2results about How to "Good prediction" patented technology

The invention discloses a method for solving the formula proportion of each component oil in a blended oil product based on near infrared spectroscopy, which comprises the following steps: collecting the component oil participating in blending, firstly carrying out spectrum scanning on the pure component oil through a near infrared spectrum analyzer, and respectively obtaining near infrared spectrum data X1, X2... Xn of each component oil; the method comprises the following steps: performing spectrum scanning on blend oil with different formula proportions through a near infrared spectrum analyzer, collecting corresponding near infrared spectrum data Y1, Y2... Yp, pre-processing the near infrared spectrum of the mixed oil product by setting a solving target and constraint conditions, and quickly solving the formula proportion of the mixed oil product by utilizing an lsplin optimization algorithm. The method can be used for the online monitoring process of oil products, is good in robustness, and can still accurately predict the formula ratio of each oil product even in the mixing process of various oil products.

The present application relates to the technical field of lithium ion battery, and provides a GRU-EC-GAPSO lithium ion battery SOH prediction method, which comprises the following steps: extracting a health factor from voltage and time data in a local SOC interval during charging and discharging of a lithium ion battery, inputting the GRU model to perform SOH prediction, calculating an error sequence of a predicted value and an actual value, training an EC model by using the error sequence, and obtaining a GRU-EC model; using a GAPSO algorithm to optimize parameters of the GRU-EC model, and obtaining a GRU-EC-GAPSO model; and applying the trained GRU-EC-GAPSO model to different types of lithium ion battery data to perform SOH prediction. The present application has high prediction accuracy and good robustness in lithium ion battery SOH prediction.