In this paper, we propose an algorithm for detecting internal short circuit of Li-ion battery based on loop current detection, which enables timely sensing of internal short circuit of any battery in a multi-series 2-parallel battery module by detecting the loop current. These internal short circuit detection methods can be classified into
Current research on ISC faults diagnosis of lithium-ion batteries is very extensive. Zhang et al. proposed a lithium-ion battery ISC detection algorithm based on loop current detection [8].This method achieved ISC fault detection for any single battery in a multi-series and dual-parallel connected battery pack through loop current monitoring.
Download Citation | On Dec 1, 2023, Yubin Wang and others published Research on internal short circuit detection method for lithium-ion batteries based on battery expansion characteristics | Find
These internal short circuit detection methods can be classified into internal short circuit detection methods based on self-discharge [25], inconsistency [26], machine learning [27, 28], and remaining charging capacity [15, 29], etc. The advantages and disadvantages of these internal short circuit detection methods are shown in Table 1.
Short circuit (SC) is a stumbling block to battery safety. The common battery management system (BMS) holding the fixed threshold focuses overly on the absolute magnitude of battery voltage, and therefore cannot detect the early SC. This paper proposes an online method for detecting SC based on principal component analysis (PCA), which possesses an adaptive threshold. First,
A fault diagnosis method of battery internal short circuit based on multi-feature recognition Feng XN, Pan Y, He XM, et al. (2018b) Detecting the internal short circuit in large-format lithium-ion battery using model-based fault-diagnosis algorithm. (2020) Online detection of soft internal short circuit in lithium-ion batteries at
This manuscript proposes a fault detection method for internal short circuits in battery packs based on the correlation coefficient. Compared to the threshold a
In this paper, a model-based and self-diagnostic method for online ISC detection of LIB is proposed using the measured load current and terminal voltage. An equivalent circuit model is built to describe the
The circuit shown in Figure 1 can effectively detect short-to-battery (STB), short-to-ground (STG), open-circuit, and short-circuit faults. The circuit uses an ADA4433-1 (U1) fully integrated video reconstruction filter as part of the video transmission signal chain and an ADA4830-1 (U2) high-speed difference amplifier as the detection circuit.
To address these challenges, we develop a periodic segmentation Transformer-based ISC detection method for battery packs. Firstly, considering three different operating conditions, a comprehensive
Internal short circuit (ISC) is the main cause of thermal runaway in battery packs. The subtle early characteristics of ISC lead to high detection delay, low diagnostic efficiency, and inaccurate fault isolation/location, which hinder the practical application of statistical methods.
Results suggest that the proposed ISC detection method with self-diagnostic feature can identify the internal short circuit resistance online accurately with a high robustness to the noise disturbance. Internal short circuit (ISC) has been proven to be responsible for the thermal runaway failure of lithium-ion battery (LIB). The accurate detection of the ISC failure at
In order to avoid the influence of inconsistencies in the battery pack upon fault detection, this paper proposes a correlation based method for short circuit detection in lithium-ion battery packs. The main idea is to capture the unusual voltage variation at the initial phase of a short circuit fault by calculating the correlation coefficients of the cell voltages.
The battery internal short-circuit detection method according to claim 11, wherein when the internal resistance value of the battery that is estimated from the temperature of the battery is represented by "r" and the amount of change in the terminal voltage during a predetermined time period upon the voltage drop is represented by "ΔV1
With the rapid evolution of electric vehicles (EVs), assuring the security and dependability of battery packs has acquired paramount significance. Internal short circuit (ISC) within EV battery packs poses a threat to the safety and reliability of EVs. Most of existing ISC detection methods still suffer from two limitations, i.e., the dataset incompleteness and poor
Therefore, the paper provides a detection method for internal short circuits (ISCs) based on coupled mechanical stress that can determine the type of short circuit. Firstly,
In this paper, a model-based and self-diagnostic method for online ISC detection of LIB is proposed using the measured load current and terminal voltage. An equivalent circuit model is built to
In this work, a new ISCr detection method based on the symmetrical loop circuit topology (SLCT) is introduced. The SLCT ensures that every battery has the same priority in
Online internal short circuit detection method considering equalization electric quantity for lithium-ion battery pack in electric vehicles. Xin Lai the indispensable equalizer in a battery management system reduces
Abusive lithium-ion battery operations can induce micro-short circuits, which can develop into severe short circuits and eventually thermal runaway events, a significant safety concern in
A novel method that can detect the Internal short circuit in real time based on an advanced machine leaning approach, is proposed.
The battery pack based on individual DP (dual polarization) battery models is established to verify the ISCr detection method. The proposed ISCr detection method shows excellent
Online internal short circuit detection method considering equalization electric quantity for lithium-ion battery pack in electric vehicles. Int J Energy Res, 45 (5) (2020) Internal short circuit detection for battery pack using equivalent parameter and consistency method. J Power Sources, 294 (2015), pp. 272-283.
assuring the security and dependability of battery packs has acquired paramount significance. Internal short circuit (ISC) within EV battery packs poses a threat to the safety and reliability of EVs. Most of existing ISC detection methods still suffer from two limitations, i.e., the dataset incompleteness and poor feature representation.
