Multi-cell lithium battery power detection

To reduce the excessive power consumption and eliminate the battery voltage imbalance caused in conventional method, a novel broken line detection scheme for Li-ion battery protection integrated circuits (ICs) is …

Novel broken line detection circuit for multi-cells Li-ion battery …

To reduce the excessive power consumption and eliminate the battery voltage imbalance caused in conventional method, a novel broken line detection scheme for Li-ion battery protection integrated circuits (ICs) is …

Fault diagnosis and abnormality detection of lithium-ion battery …

DOI: 10.1016/J.JPOWSOUR.2020.228964 Corpus ID: 224923318 Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution @article{Xue2021FaultDA, title={Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution}, author={Qiao Xue and Guang …

Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi …

In order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface defects of lithium battery pole piece based on multi-feature fusion and PSO-SVM was proposed in this paper. Firstly, image subtraction and contrast adjustment were used to preprocess the defect …

Model-based thermal anomaly detection for lithium-ion batteries using multiple-model residual generation …

The continuously increasing energy and power density of lithium-ion batteries will aggravate the safety and reliability concerns of advanced battery management systems (BMSs). To ensure the safety and reliability of lithium-ion batteries, the BMS must implement anomaly detection algorithms that are capable of capturing abnormal behaviors.

Battery voltage transfer method for multi-cells Li-ion battery pack …

In order to suppress leakage current caused in the traditional multi-cells series Li-ion battery pack protection system, a new battery voltage transfer method is presented in this paper, which uses the current generated in the transfer process of one of the batteries to compensate for the leakage of itself and other cells except the top cell. …

Anomaly Detection Method for Lithium-Ion Battery Cells Based on …

Abnormalities in individual lithium-ion batteries can cause the entire battery pack to fail, thereby the operation of electric vehicles is affected and safety accidents even occur in severe cases. Therefore, timely and accurate detection of abnormal monomers can prevent safety accidents and reduce property losses. In this paper, a …

Fault detection of lithium-ion battery packs with a graph-based …

Semantic Scholar extracted view of "Fault detection of lithium-ion battery packs with a graph-based method" by Guijun Ma et al. DOI: 10.1016/j.est.2021.103209 Corpus ID: 244184665 Fault detection of lithium-ion battery packs with a graph-based method @article ...

Detection and isolation of faults in a lithium-ion battery pack using a switched architecture of equivalent cell …

1. Although the method to isolate a faulty PCM in a battery pack with multiple cells connected in various series–parallel combinations is seen only in [12], it does not detect and isolate various commonly occurring battery faults.Identification of …

Anomaly Detection Method for Lithium-Ion Battery Cells Based on …

By analyzing the data of three actual electric vehicles in operation, it is shown that the method proposed in this paper can effectively and accurately detect an …

An Online Adaptive Internal Short Circuit Detection …

Internal short circuit (ISC) is a critical cause for the dangerous thermal runaway of lithium-ion battery (LIB); thus, the accurate early-stage detection of the ISC failure is critical to improving the safety …

Modeling and simulation of high energy density lithium-ion battery …

This paper presents multiple fault detection of lithium-ion battery using two non-linear Kalman filters. A discrete non-linear mathematical model of lithium ion …

An Early Multi-Fault Diagnosis Method of Lithium-ion Battery …

Abstract: Lithium-ion power battery is the "heart" of electric vehicles. It is significant to diagnose the battery fault quickly and accurately. A real-time data driven diagnosis …

Model based insulation fault diagnosis for lithium-ion battery pack …

Therefore we randomly choose two lithium-ion cells (No. DI03216A1/No. DI09320A2) from the battery pack. ... Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles J. Power Sources, 223 (2013), pp. 136-146 [20] H. ...

A machine learning framework for early detection of lithium plating combining multiple physics-based electrochemical signatures

detection of lithium plating combining multiple physics-based electrochemical signatures Chen et al. establish a machine learning framework that classifies key cell-aging phenomena, normal SEI growth, and Li plating for fast-charging Li-ion batteries.

Multi-fault Detection and Isolation for Lithium-Ion Battery Systems …

In this article, an online multifault diagnosis strategy based on the fusion of model-based and entropy methods is proposed to detect and isolate multiple types of faults, including …

A novel voltage protection method for multi-cell lithium-ion battery …

This paper presents a Li-ion battery monitoring and protection IC suitable for monitoring 12 battery cells for electric vehicles (EVs). A two-wire, transformer based, isolated interface ...

Multi-fault Detection and Isolation for Lithium-Ion Battery Systems …

IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 37, NO. 1, JANUARY 2022 971 Multi-fault Detection and Isolation for Lithium-Ion Battery Systems Kai Zhang, Xiaosong Hu, Senior Member, IEEE, Yonggang ...

Batteries | Free Full-Text | Detection of Lithium Plating in Li-Ion Cell …

The widespread use of electric vehicles is nowadays limited by the "range anxiety" of the customers. The drivers'' main concerns are related to the kilometric range of the vehicle and to the charging time. An optimized fast-charge profile can help to decrease the charging time, without degrading the cell performance and reducing the cycle life. …

Realistic fault detection of li-ion battery via dynamical deep learning

Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon …

Multi-objective nonlinear observer design for multi-fault detection …

In this paper, we design a multi-objective nonlinear fault detection observer for lithium-ion batteries, which is robust against disturbances but sensitive to …

A multi-fault diagnosis method based on modified Sample Entropy for lithium-ion battery …

An experiment platform is built to validate the effectiveness and robustness of the proposed multi-fault detection solution. The experiment platform consists of an AVL battery tester, a BMS, and an AVL control cabinet. The tested batteries, including four LiFePO 4 cells, are connected in series, whose parameters are shown in Table 1.

A Broken Line Detection Circuit for Multi-cell Li-ion Battery …

Request PDF | On Jan 1, 2019, Pang-Yen Lou and others published A Broken Line Detection Circuit for Multi-cell Li-ion Battery ... Disconnection protection circuit for lithium power battery pack ...

A Novel Voltage-Abnormal Cell Detection Method for Lithium-Ion Battery Mass Production Based on Data-Driven Model with Multi …

Before leaving the factory, lithium-ion battery (LIB) cells are screened to exclude voltage-abnormal cells, which can increase the fault rate, troubleshooting difficulty, and degrade pack performance. However, the time interval to obtain the detection results through the existing voltage-abnormal cell method is too long, which can seriously affect …

Novel broken line detection circuit for multi‐cells Li‐ion battery protection ICs

In this paper, a novel broken line detection circuit for multi-cells Li-ion battery protection ICs is proposed, which can reliably detect broken lines in a wide cell voltage range. The broken line detection is activated by a periodic narrow pulse control signal, which can significantly reduce the power consumption.

Modeling and simulation of high energy density lithium-ion battery for multiple fault detection …

Modeling and simulation of high energy density lithium-ion ...

A High Precision Voltage Detection Circuit for Multiple Lithium Batteries …

In order to meet the demand of high-precision voltage sampling of multiple lithium batteries, a high-precision voltage detection circuit aiming at the safety problems during battery use is proposed in this paper. The reference voltage generates a high-precision threshold voltage through the resistor divider network, and the sampling voltage is …

Modeling and simulation of high energy density lithium-ion battery for multiple fault detection …

occurs on lithium-ion battery pack for over-charge, over discharge and short circuit fault between inter cell power of lithium-ion batteries simultaneously. In the present study, a systematic ...

Internal short circuit detection in Li-ion batteries using supervised machine learning …

Internal short circuit detection in Li-ion batteries using ...

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