Technological trajectory analysis in lithium battery
Sep 15, 2024 · We propose the significance of patent claims in the technological trajectory of lithium battery manufacturing (LBM-Tra) research. And we construct a more robust attention
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Intelligent Lithium Battery Pack
Direct recycling of Li-ion batteries from cell to
Direct recycling is a novel approach to overcoming the drawbacks of conventional lithium-ion battery (LIB) recycling processes and has gained considerable
LEAD Intelligent and CATL Forge Strategic Partnership to
Dec 4, 2024 · As a leading company in lithium battery equipment, LEAD Intelligent Equipment plays a key role in CATL''s production of all-solid-state batteries. Founded in 1999, LEAD''s
Intelligent equalization control for lithium-ion battery packs
The inherent inconsistency in series-connected lithium-ion battery (LIB) pack for electric vehicles often leads to uneven capacity or voltage deviation among various LIBs, and it is necessary to
Lithium-ion battery pack equalization: A multi-objective
Mar 10, 2025 · To address the challenges of the current lithium-ion battery pack active balancing systems, such as limited scalability, high cost, and ineffective balancing under complex
Integrated Strategy for Optimized Charging and Balancing of Lithium
Oct 4, 2024 · Hence, this article proposes an optimized fast charging and balancing strategy with electrothermal regulation of LIB packs. Therefore, the power dissipation constraints of passive
Intelligent dual-anode strategy for high
Nov 15, 2024 · The primary challenge for the next generation of high-energy-density lithium-ion batteries is maintaining capacity stability during long-term
Lead Intelligent Equipment
Lead Intelligent Equipment Co., Ltd. (LEAD), headquartered in Wuxi, China, is a global leader in new energy manufacturing equipment. Specializing in lithium
KULR Technology Group | Thermal Management
1 day ago · With a rich 40-year heritage in advanced thermal management technologies, KULR creates safe, high-performance batteries for space,
Battery digital twins: Perspectives on the fusion of models,
Aug 1, 2020 · Furthermore, the sensitivity of these variables to the battery lifetime, is dependant on the design of the cell and pack, with key considerations such as: chemistry, electrode
High-Packing-Density Electrodes by Self
Jul 21, 2023 · This material design strategy for composite electrodes with self-formed ionic conduction pathways is useful for designing high packing density
Research and development of artificial intelligence in layered
This will significantly shorten the research and development cycle of lithium battery layered cathode materials and promote the rapid iteration and industrial application of high
An intelligent fault diagnosis method for lithium-ion battery pack
Nov 15, 2023 · An Intelligent Fault Diagnosis Method for Lithium-ion Battery Pack Based on empirical mode decomposition and Convolutional Neural Network is proposed.
Artificial Intelligence-Driven Strategies for Advancing Lithium
Oct 10, 2024 · Artificial intelligence (AI) is revolutionizing the development and optimization of lithium-ion batteries (LIBs), which are critical in modern technologies like energy storage
Development and application of a LFP pouch cell module
The cell module is the key component of an electric vehicle battery system, providing the energy output for the vehicle. In this study, we describe a lithium iron phosphate (LFP) pouch cell
Optimizing lithium-ion battery electrode manufacturing:
Aug 1, 2024 · To comply with the development trend of high-quality battery manufacturing and digital intelligent upgrading industry, the existing research status of process simulation for
An intelligent fault diagnosis method for lithium-ion battery pack
Nov 1, 2023 · The cell faults of lithium-ion batteries will lead to the atypical deterioration of battery performance and even thermal runaway. In this paper, a novel fault diagnosis method for
A novel framework for low-temperature fast charging of lithium
Oct 1, 2024 · During charging, lithium plating is mitigated by maintaining negative potential above 0 V. To obtain calculated negative electrode potential, a three-electrode battery is employed to
Machine Learning-Assisted Simulations and
Feb 28, 2025 · This review summarizes machine learning (ML)-assisted simulations and predictions at battery interfaces. It highlights how employing
Artificial intelligence for the understanding of
Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in lithium battery | National Science Open (NSO)
Design of Lithium Battery Intelligent Management System
Sep 22, 2024 · Lithium batteries have the advantages of safe and reliable power supply, low maintenance costs, small footprint, often used as the preferred solution for power supply in
Advanced health state intelligent diagnosis of
Feb 12, 2025 · Advanced health state intelligent diagnosis of lithium-ion batteries based on CNN-WNN-WBiLSTM model with attention mechanism
Fully printable integrated multifunctional sensor arrays for
Aug 9, 2025 · Here, we enable lithium-ion batteries with intelligence by integrating a conformal array of multifunctional sensors into the packing foil.
