In recent years, with the swift progression of electric vehicles, new energy storage, intelligent robots and other fields, lithium-ion batteries have been widely used to meet the needs of high energy density, high out...
In recent years, with the swift progression of electric vehicles, new energy storage, intelligent robots and other fields, lithium-ion batteries have been widely used to meet the needs of high energy density, high output voltage and wide operating range of the battery. Typically, lithium-ion batteries operate under complex conditions and are accompanied by physical and chemical changes within them. These factors lead to irreversible physical and chemical changes in lithium-ion batteries, and their potential pitfalls can lead to abnormal system operation and even catastrophic events in electrical systems. Therefore, accurate RUL prediction can effectively indicate thehealth condition of Li-ion battery, and at the same time can ensure the reliability and safety of the system, which is important for the safe operation of the whole Li-ion battery system, and its remaining life assessment has become a research hotspot in the related fields of electrochemistry, intelligent detection and reliability, and has a good development prospect. Therefore, this paper analyzes the common methods and application status of remaining life prediction of lithium-ion batteries, brings together the prediction methods based on model-based methods, data-driven methods and fusion-based methods, and analyzes the advantages and disadvantages of each method to provide reference for relevant technical personnel.
Lithium-ion batteries have become the first choice for electric vehicle power batteries and energy storage power plants due to their good output characteristics and high energy density. Taking the lithium battery as t...
Lithium-ion batteries have become the first choice for electric vehicle power batteries and energy storage power plants due to their good output characteristics and high energy density. Taking the lithium battery as the research object, a battery monomer heat production model is established to explore theheat generation mechanism of the lithium-ion battery, and the simulation results show that the internal temperature field of lithium-ion battery is unevenly distributed, and the middle temperature is higher than the surrounding temperature. The experimental analysis of the thermal runaway characteristics of the lithium-ion battery under the pinning conditions shows that the temperature change trend of the battery is the same at each point during the pinning period, but the temperature at the pinning point is the highest. With the increase of the battery SOC, the maximum temperature at each temperature point increases, but the growth rate of the maximum temperature becomes gradually slower.
Excessive carbon dioxide emissions pose a global environmental issue, and carbon sequestration technology offers a solution. This study proposes a novel approach for carbon dioxide sequestration in the overlying layer...
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