Few effective insulation state detection methods for power capacitor can be used in field. In this paper, a power capacitor insulation state detection method based on polarization-depolarization current is proposed. Firstly, the basic principles of the method are discussed. Then, two characterized parameters are conducted based on polarization and …
A Critical Review of Thermal Runaway Prediction and ...
A new time-domain measurement method for capacitive sensors is proposed. • A simple versatile direct sensor-to-microcontroller interface circuit is used.The method is designed to capacitive relative humidity sensors.The method is for microcontrollers with internal ACs and precise reference voltages. ...
To ensure electrical safety and reliability in electric vehicles equipped with a high-voltage battery pack, an insulation monitoring circuit is indispensable to continuously monitor the insulation resistance during charging or driving. Existing methods such as injecting specific signals into the monitoring circuit and earth help to extract the resistance …
Modular multilevel converter with integrated battery energy storage system has been verified as a better choice for large-scale battery energy storage system. However, battery power and its unbalanced distribution in submodules lead to significant increase of capacitor voltage ripple. Larger submodule capacitance is required to maintain the …
One of the Ag/Bi2Sr2CaCu2Ox racetrack magnets on which the stray capacitance quench detection method is applied [31, 32]. (a) Photography showing the coil (C), the pole island (I), the horse-shoe ...
International Journal of Computer Applications Technology and Research Volume 10–Issue 01, 01-05, 2021, ISSN:-2319–8656 3 can be obtained. Then the total voltage U of the DC system is obtained. U Up Un （3） S 1 is closed and S 2 is
Understanding the aging mechanisms of electronic components in critical in power electronic converters. Capacitors are crucial components to monitor as they contribute to approximately 30% of electronic component failures in power electronic converters. The paper introduces a novel approach that utilizes a neuro-inspired Hierarchical Temporal …
We develop a new small leakage detection system of capacitance array sensor for underground horizontal sandy tank, as shown in Fig. 1.The system consists of a capacitance array sensor mounted below UST, data acquisition unit installed in an explosion-proof ...
To quickly detect the self-discharge rate of lithium batteries, this paper proposes a rapid detection method to characterize the self-discharge rate by OCV …
Comparison of Battery balancing methods: Active cell ...
1. Introduction Cross-regional consumption of clean energy has transformed the electricity market in China and Europe [1].The sharp rise of energy trade demands accurate power metering, whose realization is based on accurate measurement of grid voltage [2].CVT ...
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 …
New energy batteries have been extensively applied to various equipments including automobiles, aerospace, aircraft, and electric devices. At present, new energy automobiles have sparked a growing focus, and the battery drive system accounts for 30–45 (%) of the cost of the new energy automobiles, so the manufacturing process …
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs). The internal resistance consistency is essential to the performance and safety of LIB packs. To detect the consistency of the LIB cell efficiently, an approach using the unbalanced current is proposed. First, a simple bridging circuit model with 4 LIB cells is built based on the first …
In this study, a novel data-driven framework for abnormality detection is developed through establishment of a neural network with interpretable modules on top of …
Here, authors present a large-scale electric vehicle charging dataset for benchmarking existing algorithms, and develop a deep learning algorithm for detecting Li …
It can be seen that there is still a lack of in-depth research on arc fault detection methods for battery systems [32, 36]. ... Design of arc fault detection method and test system for new energy automobiles Insul Mater, 51 …
Advanced materials and technologies for supercapacitors ...
Based on this, this paper uses the visualization method to preprocess, clean, and parse collected original battery data (hexadecimal), followed by visualization …
3. Equivalent circuit model This high-voltage system connected to the insulation monitoring circuit can be modeled as an equivalent circuit, as illustrated in Figure 4, where V b is the voltage of the high-voltage battery pack, V a is the voltage of the two- or three-phase AC source or AC machine, the inverter/converter block is the power …
Electrochemical Impedance Spectroscopy A Tutorial
This paper leverages Baidu''s New Energy Vehicle (NEV) live operation data as the foundation for experimentation. Multiple sensors are implemented to monitor the new energy battery, taking measurements of the battery pack''s voltage, current, and temperature, and
The early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for online anomaly detection in battery packs that uses real-time voltage and temperature data from multiple Li-ion battery cells. Mean-based residuals are generated for cell groups and …
FDC1004: Basics of Capacitive Sensing and Applications
These results indicate that the method proposed in this paper can detect abnormal cells accurately, namely #Cell 47 in vehicle #C2 and #Cell 31 in vehicle #C3, …
For battery production, Li et al. [] proposed a new battery management method based on a deep learning model for feature extraction to enhance the reliability …
In this work, the mechanisms of Li-ion batteries capacity degradation are analyzed first, and then the recent processes for capacity estimation in BMSs are reviewed, including the direct measurement …
Impedance spectroscopy is a method for measuring the impedance of a battery. Ultrasonic imaging has the potential to be a cost-effective and easily implemented method for battery detection. Electrochemical impedance spectroscopy is a very accurate and sensitive method for battery detection. Optical imaging has the potential to be a low-cost and …
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 …
Welding defect detection plays an important role in the quality control of new energy batteries. Since the traditional manual detection methods are not intelligent enough and cost a lot, many deep learning algorithms have been proposed. With the development of detection technology, the Yolo series of algorithms have been applied to …
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 …
A fault diagnosis method for electric vehicle power batteries based on a time-frequency diagram is proposed. First, the original voltage signal is decomposed by improved variational mode decomposition to eliminate the …