 lithium ion battery under different states 2 of charge 3 4 Wei-Chun Chen.Jian-De Li.Chi-Min Shu.Yih-Wen Wang* 5 6 Abstract Lithium ion (Li-ion) battery is an important power storage system with efficient 7 energy densitiesand long life cycles characteristics. However, its potential safe issue still need 8 to be further discussed. This study used an adiabatic calorimeter, vent sizing package 2 (VSP2), 9 to appraise the thermal runaway behaviours of 18650 lithium ion battery on various charging 10 levels. The batteries were tested for states of charge at 30, 50, 80, and 100%. By calorimetric 11 experimental trails, we can determine the thermal hazard features, such as apparent exothermic 12 initial temperatures (T0), maximum temperatures (Tmax), pressure, temperatures, maximum 13 pressure (Pmax), self-heating rates (dT dt–1), pressure rise rates (dP dt–1), and runaway patterns. 14 During the thermal runaway, Tmax and Pmax under full chargeable Li-ion battery were 774.9 K 15 and 1,519.6 KPa, respectively. These experimental results could assist in estimating uncontrolled 16 behaviours and thermokinetic parameters for various charged states of the 18650 Li-ion battery. 17 They could be used in proactive design, and as the ultimate objective, they could provide the 18 process safety parameters to forestall commercial batteries from thermal damage packs. 19 20 Keywords Lithium ion batteries.Process safety parameters.States of charge.Thermal 21 hazard features.Vent sizing package 2 (VSP2) 22 W.-C. Chen 1 1 Graduate School of Engineering Science and Technology, National Yunlin University of 2 Science and Technology (YunTech), 123, University Rd., Sec. 3, Douliou, Yunlin 64002, 3 Taiwan, ROC 4 5 J.-D. Li.C.-M. Shu 6 Department of Safety, Health, and Environmental Engineering, YunTech, Douliou, Yunlin 7 64002, Taiwan, ROC 8 9 Y.-W. Wang ( ) 10 Department of Occupational Safety and Health, College of Public Health, China Medical 11 University, 91, Hsueh-Shih Rd., Taichung 40402, Taiwan, ROC 12 e-mail: even0937@yahoo.com.tw 13 2 1 List of symbols A Frequency factor (min–1) Cp Capacity of test cell (J g–1 K–1) Ea Apparent activation energy (kJ mol–1) k Heat transfer coefficient (W m–1 K–1) Kb Boltzmann constant (J K–1) m Sample mass (g) t Time (sec) T Absolute temperature (°C) T0 Apparent exothermic onset temperatures (°C) ∆H Heat of reaction (J g–1) ∆Tad Adiabatic temperature rise (°C) 2 3 3 1 Introduction 2 3 Lithium ion (Li-ion) batteries have a long cycle life and a high power density without adverse 4 memory effects. In practice, a Li-ion battery can be changed by shape, such as cylindrical, 5 including 18650 or 26650, button type, square, and plastic flexible packaging. The volumetric 6 energy densities and efficacy are superior to Ni-Cd batteries. Many Li-ion batteries can be used 7 as series and parallel connections in the battery pack and are largely applied in energy storage 8 systems for 3C electronic products and electric vehicles [1–5]. 9 Li-ion batteries are composed of a cathode, anode, separator film, an electrolyte, and the 10 protective devices, such as battery management system (BMS), vent device, positive 11 temperature coefficient (PTC), thermal fuse, etc. There are sources of the electrochemical 12 reaction via the cathode and anode. However, the separator film may crack or melt, resulting in 13 internal short circuit or outer crash, and the cathode and anode will break down, causing catalytic 14 burning. Li-ion batteries are similar to a chemical reactor because their temperature, materials, 15 and release heat should be well governed. However, many improper applications or defects of 16 materials have happened, which have caused disastrous damage, such as fire or explosion. State 17 of charge (SOC) means that the remaining electric capacity in the batteries by factoring in the 18 variables as the discharge rate and time, temperature, charge rate and duration. Many methods 19 can estimate SOC, including discharge test, ampere hour counting, etc. [6–9]. The aim of this 20 study was to compare the thermal stability influence of Li-ion batteries under four different 21 SOCs: 30, 50, 80, and 100%. 