1470 results about "Mode switching" patented technology

The invention relates to a follow-up network type control smooth switching method based on a generalized operation short-circuit ratio index. The follow-up network type control smooth switching method comprises the following steps of 1, introducing a generalized operation short-circuit ratio (GOSCR) as a switching index, and proposing a GOSCR-based hysteresis control mode switching judgment index under different power grid strength and power output working conditions; step 2, establishing a unified new energy grid-connected control unit model: constructing a unified grid-connected control model in two modes of network following control and network construction control, systematically analyzing oscillation characteristics of a grid-connected unit in the two modes, and defining boundary conditions of mode switching; 3, proposing an LADRC-based undisturbed switching control strategy: observing and estimating system current disturbance parameters online by utilizing LESO, realizing real-time compensation of disturbance quantity, and reducing dynamic sudden change in the switching process; the method has the advantages that GOSCR switching indexes are introduced to comprehensively evaluate the strength, a unified grid-connected control model is established, and an undisturbed switching control strategy is provided.

The invention discloses a multi-mode interaction method for an accompanying robot, and relates to the technical field of robot interaction.The multi-mode interaction method comprises the steps that voice, visual and tactile signals are converted into quantum states through multi-mode quantum state coding, emotion weights are dynamically fused, and unified quantum representation is constructed; the dynamic quantum decision engine analyzes environmental noise and user emotion intensity in real time based on a quantum measurement theory, generates an adaptive strategy through dynamic modal weight distribution, and solves a multi-modal instruction conflict; holographic reinforcement learning optimization is combined with quantum acceleration calculation and classical reinforcement learning, the reward function weight is dynamically adjusted, cross-modal knowledge migration is achieved through the quantum tunneling effect, and the system strategy is continuously optimized. The problems that a traditional multi-mode interaction system is rigid in mode switching, high in emotion recognition error rate, lack of self-adaptive optimization of a feedback strategy and the like are solved, and the interaction efficiency and the user experience are improved.

The invention relates to the technical field of intelligent power grid communication, in particular to a dual-mode communication channel switching method and device based on multimode perception and weight decision. The method comprises the following steps: acquiring multimode parameters of two channels; respectively calculating two channel quality indexes, and calculating a comprehensive score based on the two channel quality indexes and the dynamic weight; and determining whether to trigger mode switching according to the relationship between the comprehensive score and the switching threshold value and the change trend of the comprehensive score. According to the method, the channel quality index and the comprehensive score are calculated through the multimode parameters of the channel, whether mode switching, dynamic threshold and hysteresis setting are triggered or not is determined according to the relation between the comprehensive score and the switching threshold and the change trend of the comprehensive score, and the problems of frequent switching, critical fluctuation and the like of the channel can be avoided. And on the basis of judging the comprehensive score and the switching threshold, the change trend of the comprehensive score is considered, so that a better channel can be selected for transmission, the success rate of communication transmission is guaranteed, and the transmission reliability is improved.

The invention relates to a PFC-PWM (Pulse Width Modulation) dual-mode control method for a high-voltage direct-current power supply with a wide output voltage range. The output current of the high-voltage direct-current power supply is detected in real time, the critical threshold value of the load impedance is mapped into the hysteresis interval of the output current, the theoretical boundary of mode switching is obtained, and the control mode is dynamically adjusted. In order to further guarantee smooth switching of the two control modes, hysteresis control logic is designed, and undisturbed smooth switching of the PFM mode and the PWM mode is achieved. Based on an energy equivalence principle and a frequency consistency constraint of a critical load SWL working point, a current threshold criterion and a parameter pre-synchronization strategy are constructed, seamless connection of a mode switching process in a frequency domain and an energy domain is ensured, a transient oscillation risk is remarkably reduced, and a guarantee is provided for continuous and stable output of a full-range load working condition.

