3D graphene supported MoO2 for high performance binder-free lithium ion battery
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MoO2 nanoparticles were uniformly distributed on 3D graphene foam Fade
Internal resistance
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Recent times have witnessed significant progress in battery technology due to the growing demand for energy storage systems in various applications. Consequently, battery efficiency has become a crucial aspect of modern battery technology since it directly influences battery performance and lifespan. To guarantee the optimal performance and longevity of batteries, it is essential to measure and understand the battery's round-trip efficiency, which refers to the ratio of energy delivered from the battery during discharge to the energy stored in the battery at the time charging process. The objective of the current study is to investigate and analyse the lithium-ion battery round-trip efficiency. A mathematical model has been established to calculate the battery's coulombic efficiency over a charge-discharge cycle. A comprehensive analysis has been carried out on the developed model to evaluate and compare different battery aspects. By elaborating a correlation between battery efficiency - ambient temperature, battery age, discharge capacity, capacity retention, and round-trip time, this study provides valuable insights into battery performance and optimization. This information will help in understanding battery behaviour and the impact of efficiency on battery technology development. Ignoring battery efficiency can result in lower performance and reduced battery lifespan, hampering battery technology progress. This study aims to contribute to the field's advancement by providing valuable data on battery efficiency.
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The State of Health (SOH) of the battery is often represented either using the decrease in the capacity of the battery or the increase in the internal resistance of the battery. While these indices are commonly used, they do not provide any insight on the reasons for the degradation of the health of the battery. Understanding battery aging and the impact it has on the working/performance of the battery is required to determine the State of Function (SOF) of the battery for that particular application. The SOF of the battery can provide information on the current applicability of the battery to the application. The Remaining Useful Life (RUL) of the battery is also highly dependent on the current and past operating conditions. Determining the reason behind the degradation and the impact on the health can also help determine the RUL or provide feedback to the user on alternate usage patterns to prolong the RUL. This paper uses a first principle based degradation model to determine the sensitivity of the terminal voltage and capacity of the battery to the degradation of the concentration of lithium ions in the anode/negative electrode.
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Degradation
Internal resistance
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We attempt to comparatively study the battery performance due to different kinds of graphene-based anodes. The lithium-ion full battery based on a lithium iron phosphate cathode and a graphene-based anode was assembled. Various graphene-based anodes, including graphene nanoflakes, graphene/graphite composite, magnetically aligned graphene flakes, were investigated in this study. The electrochemical performance of full battery with these graphene-based anodes will be reported.
Lithium iron phosphate
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Abstract Establishing an accurate battery equivalent model is an important link in the development of battery management system (BMS). The second-order RC equivalent circuit model can accurately describe the dynamic characteristics of the battery. Considering the influence of state of charge (SOC) and battery charging and discharging state on the model parameters, the battery model parameters in charging state and discharging state are identified separately through battery performance test experiments. The equivalent circuit model of lithium ion battery with variable parameters is established by Simscape language, and simulation analysis is carried out. The results show that, considering the influence of battery charge and discharge state, the error of the model is small and the accuracy of the model is improved.
State of charge
Charge control
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Internal resistance
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Different models have been proposed so far to represent the dynamic characteristics of batteries. These models contain a number of parameters and each of them represents an internal characteristic of the battery. Since the battery is an entity that works based on many electrochemical reactions, the battery parameters are subject to change due to different conditions of state of charge (SOC), C-rate, temperature and ageing. Referring to our previous work on online identification of the battery parameters, the change in the parameters even during one charging cycle is an experimental fact at least for many lithium-ion batteries. In this paper, the terminal voltage is used as the output to investigate the effect of changes in the parameters on the battery model. Therefore, we analyze the sensitivity of the model to the parameters and validate the analysis by comparing it with the simulation results. Since the output of the model is one of the main components in estimation of the state of charge (SOC), the sensitivity analysis determines the need to update each of the battery parameters in the SOC estimation structure.
State of charge
Internal resistance
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State of charge
Internal resistance
Representation
Lithium battery
Charge cycle
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Battery pack
Lithium battery
Thermal Stability
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Today,Lithium-ion power batteries have been developing fast.More and more attention has been paid to the safety performance of such batteries.Among many the heat has been recognized one of the dominant factors affecting the safety performance.In order to research the heat generation problems in the use of battery,we simulated and calculated the specific heat capacity of LiNi1/3Co1/3Mn1/3O2 battery and LiFePO4 battery with different types,according to the temperature rise data of rated discharge of lithium-ion power battery.The results show that both battery materials and battery structure have effects on the equivalent specific heat capacity and temperature of the battery.The temperature rise rate of LiNi1/3Co1/3Mn1/3O2 battery is relatively fast with respect to LiFePO4lithium-ion battery.The heat release system of a battery with larger volume and longer pole piece is poor.The information provided basic ideas for production and material selection of battery,and also data support for safety performance of lithium-ion battery.Besides,it also has a profound influence on the development of lithium ion battery.
Heat Generation
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