Numerical Study of Composite Electrode's Particle Size Effect on the Electrochemical and Heat Generation of a Li-Ion Battery

2015 ◽  
Vol 6 (4) ◽  
Author(s):  
A. H. N. Shirazi ◽  
M. R. Azadi Kakavand ◽  
T. Rabczuk
Keyword(s):  
Heat Generation ◽  
Numerical Study ◽  
Lithium Ion ◽  
High Energy ◽  
Solid Particles ◽  
High Energy Density ◽  
Design Parameters ◽  
Operating Voltage ◽  
Battery Cell ◽  
Battery Capacity

Rechargeable lithium-ion batteries (LIBs) are now playing crucial roles in power supply and energy storage systems. Among all types of rechargeable batteries available nowadays, LIBs are one of the most important ways to store energy because of their high energy density, high operating voltage, and low rate of self-discharge. Nonetheless, the performance of LIBs could be improved by different design parameters, such as the size of solid particles in the battery composite electrodes. Therefore, this study aims to investigate the effect of the composite electrode particles size on the electrochemical and heat generation of an LIB. A Newman's electrochemical pseudo two-dimenisonal model was used to model the LIB cell. Reversible heat produced through electrochemical reactions was calculated as well as irreversible heat originating from internal resistances in the battery cell. Our results show that smaller sizes of electrode solid particles improve the thermal characteristics of the battery, especially in higher charge and discharge currents (C-rate). Furthermore, as the solid particle sizes decrease, the battery capacity increases for various C-rates in charge and discharge cycles.

Thermal Simulation Analysis of a Lithium-Ion Battery

2021 ◽  
Vol 4 (1) ◽  
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Heat Generation ◽  
Lithium Ion ◽  
High Energy ◽  
Thermal Runaway ◽  
Transport Processes ◽  
High Energy Density ◽  
Battery Cell ◽  
Discharge Rates

Lithium – Ion batteries are now extensively used in electric vehicles (EV) as well as in renewable power generation applications for both on-grid and off grid storage. Some of the major challenges with batteries for electric vehicles are the requirement of high energy density, compatibility with high charge and discharge rates while maintaining high performance, and prevention of any thermal runaway conditions. The objective of this research is to develop a computer simulation model for coupled electrochemical and thermal analysis and characterization of a lithium-ion battery performance subject to a range of charge and discharge loading, and thermal environmental conditions. The electrochemical model includes species and charge transport through the liquid and solid phases of electrode and electrolyte layers along with electrode kinetics. The thermal model includes several heat generation components such as reversible, irreversible and ohmic heating, and heat dissipation through layers of battery cell. Simulation is carried out to evaluate the electrochemical and thermal behavior with varying discharge rates. Results demonstrated a strong variation in the activation and ohmic polarization losses as well as in higher heat generation rates. Results show variation of different modes and order of cell heat generation rates that results in a higher rate of cell temperature rise as battery cell is subjected to higher discharge rates. The model developed will help in gaining a comprehensive insights of the complex transport processes in a cell and can form a platform for evaluating number new candidates for battery chemistry for enhanced battery performance and address safety issues associated with thermal runaway.

scholarly journals Electrical Response of Mechanically Damaged Lithium-Ion Batteries

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4284
Author(s):  
Damoon Soudbakhsh ◽  
Mehdi Gilaki ◽  
William Lynch ◽  
Peilin Zhang ◽  
Taeyoung Choi ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Electrochemical Impedance ◽  
Electrical Response ◽  
Mechanical Damage ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Battery Management System ◽  
Battery Cell ◽  
Cell Parameters

Lithium-ion batteries have found various modern applications due to their high energy density, long cycle life, and low self-discharge. However, increased use of these batteries has been accompanied by an increase in safety concerns, such as spontaneous fires or explosions due to impact or indentation. Mechanical damage to a battery cell is often enough reason to discard it. However, if an Electric Vehicle is involved in a crash, there is no means to visually inspect all the cells inside a pack, sometimes consisting of thousands of cells. Furthermore, there is no documented report on how mechanical damage may change the electrical response of a cell, which in turn can be used to detect damaged cells by the battery management system (BMS). In this research, we investigated the effects of mechanical deformation on electrical responses of Lithium-ion cells to understand what parameters in electrical response can be used to detect damage where cells cannot be visually inspected. We used charge-discharge cycling data, capacity fade measurement, and Electrochemical Impedance Spectroscopy (EIS) in combination with advanced modeling techniques. Our results indicate that many cell parameters may remain unchanged under moderate indentation, which makes detection of a damaged cell a challenging task for the battery pack and BMS designers.

scholarly journals New Cell Balancing Charging System Research for Lithium-ion Batteries

