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New energy battery welding sensor failure

Development of an Explainable Fault Diagnosis Framework Based on Sensor Data Imagification: A Case Study of the Robotic Spot-Welding Process . Jiho Lee In-Bai Noh Jihyun Lee Sang Won Lee. Engineering, Computer Science. IEEE Transactions on Industrial Informatics. 2022; TLDR. An explainable fault diagnosis framework that infers the causal …

How does welding instability affect the performance of power batteries?

However, on large-scale automatic production lines, on-site uncertainties such as material inhomogeneity, residual impurities, and parameter fluctuations increase the welding instability and easily lead to welding defects, which will seriously affect the quality and performance of power batteries [ 3, 4 ].

How to diagnose sensor faults in batteries?

Conclusion For the diagnosis of sensor faults in batteries, an amalgamation of the battery equivalent circuit model and a data-driven approach is deployed. In the diagnosis of faults related to battery voltage and current sensors, a model-centric methodology is employed.

What happens if a battery sensor fails?

The battery sensor failure may lead to the failure of monitoring the battery state, thus affecting the effective management of battery safety and performance. Battery sensor failure occurs when a single type of sensor is abnormal and does not affect other sensors, and may also return to normal after a period of time.

How to evaluate power batteries after welding?

At present, most of the post-welding quality evaluation of power batteries is mainly carried out by manual visual inspection, which is bound to cause low detection efficiency and high labor costs, making it difficult to meet the requirements of modern welding production for high efficiency and high quality.

Why is laser welding used in power battery manufacturing?

A power battery is one of the key components of new energy vehicles, and its quality determines the reliability and safety of the vehicle to a large extent. Laser welding is widely used in power battery manufacturing due to its advantages of high energy density, high precision, and precise control over the heat input [ 1, 2 ].

Can welding defects be detected in a BCC?

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, posing challenges for detecting welding defects in the current collector.

Deep learning-based welding image recognition: A …

Development of an Explainable Fault Diagnosis Framework Based on Sensor Data Imagification: A Case Study of the Robotic Spot-Welding Process . Jiho Lee In-Bai Noh Jihyun Lee Sang Won Lee. Engineering, Computer Science. IEEE Transactions on Industrial Informatics. 2022; TLDR. An explainable fault diagnosis framework that infers the causal …

Laser welding defects detection in lithium-ion battery poles

Laser welding is widely used in lithium-ion batteries and manufacturing companies due to its high energy density and capability to join different materials. Welding quality plays a vital role in the durability and effectiveness of welding structures. Therefore, it is essential to monitor welding defects to ensure welds quality. Manual inspection, analysis and evaluation …

Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery

The automatic detection of laser welding quality in power batteries is crucial for ensuring the safety performance of new energy vehicles. This paper proposes a framework that combines deep network and conventional image processing techniques to achieve efficient and accurate detection of laser welding quality.

Laser welding defects detection in lithium-ion battery poles

In this study, we present a novel collection of 3,736 laser welding images which are labeled with eight classes. This dataset contains both normal and defective classes collected from a Dade Laser Chinese production line. Moreover, we introduce a modified loss function that integrates cross entropy and complement objective training.

Inline failure detection in laser beam welding of battery cells ...

This research paper proposes a novel approach for real-time defect detection during laser welding of battery cells by analyzing the acoustic and spectral process emissions. The main objective is to explore the correlations between the acoustic and spectral signatures and the related weld defects, enabling an accurate evaluation of ...

Fault diagnosis of lithium-ion battery sensors based on multi …

The acquisition of sensor data from the battery holds paramount importance for the seamless functioning of new energy vehicles. Therefore, the real-time identification of …

Welding Challenges and Quality Assurance in Electric …

Electric vehicles'' batteries, referred to as Battery Packs (BPs), are composed of interconnected battery cells and modules. The utilisation of different materials, configurations, and welding processes forms a plethora of …

Advancing fault diagnosis in next-generation smart battery with ...

