Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3results about How to "Overcome mismatch" patented technology

Gradient-doped ferroelectric thin film device and preparation method thereof

This application provides a gradient-doped ferroelectric thin film device and its fabrication method, relating to the field of optoelectronic device technology. The gradient-doped ferroelectric thin film device comprises, from bottom to top, a substrate, a buried oxide layer, a buffer layer, and a ferroelectric thin film material layer; the ferroelectric thin film material layer is doped with impurity ions, with the doping concentration of the impurity ions increasing sequentially from bottom to top. This application, by employing a bottom-up incremental gradient doping design, optimizes the interface defects and internal stress of the ferroelectric thin film, overcomes the problem of lattice mismatch between ordinary ferroelectric thin films and the substrate layer, achieves improved crystal quality and enhanced electro-optic coefficient, and effectively improves the electro-optic effect.
Owner:INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI

Barrel type foundation structure anticorrosive coating thickness control method and device considering multi-factor coupling effect and medium

ActiveCN121979300AFully consider complex coupling effectsImprove film thickness prediction accuracySpraying apparatusMachine learningData setLayer thickness
The invention relates to a barrel type foundation structure anticorrosive coating thickness control method and device considering a multi-factor coupling effect and a medium. The method comprises the steps that S1, a coating dry film thickness prediction model is constructed based on a simulation data set and a historical data set; s2, acquiring a real-time environment wind speed and a spraying distance, and querying based on a pre-configured response surface database to obtain a reference spraying pressure and a reference nozzle walking speed; s3, on the basis of the coating dry film thickness prediction model, a spraying pressure correction sequence and a nozzle walking speed correction sequence are obtained by minimizing film thickness control deviation and fluctuation targets of spraying pressure and nozzle walking speed in a period of time in the future; and S4, respectively superposing to the corresponding reference spraying pressure and the reference nozzle walking speed to obtain the target spraying pressure and the target nozzle walking speed. Compared with the prior art, the method has the advantages that the film thickness prediction precision under variable working conditions is improved, and accurate closed-loop control of the coating thickness is realized.
Owner:SOUTHEAST UNIV +1

Lithium battery SOC adaptive estimation method based on multi-mode fusion

PendingCN121978537Aovercome mismatchOvercoming aging drift issuesElectrical testingAlgorithmMulti source data
The invention discloses a lithium battery SOC adaptive estimation method based on multi-mode fusion. A data acquisition and processing module, a multi-mode fusion estimation module and an adaptive parameter optimization module are included. According to the method, multi-source data such as voltage, current, temperature and the like are collected in real time, online parameter identification is carried out by adopting a least square method with a joint adaptive forgetting factor and noise covariance, the online parameter identification is combined with extended Kalman filtering, ampere-hour integration and static calibration, dynamic fusion is carried out according to confidence, and an optimal SOC estimated value is output; according to the method, the problem that the precision of a traditional single estimation method is reduced under a complex working condition is effectively solved, and the robustness and accuracy of SOC estimation of the lithium battery under the conditions of a full life cycle, a wide temperature range and variable loads are remarkably improved.
Owner:HEFEI UNIV OF TECH