9results about How to "Optimize power output" patented technology

The invention discloses an adjusting system for controlling the rotating speed of an automobile engine, and the system is characterized in that the system comprises a data collection module which collects the conventional operation parameters of the automobile engine in real time, the conventional operation parameters comprise the rotating speed, the torque, the air inflow, the oil temperature and the oil pressure, and also collects the acceleration, the gradient information, the external environment temperature and humidity of a vehicle and the driving behavior data of a driver; such as accelerator pedal depth change rate and brake frequency; the data analysis module is connected with the data acquisition module and is used for deeply mining a relationship and a potential rule in data by applying a long short-term memory (LSTM) network algorithm in deep learning and a fusion analysis method based on a physical model, identifying a real-time running state and a future change trend of the engine and intelligently diagnosing potential fault hidden dangers; the fuel injection amount and the ignition time can reach the optimal state through accurate rotation speed adjustment, fuel consumption is greatly reduced, fuel economy is improved, and expenditure is saved for users.

The invention relates to the technical field of thermal batteries, in particular to a high-specific-energy long-endurance thermal battery composite positive electrode material and a preparation method and application thereof.The composite positive electrode material is formed by compounding a high-capacity cobalt-based multi-component composite positive electrode material A and a high-conductivity cobalt-based multi-component composite positive electrode material B. Compared with traditional FeS2 and CoS2 positive electrode materials, the composite positive electrode material has the advantages that the specific energy of the composite positive electrode material is greatly improved; the material has the advantages of high pyrolysis temperature, good conductivity and high specific energy, and is suitable for high-specific-energy long-endurance thermal batteries.

This invention relates to a method for improving the consistency of battery cell sorting based on DC internal resistance time-domain response subdivision. The method includes: performing a DC internal resistance test on the battery cells to be sorted, the DC internal resistance test including constant current discharge of the battery cells to be sorted, and collecting voltage and current time series data of the battery cells to be sorted during the constant current discharge process. A time reference is determined for the constant current discharge to reach a target current steady state, and multiple response time intervals are determined based on the time reference. Using the EIS principle, a reference voltage value before constant current discharge and the interval voltage value corresponding to each response time interval are determined. Multiple time-domain segmented equivalent impedance parameters of the battery cells to be sorted are calculated. The battery cells to be sorted are then sorted according to the multiple time-domain segmented equivalent impedance parameters. This method can improve the consistency of DC load response among battery cells in the same group and is beneficial for improving the capacity utilization, power output, temperature rise dispersion, and cycle aging consistency after battery cell grouping.

The invention relates to the technical field of charging, in particular to a flexible dynamic power distribution method and system for a charging pile, and the method comprises the following steps: S1, distributing the power of each charging module to a charging gun, and forming a plurality of small power distribution units; s2, according to the current demand power condition of the charging port, transverse grouping is dynamically carried out, and a primary power combination is formed; s3, performing longitudinal depth calculation on the basis of the primary combination, and dynamically combining the power of different segments; and S4, repeating the step S2 and the step S3, performing recursive hierarchical processing, and outputting the combination after the optimal power distribution is achieved. By adopting the design method, a charging pile control system of a charging pile manufacturer can dynamically adjust and optimize the power output of the power supply module by 100%, and the power supply is greatly utilized to stabilize the power output.

The application provides an athlete muscle strength training and rehabilitation system based on electric stimulation, and relates to the technical field of medical rehabilitation.The application synchronously collects electromyography and kinematic signals, extracts muscle coordination index and joint net output torque double-dimension features in real time, identifies three movement performance states of coordination dominant type, strength dominant type and mixed type, and dynamically generates differentiated electric stimulation parameter sets according to the three movement performance states, so that the precise typing and targeted intervention of the fatigue state of athletes are realized, the muscle coordination efficiency and strength output are synchronously optimized in training, compensatory injury is effectively prevented and functional recovery is accelerated in rehabilitation, and the individualization, safety and overall efficiency of training and rehabilitation are improved.

The utility model discloses a waste water recycling device for a stage water curtain, and belongs to the technical field of stage water curtains. A wastewater recycling device for a stage water curtain comprises a reservoir, a screen, a water outlet pipe and a water inlet pipe, the screen is mounted on the reservoir, the water outlet pipe and the water inlet pipe are fixedly connected through a driving part in the reservoir, and the wastewater recycling device further comprises a filtering mechanism fixed to the surface of the water inlet pipe and used for purifying wastewater; the pressurizing mechanism is fixed on the surface of the water inlet pipe, and the pressurizing mechanism further comprises a pressurizing shell fixed at the end part of the water inlet pipe; under the cooperation of the pressurizing mechanism, the pressurizing shell, the driving shaft and the turbine, the water source flowing force can be fully utilized in the water source pumping process, so that power output can be provided for the cleaning mechanism and the knocking mechanism, the situation that a driving part needs to be independently arranged in the filter screen cleaning process is avoided, and the cleaning efficiency is improved. And the economic cost of equipment manufacturing is further reduced.

The invention provides an electric drive control system and method, an electric drive system, a vehicle and a device, and relates to the technical field of vehicles. The electric drive control system comprises an inverter, a first switch, a second switch and a third switch, the inverter comprises a first three-phase full-bridge inverter circuit and a second three-phase full-bridge inverter circuit, and the motor comprises a first winding and a second winding. Based on the motor with the first winding and the second winding, different connection modes among different windings of the motor can be realized by controlling the working modes of the first switch, the second switch, the third switch, the first three-phase full-bridge inverter circuit and the second three-phase full-bridge inverter circuit; the electric drive control system can automatically adjust the connection mode of the motor winding by controlling corresponding parts under different working conditions of the vehicle, so that the high-efficiency and low-cost vehicle electric drive control system is realized under the condition of not depending on a complex mechanical structure, and the requirements of the vehicle on power output under different working conditions are met.

The invention discloses a Transform-based driving habit prediction method and device, and belongs to the technical field of automatic driving and intelligent driving assistance, and the method comprises the steps: obtaining and preprocessing the historical vehicle driving data of a driver, and obtaining a vehicle driving data sequence in which the dimensional difference between different parameters is eliminated; a sliding window is adopted to slide on the vehicle driving data sequence, and a data sample containing a corresponding data label is extracted; training a Transform-based driving habit prediction model by using a data sample containing a corresponding data label, and in the training process, performing back propagation and parameter optimization by using a mean square error loss function to obtain a trained driving habit prediction model; and inputting real-time vehicle driving data into the trained driving habit prediction model to carry out real-time prediction on the vehicle driving data to obtain a driving habit prediction result. The auxiliary driving information can be obtained according to different persons, and the driving experience of a driver is improved.

The invention provides a wind generating set power optimization control method, and belongs to the technical field of optimization control. The method comprises the steps that 1, a sensor is arranged on the wind generating set, and real-time wind speed data of the surrounding environment and real-time rotating speed data of an impeller are obtained; 2, after the real-time wind speed data and the real-time rotating speed data of the impeller are standardized, a performance curve of the wind generating set is constructed; step 3, obtaining the maximum power point of the performance curve by using an MPPT algorithm; 4, according to the maximum power point and the performance curve, the impeller rotating speed is controlled to reach the maximum power in combination with a control algorithm; and step 5, configuring the control algorithm and the MPPT algorithm into the wind generating set control system, and performing optimization feedback on the algorithm according to the error between the adjusted real power and the optimal power. The wind power generation efficiency is improved, power output is optimized, and the stability and reliability of the wind generating set are enhanced.