Article
Energy & Fuels
Anci Chen, Weige Zhang, Caiping Zhang, Zhihao Wang, Xinyuan Fan
Summary: A novel on-board Al-Cu ISC detection method free from dependence on voltage sampling frequency is proposed, which extracts and converts signals to continuously indicate the occurrence of Al-Cu ISC.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Mechanical
Yue Liu, Ya Mao, Huacui Wang, Yongjun Pan, Binghe Liu
Summary: Lithium metal materials are promising anodes for high energy density batteries, but the biggest challenge for their engineering application is the safety concern. Understanding the internal short circuit (ISC) behaviors of lithium metal batteries (LMBs) under mechanical abusive loading is essential before commercialization. This study characterizes the mechanical behaviors of LMB components, establishes a physics-based model, and reveals the ISC process from mechanical deformation to triggering. The effects of factors like state-of-charge and cycle numbers on ISC behaviors are also studied.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Energy & Fuels
Wenfei Zhang, Nawei Lyu, Yang Jin
Summary: In this paper, an algorithm based on loop current detection is proposed to detect internal short circuit of Li-ion batteries, enabling real-time sensing of internal short circuit in a multi-series 2-parallel battery module. The method only requires voltage detection at both ends of the diagnostic resistor, minimizing detection points and additional wiring. Experimental results show that the method is effective in timely detecting internal short circuits in parallel lithium-ion battery packs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Environmental
Xiaopeng Tang, Jiajun Zhu, Xin Lai, Yuanqiang Zhou, Yuejiu Zheng, Furong Gao
Summary: Early-stage detection of battery internal short circuit is crucial for preventing fire accidents. This study proposes an equalization-based method for quantitatively calculating short circuit resistance, which shows high accuracy and performance in battery-in-the-loop experiments.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Materials Science, Multidisciplinary
Jianhui Deng, Xiaoqing Yang, Guoqing Zhang
Summary: The internal short circuit of lithium ion batteries caused by lithium dendrites was simulated using finite element numerical simulation method in this paper. The results showed that heat production from short circuit in LIB is mainly contributed by the positive and negative electrodes, and increases with the radius and center distance of lithium dendrites. This study provides relevant theoretical basis for experimental research on growth of lithium dendrites, short circuit and heat production in LIBs, and contributes to the design of safer LIBs.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Chemistry, Physical
Xin Lai, Changyong Jin, Wei Yi, Xuebing Han, Xuning Feng, Yuejiu Zheng, Minggao Ouyang
Summary: This comprehensive review investigates the mechanism and evolutionary process of internal short circuit (ISC) within lithium-ion batteries (LIBs), covering types, inducing mechanisms, evolution stages, experimental methods, detection and diagnosis techniques, prevention methods, and future prospects. The study emphasizes the importance of improving safety in LIBs through advancements in modeling, simulation, detection, and prevention of ISC.
ENERGY STORAGE MATERIALS
(2021)
Article
Chemistry, Physical
Dongsheng Ren, Xuning Feng, Lishuo Liu, Hungjen Hsu, Languang Lu, Li Wang, Xiangming He, Minggao Ouyang
Summary: Thermal runaway, a critical issue in the application of lithium-ion batteries, is a thermalelectrical coupled process where exothermic chemical reactions and internal short circuit coincide. This study investigates the relationship between internal short circuit and thermal runaway under thermal abuse conditions, finding the limited contribution of internal short circuit to thermal runaway. The results provide new insights into battery thermal runaway mechanism and safety design.
ENERGY STORAGE MATERIALS
(2021)
Article
Chemistry, Physical
Binghan Cui, Han Wang, Renlong Li, Lizhi Xiang, Jiannan Du, Huaian Zhao, Sai Li, Xinyue Zhao, Geping Yin, Xinqun Cheng, Yulin Ma, Hua Huo, Pengjian Zuo, Chunyu Du
Summary: Researchers developed an accurate and fast method for detecting the early internal short circuit (ISC) of Lithium-ion batteries by combining electrochemical impedance spectroscopy (EIS) with a deep neural network (DNN). The ISC detection accuracy reached 97.5% for the normal battery with zero false positives, and the proposed method was also proven to be applicable to other batteries. By selecting the most sensitive EIS spectrum to ISC based on the distribution of relaxation times and sensitivity methods, the required EIS measurement time was further reduced and computational efficiency was improved. The results demonstrate the value of EIS spectrum in battery management systems.
JOURNAL OF POWER SOURCES
(2023)
Article
Thermodynamics
Qifan Yang, Jinlei Sun, Yongzhe Kang, Hongzhong Ma, Dawei Duan
Summary: This paper proposes an ISC detection method based on the transformation matrix and an ISC resistance calculation method based on an improved state-space model. The transformation matrix is used to capture the skewed and downward voltage pattern of the ISC cell in the battery pack. An online detection flow is designed based on the opposite variation relationship between adjacent cells. Moreover, an improved state-space model is developed to directly estimate the ISC current, and a dual extended Kalman filter is deployed for accurate state estimations.