22 By experimental calorimetry tests, we can determine the thermal hazard features, such as 23 apparent exothermic initial temperatures (T0), maximum temperatures (Tmax), pressure, 4 1 temperature, maximum pressure (Pmax), self-heating rates (dT dt–1), pressure rise rates (dP dt–1), 2 and runaway patterns with kinetic analysis equations. The results could be used in proactive loss 3 prevention design, and as the ultimate goal, they could provide electrochemical safety 4 parameters of Li-ion cells to prevent thermal damage from commercial battery packs [10–14]. 5 In addition to the safety conditions of the applications, the damage sources should be eliminated 6 and removed or the high risk conditions could be made less risky and more acceptable. 7 5 1 Experimental methods 2 3 Samples 4 The Li-ion batteries had a diameter of 18.0 mm and a length of 65.0 mm, as broadly used in 5 various areas worldwide, such as series connections or parallel connections in electric vehicles. 6 We used commercial 18650 Li-ion battery (LG DB218650) as the test sample, which cathode 7 material was LiCoO2, and the nominal capacity of the Li-ion battery was 2600 mAh. In general, 8 the cathode and anode were isolated by separator film. Separator film played an interposed 9 important role in Li-ion batteries. It was not only prevented to contact with cathode and anode, 10 but also ionized ions activated in the electrolyte. The electrochemical reaction initially proceeds 11 slowly, but it accelerates exponentially as the temperature increases at the start of the runaway 12 reaction. The proposed reaction mechanisms of LiCoO2 cathode and ethylene carbonate (EC) 13 electrolyte as an example [15, 16]: 14 1 1 LiCoO 2 Li Co 3O 4 O 2 3 3 (1) 15 1 Co 3O 4 3CoO O 2 2 (2) 16 1 1 Co 3O 4 C 3CoO CO 2 2 2 (3) 17 1 CoO Co O 2 2 (4) 18 3 2LiCoO 2 CO 2 Li 2 CO 3 2Co O 2 2 (5) 19 Δ 2Li C3 H 4 O3 (EC) Li 2 CO 3 C 2 H 4 (6) 20 Programmable DC power DSP-030-025HD and Prodigit instrument professional 3302F have 21 been carried out various SOCs of a battery. In our previous studies, we were using full charged 6 1 level (4.2 V) and un-charged level (3.7 V) to compare the thermal hazards on Li-ion batteries [2, 2 5, 9]. SOC is a useful estimation for battery applications, which can prevent the battery failure 3 from being over-charged/over-dischargrd operation. For the application of 3C electronic 4 products and electric vehicles, the control of charge level is advantageous to obtain close to 5 100% charge efficiency and charge acceptance rather than maximum battery capacity. The SOC 6 estimation could evaluate the relationship between the remaining battery capacity and thermal 7 runaway ranking for Li-ion battery. After charge-discharge cycling at a constant rate of 0.5 C- 8 rate, the Li-ion batteries had SOCs of 30, 50, 80, and 100%, as listed in Table 1. In practice 9 the SOC of the charging process can be derived from Equation (7) [17]: 𝑄releasable 10 SOC = 11 in which SOC is the capacity of the battery, Qreleasable is the releasable capacity, and Qrate is the 12 battery rated capacity. 𝑄rated × 100% (7) 13 14 Vent sizing package 2 (VSP2) 15 Vent sizing package 2, an adiabatic calorimeter with a pressure and temperature system, is 16 manufactured by Fauske & Associates, LLC (Burr Ridge, Illinois, USA). It has PC-control 17 to govern and balance the internal and external pressure as well as the temperature in the 18 tank. We designed the test cell to handle high pressure and temperature. VSP2 is a typical 19 adiabatic calorimeter with three heat-wait-search (HWS) steps in the experimental test. After 20 obtaining the temperature, we waited ten minutes and searched for the Li-ion batteries’ 21 exothermic rate to determine whether it exceeded 0.2 °Cmin–1. Fire exposure, abnormal 22 heating, loss of cooling, and the other factors can be evaluated. The temperature and pressure 7 1 were all measured, as accurate temperature and pressure data were received directly from 2 the reaction system in the adiabatic environment [15]. 3 The exothermic reaction enthalpy is important for safety issue because it depicts the 4 thermal runaway reaction for the Li-ion battery. 