4results about How to "Accurate loss" patented technology

The application relates to a photovoltaic simulation prediction method and system based on a cellular automaton, which comprises the following steps: cleaning, spatial registration, interpolation, supervised classification and rasterization processing of multi-source data, construction of a photovoltaic distribution data and environmental factor database; construction of a photovoltaic expansion and photovoltaic loss optimal classification model to obtain the contribution degree result and marginal effect characteristics of each influence factor; calculation of a photovoltaic expansion and photovoltaic loss comprehensive suitability score, generation of a photovoltaic expansion suitability map and a photovoltaic loss suitability map through spatial mapping; after the operation rules and parameter constraint set of the cellular automaton model are determined, the candidate pixel set is screened, the conversion quantity is controlled, and each cellular state is iteratively updated step by step, so that the prediction simulation of the photovoltaic facility space expansion and loss process is realized. According to the technical scheme, the photovoltaic space bidirectional dynamic accurate simulation can be completed through the cellular automaton, and interactive parameter adjustment is supported to adapt to diversified planning scenes.

This invention relates to the fields of marine meteorology and navigation, and discloses a method for predicting meteorological factors for ship navigation based on marine meteorological information. This method is used to predict meteorological factors for ship navigation, assess navigation risks, and plan alternative routes. The method includes processing meteorological data and ship data for a target sea area to obtain historical meteorological time series and ship motion response sequences; constructing state vector trajectories of meteorological factors using historical meteorological data, establishing a dynamic model library, and obtaining the ship motion response function to meteorology based on meteorological and motion response data; generating deterministic meteorological factor prediction sequences by embedding the current meteorological state into the dynamic model; and constructing stochastic differential equations to generate probabilistic prediction distributions of meteorological factors. This invention integrates data-driven and physical constraints, providing more comprehensive navigation decision support.

The application discloses a method for estimating loss of a hybrid switching converter based on a simulation model, and is implemented according to the following steps: selecting SiC-MOSFET and Si-IGBT device models according to system capacity; performing parameter calibration on SiC-MOSFET double-pulse testing and Si-IGBT pulse testing according to the device models; turning off SiC / SiHyS converter SiC-MOSFET and Si-IGBT, testing the hybrid switching tube voltage drop V F when the load current flows reversely; estimating the loss of the SiC / SiHyS converter based on a Matlab simulation model; calculating the junction temperature of the device according to the loss, and updating the SiC-MOSFET value and the Si-IGBT value in real time to obtain an accurate loss estimation value, and completing the estimation. The method solves the problems that the existing loss estimation method for the hybrid switching power is inaccurate, and the system loss cannot be calculated in real time in the entire power range.

The application belongs to the technical field of transformers, and discloses a linear phase-shifting transformer core loss calculation method, system, device and terminal, which is based on a classical trinomial loss separation model, three loss coefficients are calculated by using a least square method; the influence of local hysteresis loop, magnetic field non-sine, tooth slot effect and skin effect on the loss model and the loss coefficient is analyzed, the static magnetic density characteristics of the linear phase-shifting transformer are obtained based on finite element simulation calculation; the tangential magnetic density and the radial magnetic density of each characteristic point are separated, and Fourier analysis is carried out, the fundamental wave magnetic density and each harmonic magnetic density are substituted into the improved loss separation model. The core loss of the linear phase-shifting transformer in the stable operation state can be accurately calculated, the calculation precision is greatly improved, which can provide a reference for the efficient operation of the transformer, and has important significance for the optimization design of the linear phase-shifting transformer body and the realization of the minimum loss control of the multiple superposition inverter system of the linear phase-shifting transformer.