The invention relates to the technical field of distributed energy storage and intelligent power grid control, in particular to an intelligent distributed energy storage cluster collaborative management system. Comprising a state acquisition module used for acquiring local power grid state parameters of an edge computing node in real time; the power grid state parameters comprise power grid frequency, power grid voltage and a heartbeat communication state with the cloud management platform; the risk calculation module is used for calculating quantified island risk indexes; the mode judgment module is used for determining a current operation mode decision; the mode switching module is used for switching the system from a vertical cooperative mode to a horizontal autonomous mode when the island risk index is greater than an island switching threshold value; and when the island risk index is smaller than or equal to the island switching threshold value, the system is maintained to operate in the vertical cooperation mode. According to the system, misjudgment and missed judgment of a traditional single threshold value mode are overcome, it is ensured that the mode switching module can be switched to the horizontal autonomous mode from the vertical cooperative mode in time under the real risk, and decision making is accurate and reliable.

The invention discloses an error self-calibration method of a hemispherical resonator gyroscope. The error self-calibration method comprises the following steps: realizing mapping and transition between modals; identifying and eliminating transient errors generated in the mode switching process; the error compensation process is optimized, and the adaptive capacity of the system to complex dynamic changes is enhanced; the control parameters of the gyroscope in different modes are automatically adjusted; the correction of an error mode is optimized, and the output precision is improved; transient errors are recognized and eliminated in real time, and system output signals are smoothed; constructing a mode switching decision support and prediction algorithm, judging a mode switching opportunity, predicting an error after switching and compensating the error in advance; system control and calibration parameters are adjusted in real time; layered optimization is carried out on errors of different modal hierarchies; and error self-learning and system optimization are realized by combining adaptive learning and a global optimization strategy. According to the method, the transient error problem caused in the mode switching process can be effectively solved, and global optimization and error correction can be carried out in real time.

The invention provides a communication module low-delay switching control method based on HPLC and HRF, and relates to the technical field of data processing, and the method comprises the following steps: when an index continuously exceeds a dynamically adjusted judgment threshold, a switching judgment unit generates a mode switching enable signal, and initializes an HRF channel pre-synchronization sequence; based on a pre-stored HRF channel feature vector table, HRF channel negotiation and authentication handshake processes are executed in parallel while HPLC link state monitoring is maintained; through a dual-channel redundancy transmission mechanism, the key fault information is packaged into a final priority protocol data unit before the establishment of the HRF link is not completed, and redundancy forwarding is carried out through a reserved time slot window of the HPLC link; and after the handshake of the HRF link is completed, the switching control unit executes seamless switching of the data transmission channel. According to the invention, the accuracy of channel state judgment is improved.

The invention relates to the technical field of AC / DC module control, and discloses an intelligent control method and system for multi-mode switching of an AC / DC module. According to the method, a dynamic topology mapping model is constructed according to an impedance spectrum matrix, and a physical connection relation is converted into a node admittance relation network; generating an energy distribution state sequence based on the power fluctuation vector, and analyzing migration constraint conditions among different operation modes by adopting an association rule mining algorithm; when an operation mode switching instruction is detected, activating a node admittance relation network in the dynamic topology mapping model, and inputting a current energy distribution state sequence to an association rule mining algorithm; according to a real-time matching result of the node admittance relation network and the migration constraint condition, generating a switching control instruction containing an impedance adjustment gradient and a power distribution weight; and the power semiconductor execution unit transmits the switching control instruction to the AC / DC module. According to the method, multi-mode intelligent switching control of the alternating-current and direct-current module can be realized.

The invention provides a multi-mode adaptive control method and system for a low-voltage servo driving system, and the method comprises the steps: obtaining the state parameters of the low-voltage servo driving system, and analyzing the mode switching conditions of the low-voltage servo driving system based on the working condition monitoring parameters and system state monitoring parameters in the state parameters; the mode switching condition comprises an event triggering condition and / or a performance triggering condition, judging whether the low-voltage servo driving system meets the mode switching condition or not according to an analysis result of the mode switching condition, and when the low-voltage servo driving system meets the mode switching condition, switching the low-voltage servo driving system to the mode switching condition. Configuring a basic control mode and a self-adaptive control mode of the low-voltage servo driving system according to the state parameters, and dynamically configuring controller parameters of the low-voltage servo driving system on the basis of the configured basic control mode and the self-adaptive control mode, the requirements for precision and robustness can be met at the same time under different working conditions.