State-of-the-Art Machine Learning Technology
Jun 16, 2025 · Technology for lithium-ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The
Structured Electrodes for Lithium-Ion Batteries
Mar 25, 2025 · This review explores structured electrode designs for lithium-ion batteries, aiming to enhance energy and power density through optimized
Design of Cylindrical Thermal Dummy Cell for
Mar 2, 2021 · This paper aims to design thermal dummy cells (TDCs) that can be used in the development of lithium-ion battery thermal management systems.
Transforming Battery Manufacturing:
Jan 7, 2025 · The global battery manufacturing industry is in the midst of an evolution driven by advanced automation, AI and the rapid rise in EV and
Defects in lithium-ion batteries: From origins to safety risks
Jun 1, 2025 · This paper addresses the safety risks posed by manufacturing defects in lithium-ion batteries, analyzes their classification and associated hazards, and reviews the research on
Smart batteries for powering the future
Feb 1, 2024 · This review presents a comprehensive explanation for the definition of smart batteries. Based on the various functional characteristics and intelligence levels, smart
Artificial intelligence for the understanding of electrolyte
Overview of AI application to lithium battery chemistry focused in this review, including electrolyte design, electrode interfacial simulations, Li dendrite growth, and battery lifetime prediction. ML
Electrode to Pack
Nov 3, 2023 · We have seen Cell to Pack and Cell to Body pack designs, now we are seeing talk of Electrode to Pack. The first to talk about this perhaps are
Intelligent Prediction of Electrode Characteristics Based on
Mar 26, 2025 · In this study, we propose an artificial intelligence-based prediction method for estimating the key characteristics of electrodes. Specifically, it utilizes active material mass
Empowering lithium-ion battery manufacturing with big
Dec 15, 2024 · However, the complexity of the lithium-ion battery manufacturing process, coupled with numerous process parameters, poses challenges for quality management and control. In
Lithium-ion battery multi-scale modeling coupled with
Sep 12, 2023 · SUMMARY The multi-scale modeling of lithium-ion battery (LIB) is difficult and necessary due to its complexity. How-ever, it is difficult to capture the aging behavior of
Intelligent state of health estimation for lithium-ion battery pack
Dec 1, 2020 · With the advantages of high energy density and low self-discharge rate, lithium-ion power battery pack can achieve longer endurance time and driving mileage , . Thus,
Multi-level intelligence empowering lithium-ion batteries
Oct 1, 2024 · The intelligent response of battery materials forms the foundation for battery stability, the intelligent sensing of multi-dimensional signals is essential for battery management, and
Intelligent Cell Balancing Control for Lithium-Ion Battery Packs
May 20, 2024 · This study introduces a balancing control strategy that employs an Artificial Neural Network (ANN) to ensure State of Charge (SOC) balance across lithium-ion (L
Intelligent optimization methodology of battery
Jul 14, 2020 · This research article proposes a synthetic methodology for an advanced design of battery pack and its components by incorporating optimal
Intelligent disassembly of electric-vehicle batteries: a forward
Jul 1, 2022 · Abstract Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental hazards. Efficient recovery of these spent batteries is a significant way to
6 Frequently Asked Questions about “Intelligent lithium battery pack electrode TDC”
How to improve the energy density of lithium-ion batteries?
A lot of research in recent years has been done on cell design and electrode structuring concerning the improvement of battery life, energy, and power density. Increasing the areal capacity of electrodes is the major approach to enhance the energy density of lithium-ion batteries (LIBs).
Can a graded electrode be used in Li-ion batteries?
Graded design can be applied to both cathodes and anodes in Li-ion batteries. While the focus of our work is the classification of multilayer designs with respect to electrode structures in general, we would like to refer to a review for graded electrodes which goes more into depth and also into solid-state batteries.
Can lithium-ion batteries have intelligence?
Current battery risk control often lacks indicators and timeliness for the accidents due to complexity in convoluted and distinct electrochemical behaviors of diverse cell chemistries. Here, we enable lithium-ion batteries with intelligence by integrating a conformal array of multifunctional sensors into the packing foil.
Can artificial intelligence improve electrolyte chemistry and electrode interphase formation in lithium batteries?
Artificial intelligence (AI) or machine learning (ML) models offer new opportunities for the understanding of complex electrolyte chemistry and electrode interphase formation in lithium batteries [37, 38].
What is the Material Design Strategy for composite electrodes with self-formed ionic conduction pathways?
This material design strategy for composite electrodes with self-formed ionic conduction pathways is useful for designing high packing density electrodes for all-solid-state batteries, because the capacity per composite electrode is larger than that of conventional composite electrodes consisting of solid electrolyte and electrode active material.
Is artificial neural network a balancing control strategy for lithium-ion battery packs?
Abstract: This study introduces a balancing control strategy that employs an Artificial Neural Network (ANN) to ensure State of Charge (SOC) balance across lithium-ion (Li-ion) battery packs, consistent with the framework of smart battery packs.