Gas evolution and the effects on ionic transport inside the lithium-ion battery

2019 ◽  
Vol 37 (4) ◽  
pp. 1195-1211
Author(s):  
Na Li ◽  
Lijun Fu ◽  
Kecheng Jiang
Keyword(s):  
Electrode Surface ◽  
Electrochemical Cell ◽  
Lithium Ion ◽  
Ionic Transport ◽  
Gas Evolution ◽  
Gas Bubble ◽  
Content Type ◽  
Performance Deterioration ◽  
Li Ion ◽  
Interference Mechanism

Purpose Gas evolution within lithium-ion batteries (LIBs) gives rise to safety concerns that question their applicability. The gas evolution is not only the result but also the inducement of performance deterioration of LIBs. In this paper, the growth characteristics and dynamic behavior of gas bubble on the electrode surface are studied, and the interference mechanism of gas evolution on Li-ion diffusion or Li-ion conduction within LIBs is discussed and validated by the numerical simulations. Design/methodology/approach First, the mathematical models and simulation method are established. The growth and flow of gas bubble in the serpentine channel on electrode surface, which results from the gas-liquid flow and the effects of surface tension, is modeled by using the multi-phase Navier-Stokes and the volume of fluid method. Integrating Butler–Volmer and Fick’s law, the mathematical model of ions transport in the electrochemical cell is set-up. Second, the motion of gas bubble is tracked, and the variations of bubble shape and characteristic parameters with time are obtained by the computed fluid dynamics (CFD) method. Findings Based on the CFD results, the battery models and electrochemical simulations are carried out to analyze the ionic transport characteristics. The results show that the microstructural morphology such as the serpentine channel shape and size on electrode surface are important aspects for the gas bubble growth and the local ionic transport. Li ions significantly accumulate at one side of the gas obstacle, hindering the ionic diffusion normally. When the gas bubble blocks the electrolyte, the passage of ions from the positive to the negative is interrupted, and the open circuit zone of the electrochemical cell is formed. Originality/value The gas evolution within LIBs is not only a result but also an inducement of its performance deterioration. The primary issues in this study are the growth characteristics and dynamic behavior of gas bubble on the electrode surface, providing the knowledge for the interference mechanism of gas evolution on ionic transport and ultimately leads to significant increase of battery resistance.

Lithium will see rising global usage in batteries

2015 ◽  
Keyword(s):  
Lithium Ion ◽  
Price Volatility ◽  
Transport Sector ◽  
Li Ion Batteries ◽  
Content Type ◽  
Electric Cars ◽  
Electric Car ◽  
Higher Power ◽  
Li Ion ◽  
Utility Scale

Subject Indications that the global lithium market is adequately supplied. Significance Lithium-ion (Li-ion) batteries, which have a higher power density in a smaller package than other technologies, have become the default choice for most personal electronics and electric cars. Demand for them has taken on renewed fervour with Tesla founder Elon Musk's unveiling of Li-ion energy storage for rooftop solar energy and utility-scale electricity back-up. More recently, he announced plans to build an electric car that could break 1,000 kilometres on a single charge within one-to-two years. Impacts Despite delays in project execution and a tepid financing environment for junior producers, price volatility will be subdued. Falling oil prices may dent Li-ion batteries' price competitiveness in the transport sector. How technology advances will be decisive in determining future demand, making forecasting particularly difficult.

US battery and energy storage markets will grow

2018 ◽  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Large Scale ◽  
Lithium Ion ◽  
Due Diligence ◽  
Li Ion Batteries ◽  
Content Type ◽  
Major Transition ◽  
Li Ion ◽  
The Cost

Subject Batteries and energy storage. Significance With the rise of renewable energies and electric vehicles, a major transition is underway in global energy markets. The key to facilitating growth in both areas is the falling cost of lithium-ion (Li-ion) batteries. Cheaper batteries have helped to reduce the cost of electric vehicles and are making large-scale energy storage on the power grid -- which is a necessity if renewables are to continue growing -- a reality. Impacts Secure access to lithium, cobalt and other battery-related materials will be vital to economic development. Competition over resources to build batteries could see protests, skirmishing and illegal trade where the resources are. Companies face higher due diligence demands when sourcing battery-producing materials.

ADAPTIVE ALGORITHMS OF CONTROLLING THE SMART LI-ION BATTERY CONTROLLER

2018 ◽  
pp. 104-110
Author(s):  
I. A. Borovoy ◽  
O. V. Danishevskiy ◽  
A. V. Parfenov
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Electric Energy ◽  
Lithium Ion ◽  
Control Device ◽  
Control Algorithms ◽  
Battery System ◽  
Electronic Control Device ◽  
Li Ion ◽  
Cell Balancing

The article substantiates the necessity of organizing the control system of modern lithium-ion batteries. Passive and active methods of cell balancing are described. The method of increase of efficiency of modes of accumulation of electric energy by means of the special electronic control device (the intellectual controller) and its further use for power supply of the functional equipment is considered. The structure of the intelligent controller as a part of the autonomous power supply system with the description of its main functional units and purpose is presented. Practical results of application in the intellectual controller of original adaptive control algorithms defining modes of operation of lithium-ion drives depending on various environmental conditions are resulted. The results of the analysis obtained by the results of experimental operation of the battery system, reflecting the qualitative and quantitative advantages of the proposed method.

scholarly journals Stochastic Expansion Planning of Various Energy Storage Technologies in Active Power Distribution Networks

