New energy high voltage battery leakage detection

Anomaly Detection Method for Lithium-Ion Battery

In this paper, a battery cell anomaly detection method is proposed based on time series decomposition and an improved Manhattan distance algorithm for actual operating data of electric vehicles.

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Fault Diagnosis Method of Lithium-Ion Battery Leakage Based on

This paper presents a fault diagnosis method for electrolyte leakage of lithium-ion based on support vector machine (SVM) by electrochemical impedance spectroscopy

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Current leakage detection in high voltage battery pack

A method of detecting leakage currents in a high voltage battery pack system reduces detection error caused by fluctuations in battery pack voltage during the detection process....

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Current leakage detection in high voltage battery pack

US20040004481A1 - Current leakage detection in high voltage battery pack - Google Patents Current leakage detection in high voltage battery pack Download PDF Info Publication number US20040004481A1. US20040004481A1 US10/447,042 US44704203A US2004004481A1 US 20040004481 A1 US20040004481 A1 US 20040004481A1 US 44704203 A US44704203 A

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Anomaly Detection Method for Lithium-Ion Battery Cells Based

In this paper, a battery cell anomaly detection method is proposed based on time series decomposition and an improved Manhattan distance algorithm for actual operating data of electric vehicles.

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Leak Detection of Lithium-Ion Batteries and Automotive

The Agilent family of HLD leak detectors, PHD‑4 portable sniffer leak detector, and C15 component leak detector are rugged, precise, and easy‑to‑use instruments that accurately and

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AFE for Insulation Monitoring in High-Voltage EV Charging

Currently, high-voltage (HV) batteries of around 400 V are used as storage elements in electric cars, and there is a strong trend emerging towards higher voltage batteries, which allow for

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Optimized GRU‐Based Voltage Fault Prediction Method for

The experimental results show that the hybrid model proposed in this study outperforms the state-of-the-art techniques such as informer and transformer in voltage fault

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Recent advances in model-based fault diagnosis for lithium-ion

Capacity analysis is an effective method for fault estimation, particularly in the case of SC faults. When an SC occurs in a battery cell, additional energy is consumed by the leakage current.

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Recent advances in model-based fault diagnosis for lithium-ion

Capacity analysis is an effective method for fault estimation, particularly in the case of SC faults. When an SC occurs in a battery cell, additional energy is consumed by the leakage current. This serves as a characterization of a faulty battery cell. By examining capacity-related variables such as remaining charge capacity (RCC) or

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Detection and Fault Diagnosis of High-Voltage System of New Energy

Taking the leakage detection of byd-qin hybrid high-voltage system as an example, this paper analyzes the fault generation mechanism and puts forward the detection technology of new...

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Optimized GRU‐Based Voltage Fault Prediction Method for

The experimental results show that the hybrid model proposed in this study outperforms the state-of-the-art techniques such as informer and transformer in voltage fault prediction by achieving MAE, MSE, and MAPE metrics of 0.009272%, 0.000222%, and 0.246%, respectively, and maintains high efficiency in terms of the number of parameters and runtime.

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Rapid detection of ppb level electrolyte leakage of lithium ion battery

As known, the leakage of lithium battery (LIB) electrolyte is an important cause for runaway failure of LIB, so it has great significance to develop an approach for electrolyte leakage detection with low detection limit and fast response. In this work, we developed a Pd-doped WO 3 gas sensor, taking the main component of electrolyte Ethyl Methyl Carbonate (EMC) as the

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

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. Based on the 0.18 µm

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Fault Diagnosis Method of Lithium-Ion Battery Leakage Based on

This paper presents a fault diagnosis method for electrolyte leakage of lithium-ion based on support vector machine (SVM) by electrochemical impedance spectroscopy (EIS) test. And the distribution of relaxation time (DRT) method is also employed to analyze the effect of leakage on the dynamic reaction process with full and half cells. In the

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

meets the battery voltage detection requirements of high accuracy and synchronization. Most importantly, the method has no battery leakage caused by the transfer cir-cuit. However, the safety of battery pack can''t be con-stantly monitored. When the sampling switch is turned on, all battery voltages are sampled and stored in the corre-

