As the photovoltaic (PV) industry continues to evolve, advancements in Jiang energy storage lithium battery pack have become critical to optimizing the utilization of renewable energy sources. From innovative battery technologies to intelligent energy management systems, these solutions are transforming the way we store and distribute solar-generated electricity.
Most related items These are the items that most often cite the same works as this one and are cited by the same works as this one. Chang, Chun & Wu, Yutong & Jiang, Jiuchun & Jiang, Yan & Tian, Aina & Li, Taiyu & Gao, Yang, 2022.Prognostics of the state of health for lithium-ion battery packs in energy storage applications
Flexible, manageable, and more efficient energy storage solutions have increased the demand for electric vehicles. A powerful battery pack would power the driving motor of electric vehicles. The battery power density, longevity, adaptable electrochemical behavior, and temperature tolerance must be understood. Battery management systems are essential in
Semantic Scholar extracted view of "Lithium–ion battery thermal management using heat pipe and phase change material during discharge–charge cycle: A comprehensive numerical study" by Z. Jiang et al. One of the most recent fields to emerge in this era of a sustainable energy revolution is energy storage in batteries. These days
Lithium-ion batteries are commonly applied to electric vehicles and energy storage technologies owing to their high energy density, low self-discharge rate, no memory effect, long cycle life, and low environmental pollution [1, 2] actual production and application, for the purpose of meeting the requirements of large voltage and high power, lithium-ion
Semantic Scholar extracted view of "A novel state-of-energy simplified estimation method for lithium-ion battery pack based on prediction and representative cells" by Fulai An et al. {Fulai An and Weige Zhang and Bingxiang Sun and Jiuchun Jiang and Xinyuan Fan}, journal={Journal of Energy Storage}, year={2023}, url={https://api
the most important issues is the power lithium-ion battery state-of-charge (SOC) estimation. Compare with the extended Kalman filter algorithm, this paper proposed a novel adaptive
Jiang et al. [50] have proposed the coupling of direct current and alternating current to heat LIBs. Firstly, the LIB pack was placed in a climate box at −20 °C for more than 10 h to simulate the working environment of the battery in winter conditions. Energy storage technologies and real life applications – a state of the art review
Semantic Scholar extracted view of "Battery pack consistency modeling based on generative adversarial networks" by Xinyuan Fan et al. Safety warning of lithium-ion battery energy storage station via venting acoustic signal detection for grid application. Yan Jiang Jiuchun Jiang Caiping Zhang Weige Zhang Yang Gao C. Mi. Engineering. 2019
Modelling of thermal runaway propagation in lithium-ion battery pack using reduced-order model Fachao Jiang c, Xuning Feng a, Languang Lu a, Changyong Jin a, Fangshu Zhang a, Wensheng Huang a c, Mengqi Experimental and modeling analysis of thermal runaway propagation over the large format energy storage battery module with Li 4 Ti
Lithium-ion batteries are important power sources for electric vehicles and energy storage devices in recent decades. Operating temperature, reliability, safety, and life cycle of batteries are
Abstract. Battery thermal management system is critical to prevent the battery pack from such safety issues as overheating, thermal runaway, and spontaneous combustion. Many research works have been done to improve the thermal performance of the thermal management system by reducing the maximum temperature of the battery pack. However, the
The need for lithium-ion batteries has been rising, with the spike in demand for commercial electronics products and electric vehicles. Additionally, electrochemical energy storage systems have caused another sharp increasing demanding for lithium-ion batteries, which are designed with high energy density and long cycle life.
In order to address the inconsistency problem of series-connected lithium-ion battery groups in practice, a two-level balanced topology based on bidirectional Sepic-Zeta circuit is designed in this article. Two-level equalization topology uses bidirectional Sepic-Zeta circuits both within and between groups, which can achieve the equilibrium between any cells in a
Lithium-ion batteries (LIBs) are widely used as power sources for electric vehicles due to their various advantages, including high energy density and low self-discharge rate. However, the safety challenges associated with LIB thermal runaway (TR) still need to be addressed. In the present study, the effects of the battery SOC value and coolant flow rate on
Among rechargeable energy storage devices, lithium-ion battery technology is at the frontier of academic and industrial interest, but the ever-growing demand for higher energy
The prognostics of the state of health (SOH) for lithium-ion battery packs in the long-time scale is critical for the safe and efficient operation of battery packs. In this paper, based on two available energy-based battery pack SOH definition considering both the aging and the consistency deterioration of battery cells, the prognostics algorithm of SOH is developed.
