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Energy storage welding detection method

Relay contact welding detection method and apparatus

A relay contact welding detection method for use in a circuit including a DC power supply, a load circuit, first and second main relays inserted in a pair of respective power supply lines between the DC power supply and the load circuit, and a pre-charge relay disposed in parallel with the contacts of the first main relay, comprising a step of performing a sequence

Intelligent Metal Welding Defect Detection Model on Improved

In order to solve the problem of accurate and efficient detection of welding defects in the process of batch welding of metal parts, an improved Probabilistic Neural Network (PNN) algorithm was proposed to build an automatic identification model of welding defects. Combined with the characteristics of the PNN model, the structure and algorithm flow of the

A Welding Defect Detection Method for Battery Pole Based on the

Focus on our welding defect detection task for ithium battery''s pole, an improved detection algorithm based on the Yolov5 model is proposed in this paper. Specifically, the SE

In situ detection of welding defects: a review

Weld defect detection is a crucial aspect for improving the productivity and quality of the welding process. Several non-destructive methods exist for the identification of defects post weld deposition. However, they only help assess the quality of the component and offer no inputs while the welding process is being performed. Real-time or in situ weld defect

NDT Method for Line Laser Welding Based on Deep Learning and

Welding testing is particularly important in industrial systems, but there are still some deficiencies in terms of testing performance, anti-noise capability and defect identification in current mainstream welding non-destructive testing technologies. With the development of structured-light non-destructive testing technology, deep learning technology, signal

SEQURE SQ-SW3 Capacitor Energy Storage Spot Welder 18650 /

Quickly replenishes power, and works continuously without interruption, greatly improving the stability of continuous spot welding.(3) All-metal aluminum shell body, fast heat dissipation, super farad energy storage capacitor, large energy, long life,

US9989573B2

a relay welding detection apparatus is an apparatus that detects welding of a relay provided to a charging path extending from an external power supply to a storage battery, the apparatus including: a detection section that detects welding of the relay based on a current flowing through a region of the charging path that extends from the relay toward the external power supply,

An Edge Detection Method for Welding Pool Based on An

An Edge Detection Method for Welding Pool Based on An Improved Canny Algorithm. Lin Zou 1, Yunlong Zheng 1 and Jie Lu 1. Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 2785, 2024 7th International Conference on Mechanical, Electrical and Material Application 23/02/2024 - 25/02/2024 Changsha, China

A novel efficient method for welding spots detection

In this section, the proposed M-YOLOv2-RTCD for welding spots detection is illustrated in detail, which is composed of two aspects including M-YOLOv2 (Section 3.1) and RTCD algorithm (Section 3.2).. 3.1 The proposed light-weight M-YOLOv2 model 3.1.1 The introduction of original YOLOv2. For the purpose of effective discussion, the principle of

Investigation of a fast partial defect detection method for

Upon successful implementation of an energy conversion device based on this new gammavoltaic principle, this inherent power source could then be utilized within SNF storage casks to drive a tamper

Welding seam detection and location: Deep learning network

In order to fully analyze the detection effect of the detection model on the welding seam, this paper takes the average accuracy of the detection results as the evaluation object, and counts the detection accuracy AP 50 and AP 75 with the intersection and union ratio of the detection prediction frame and the actual frame of 0.5 and 0.75

Welding techniques for battery cells and resulting electrical

A novel measuring and calculation method was designed and applied to assess the electrical contact resistance itself. making the joining process crucial. Laser welding is considered a desirable choice for EV battery manufacturing due to its non-contact nature, high energy density, precise control over the heat input, and ease of automation

Welding quality detection of metro train body based on

Download Citation | On May 1, 2023, Deqiang He and others published Welding quality detection of metro train body based on ABC mask R-CNN | Find, read and cite all the research you need on

Quality assurance of battery laser welding: A data-driven approach

Journal of Advanced Joining Processes 2020;1:100017. [6] Brand M J, Schmidt P A, Zaeh M F, Jossen A. Welding techniques for battery cells and resulting electrical contact resistances. Journal of Energy Storage 2015;1:7-14. [7] Solchenbach T, Plapper P, Cai W. Electrical performance of laser braze- welded aluminumâ€"copper interconnects.