18650 cylindrical batteries have been tend 5 to cause internal heat accumulation. Practically speaking, there is lower heat loss to the 6 surroundings in an exothermic reaction condition, and the reaction energy is increasing the 7 self-heating of Li-ion batteries to result in potential thermal runaway. The effortless thermal 8 analytical equations characterise the exothermic reaction heat of Li-ion batteries as 9 determined by VSP2 experiments. Li-ion batteries are described such that the heat capacity 10 of test cells (Cp), the heat of reaction ( ∆ H), the sample mass (m), and the adiabatic 11 temperature rise (∆Tad) of the Li-ion batteries can be calculated as Eq. (8) [18, 19]: 12 ∆𝐻 = 𝐶p × 𝑚 × ∆𝑇ad (8) 13 8 1 Results and discussion 2 3 This study focused on the thermal runaway reaction of 18650 Li-ion battery through external 4 heating and induced the electrochemical exothermic behaviours. The electrochemical potential 5 difference of the various SOCs could convert the chemical energy to electric energy or reverse 6 situation in the batteries. There were the dramatic electrochemical reactions in higher SOC Li- 7 ion battery associated with elevated temperature and pressure conditions. 8 The adiabatic results showed exothermic profiles, along with thermokinetic parameters, 9 such as apparent exothermic onset temperatures (T0), maximum temperatures (Tmax), maximum 10 pressure (Pmax), self-heating rates (dT dt–1), and pressure rise rates (dP dt–1). We compared the 11 related thermal instability of various SOCs on Li-ion batteries under adiabatic conditions for the 12 purpose of the thermal runaway reaction. The SOCs of 30, 50, 80, and 100% charging voltage 13 were 2.84, 3.62, 3.90, and 4.18 V, respectively. The 18650 lithium-ion batteries lost 9 g of 14 mass after the adiabatic experiment, and the charging voltage lost efficacy because of the 15 exploded cell. 16 The thermal decomposition of 18650 Li-ion batteries in the SOCs of 30, 50, 80, and 100% 17 is shown in Figs. 1–3. The T0 of 18650 Li-ion batteries in the SOCs of 30, 50, 80, and 100% 18 were determined to be 457.8, 447.8, 444.9, and 424.0 K, respectively. According to the literature, 19 the separator would crack and then cause an internal short circuit at 80–120 °C. When an 20 internal short circuit takes place, the lithium ion batteries are going to 21 induce self-heating reactions in Eqs 1–6. 22 The separator crack or melt may trigger the short-circuiting of positive and negative 23 electrodes to result from battery failure. When the temperature exceeded 457.8 K at SOC 9 1 30%, and the decomposed cathode material reacted with the electrolyte, which caused the 2 temperature to reach 473 K. When the cathode reacted with the electrolyte, it resulted in an 3 oxidation reaction, which courted a runaway reaction. The Tmax quickly rose to 715.5 K, and the 4 pressure and temperature increased simultaneously, followed by a release of an enormous 5 amount of gas and heat. With increasing SOC, the corresponding T0 was also initiated at the 6 earlier temperature, and the Tmax, as well as the experimental reactions, were significant. 7 The Pmax values varied from 396.4 to 1519.6 KPa, with changes up to 5–fold from the 8 SOCs of 30 to 100%. The self-exothermic runaway happened after 180 min in the SOCs of 80 9 and 100%; times of more than 270 min occurred for the SOCs of 30 and 50%. Although Tmax 10 values were similar, the pressure results were different, with rises of approximately 3–fold in the 11 SOCs of 80 and 100%. The T0 occurred earlier when the 18650 Li-ion battery under the SOC 12 of 100%. The circuit might provide an indication of SOCs and safety features in the case of 13 short-circuiting and over-heating situations on battery failure. The electrolyte was composed 14 of organic solvent, and cathode materials included lithium ion and metal ions. If organic 15 solvent mix with metal ions, it will occur incompatible reaction to induce thermal runaway. 16 The results show that the uncontrolled battery quickly generated enormous amounts of heat and 17 gases in a shorter time to trigger explosion, fire, or releasing toxic gas. This heat generation is 18 due to the violent reactions accompanied by the pressure and temperature in Figs. 1 and 2. 