2results about How to "Meet quantitative requirements" patented technology

This invention relates to the field of lithium-ion battery cathode material testing technology, specifically to a method for determining the manganese leaching amount of lithium manganese iron phosphate (LFP) materials. The method includes: extracting a LFP sample in a weakly acidic buffer solution simulating the battery's operating environment; separating the solid and liquid phases to obtain the test solution; and simultaneously performing a blank test; transferring the test solution; adding a buffer solution capable of selectively complexing manganese ions and eliminating iron ion interference to adjust the pH value of the system; using a platinum electrode as the indicator electrode and a saturated calomel electrode as the reference electrode; and performing potentiometric titration using a redox standard titration solution; determining the titration endpoint based on the potential jump; and recording the titration volume; and calculating the manganese leaching amount based on the titration volume, the blank test value, and the sample mass. This invention achieves selective and high-precision determination of manganese leaching; the method requires no expensive instruments, is low-cost, and has good reproducibility, making it suitable for the research and development and production quality control of LFP materials.

The present application belongs to the technical field of aircraft ground deicing, and discloses a method and system for collaborative optimization of aircraft ground deicing configuration parameters, and a computer device. The method comprises: obtaining a correlation topology result of the aircraft ground deicing configuration parameters by analyzing the distribution fitting law of multi-scale correlation coupling of the aircraft ground deicing configuration parameters and the quantitative deicing efficiency relationship, and constructing a correlation coupling graph model of the deicing configuration parameters based on the result; establishing a collaborative optimization model of the deicing configuration parameters with the objectives of maximum safety margin of the retention time, shortest deicing time, most balanced configuration parameters, and least deicing fluid consumption; simplifying the complex constraints of the deicing configuration parameters, and solving the collaborative optimization model of the deicing configuration parameters after relaxation. The average absolute error between the measured result and the calculated value meets the airport operation requirements, and the collaborative optimization and solving method of the deicing configuration parameters reduces the deicing fluid consumption on the basis of ensuring absolute safety and efficient operation in combination with the actual deicing configuration parameters of the airport.