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Leak Detection of Lithium-Ion Batteries and Automotive

The Agilent family of HLD leak detectors, PHD‑4 portable sniffer leak detector, and C15 component leak detector are rugged, precise, and easy‑to‑use instruments that accurately and efficiently detect leaks and are ideally suited for testing batteries in any number of leak detection techniques, such as inside‑out, outside‑in,

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Research progress in fault detection of battery systems: A review

The battery overvoltage or undervoltage fault can be diagnosed using the threshold-based method. The voltage information collected by the voltage sensor is compared with the preset threshold. When the battery voltage exceeds the threshold, the fault occurrence state and fault occurrence time are defined [13]. Pre-processing the collected data

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Battery leakage fault diagnosis based on multi-modality multi

In this paper, the performance abnormalities of normal battery and real-vehicle electrolyte leakage battery are firstly analyzed by experimental comparison, and found that there are behaviors such as the increase of ohmic resistance in the full SOC interval, the decrease

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Detection and Fault Diagnosis of High-Voltage

Taking the leakage detection of byd-qin hybrid high-voltage system as an example, this paper analyzes the fault generation mechanism and puts forward the detection technology of new energy

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Battery leakage fault diagnosis based on multi-modality multi

In this paper, the performance abnormalities of normal battery and real-vehicle electrolyte leakage battery are firstly analyzed by experimental comparison, and found that there are behaviors such as the increase of ohmic resistance in the full SOC interval, the decrease and leftward shift of the peak of the incremental capacity curve, the

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AFE for Insulation Monitoring in High-Voltage EV Charging

Currently, high-voltage (HV) batteries of around 400 V are used as storage elements in electric cars, and there is a strong trend emerging towards higher voltage batteries, which allow for faster charge times. DC fast chargers supply power to the battery management system in the electric vehicle (EV) bypassing the onboard battery charger.

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Lithium-ion battery of an electric vehicle short circuit caused by

Lithium-ion batteries (LIBs), which have high energy density and long cycle life, are generally considered to be the core mature power storage materials in EVs [1]. However, LIB safety issues have attracted widespread research interest due to the frequent occurrence of abuse in EVs. The consequences of abuse behavior (including thermal abuse, electrical

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Fault diagnosis of new energy vehicles based on improved

The new energy vehicle system is in the initial stage of application, so the probability of fault is greater. Therefore, its reliability urgently needs to be improved. In order to improve the fault diagnosis effect of new energy vehicles, this paper proposes a fault diagnosis system of new energy vehicle electric drive system based on improved machine learning and

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A New Method of Insulation Detection on Electric Vehicles Based

The lithium-ion batteries of an electric vehicle belong to a high-voltage direct-current system. The high-voltage insulation performance of electric vehicles is very important for their safe operation. To solve the problems of slow response and the poor estimation accuracy of the insulation resistance under complex vehicle working conditions, a real-time insulation resistance

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Detection and Fault Diagnosis of High-Voltage System

Taking the leakage detection of byd-qin hybrid high-voltage system as an example, this paper analyzes the fault generation mechanism and puts forward the detection technology of new...

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Research progress in fault detection of battery systems: A review

The battery overvoltage or undervoltage fault can be diagnosed using the threshold-based method. The voltage information collected by the voltage sensor is compared

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An early diagnosis method for overcharging thermal runaway of energy

The existing diagnosis methods for TR caused by overcharging in LIBs usually involve feature measurements based on voltage, gas, or cell temperature [[10], [11], [12]] terms of voltage-based detection, Zhong et al. [13] conducted thermal runaway tests on 18,650 batteries, indicating that the drastic voltage drop occurs between 127 and 409 s before

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Battery leakage fault diagnosis based on multi-modality multi

With the rapid development of the new energy vehicle industry and the overall number of electric vehicles, the thermal runaway problem of lithium-ion batteries has become a major obstacle to the promotion of electric vehicles. During actual usage, the battery leakage problem leads to the degradation of the system performance, which may cause arcing,

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