The invention provides a method for identifying a power grid frequency signal assessment standard, and the method comprises the steps: constructing a system architecture composed of a master station, a substation and a communication network, and achieving the initialization of equipment through a finite-state machine; the method comprises the following steps: collecting power grid frequency, power generation side frequency difference and communication state multi-dimensional data, processing signals by applying median filtering, a sliding window and an EWMA algorithm, introducing fuzzy logic to evaluate a system state, and dynamically adjusting a response strategy; an improved PID algorithm is adopted to track frequency change, feed-forward compensation and PSO parameter optimization are combined, a hidden Markov model is utilized to predict a communication fault, and local mode switching is triggered in advance; main station, mixing and local three-state switching is carried out according to communication states and load changes, and a frequency modulation dead zone is automatically adjusted according to power grid loads through a dynamic threshold value self-adaptive algorithm; the control effect is verified by using a digital twinning technology; and the safety and reliability of the system are guaranteed by optional quantum encryption and active-active redundancy design. The whole scheme effectively reduces the power loss of power generation enterprises, and maintains the safe and stable operation of a power grid.

The invention discloses an LDPC (Low Density Parity Check) coding and decoding system and method for high-density tape storage, and the system comprises a main controller which is used for scheduling coding and decoding mode switching and module cooperative control; the storage and calculation integrated array is used for executing zero-carrying storage calculation; the ping-pong buffer framework is composed of an input buffer module Buffer A and an output buffer module Buffer B; the dynamic code length extension module is used for reconstructing a cascade link; the preprocessing module is used for converting the noisy code word into a log likelihood ratio (LLR) value; the hard decision module is used for converting the VN message into user data; the main controller is connected with all the modules through a control bus, and the dynamic code length extension module controls the power state and interconnection topology of the sub-arrays. According to the LDPC coding and decoding system and method based on the storage and calculation integrated array, zero-carrying calculation is achieved, iterative decoding is accelerated through a ping-pong buffer architecture, and the code length is flexibly configured through the dynamic code length extension module, the coding and decoding efficiency of high-density tape storage is improved, delay and energy consumption are reduced, meanwhile, multi-code-length self-adaption is supported, and high performance and flexibility are considered.

Methods, systems, and devices for wireless communications are described to support predictive beam management mode switching. A user equipment (UE) may proactively request or be indicated to switch beam management modes associated with generation of channel state information (CSI). The UE may request (e.g., or be requested) to switch from using a current beam management mode associated with prediction of CSI to using another beam management mode associated with generation of CSI, for example, based on a change of the operating conditions of the UE or a difference between predicted and measured channel characteristics. Based on the switch, the UE may generate and transmit CSI in accordance with the switched-to beam management mode.

The invention provides a mainboard power supply output voltage stability test method and system, and the method comprises the steps: generating a dynamic stepped load current based on a load demand parameter and a limit working condition defined by a hardware specification when a mainboard operates in a preset multi-mode switching state, and setting a first synchronization window before each step switching moment, setting a second synchronization window after the step switching time, collecting voltage waveform data, inputting the voltage waveform data into a preset filtering algorithm, extracting an overshoot amplitude and recovery time, constructing an asymmetric coupling model, and taking a difference value between the overshoot amplitude and a preset fluctuation range as a first stability index; the ratio of the recovery time to the response time threshold value is used as a second stability index, nonlinear weight distribution of the two indexes in multiple step intervals is calculated, a stability grade judgment result is generated in combination with a circuit board wiring impedance characteristic library, and the test compatibility of high-density mainboard multi-phase power supply and high-frequency devices is improved.

