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Journal articles on the topic 'Batteries 18650 usagées'

Author: Grafiati

Published: 7 December 2024

Last updated: 31 July 2025

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1

Phi Cuong Anh, NGUYEN, LE Duc Hieu, and LUONG Ngoc Minh. "STUDY ON THE EFFECT OF TEMPERATURE ON THE OPERATION OF THE PANASONIC NCR-18650B ELECTRIC VEHICLE BATTERY." Vinh University Journal of Science 53, no. 1A (2023): 26–35. http://dx.doi.org/10.56824/vujs.2023a134.

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This paper focuses on studying the influence of temperature on the working process of Panasonic NCR-18650B electric vehicle battery. Through the Matlab - Simulink simulation tool, the effects related to the charging/discharging process of electric vehicle batteries such as voltage, current and state of charge (SOC) have been considered at different temperature of 0, 25, 50 degrees Celsius. Research results contribute to optimizing battery usage, thereby minimizing the impact of batteries on the environment, contributing to the development of the current electric car industry.

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2

Onyenagubo, Chisom, Yasser Ismail, Radian Belu, and Fred Lacy. "Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application." Algorithms 18, no. 6 (2025): 303. https://doi.org/10.3390/a18060303.

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Especially NMC-LCO 18650 cells, lithium-ion batteries are essential parts of electric vehicles (EVs), where their dependability and performance directly affect operating efficiency and safety. Predictive maintenance, cost control, and increasing user confidence in electric vehicle technology depend on accurate Remaining Useful Life (RUL) forecasting of these batteries. Using advanced machine learning models, this research uses past usage data and essential performance characteristics to forecast the RUL of NMC-LCO 18650 batteries. The work creates a scalable and web-based application for RUL p

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3

Soeprapto, Nur Hasanah Rini, and Taufik. "Battery management system on electric bike using lithium-ion 18650." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1529–37. https://doi.org/10.11591/ijpeds.v10.i3.pp1529-1537.

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Electric bike (E-Bike) is a bicycle driven using an electric motor and uses batteries as the energy source. It is environmentally friendly as no exhaust gas is resulted during its operation. More than one battery is normally required, being arranged in series or in parallel connection. Over limit or overloaded conditions of battery usage will reduce the lifecycle of battery, speed up its replacement and add to the maintenance cost of electric bike. This paper proposes the prevention of such degrading condition using a tool to manage the battery usage both during the charging and discharging pr

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4

Salas-Cardona, Jesús A., José A. Posada-Montoya, Sergio D. Saldarriaga-Zuluaga, Nicolas Muñoz-Galeano, and Jesús M. López-Lezama. "A Novel Method for Obtaining the Electrical Model of Lithium Batteries in a Fully Electric Ultralight Aircraft." World Electric Vehicle Journal 15, no. 11 (2024): 482. http://dx.doi.org/10.3390/wevj15110482.

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This article introduces a novel approach for developing an electrical model of the lithium batteries used in an electric ultralight aircraft. Currently, no method exists in the technical literature for accurately modeling the electrical characteristics of batteries in an electric aircraft, making this study a valuable contribution to the field. The proposed method was validated with an all-electric ultralight aircraft designed and constructed at the Pascual Bravo University Institution. To build the detailed model, a kinematic analysis was first conducted through takeoff tests, where data on t

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5

Soeprapto, Soeprapto, Rini Nur Hasanah, and Taufik Taufik. "Battery management system on electric bike using Lithium-Ion 18650." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1529. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1529-1537.

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<span>Electric bike (E-Bike) is a bicycle driven using an electric motor and uses batteries as the energy source. It is environmentally friendly as no exhaust gas is resulted during its operation. More than one battery is normally required, being arranged in series or in parallel connection. Over limit or overloaded conditions of battery usage will reduce the lifecycle of battery, speed up its replacement and add to the maintenance cost of electric bike. This paper proposes the prevention of such degrading condition using a tool to manage the battery usage both during the charging and di

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6

Magne-Tang, Nicolas, Céline Decaux, Pierre-Xavier Thivel, and Christine Lefrou. "Exploring the Discharge Performance of Li-ion Batteries Using Ohmic Drop Compensation." Batteries 9, no. 9 (2023): 451. http://dx.doi.org/10.3390/batteries9090451.

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In this study, we investigate the use of the ohmic drop compensation method during battery discharges at different rates. Four different types of NMC Li-ion batteries are compared and three 18,650 cells of each type are tested to evaluate the performance dispersion. The cell type that shows significant performance improvement thanks to ohmic drop compensation in this first experimental part is then selected to complete the exploration. A drone-type usage profile is set up and demonstrates without any doubt the interest of using this type of protocol in such usage. Finally, a preliminary aging

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7

Ohrelius, Mathilda, Rakel Lindstrom, and Göran Lindbergh. "Aging Aware Battery Operation and State of Health Evaluation in Energy Storage Systems." ECS Meeting Abstracts MA2023-02, no. 2 (2023): 166. http://dx.doi.org/10.1149/ma2023-022166mtgabs.