The large-size automotive lithium-ion battery pack (capacity 35 Ah, cut-off voltages 50.4/36 V) is composed of twelve individual batteries, where they are connected in series. As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life
A R T I C L E I N F O Keywords: Battery energy storage system Lithium-ion battery Thermofluidic model Thermal behaviors Temperature monitoring A B S T R A C T The battery energy storage system
In order to enrich the comprehensive estimation methods for the balance of battery clusters and the aging degree of cells for lithium-ion energy storage power station, this paper proposes a state-of-health estimation and prediction method for the energy storage power station of lithium-ion battery based on information entropy of characteristic data. This method
Semantic Scholar extracted view of "A user-friendly lithium battery simulator based on open-source CFD" by Yang Jiang et al. The venting of hot gases due to rupture of a Li-ion cell during thermal runaway may rapidly transfer thermal energy to neighboring cells in a battery pack and cause propagation of thermal runaway.
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 [2], [3]. Thus, lithium-ion batteries are widely used as power source
DOI: 10.1016/j.etran.2023.100255 Corpus ID: 258904350; Fast screening of lithium-ion batteries for second use with pack-level testing and machine learning @article{Yang2023FastSO, title={Fast screening of lithium-ion batteries for second use with pack-level testing and machine learning}, author={Sijia Yang and Caiping Zhang and Jiuchun Jiang and Weige Zhang and
Semantic Scholar extracted view of "Modular balancing strategy for lithium battery pack based on adaptive fuzzy logic control and energy path optimization" by Liping Chen et al. Wang Lujun Ke Jinyang +4 authors Jiang Jiuchun. Engineering. In the operation of battery energy storage systems (BESSs) based on the cascaded H-bridge (CHB)
During the charging process, lithium-ion batteries may experience thermal runaway due to the failure of overcharging protection mechanisms, posing a significant fire hazard. This work by analyzing the evolution of surface temperature, space temperature, and voltage of ternary lithium battery pack under different overcharging rates, a three-level early
Jiang et al. [14] proposed a data-driven TR detection method for a lithium-ion battery (LIB) pack based on state representation methodology. Normalized single-cell voltage was used as a feature to calculate the state of each cell in the battery pack. Recent advances of thermal safety of lithium ion battery for energy storage[J/OL] Energy
Differences in the environment and parameters of lithium-ion battery (LiB) cells may lead the residual capacity between the battery cells to be inconsistent, and the battery cells may be damaged due to overcharging or overdischarging.
A battery pack SOH prediction method based on consistency model is proposed. The prediction error for SOH is within 2.5%. The prognostics of the state of health
A water/1,3-dioxolane (DOL) hybrid electrolyte enables wide electrochemical stability window of 4.7 V (0.3∼5.0 V vs Li + /Li), fast lithium-ion transport and desolvation process at sub-zero
A battery pack (consisting of three 35 [email protected] V LiMn 2 O 4 battery cells) with a wide wire metal film was placed in the battery box. The battery box was placed at
The lithium-ion battery is evolving in the direction of high energy density, high safety, low cost, long life and waste recycling to meet development trends of technology and global economy [1].Among them, high energy density is an important index in the development of lithium-ion batteries [2].However, improvements to energy density are limited by thermal
Accurate estimation of the state-of-energy (SOE) in lithium-ion batteries is critical for optimal energy management and energy optimization in electric vehicles. However, the conventional recursive least squares (RLS) algorithm struggle to track changes in battery model parameters under dynamic conditions. To address this, a multi-timescale estimator is
DOI: 10.1016/j.est.2023.109812 Corpus ID: 265481341; Effects of thermal insulation layer material on thermal runaway of energy storage lithium battery pack @article{Sun2024EffectsOT, title={Effects of thermal insulation layer material on thermal runaway of energy storage lithium battery pack}, author={Xiaomei Sun and Yuanjin Dong and Peng Sun
DOI: 10.1016/j.est.2020.101816 Corpus ID: 224988372; Thermal management technology of power lithium-ion batteries based on the phase transition of materials: A review @article{Jiang2020ThermalMT, title={Thermal management technology of power lithium-ion batteries based on the phase transition of materials: A review}, author={Kun Jiang and
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An accurate estimation of battery SOC is a prerequisite for energy management and control of electric vehicles; it is also the basis for reasonable battery management. To
Abstract Lithium-ion battery packs are made by many batteries, and the difficulty in heat transfer can cause many safety issues. It is important to evaluate thermal performance of a battery pack in designing process. Here, a multiscale method combining a pseudo-two-dimensional model of individual battery and three-dimensional computational fluid dynamics is employed to describe
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