The invention provides an electric motor coach whole vehicle OTA upgrading control method based on a BMS and a VCU, a temperature control dynamic threshold value and a multi-sensor weighted scoring algorithm are adopted, the BMS adaptively adjusts an SOC threshold value according to the battery temperature, the VCU synthesizes the vehicle speed, a hand brake and other states to generate upgrading condition evaluation, a user portrait database and a logistic regression model are combined, and the whole vehicle OTA upgrading control method based on the BMS and the VCU is obtained. Differentially pushing popup windows and predicting user cancel behaviors, implementing a block verification and low-temperature delay write-in strategy, dynamically optimizing remaining time display and low-bandwidth mode switching by a VCU, constructing a multi-stage rollback strategy library, automatically selecting a rollback path according to failure reasons, and cooperating with a safe restart mechanism of key state linkage; and in combination with NLP analysis user feedback driving system iteration, the low-temperature environment compatibility, the user interaction experience and the upgrading success rate are effectively improved, and a closed-loop optimized OTA upgrading ecological system is formed.

The invention discloses a power supply control method and device of a server and electronic equipment, and relates to the technical field of computers, power supply modes of a group of power supplies comprise a static redundant power supply mode and a dynamic redundant power supply mode, and the method comprises the following steps: obtaining power consumption data of the group of power supplies in a specified historical period to obtain historical power consumption data; on the basis of the historical power consumption data, the load trend of the group of power supplies in a specified future time period is predicted, the predicted load trend of the group of power supplies is obtained, and the specified future time period is a future time period with the current moment or a future moment after the current moment as a starting moment; and according to the predicted load trend and the specified mode switching condition, dynamically switching the power supply mode of a group of power supplies, thereby solving the technical problems of low efficiency of the power supplies and serious electric energy waste in a power supply control method in the related technology, and achieving the technical effects of improving the efficiency of the power supplies and reducing the electric energy waste.

The invention relates to the technical field of stepless speed change control, and discloses a stepless speed change zeroing control system based on a direct-axis electric drive axle, which comprises a signal acquisition module, a torque analysis module, a zeroing control module, a mode switching module, a reference calibration module and an execution output module. The signal acquisition module acquires a rotating speed signal and torque data and sets a zero setting detection interval; the torque analysis module divides torque compensation nodes and generates feature vectors; the zero setting control module establishes a correction rule and obtains a compensation parameter; the mode switching module identifies an output mode and calculates a rotating speed fluctuation amplitude; the reference calibration module deduces an optimal zeroing threshold value and generates a torque deviation sequence; and the execution output module integrates to form a control scheme. The system achieves torque dynamic compensation, rotation speed fluctuation suppression and threshold value self-adaptive calibration through multi-module cooperation, improves the stability and control precision of an electric drive axle under complex working conditions, and is suitable for stepless speed change control of an electric vehicle.

The utility model provides a full-bridge LLC resonant converter control circuit, which is characterized in that a full-bridge LCC resonant converter is provided with a frequency conversion controller, a phase shift controller and a mode switching module, the input end of the mode switching module is connected with an input voltage detection module, and when the input voltage of the full-bridge LCC resonant converter is lower than a preset threshold value, the phase shift controller is connected with the mode switching module. When the input voltage of the full-bridge LCC resonant converter is larger than or equal to a preset threshold value, the variable frequency controller controls a switching tube in the full-bridge LCC resonant converter to work through switching of the switch, and when the input voltage of the full-bridge LCC resonant converter is larger than or equal to the preset threshold value, the phase shift controller controls the switching tube in the full-bridge LCC resonant converter to work through switching of the switch. The full-bridge LLC resonant converter has the advantages that the variable-frequency controller and the phase-shift controller are arranged in the control circuit at the same time, switching of control modes can be achieved based on judgment of the magnitude of input voltage and through a simple switching circuit, the full-bridge LLC resonant converter has the advantages of variable-frequency control and phase-shift control, and the problems of voltage fluctuation and instability are solved.