Uncovering subtle battery behavior changes for improved fault detection. Specific focus on multidimensional signals to enhance safety strategies. Future trends in battery fault diagnosis driven by AI and multidimensional data.

Fault diagnosis of lithium-ion battery sensors based on multi …

The acquisition of sensor data from the battery holds paramount importance for the seamless functioning of new energy vehicles. Therefore, the real-time identification of faults in battery sensors becomes imperative to proactively prevent more severe lithium-ion battery failures. A proposed approach for typical fault diagnosis of ...

Ultrasonic Metal Welding in New Energy Vehicles

Applications in New Energy Vehicle Manufacturing. In the field of new energy vehicle (NEV) manufacturing, ultrasonic metal welding machines play a key role in ensuring the integrity and performance of electrical systems. This technology is utilized in a variety of applications during electrical system assembly, including: Busbar Welding

Inline failure detection in laser beam welding of battery …

This research paper proposes a novel approach for real-time defect detection during laser welding of battery cells by analyzing the acoustic and spectral process emissions. The main objective is to explore the …

A Lightweight Deep-Learning Algorithm for Welding Defect …

This article proposes a lightweight deep-learning algorithm called MGNet for detecting welding defects in the current collectors. We introduce a lightweight MDM module …

Welding defects on new energy batteries based on 2D …

Battery surface reconstruction can inspect the quality of the weld instead of relying on human inspection. This paper proposes a defect detection method in the small field of view based on...

Laser welding defects detection in lithium-ion battery poles

In this study, we present a novel collection of 3,736 laser welding images which are labeled with eight classes. This dataset contains both normal and defective classes collected from a Dade Laser Chinese production line. Moreover, we introduce a modified loss function …

Deep Network-Assisted Quality Inspection of Laser Welding on …

The automatic detection of laser welding quality in power batteries is crucial for ensuring the safety performance of new energy vehicles. This paper proposes a framework …

(PDF) Failure assessment in lithium-ion battery packs in electric ...

Failure assessment in lithium-ion battery packs in electric vehicles using the failure modes and effects analysis (FMEA) approach

New Energy Equipment Industry

Lanbao sensors are widely used in PV equipment, such as PV silicon wafer manufacturing equipment, inspection / testing equipment and lithium battery production equipment, such as winding machine, laminating machine, coating machine, series welding machine, etc., to provide lean testing solution for new energy equipment.

Deep Network-Assisted Quality Inspection of Laser …

Reliable quality control of laser welding on power batteries is an important issue due to random interference in the production process. In this paper, a quality inspection framework based on a...

(PDF) Process monitoring of ultrasonic metal …

PDF | Ultrasonic metal welding (USMW) is a common used manufacturing technology for cell, module or pack assembly of Lithium-ion battery systems of... | Find, read and cite all the research you ...

Advancing fault diagnosis in next-generation smart battery with ...

Uncovering subtle battery behavior changes for improved fault detection. Specific focus on multidimensional signals to enhance safety strategies. Future trends in …

Battery Weld Engineering

Battery applications often join metals that can be challenging to weld. Copper, aluminum, and nickel are commonly used in battery construction, and while welding a material to itself is easy, welding dissimilar combinations, such as copper to nickel, can be problematic.. Copper. A wonderful electrical conductor, copper is often at the center of many battery designs, used in …

Welding defects on new energy batteries based on 2D pre …

Welding defects on new energy batteries based on 2D pre-processing and improved-region-growth method in the small field of view . October 2023; Measurement Science and Technology 35(1) DOI:10.1088 ...

Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery

Reliable quality control of laser welding on power batteries is an important issue due to random interference in the production process. In this paper, a quality inspection framework based on a...

Welding defects on new energy batteries based on 2D pre …

Battery surface reconstruction can inspect the quality of the weld instead of relying on human inspection. This paper proposes a defect detection method in the small field of view based on 2D pre-processing and an improved-region-growth method.

CN117218057A

The invention discloses a new energy battery pole welding seam defect detection method, equipment and a storage medium, wherein the method comprises the following steps: step 1, …