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1393
Author(s):  
Chan-Yong Zun ◽  
Sang-Uk Park ◽  
Hyung-Soo Mok
Keyword(s):  
High Capacity ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Battery Management ◽  
Battery Cell ◽  
Charging System ◽  
Charging Time ◽  
Battery Management Systems ◽  
Cell Balancing

With recent advancements in the electrical industry, the demand for high capacity and high energy density batteries has increased, subsequently increasing the demand for fast and reliable battery charging. A battery is an assembly of a plurality of cells, in which maintaining a balance between neighboring cells is crucial for stable charging. To this end, various methods have been applied to battery management systems. Representative methods for maintaining the balance in battery cells include a passive method of adjusting the balance using a resistor and an active method involving the exchange of energy between the cells. However, these methods are limited in terms of efficiency, lifespan, and charging time. Therefore, in this study, we propose a new charging method at the battery cell level and demonstrate its effectiveness through experiments.

scholarly journals Preparation of spherical LiNi0.5Mn1.5O4 with core-multilayer shells structure by co-precipitation method and long cycle performance

2020 ◽  
Vol 213 ◽  
pp. 01011
Author(s):  
Guo-Jiang Zhou ◽  
Tao Yu ◽  
Yang Zhou ◽  
Li-Guo Wei
Keyword(s):  
Specific Capacity ◽  
Lithium Ion ◽  
High Energy ◽  
Solid Particles ◽  
High Energy Density ◽  
Cycle Performance ◽  
Precipitation Method ◽  
Xps Spectra ◽  
Long Cycle ◽  
Co Precipitation

As a promising cathode material for lithium ion battemensionalry of high voltage, spinel LiNi0.5Mn1.5O4 has attracted interest due to its high discharging voltage at 4.7 V and high energy density of 610 Wh kg-1. In this work, LiNi0.5Mn1.5O4 with a new core-multilayer shells structure (LNMO-900) is synthesized successfully by co-precipitation method and shows a better electrochemical performance. The formation of the core-multilayer shells structure is related to the kirkendall effect, the shell maintains structural stability, and improves long cycle performance. Core-multilayer shells structure is also beneficial for transmission of lithium ion, increasing rate performance. The effects of sintering temperature on the performance of LNMO were further investigated. Core-multilayer shells LiNi0.5Mn1.5O4 is synthesized successfully at 900 °C for 12 h uniquely. From the integral calculation of XPS spectra, a higher content of Mn4+ is observed in the outer shell of LNMO-900 compared with other homogeneous solid particles. The discharge specific capacity of LNMO-900 is 129.3 mAh g-1 at 1 C which is superior to others, and after 1000 cycles, LNMO-900 shows capacity retention of 87.9%. The initial capacity of LNMO-900 is 104.9 mAh g-1 at 5 C.

Room-temperature cycling of metal fluoride electrodes: Liquid electrolytes for high-energy fluoride ion cells

Science ◽  
2018 ◽  
Vol 362 (6419) ◽  
pp. 1144-1148 ◽  
Author(s):  
Victoria K. Davis ◽  
Christopher M. Bates ◽  
Kaoru Omichi ◽  
Brett M. Savoie ◽  
Nebojša Momčilović ◽  
...  
Keyword(s):  
Room Temperature ◽  
Lithium Ion ◽  
High Energy ◽  
Liquid Electrolyte ◽  
Temperature Cycling ◽  
High Energy Density ◽  
Fluoride Ion ◽  
Metal Fluoride ◽  
Operating Voltage ◽  
Ion Conducting

Fluoride ion batteries are potential “next-generation” electrochemical storage devices that offer high energy density. At present, such batteries are limited to operation at high temperatures because suitable fluoride ion–conducting electrolytes are known only in the solid state. We report a liquid fluoride ion–conducting electrolyte with high ionic conductivity, wide operating voltage, and robust chemical stability based on dry tetraalkylammonium fluoride salts in ether solvents. Pairing this liquid electrolyte with a copper–lanthanum trifluoride (Cu@LaF3) core-shell cathode, we demonstrate reversible fluorination and defluorination reactions in a fluoride ion electrochemical cell cycled at room temperature. Fluoride ion–mediated electrochemistry offers a pathway toward developing capacities beyond that of lithium ion technology.