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The sources of performance loss in lithium-ion batteries are many and can vary widely dependent on battery usage [1]. Understanding these mechanisms and coupling usage patterns to dominating degradation phenomena can allow smarter use and longer lifetime of the batteries. This can especially bring value in stationary applications, as the usage patterns have different characteristics and second life applications for batteries are considered as well [2]. Driven by the development of battery electric vehicles, batteries with higher power and energy densities have revolutionized the market. The li

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8

Zhang, Zhizu, Changwei Ji, Yangyi Liu, Yanan Wang, Bing Wang, and Dianqing Liu. "Effect of Aging Path on Degradation Characteristics of Lithium-Ion Batteries in Low-Temperature Environments." Batteries 10, no. 3 (2024): 107. http://dx.doi.org/10.3390/batteries10030107.

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Typical usage scenarios for energy storage and electric vehicles (EVs) require lithium-ion batteries (LIBs) to operate under extreme conditions, including varying temperatures, high charge/discharge rates, and various depths of charge and discharge, while also fulfilling vehicle-to-grid (V2G) interaction requirements. This study empirically investigates the impact of ambient temperature, charge/discharge rate, and charge/discharge cut-off voltage on the capacity degradation rate and internal resistance growth of 18,650 commercial LIBs. The charge/discharge rate was found to have the most signi

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9

Li, Chao, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, and Yulong Wang. "Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction." Energies 17, no. 19 (2024): 5001. http://dx.doi.org/10.3390/en17195001.

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Accurate monitoring of lithium-ion battery temperature is essential to ensure these batteries’ efficient and safe operation. This paper proposes a relevance-based reconstruction-oriented EMD-Informer machine learning model, which combines empirical mode decomposition (EMD) and the Informer framework to estimate the surface temperature of 18,650 lithium-ion batteries during charging and discharging processes under complex operating conditions. Initially, based on 9000 data points from the U.S. NASA Prognostics Center of Excellence’s random battery-usage dataset, where each data point includes t

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10

Steger, Fabian, Jonathan Krogh, Lasantha Meegahapola, and Hans-Georg Schweiger. "Calculating Available Charge and Energy of Lithium-Ion Cells Based on OCV and Internal Resistance." Energies 15, no. 21 (2022): 7902. http://dx.doi.org/10.3390/en15217902.

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The design and operation of performant and safe electric vehicles depend on precise knowledge of the behavior of their electrochemical energy storage systems. The performance of the battery management systems often relies on the discrete-time battery models, which can correctly emulate the battery characteristics. Among the available methods, electric circuit-based equations have shown to be especially useful in describing the electrical characteristics of batteries. To overcome the existing drawbacks, such as discrete-time simulations for parameter estimation and the usage of look-up tables,

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11

Xu, Qian, Xueyuan Wang, Wenjun Fan, Xuezhe Wei, and Haifeng Dai. "Design and Implementation of a Non-Destructive AC Heating System for Lithium-Ion Battery Modules." Batteries 10, no. 9 (2024): 300. http://dx.doi.org/10.3390/batteries10090300.

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The electrification of transportation is experiencing rapid development. Electric bicycles (e-bikes) are commonly employed as convenient modes of transportation. Thanks to the advantages of long life and high energy density, lithium-ion batteries (LIBs) are widely used in e-bikes. In certain business models, e-bikes can utilize rental LIBs, which are centrally managed at charging stations. The low-temperature charging and discharging performance of the LIB system poses a significant challenge during usage. Among various heating methods, alternating current (AC) heating has garnered attention d

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12

Streb, Moritz, Mathilda Ohrelius, Matilda Klett, and Göran Lindbergh. "Online Aging Diagnostics Using Optimally Designed Experiments." ECS Meeting Abstracts MA2022-02, no. 3 (2022): 353. http://dx.doi.org/10.1149/ma2022-023353mtgabs.

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Degradation of lithium-ion batteries is the result of many complex phenomena occurring simultaneously at varying time and length scales. The underlying electrochemical and mechanical phenomena have received much attention from researchers [1]. Physics-based models of these effects support the mechanistic understanding of degradation modes and can thereby help reduce their severity. Few studies target changing electrochemical parameters such as diffusion coefficients or reaction rate constants that have a direct impact on model accuracy and manifest themselves in observable aging. Lyu et al. [2

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13

Venkatakrishnan, Sankaranarayanan, and Ramaraja Ramasamy. "Effect of Fast-Charging and Cycling Window on Lithium-Ion Battery Performance and Aging." ECS Meeting Abstracts MA2024-02, no. 2 (2024): 244. https://doi.org/10.1149/ma2024-022244mtgabs.

