Sensing as the key to the safety and sustainability of new energy ...
Since the components of most new energy storage devices generally have a multi-layer structure, thermal ... Y., Yoo, K., Ko, T.J. & Choi, J. (2019). Carbon nanotube-based strain sensor for excessive swelling detection of lithium-ion battery. in 2019 20th International conference on solid-state sensors, actuators and microsystems ...
A Lightweight Deep-Learning Algorithm for Welding Defect …
The future direction of global automotive development is electrification, and the battery current collector (BCC) is an essential component of new energy vehicle …
Parts of An Electric Car Explained (with Diagrams)
The core components of an electric car are the electric motor, power electronics controller, and battery pack. Secondary components of an electric vehicle (EV) Include the regenerative braking system, the thermal management system, the DC/DC converter, charging ports, and the battery management system.
China''s Development on New Energy Vehicle Battery Industry: Based on Market and Bibliometrics …
NEV''s battery as the core components play an essential role in the cruising range and manufacturing cost in terms of energy, specific power, new materials, and battery safety. In order to know the development of NEV''s batteries, as well as research hotspots and technology trends, this paper analyses the market performance …
Semantic segmentation supervised deep-learning algorithm for …
As the main component of the new energy battery, the safety vent usually is welded on the battery plate, which can prevent unpredictable explosion accidents caused by the increasing internal pressure of the battery. The welding quality of safety vent directly affects the safety and stability of the battery; so, the welding-defect detection is …
DGNet: An Adaptive Lightweight Defect Detection Model for New …
In order to reduce application costs, and conduct real-time detection with limited computing resources, we propose an end-to-end adaptive and lightweight defect …
SGCNet: A lightweight defect detection model for new energy …
In practical industrial applications, real-time detection of battery collector tray defects with limited computational resources is a challenging task. In order to reduce the model size …
The Early Detection of Faults for Lithium-Ion Batteries in Energy ...
In recent years, battery fires have become more common owing to the increased use of lithium-ion batteries. Therefore, monitoring technology is required to detect battery anomalies because battery fires cause significant damage to systems. We used Mahalanobis distance (MD) and independent component analysis (ICA) to detect early …
Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries
Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries semanticscholar 0 ： 77 ： Yang Yatao,He Yuqing,Guo Haolin,Chen Ziliang,Zhang Li ： ...
China-Based Green New Energy Materials Plans Denver, North …
The United States has always been a key component of GNEM''s strategic plan of establishing clean energy supply chains worldwide. Today, we are bringing technologies refined for decades to the center of clean energy transformation, to the Old North State (North Carolina)," said Jay Zhu, General Manager for Green New Energy …
Intelligent disassembly of electric-vehicle batteries: a forward …
1. Introduction Electric vehicle (EV) battery recovery is critical to circular economy and sustainability. Today, the global EV fleet keeps growing and so are their Li-ion batteries (LIBs). According to the International Energy …
Application of Line Scan Lens in New Energy Battery Detection
Batteries are a key component of new energy vehicles, and their manufacturing level can directly affect vehicle performance.Therefore, although the battery manufacturing process is very complex, every process including coating, lamination, welding and packaging must undergo strict testing.
SGNet:A Lightweight Defect Detection Model for New Energy …
With a swift detection time of 0.073 seconds per image, the model meets the stringent requirements for accuracy and real-time performance in identifying battery collector tray …
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 …
A Welding Defect Detection Method for Battery Pole Based on …
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 …
Energies | Free Full-Text | Research on the Critical …
With the rapid development of new energy vehicles (NEVs) industry in China, the reusing of retired power batteries is becoming increasingly urgent. In this paper, the critical issues for power …
New developments in battery safety for large-scale systems
Battery safety is a multidisciplinary field that involves addressing challenges at the individual component level, cell level, as well as the system level. These concerns are magnified when addressing large, high-energy battery systems for grid-scale, electric vehicle, and aviation applications. This article seeks to introduce common …
Powering Up Battery Manufacturing with High-Speed Defect Detection
For the battery manufacturers powering the exponential growth of sectors such as electric vehicles and battery energy storage systems, testing various components for flaws before shipping is crucial to prevent potentially serious safety and performance issues. The need is only expected to increase, as production volumes ramp up.
China''s Development on New Energy Vehicle Battery Industry: Based …
NEV''s battery as the core components play an essential role in the cruising range and manufacturing cost in terms of energy, specific power, new materials, and battery safety.
A comprehensive review of DC arc faults and their mechanisms, detection ...
To ensure the safe operation of batteries and other system components, battery systems must have fast, effective, and reliable protection measures. ... the analysis of many new energy vehicle accidents revealed that arc faults can cause vehicle fires. ... Arc fault detection in DC battery systems is more difficult than in AC systems, ...
Diagnosis of a battery energy storage system based on principal ...
DOI: 10.1016/J.RENENE.2019.08.064 Corpus ID: 202101211; Diagnosis of a battery energy storage system based on principal component analysis @article{Banguero2020DiagnosisOA, title={Diagnosis of a battery energy storage system based on principal component analysis}, author={Edison Banguero and Antonio …
Gas Sensing Technology for the Detection and Early Warning of Battery ...
With the increasing popularity of battery technology, the safety problems caused by the thermal runaway of batteries have been paid more attention. Detecting the gases released from battery thermal runaway by gas sensors is one of the effective strategies to realize the early safety warning of batteries. The inducing factors of battery …
Detection, location, and diagnosis of different faults in large solar …
The different variables presented in the above equation are: K is the solar radiance, I output is the output current in Amperes, I solar represents photo generated current in Amperes, I rb denotes the reverse bias saturation current in Amperes, I diode refers to the diode current in Amperes, V open represents the terminal/output voltage in …
Next-gen battery tech: Reimagining every aspect of batteries
reader comments 89 The race is on to generate new technologies to ready the battery industry for the transition toward a future with more renewable energy. In this competitive landscape, it''s ...
Energies | Free Full-Text | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery …
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate …
Early detection of Internal Short Circuits in series-connected battery ...
With the development of new energy technologies, electric vehicles are becoming more and more widely available. However, faults within the battery pack such as thermal runaway and internal short circuit are still a serious problem for electric vehicles, which is a challenge for the existing fault diagnosis methods.
Semantic segmentation supervised deep-learning algorithm for …
A two-branch semantic segmentation model including Spatial Branch (SB) and Context Branch (CB) is constructed for welding defect detection of new energy …
A Lightweight Deep-Learning Algorithm for Welding Defect Detection …
The future direction of global automotive development is electrification, and the battery current collector (BCC) is an essential component of new energy vehicle batteries. However, the welding defects in the BCC during the welding process are characterized by a disorganized distribution, extensive size variations, multiple types, and ambiguous …
A Review on the Recent Advances in Battery Development and Energy Storage Technologies
In general, energy density is a key component in battery development, and scientists are constantly developing new methods and technologies to make existing batteries more energy proficient and safe. This will make it possible to design energy storage devices that are more powerful and lighter for a range of applications.
Anomaly Detection for Charging Voltage Profiles in Battery Cells …
Lithium-ion batteries, with their high energy density, long cycle life, and non-polluting advantages, are widely used in energy storage stations. Connecting lithium batteries in series to form a battery pack can achieve the required capacity and voltage. However, as the batteries are used for extended periods, some individual cells in the …