2021 ◽  
Vol 13 (10) ◽  
pp. 5752
Author(s):  
Reza Sabzehgar ◽  
Diba Zia Amirhosseini ◽  
Saeed D. Manshadi ◽  
Poria Fajri
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Power Flow ◽  
Lithium Ion ◽  
Distribution Networks ◽  
Renewable Energy Resources ◽  
Flow Equations ◽  
Second Order Cone ◽  
Li Ion ◽  
The Cost

This work aims to minimize the cost of installing renewable energy resources (photovoltaic systems) as well as energy storage systems (batteries), in addition to the cost of operation over a period of 20 years, which will include the cost of operating the power grid and the charging and discharging of the batteries. To this end, we propose a long-term planning optimization and expansion framework for a smart distribution network. A second order cone programming (SOCP) algorithm is utilized in this work to model the power flow equations. The minimization is computed in accordance to the years (y), seasons (s), days of the week (d), time of the day (t), and different scenarios based on the usage of energy and its production (c). An IEEE 33-bus balanced distribution test bench is utilized to evaluate the performance, effectiveness, and reliability of the proposed optimization and forecasting model. The numerical studies are conducted on two of the highest performing batteries in the current market, i.e., Lithium-ion (Li-ion) and redox flow batteries (RFBs). In addition, the pros and cons of distributed Li-ion batteries are compared with centralized RFBs. The results are presented to showcase the economic profits of utilizing these battery technologies.

scholarly journals A Segregated Approach for Modeling the Electrochemistry in the 3-D Microstructure of Li-Ion Batteries and Its Acceleration Using Block Preconditioners

2021 ◽  
Vol 86 (3) ◽  
Author(s):  
Jeffery M. Allen ◽  
Justin Chang ◽  
Francois L. E. Usseglio-Viretta ◽  
Peter Graf ◽  
Kandler Smith
Keyword(s):  
Degrees Of Freedom ◽  
Electrode Materials ◽  
Lithium Ion ◽  
Automotive Application ◽  
System Of Equations ◽  
Strongly Correlated ◽  
Electrolyte Depletion ◽  
Li Ion ◽  
Block Preconditioners ◽  
Electrochemical Model

AbstractBattery performance is strongly correlated with electrode microstructure. Electrode materials for lithium-ion batteries have complex microstructure geometries that require millions of degrees of freedom to solve the electrochemical system at the microstructure scale. A fast-iterative solver with an appropriate preconditioner is then required to simulate large representative volume in a reasonable time. In this work, a finite element electrochemical model is developed to resolve the concentration and potential within the electrode active materials and the electrolyte domains at the microstructure scale, with an emphasis on numerical stability and scaling performances. The block Gauss-Seidel (BGS) numerical method is implemented because the system of equations within the electrodes is coupled only through the nonlinear Butler–Volmer equation, which governs the electrochemical reaction at the interface between the domains. The best solution strategy found in this work consists of splitting the system into two blocks—one for the concentration and one for the potential field—and then performing block generalized minimal residual preconditioned with algebraic multigrid, using the FEniCS and the Portable, Extensible Toolkit for Scientific Computation libraries. Significant improvements in terms of time to solution (six times faster) and memory usage (halving) are achieved compared with the MUltifrontal Massively Parallel sparse direct Solver. Additionally, BGS experiences decent strong parallel scaling within the electrode domains. Last, the system of equations is modified to specifically address numerical instability induced by electrolyte depletion, which is particularly valuable for simulating fast-charge scenarios relevant for automotive application.

Overcharge protection of lithium-ion batteries with phenothiazine redox shuttles

2021 ◽  
Author(s):  
Susan A. Odom
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Phenothiazine Derivatives ◽  
Redox Shuttles ◽  
Li Ion ◽  
Overcharge Protection

Overcharge protection of Li-ion batteries with a variety of phenothiazine derivatives.

scholarly journals Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries

RSC Advances ◽  
2021 ◽  
Vol 11 (39) ◽  
pp. 24132-24136
Author(s):  
Liurui Li ◽  
Tairan Yang ◽  
Zheng Li
Keyword(s):  
Lithium Ion Batteries ◽  
End Of Life ◽  
Lithium Ion ◽  
Separation Process ◽  
Yield Prediction ◽  
Li Ion Batteries ◽  
Treatment Efficiency ◽  
Control Factors ◽  
Li Ion ◽  
Pre Treatment

The pre-treatment efficiency of the direct recycling strategy in recovering end-of-life Li-ion batteries is predicted with levels of control factors.

A novel eutectic solvent precursor for efficiently preparing N-doped hierarchically porous carbon nanosheets with unique surface functional groups and micro-pores towards dual-carbon lithium-ion capacitors

2021 ◽  
Author(s):  
Kaixiang Zou ◽  
Yuanfu Deng ◽  
Weijing Wu ◽  
Shiwei Zhang ◽  
Guohua Chen
Keyword(s):  
Functional Groups ◽  
Porous Carbon ◽  
High Performance ◽  
Electrode Materials ◽  
Lithium Ion ◽  
Surface Functional Groups ◽  
Carbon Nanosheets ◽  
Hierarchically Porous ◽  
Li Ion ◽  
Unique Surface

High performance carbon-based materials are ideal electrode materials for Li-ion capacitors (LICs), but there are still many challenges such as the complicated preparation preocesses, high cost and low yield. Also,...

scholarly journals Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

2021 ◽  
Author(s):  
Chethan Parthasarathy ◽  
Hossein Hafezi ◽  
Hannu Laaksonen
Keyword(s):  
Smart Grid ◽  
Network Management ◽  
Smart Grids ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Active Network ◽  
Li Ion ◽  
Grid Side ◽  
And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

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