METHODS FOR PREPARING CoNi-S@3D-C NANOCOMPOSITE AND MODIFIED BATTERY SEPARATOR

    公开(公告)号:US20240396040A1

    公开(公告)日:2024-11-28

    申请号:US18201678

    申请日:2023-05-24

    Abstract: Disclosed in the present invention are methods for preparing a CoNi—S@3D-C nanocomposite and a modified battery separator. The CoNi—S@3D-C material synthesized by the method of the present invention is applicable not only to a lithium-ion battery but also to a sodium-ion battery. As the anode for both the lithium-ion and sodium-ion batteries, it exhibits good energy storage performance, maintaining very stable performance even under high-density current charging and discharging cycles, while also possessing very high reversible capacity. The heteroatom-doped three-dimensional nanocarbon structure achieves good encapsulation of the metal sulfides, and can effectively inhibit the volume expansion of the metal sulfides, slowing down the decline of its specific capacity and maintaining the high capacity and service life of the anode material. The CoNi—S@3D-C material of the present invention can also be used as a material for modifying a separator of a lithium-sulfur battery. The modified separator can improve the safety performance of the lithium-sulfur battery while maintaining a high energy storage effect of the battery and slowing down the capacity decline of the lithium-sulfur battery.

    METHOD FOR PREDICTING CORROSION AND SPONTANEOUS COMBUSTION OF SULFUR-RELATED PETROCHEMICAL EQUIPMENT

    公开(公告)号:US20200333272A1

    公开(公告)日:2020-10-22

    申请号:US16958753

    申请日:2018-10-25

    Abstract: Disclosed is a method for predicting corrosion and spontaneous combustion of sulfur-related petrochemical equipment. The method solves the issues in the existing techniques that includes narrow predicting range, high workload in installation and maintenance, and time lag in predicting corrosion and spontaneous combustion inside equipment. The method comprises a step of a dual index system prediction, which includes a step of monitoring a temperature and a step of detecting SO2 gas generated by spontaneous combustion. The time when spontaneous combustion occurs can be accurately calculated by using a fitted quantitative relationship formula generated by the spontaneous combustion of corrosion products. The method has a low Labor cost. The method has a low labor cost and, does not require on-site gas detection to be carried out by means of manual detection, which both reduces the cost and ensures the detection accuracy.

    Three-Dimensional Modeling Method for Thermal Runaway of Lithium-Ion Battery under Different State of Charge Conditions Based on Differential Scanning Calorimeter Experiment

    公开(公告)号:US20230401343A1

    公开(公告)日:2023-12-14

    申请号:US18203291

    申请日:2023-05-30

    CPC classification number: G06F30/10 G06F30/27 G06F2111/06

    Abstract: The present invention discloses a three-dimensional modeling method for thermal runaway of a lithium-ion battery under different state of charge (SOC) conditions based on a differential scanning calorimeter (DSC) experiment, comprising S1: obtaining an active material of a battery, and performing a DSC experiment to obtain a heat flow curve; S2: dividing the heat flow curve of the battery into a plurality of reaction peaks to obtain a reaction enthalpy of each peak of the battery; S3: analyzing the heat flow curve by utilizing a Kissinger equation to obtain activation energy and a pre-exponential factor; S4: fitting the heat flow curve of the material of the battery by using a genetic algorithm to obtain a reaction order of the active material of the lithium-ion battery; S5: establishing a thermal runaway model of the battery, and comparing simulation experimental results to verify the feasibility of the model; and S6: changing the SOC of the lithium-ion battery, and studying the influence of different SOC on the thermal runaway of the lithium-ion battery. The thermal runaway model established based on the DSC experiment according to the present invention can actually reproduce the thermal runaway reaction of the lithium-ion battery during the thermal runaway process and improve the accuracy of the model.

    Nanocomposite Flame Retardant, Flame Retardant Bismaleimide Resin and Preparation Method Thereof

    公开(公告)号:US20230265261A1

    公开(公告)日:2023-08-24

    申请号:US18111589

    申请日:2023-02-19

    CPC classification number: C08K3/22 C08K7/00 C08L79/085 B82Y40/00

    Abstract: The present application discloses a nanocomposite flame retardant. The nanocomposite flame retardant includes 9.7-9.8 wt % of MXene nanosheets, 72.7-76.5 wt % of bimetallic hydroxide and 13.8-17.5 wt % of cuprous oxide particles. The present disclosure further discloses flame-retardant bismaleimide resin added with the nanocomposite flame retardant and a preparation method of the flame-retardant bismaleimide resin. According to the present disclosure, the flame retardant is prepared from magnesium and aluminum elements, so the production cost of the flame retardant is reduced; and meanwhile, the particle size of the cuprous oxide particles is reduced, the specific surface area of cuprous oxide is increased, the catalytic efficiency of the cuprous oxide per unit mass can be improved, and then the flame-retardant and toxicity-reducing effects of products are improved.

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