19 Defective tightness of the test cell could lead to leaking of gas. Nevertheless, Li-ion battery 20 reactions fall into two main stages. The first stage occurs when the battery temperature rise 21 reaches the apparent exothermic onset temperature, indicating that the separator has broken 22 down to induce an exothermic phenomenon. The second stage occurs when the temperature rises 23 to the maximum temperature during the runaway excursion. 10 1 As the temperature reached the apparent exothermic onset temperature, the adiabatic 2 temperature rise was more than 473 K. During the thermal runaway reaction, the temperature 3 and pressure of self-reactive batteries suddenly reach the maximum values. As shown in Figs. 4 4 and 5, although the SOC of 30% has a low charging voltage, the self-heating rate (dT dt–1) 5 and pressure rising rate (dP dt–1) increase rapidly, up to 3102.9 K min–1 and 1412.7 KPa min– 6 1 7 reaction induces a significant increase in temperature and pressure. It is demonstrated that the 8 SOC of 100% of the Li-ion battery has a higher thermal hazard than 30, 50, and 80%. , respectively. Therefore, the broken Li-ion batteries are unsafe and risky because the runaway 9 VSP2 can be applied with experimental data to calculate the slope, apparent activation 10 energy (Ea), and frequency factor (A). Among them, the Arrhenius method can be based on the 11 self-heating rate versus the reciprocal of temperature, as shown in Eq. (9): 12 𝑘 = 𝐴exp(𝑘 𝑇𝑎) −𝐸 (9) b 13 The experimental data from the VSP2 can be used to obtain Ea and A using the Arrhenius 14 method; these results are shown in Table 3 and Fig. 6. The apparent activation energies of 18650 15 Li-ion batteries were 3.5, 2.1, 1.7, and 2.4 eV, corresponding to SOC of 30, 50, 80, and 100%, 16 respectively. 17 According to linear analysis results, we can obtain ln((dT/dt)/(Tf–T)) versus the reciprocal 18 of absolute temperature [20]. Then, these data can be used to obtain the slope to calculate the 19 apparent activation energy, as shown in Eq. (7). The thermokinetic parameters of 18650 Li-ion 20 batteries were 6.0, 1.8, 1.7, and 1.2 eV, corresponding to SOCs of 30, 50, 80, and 100%, 21 respectively, as shown in Fig. 8 and Table 3. The values are the same when using two apparent 22 activation energy methods for the SOCs of 50 and 80%. 23 ln𝑘 = ln𝑘0 − 𝐾 a𝑇 = ln 𝐸 b d𝑇/d𝑡 (10) Tf −𝑇 n Cn−1 0 (𝑇 −T ) (Tf −T0 ) f 0 11 1 When 18650 Li-ion batteries are exposed to high ambient temperature, the separator film 2 may crack and cause the short-circuiting of the cathode and anode. The electrolyte was 3 composed of organic solvent, and cathode materials included lithium ion and metal ions. If 4 organic solvent mix with metal ions, it will occur incompatible reaction to induce thermal 5 runaway. Furthermore, the electrochemical reactions of a Li-ion battery contribute heat 6 generating and gas expanding. The runaway reaction mechanisms are complicated and 7 disorder [16]. The runaway behaviors depended on SOCs of Li-ion battery and should control 8 the battery thermal management. 9 12 1 Conclusions 2 3 The thermal runaway parameters, such as T 0, Pmax, dT/dt and dP/dt, were sequentially 4 increasing with SOCs of 30%, 50%, 80%, and 100% on 18650 Li-ion battery. Moreover, the 5 exothermic reaction form the adiabatic calorimetry experiments could estimate the kinetic 6 data to an individual battery. The calorimetry methodology is proposed to evaluate the safety 7 issue on thermal management of battery pack and module. The thermal runaway of 18650 Li- 8 ion batteries at higher SOCs should be considered with caution during applications, particularly 9 under abnormal conditions. 10 11 Acknowledgements 12 13 The authors are grateful to Mr. Can-Yuan Jhu and Mr. Hong-Hsi Lin for the experimental 14 suggestions and to China Medicine University (CMU), Taiwan, ROC (grant no. CMU102-N-09) 15 for the financial support of this study. 16 13 1 2 3 References 1. Hallaj SA, Maleki H, Hong JS, Selman JR. Thermal modeling and design considerations of lithium-ion batteries. J Power Sources. 1999;5:1–8. 4 2. Jhu CY, Wang YW, Wen CY, Shu CM. Thermal runaway potential of LiCoO2 and 5 Li(Ni1/3Co1/3Mn1/3)O2 batteries determined with adiabatic calorimetry methodology. Appl 6 Energy. 