Abstract: A method for estimating a state of power based on an electrochemical model of a lithium-ion battery includes: obtaining an ambient temperature and an initial state of charge of the battery; obtaining a simulation result of the battery at each moment within a preset time period based on the state information about the battery and the electrochemical model of the battery; performing simulation by taking the maximum feasible current value as an amplitude of an input constant current sequence of a battery port to obtain a curve of a port voltage of the battery within the preset time period; and adjusting the ambient temperature and the initial state of charge, and repeating above steps to obtain the maximum available power values corresponding to different ambient temperatures and different initial states of charge to obtain the state of power of the battery.

Abstract: A method for updating a state of charge based on power characteristics of an electrochemical model of a lithium-ion battery includes obtaining an initial state of charge of a battery and a current sequence with a constant amplitude; obtaining a port voltage of the battery at each moment within a preset time period based on the initial state information about the battery and electrochemical model simulation of the lithium-ion battery; obtaining a current amplitude-state of charge-port power curved surface based on the port powers; fitting the current amplitude-state of charge-port power curved surface to a plane equation; and obtaining a current amplitude corresponding to the port power and the state of charge by using the plane equation based on the port power and the state of charge, and updating the state of charge based on the current amplitude and the preset time period.

Abstract: The present disclosure relates to a mixed integer programming-based load disaggregation method and apparatus for an industrial facility.

Abstract: Provided is a real-time estimation method for a surface lithium concentration of an electrode active material of a lithium ion battery. The method comprises: obtaining an electric current sequence and a temperature sequence of a battery port and a basic parameter of an electrode active material, and calculating a surface lithium concentration, the average lithium concentration and an initial value of a transient variable of the electrode active material in a diffusion process; at the beginning of the current time period, calculating a surface reaction ion flux and a diffusion coefficient of the electrode active material and a time constant of the transient variable of lithium in the active material in the diffusion process; at the end of the current time period, calculating the transient variable of the active material in the diffusion process and the average lithium concentration of the active material.

Abstract: A method for estimating a reactive ion flux and a potential inside a lithium-ion battery includes: obtaining states and parameters of a battery port and points to be analyzed inside the battery required for calculation; calculating reaction parameters of the points to be analyzed inside the battery; calculating a spatial distribution function of a reactive ion flux inside the battery; and calculating a spatial distribution function of a potential of an electrolyte inside the battery.

Abstract: The present disclosure provides a method and a device for detecting electricity theft, and a computer readable medium, smart meter data of each user and aggregated electricity consumption data are obtained during the detection period in the target area, a load profile set and non-technical loss data are obtained, and a correlation between each load profile in the load profile set and the non-technical loss data is obtained through a maximum information coefficient method and based on the smart meter data and the aggregated electricity consumption data, so as to obtain a correlation indicator for measuring the correlation.

Abstract: The present disclosure provides a method and a device for detecting electricity theft, and a computer readable medium, smart meter data of each user and aggregated electricity consumption data are obtained during the detection period in the target area, a load profile set and non-technical loss data are obtained, and a correlation between each load profile in the load profile set and the non-technical loss data is obtained through a maximum information coefficient method and based on the smart meter data and the aggregated electricity consumption data, so as to obtain a correlation indicator for measuring the correlation.