Article
Energy & Fuels
Mingbiao Chen, Wenji Song, Shili Lin, Fanfei Bai, Ziping Feng
Summary: This paper proposes an active protection method based on the evaluation of internal short circuit (ISC) risk. An evaluation model based on the electrochemical model is established and successfully verified with experimental data. The study finds that factors such as cycle number, charge rate, and battery temperature significantly affect the probability of ISC risk. With the active protection method, ISC risk can be predicted before it occurs.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Ruifei Ma, Yelin Deng, Xingxing Wang
Summary: This study proposes and demonstrates that the apparent diffusion coefficient can be used as a highly sensitive indicator to detect internal short circuit (ISC) during battery aging. By using terminal voltage input under a simplified pseudo-two-dimensions model, the intrinsic parameters are identified and their sensitivities to ISC are examined. The experiment shows that the identified diffusion coefficients are responsive for all levels of ISC resistance and the sensitivity increases as the battery degrades. The effectiveness of the apparent diffusion coefficient method is compared with other commonly applied indicators.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Mechanical
Yunlong Qu, Zhiwei Sun, Christopher Spettmann, Bobin Xing, Yong Xia, Qing Zhou
Summary: In lithium-ion prismatic cells, laser welding connections between non-jellyroll structures sometimes experience early fracture under mechanical abuse loading. This study carried out different mechanical tests on typical laser welded areas and developed a finite element model for the laser welding connections. The findings suggest that failure criteria for prismatic cells should also consider the non-jellyroll structures and laser welding connections.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Chemistry, Applied
Lishuo Liu, Xuning Feng, Christiane Rahe, Weihan Li, Languang Lu, Xiangming He, Dirk Uwe Sauer, Minggao Ouyang
Summary: This study investigates the thermal-electrical coupled behaviors of internal short circuit (ISC) in lithium-ion batteries, providing insights into failure mechanisms and guidance for the development of ISC models and detection algorithms. Different types of ISC exhibit varying thermal-electrical behaviors at different states-of-charge, with the expansion effect of the failure area playing a crucial role in the further evolution of thermal runaway.
JOURNAL OF ENERGY CHEMISTRY
(2021)
Article
Chemistry, Multidisciplinary
Xudong Duan, Jiani Li, Yikai Jia, Xiang Gao, Lubing Wang, Jun Xu
Summary: This study clarifies the evolution of internal short circuit (ISC) modes in lithium-ion batteries (LIBs) with high state-of-charges (SoCs) using combined post-mortem characterization and multiphysics modeling. The findings reveal that the dominant ISC mode in high SoC situations is the Al current collector (Al)-Anode coating (An) mode. A simple yet effective approach is also proposed to avoid the Al-An mode after battery fractures. The results provide insights into ISC phenomena and mechanisms in high SOC cells, highlighting the importance and potential of battery structural design for developing next-generation robust batteries.
Review
Energy & Fuels
Lili Huang, Lishuo Liu, Languang Lu, Xuning Feng, Xuebing Han, Weihan Li, Mingxuan Zhang, Desheng Li, Xiaobin Liu, Dirk Uwe Sauer, Minggao Ouyang
Summary: This study comprehensively summarizes the inducement, detection, and prevention of internal short circuit (ISC) in lithium-ion batteries, including analyzing ISC triggers through a fault tree, summarizing substitute triggering methods, discussing ISC severity, and reviewing ISC detection methods. The prevention strategies were also summarized to reduce ISC risk by blocking electron or lithium-ion channels.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Damoon Soudbakhsh, Mehdi Gilaki, William Lynch, Peilin Zhang, Taeyoung Choi, Elham Sahraei
Article
Energy & Fuels
Marian Bulla, Stefan Kolling, Elham Sahraei
Article
Energy & Fuels
Marian Bulla, Stefan Kolling, Elham Sahraei
Summary: The study focuses on developing a novel material model to investigate the orthotropic-visco-elastic and orthotropic-visco-plastic mechanical behavior of polymeric materials, aiming to enhance the accuracy of finite element analysis for the mechanical behavior of Lithium-ion batteries.
Article
Energy & Fuels
Marian Bulla, Christopher Schmandt, Stefan Kolling, Thomas Kisters, Elham Sahraei
Summary: The study aims to investigate the behavior of high performance 21700 Lithium-Ion cylindrical battery cells under different loading velocities and states of charge, and develop a finite element analysis (FEA) model. Experiments were conducted using a hydraulic flat-compression test at different states of charge and loading velocities. The developed model can accurately predict the mechanical behavior and assist in crashworthiness analysis of electric vehicles.