2011;126:156–62. 7 8 9 10 3. Roth EP, Doughy DH. Thermal abuse performance of high-power 18650 Li-ion cells. J Power Sources. 2004;128:308–18. 4. Balakrishnan PG, Ramesh R, Perm KT. Safety mechanisms in lithium-ion batteries. J Power Sources. 2006;155:401–4. 11 5. Wen CY, Jhu CY, Wang YW, Chiang CC, Shu CM. Thermal runaway features of 18650 12 lithium-ion batteries for LiFePO4 cathode material by DSC and VSP2. J Therm Anal 13 Calorim. 2013;109:1297–1302. 14 15 16 17 18 19 20 21 22 23 6. Hu C, Youn BD, Chung J. A multiscale framework with extended Kalman filter for lithiumion battery SOC and capacity estimation. Appl Energy. 2012;92:694–704. 7. He H, Xiong R, Guo H. Online estimation of model parameters and state of charge of LiFePO4 batteries. Appl Energy. 2012;89:413–20. 8. Znag Z, Fouchard D, Rea JR. Differential scanning calorimetry material studies: implications for the safety of lithium-ion cells. J Power Sources. 1998;70:16–20. 9. Jhu CY, Wang YW, Wen CY, Chiang CC, Shu CM. Self-reactive rating of thermal runaway hazards on 18650 lithium-ion batteries. J Therm Anal Calorim. 2011;106:159–63. 10. Wang Q, Sun J, Yao X, Chen C. Micro-calorimeter study on the thermal stability of lithiumion battery electrolytes. J Loss Prev Process Ind. 2006;19:561–9. 14 1 11. Ishikawa H, Mendoza D, Sone T, Umeda M. Study of thermal deterioration of lithium-ion 2 secondary cell using an accelerated rate calorimeter (ARC) and AC impedance method. J 3 Power Sources. 2012;198:136–242. 4 12. Shu CM, Yang YJ. Using VSP2 to separate catalytic and self-decomposition reaction for 5 hydrogen peroxide in the present of hydrochloric acid. Thermochim Acta. 2002;392:259– 6 269. 7 8 9 10 13. Tobishima SI, Yamaki J. A consideration of lithium ion of cell safety. J Power Sources. 1999;81:882–6. 14. Wang Q, Sun J, Chen C. Effects of solvent and salt on the thermal stability of lithiated graphite used in lithium ion battery. J Hazard Mater. 2009;167:1209–14. 11 15. Jhu CY, Wang YW, Shu CM, Chang JC, Wu HC. Thermal explosion hazards on18650 12 lithium ion batteries with a VSP2 adiabatic calorimeter. J Hazard Mater. 2011;192:99–107. 13 16. Q.S. Wang, P. Ping, X. Zhao, G. Chu, J. Sun, C. Chen. Thermal runaway caused fire and 14 explosion of lithium ion battery. J Power Sources. 2012;208:210–224. 15 17. Ng KS, Moo CS, Chen YP, Hsieh YC. Enhanced coulomb counting method for estimating 16 state-of-charge and state-of-health of lithium-ion batteries. Appl Energy. 2009;86:1506– 17 1511. 18 19 18. FAI. VSP2 manual and methodology. Fauske & Associates, LLC: Burr Ridge, Illinois, USA; 2002. 20 19. MacNeil DD, Christensen L, Landuect J, Paulsen JM, Dahn JR. An autocatalytic 21 mechanism for the reaction of LixCoO2 in electrolyte at elevated temperature. J 22 Electrochem Soc. 2000;147:970–9. 23 20. Huang CC, Peng JJ, Wu SH, Hou HY, You ML, Shu CM. Effects of cumene hydroperoxide 15 1 on phenol and acetone manufacturing by DSC and VSP2. J Therm Anal Calorim. 2 2010;102:579–85. 3 16 1 Table captions 2 Table 1 Information on the various SOCs in SE US18650GR of 18650 Li-ion batteries 3 Table 2 VSP2 adiabatic experimental data for the various SOCs in 18650 Li-ion batteries 4 Table 3 Apparent activation energy analysis graphs for 18650 Li-ion batteries 5 6 17 1 Figure captions 2 Fig. 1 Temperature–time curves for the adiabatic runaway system of the 18650 Li-ion batteries 3 in SOC of 30, 50, 80, and 100% 4 Fig. 2 Pressure–time curves for the adiabatic runaway system of the 18650 Li-ion batteries in 5 SOC of 30, 50, 80, and 100% 6 Fig. 3 Temperature–pressure curves for the adiabatic runaway system of the 18650 Li-ion 7 batteries in SOC of 30, 50, 80, and 100% 8 Fig. 4 Self-heating rate for the thermal decomposition of the 18650 Li-ion batteries in SOC of 9 30, 50, 80, and 100% 10 Fig. 5 Pressure rise rate for the thermal decomposition of the 18650 Li-ion batteries in SOC of 11 30, 50, 80, and 100% 12 Fig. 6 18650 Li-ion batteries in SOC of 30, 50, 80, and 100% of apparent activation energy 13 analysis graph by Arrhenius equation 14 15 16 Fig. 7 18650 Li-ion batteries in SOC of 30, 50, 80, and 100% of apparent activation energy analysis graph 18