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Aggressive charging practices and extreme usage patterns of electric vehicle batteries pose safety risks, including fire hazards. Beyond fast charging, battery health is influenced by dynamic factors like temperature, state-of-charge (SoC) window of operation, and driving conditions relative to charging events1,2. Given that electric vehicles (EVs) rarely operate in their full SoC range (0–100%)3, understanding battery cell degradation across different SoC swing ranges and fast-charging effects becomes critical. This understanding not only optimizes battery usage and extends cell lifespan but

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14

Upadhya, Sahana, Reed M. Wittman, Chaz Rich, et al. "Post 80% Cycling of Li-Ion Cells, an Update on a Seven Year Cycling Study of Diverse Lithium-Ion Battery Chemistries." ECS Meeting Abstracts MA2024-02, no. 3 (2024): 378. https://doi.org/10.1149/ma2024-023378mtgabs.

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Li-ion batteries are increasingly being used in various sectors, including consumer electronics, electric vehicles (EVs), and grid energy storage, as critical components in modern infrastructure. Convention for the EV market dictated that 80% of the initial capacity of the battery represented the end of life and is therefore commonly marked as the end point of battery aging studies. To exploit the potential applications of a given cell, an understanding of degradation trends beyond 80% capacity is needed and requires the collection of data at various standard use conditions. This work details

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15

John, Kimsfer Gozano, Lorenzo Ryuto, Anthony Sobrevega Lorenz, John Taberdo Zamhuel, and John Christopher Yacap Engr. "DESIGN OF A SOLAR-BASED PORTABLE POWER SUPPLY WITH MODULAR BATTERY SYSTEM FOR THE DUMAGAT TRIBE IN NORZAGARAY, BULACAN." International Journal of Electrical and Electronics Research 11, no. 3 (2023): 8–17. https://doi.org/10.5281/zenodo.8159802.

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<strong>Abstract:</strong> This paper aims to develop a portable power supply with a modular battery pack that is charged through a solar panel and controller that can provide the Dumagat Tribe in Norzagaray, Bulacan access to basic electric needs. Their needs were calculated using schedule of loads and the system was designed in accordance to PEC Article 6.09 (Solar PV Systems). Data was assessed by monitoring voltage levels using Arduino and statistical treatment was used to determine any significant differences in charging and discharging rates. The system is equipped with the following maj

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16

Chung, Jaesik, Gunho Kwak, Kwang Jung, and Giovanni Flores. "(Digital Presentation) Develop Cell Internal Resistance Measurement Tool As a Lib Cell Characterization Technology." ECS Meeting Abstracts MA2022-01, no. 2 (2022): 440. http://dx.doi.org/10.1149/ma2022-012440mtgabs.

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As LiB cell is not a pure ohmic device but a complex electrochemical device with capacitive and inductive behaviors, its characteristic and performance will vary depending on the input signals, frequencies, and usage conditions. And as LiB cell is a non-linear system, its internal resistance (IR) depends significantly on variables, like aging (state of Health: SOH), state of charge (SOC), temperature, applying current rate and period. The IR is an intrinsic property of a cell representing its characteristic, performance, and health status at the measuring point. Therefore, its precise measurem

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17

Bai, Xuanyao, Donghong Peng, Yanxia Chen, et al. "Three-dimensional electrochemical-magnetic-thermal coupling model for lithium-ion batteries and its application in battery health monitoring and fault diagnosis." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-61526-0.

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AbstractStorage batteries with elevated energy density, superior safety and economic costs continues to escalate. Batteries can pose safety hazards due to internal short circuits, open circuits and other malfunctions during usage, hence real-time surveillance and error diagnosis of the battery’s operational state is imperative. In this paper, a three-dimensional model of electrochemical-magnetic field-thermal coupling is formulated with lithium-ion pouch cells as the research focus, and the spatial distribution pattern of the physical field such as magnetic field and temperature when the batte

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18

Eltoumi, F., A. Badji, M. Becherif, and H. S. Ramadan. "Experimental Identification using Equivalent Circuit Model for Lithium-Ion Battery." International Journal of Emerging Electric Power Systems 19, no. 3 (2018). http://dx.doi.org/10.1515/ijeeps-2017-0210.

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Abstract The modelling of Lithium-ion batteries is considered as a powerful tool for the introduction and testing of this technology in energy storage applications. In fact, new application domains for the battery technology have recently placed greater emphasis on their energy management, monitoring, and control strategies. Battery models have become an essential tool for the design of battery-powered systems; their usage includes battery state-of-charge (SoC), state-of-health (SoH) estimations, and battery management system design and battery characterization. This paper presents a method on

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