Modeling Heat Generation in a Lithium Ion Battery

2011 ◽  
Author(s):  
Wei Wu ◽  
Xinran Xiao ◽  
Xiaosong Huang
Keyword(s):  
Heat Generation ◽  
Numerical Study ◽  
Lithium Ion ◽  
Local Heat ◽  
Generation Rate ◽  
Generation Model ◽  
Heat Generation Rate ◽  
Battery Cell ◽  
Discharge Rates ◽  
Generation Mechanisms

This paper presents a numerical study on heat generation in a lithium-ion (LiC6/LiPF6/LiyMn2O4) battery cell. The numerical model considered multi-physics including battery kinetics, diffusion, and thermal analysis. The heat generation rate was determined by a local heat generation model. This model enables the investigation of the effects of battery parameters on different heat generation mechanisms and the overall heat generation rate in the battery. The effects of the thickness of the battery components and the size of the electrode particles at different discharge rates were evaluated. The results revealed the relationships between these parameters. A battery with a low heat generation rate and efficient battery utilization may be achieved through parameter optimization.

scholarly journals Optimization of Air-cooling System for a Lithium-ion Battery Pack

2021 ◽  
Vol 321 ◽  
pp. 02018
Author(s):  
Sungwook Jin ◽  
Min-Sik Youn ◽  
Youn-Jea Kim
Keyword(s):  
Power Plants ◽  
Cooling System ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Optimization Process ◽  
Maximum Temperature ◽  
Design Parameters ◽  
Air Cooling ◽  
Battery Cells

Lithium-ion batteries have been used as energy storage technologies for electric vehicles or power plants due to their high energy density, low self-discharge rate, and long lifespan. Since the temperature of the batteries are directly related with their durability, distributing the temperature uniformly and efficiently is critically important. In this study, a technology using forced convection with air was implemented to remove heat of the battery cells inside a package. The performance of the cooling system was evaluated by changing the gap distance between the battery cells and the configurations of the air channel. In order to improve the cooling performance of the battery, the shape of the battery module was optimized. To begin the optimization process, a sensitivity analysis was conducted to analyze the influence of the design parameters on the battery performance. Based on the result from the analysis, an optimization process was performed to determine an optimum channel design. As a result of the optimization, a battery cell package with the lowest maximum temperature and a minimum deviation between the temperature in between each cell was selected.

scholarly journals Capacity and Impedance Estimation by Analysing and Modeling in Real Time Incremental Capacity Curves

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4855
Author(s):  
Mikel Oyarbide ◽  
Mikel Arrinda ◽  
Denis Sánchez ◽  
Haritz Macicior ◽  
Paul McGahan ◽  
...  
Keyword(s):  
Lithium Ion ◽  
Health Indicators ◽  
High Energy ◽  
High Energy Density ◽  
Model Parameters ◽  
Capacity Curves ◽  
Preliminary Validation ◽  
Battery Capacity ◽  
Incremental Capacity ◽  
Battery Module

The estimation of lithium ion capacity fade and impedance rise on real application is always a challenging work due to the associated complexity. This work envisages the study of the battery charging profile indicators (CPI) to estimate battery health indicators (capacity and resistance, BHI), for high energy density lithium-ion batteries. Different incremental capacity (IC) parameters of the charging profile will be studied and compared to the battery capacity and resistance, in order to identify the data with the best correlation. In this sense, the constant voltage (CV) step duration, the magnitudes of the IC curve peaks, and the position of these peaks will be studied. Additionally, the behaviour of the IC curve will be modeled to determine if there is any correlation between the IC model parameters and the capacity and resistance. Results show that the developed IC parameter calculation and the correlation strategy are able to evaluate the SOH with less than 1% mean error for capacity and resistance estimation. The algorithm has been implemented on a real battery module and validated on a real platform, emulating heavy duty application conditions. In this preliminary validation, 1% and 3% error has been quantified for capacity and resistance estimation.

scholarly journals Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Bin Yu ◽  
Tao Zhang ◽  
Tianyu Liu ◽  
Lei Yao
Keyword(s):  
Lithium Ion Batteries ◽  
Life Prediction ◽  
Residual Life ◽  
Interval Estimation ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Scale Transformation ◽  
Capacity Degradation ◽  
Battery Capacity

As a new type of secondary battery, lithium-ion battery is widely used in the aerospace industry with the advantages of long lifetime, high energy density and low pollution, etc. In this paper, we focus on the problem of offline and online life prediction for satellite lithium-ion batteries. Firstly, based on the NASA laboratory battery dataset, a Wiener process with time-scale transformation is used to capture battery capacity fading, and then the battery reliability point and interval estimation equation are derived, respectively. Secondly, by analyzing the charge and discharge profiles of the batteries in orbit environments, an accurate capacity prediction model is proposed based on the partial charging curves. Finally, the Bayesian framework is used to perform capacity degradation model online updating, and the analytical expression of residual life distribution is derived to achieve RL prediction for in-orbit satellite lithium-ion batteries.

Si Nanowire Anode Prepared by Chemical Etching for High Energy Density Lithium-ion Battery

2013 ◽  
Vol 28 (11) ◽  
pp. 1207-1212 ◽  
Author(s):  
Jian-Wen LI ◽  
Ai-Jun ZHOU ◽  
Xing-Quan LIU ◽  
Jing-Ze LI
Keyword(s):  
Energy Density ◽  
Lithium Ion Battery ◽  
Chemical Etching ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Si Nanowire
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