Noncontact laser ultrasonic inspection of weld defect in lithium

To address the limitations of the above methods, this study aims to develop and validate a practical inspection method for battery cap welds. A laser ultrasonic inspection technique is proposed to detect invisible weld defects at the weld joint of a cylinder lithium-ion

Design of VHF micro-EDM discharge state detection method

Finally, the energy coupling detection method is used to detect the discharge state of the pulse power supply with a pulse frequency of 30 ~ 300 MHz and output power within 100 W, which fills the gap in the detection of the discharge state of the high frequency and high-power pulse supply. The machining experiment results show that the VHF

Deep Learning-Based Defects Detection in Keyhole TIG Welding

Keyhole tungsten inert gas (keyhole TIG) welding is renowned for its advanced efficiency, necessitating a real-time defect detection method that integrates deep learning and enhanced vision techniques. This study employs a multi-layer deep neural network trained on an extensive welding image dataset. Neural networks can capture complex nonlinear

EP1610355A8

A method for detecting a welding of a relay contact in a circuit having a DC power supply; a load circuit; a first main relay and a second main relay respectively inserted in a pair of power supply lines disposed between the DC power supply and the load circuit; and a precharge relay which is provided in parallel to the contact of the first main relay has the step of carrying out a sequence

Cyberattack detection methods for battery energy storage systems

T1 - Cyberattack detection methods for battery energy storage systems. AU - Kharlamova, Nina. AU - Træhold, Chresten. AU - Hashemi, Seyedmostafa. PY - 2023. Y1 - 2023. N2 - Battery energy storage systems (BESSs) play a key role in the renewable energy transition. Meanwhile, BESSs along with other electric grid components are leveraging the

A Survey of Photovoltaic Panel Overlay and Fault Detection Methods

Photovoltaic (PV) panels are prone to experiencing various overlays and faults that can affect their performance and efficiency. The detection of photovoltaic panel overlays and faults is crucial for enhancing the performance and durability of photovoltaic power generation systems. It can minimize energy losses, increase system reliability and lifetime, and lower

A Vision Based Detection Method for Narrow Butt Joints and a

Automatic joint detection is of vital importance for the teaching of robots before welding and the seam tracking during welding. For narrow butt joints, the traditional structured light method may be ineffective, and many existing detection methods designed for narrow butt joints can only detect their 2D position. However, for butt joints with narrow gaps and 3D

US20140016238A1

The relay-welding detection circuit detects welding of relays (RYP, RYN) provided on a charging path from an external power supply (PW) to a first battery ( 14 ), and is provided with: a second battery ( 15 ) that can supply a welding-detection power supply independently of the external power supply (PW); a transistor switch ( 17 ) that is a circuit in which there is substantially zero

AETMC-FCVT: An end-to-end welding defect detection and

With the development of sensor technology and machine learning, data-driven inspection of welded joints has received widespread attention, especially real-time monitoring and diagnosis of weld quality based on process signals [2], [3].Real-time monitoring mainly includes non-destructive methods such as electrical [4], mechanical [5], [6], thermal [7], [8] acoustic [9], [10],

Relay-welding detection circuit and power supplying system

Provided is a relay-welding detection circuit that is configured to be high-impedance. The relay-welding detection circuit detects welding of relays (RYP, RYN) provided on a charging path from an external power supply (PW) to a first battery (14), and is provided with: a second battery (15) that can supply a welding-detection power supply independently of the external power supply

Improving Battery Safety by Advanced BMS Diagnostics and

Chair for Electrochemical Energy Conversion and Storage Systems Battery Packs – A Short Introduction Battery packs are sophisticated systems Consist of various mandatory components: Cells & cell modules Cell- & module interconnectors BMS electronic modules (V, I, T, etc.) Contactors (electromechanical or solid state)

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 features,

WeldNet: a lightweight deep learning model for welding defect

Weld defect detection is an important task in the welding process. Although there are many excellent weld defect detection models, there is still much room for improvement in stability and accuracy. In this study, a lightweight deep learning model called WeldNet is proposed to improve the existing weld defect recognition network for its poor generalization

A critical review on inconsistency mechanism, evaluation methods

Energy crises and environmental pollution have become common problems faced by all countries in the world [1].The development and utilization of electric vehicles (EVs) and battery energy storages (BESs) technology are powerful measures to cope with these issues [2].As a key component of EV and BES, the battery pack plays an important role in energy

Method for evaluating laser welding quality of battery module

Since the existing commonly used welding quality detection techniques cannot effectively detect pseudo welding (PW) defects in the laser welding of a battery module, in this study, we first study a one-dimensional heat transfer model of the PW defects of welding spot.Then, we establish an electro-thermal coupling model of a lithium-ion battery (LIB) module.

Relay contact welding detection method and apparatus

Cold Plate & Welding: Thermal Management

Energy Storage Battery Packs: The panels are vital. They keep batteries at the best temperature. Selecting Appropriate Welding Method: Choose the best welding method based on the application''s needs and the materials. Eddy current detection: using the principle of eddy current induction to carry out the detection.

Energy storage welding detection method [PDF]

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