Abstract:The early detection of soft internal short-circuit faults in lithium-ion battery packs is critical to ensuring the safe and reliable operation of electric vehicles. This article proposes a fault diagnosis method that can achieve the detection and assessment of soft internal short-circuit faults for lithium-ion battery packs.
Early detection of internal short circuit which is main cause of thermal runaway in a lithium-ion battery is necessary to ensure battery safety for users. As a promising fault index, internal
Internal short circuit detection methods for four special cases are proposed. (LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery systems, the internal short circuit (ISC) is considered to be a severe hazard, as it may result in catastrophic safety failures, such as thermal runaway. Considering this
摘要: A battery internal short-circuit detection apparatus includes: a voltage detection unit for detecting a terminal voltage of the battery; a current detection unit for detecting a discharging current of the battery; a voltage drop and recovery detection unit for detecting a momentary voltage drop of the battery and a recovery from the voltage drop, in response to a
Internal short circuit is one of the unsolved safety problems that may trigger the thermal runaway of lithium-ion batteries. This paper aims to detect the internal short circuit that occurs in battery pack with parallel-series hybrid connections based on the symmetrical loop circuit topology.The theory of the symmetrical loop circuit topology answers the question that:
Request PDF | Internal short circuit detection method for battery pack based on circuit topology | Internal short circuit (ISCr) is one of the major obstacles to the improvement of the battery safety.
In this work, a new ISCr detection method based on the symmetrical loop circuit topology (SLCT) for the battery pack is introduced. The SLCT ensures every battery has the
To improve the detection efficiency of large-scale lithium battery self-discharge detection, we designed a self-discharge screening method based on single branch current
The detection method can be used to detect short circuits in batteries early, and the fault degree can be judged by ISC level. Future research should consider the effects of battery aging and implement online parameter identification to improve the accuracy of ISC detection. This will enhance reliability and reduce the risk of TR.
Although very rare, cell internal short circuits are a leading cause of battery thermal runaway. They are a major safety issue for any application of a battery pack. Hence there is a requirement to prevent them
Early detection of an internal short circuit (ISCr) in a Li-ion battery can prevent it from undergoing thermal runaway, and thereby ensure battery safety. In this paper, a model-based switching
Battery voltage and responses of each part of the proposed detection method (V f, V c and V d) are recorded by the high-speed data logger, so as to verify the reliability of the proposed detection method in shielding the normal signals from
Spontaneous battery internal short circuit (ISC) is recognized as a major cause of lithium-ion batteries thermal runaway (TR). Multiple ISC detection methods have been developed to guarantee the secure application of lithium-ion batteries. However, conventional methods are invalid for the Al Cu ISC, a distinctive case in all the possible ISC scenarios, because the
Download Citation | On Mar 25, 2022, Hongzhong Ma and others published An Online Detection Method of Short Circuit for Battery Packs | Find, read and cite all the research you need on ResearchGate
Internal short circuit (ISCr) is one of the major obstacles to the improvement of the battery safety. The ISCr may lead to the battery thermal runaway and is hard to be detected in the early stage. In this work, a new ISCr detection method based on the symmetrical loop circuit topology (SLCT) is introduced. The SLCT ensures that every battery has the same priority in
Short circuits are a major contributor to thermal runaway in lithium-ion batteries, but present detection techniques cannot distinguish different forms of short circuits. Therefore, the paper provides a detection method for internal short circuits (ISCs) based on coupled mechanical stress that can determine the type of short circuit.
This manuscript proposes a fault detection method for internal short circuits in battery packs based on the correlation coefficient. Compared to the threshold a
Many effective methods have been reported in the literature for ISC detection using a range of statistical measures, estimation techniques, observer designs, etc. The correlations between the different voltage curves of various cells present in a battery pack have been used to detect the short circuits 34.
Therefore, the paper provides a detection method for internal short circuits (ISCs) based on coupled mechanical stress that can determine the type of short circuit. Firstly, cathode-anode (Ca-An) short-circuit batteries with a controllable triggering time and measurable internal temperature and electrode potential are designed.
Internal short circuit is a very critical issue that is often ascribed to be a cause of many accidents involving Li-ion batteries. A novel method that can detect the Internal short circuit in real time based on an advanced machine leaning approach, is proposed.
Internal short circuit (ISCr) is one of the major obstacles to the improvement of the battery safety. The ISCr may lead to the battery thermal runaway and is hard to be detected in the early stage. In this work, a new ISCr detection method based on the symmetrical loop circuit topology (SLCT) is introduced.
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