The invention relates to the technical field of power conversion, in particular to a collaborative optimization control method, system and equipment of a multi-mode power conversion device and a storage medium. The method comprises the following steps: constructing a double-layer collaborative architecture by collecting multi-source heterogeneous operation parameters, obtaining a device operation state, power grid dynamic characteristics and environment change information, establishing a cross-level communication protocol to realize data synchronization, and outputting a real-time working condition feature vector; deploying a dynamic mode switching engine based on a real-time working condition feature vector, triggering multi-mode operation strategy reconstruction through a state transition probability model, constructing a self-adaptive switching mechanism comprising a parallel power supply mode, an island operation mode and a hybrid modulation mode, and establishing a composite fault response system to realize pre-diagnosis and grading disposal of an abnormal state; millisecond-level real-time control is implemented in the edge control layer to generate a pulse width modulation driving signal, multi-target global optimization is implemented in the cloud optimization layer to dynamically adjust an operation parameter combination, and closed-loop control is formed through bidirectional data interaction and strategy feedback.

The invention discloses a blockage prediction and self-adaptive regulation and control method for a forging press cleaning system. The method comprises the following steps: carrying out multi-sensor data acquisition based on a multi-sensor fusion mode; preprocessing the multi-sensor data to obtain a standardized data set; a deep learning model fusing the attention mechanism and multi-task learning is constructed, and the deep learning model takes an LSTM network as a basic framework and comprises a feature extraction module, an attention enhancement module and a multi-task learning module; training and optimizing the constructed deep learning model based on training data input; predicting a blockage trend, inputting the real-time fusion feature vector into a trained model, and outputting probability distribution of a blockage state and a blockage risk level by the model; and performing self-adaptive regulation and control, namely generating a self-adaptive regulation and control instruction, and controlling an execution mechanism to execute fan power adjustment or reverse blowing mode switching operation. The invention further discloses a corresponding system, electronic equipment and a computer readable storage medium.

The invention relates to an equipment control method and device, air conditioning equipment and a storage medium, and the equipment control method comprises the steps that audio data and a depth image of a space where first equipment is located are obtained; determining object information of an object in the space according to the audio data and the depth image; determining whether the object in the space meets a mode switching trigger condition or not according to the object information; and if it is determined that the object in the space meets the mode switching triggering condition, controlling the first device to be switched to a target working mode. According to the embodiment of the invention, through a multi-modal data fusion technology, the object information of the object in the space is accurately identified, and when the object in the space meets the mode switching trigger condition, the working mode of the first equipment is automatically switched, so that a personalized service mode is provided for the object in the space, and convenience is brought to a user.

The invention provides an FDP mode dynamic switching method and device of an SSD, computer equipment and a storage medium, and the method comprises the following steps: presetting a dynamic configuration table containing multi-mode parameters, and defining a physical block management rule by the dynamic configuration table; performing physical block resource initialization according to the dynamic configuration table, and generating an initial physical block index and a management structure matched with the current mode; in response to a mode switching instruction, based on a target mode parameter in the dynamic configuration table, cleaning user data and reconstructing a physical block index; updating a target mode identifier according to the reconstructed physical block index, and generating an encryption check code to verify a switching result; and based on a switching result, multiplexing the reconstructed physical block index to realize multi-mode cyclic switching. The technical problems that an existing FDP mode switching method of the SSD is complex in process, poor in fault tolerance and waste in resources are solved.

The embodiment of the invention provides a CSI (Channel State Information) performance monitoring report triggering method based on an AI / ML (Artificial Intelligence / Markup Language) model and a related device, and provides a channel environment adaptive cumulative sum CUSUM algorithm, the algorithm configures different CUSUM parameter sets for different states of UE (User Equipment) respectively, each CUSUM parameter set comprises a relaxation factor k and a decision threshold h, and the relaxation factor k and the decision threshold h correspond to each other. The values of k and h in different parameter sets are different; the UE can select the most matched CUSUM parameter according to the current state (or scene), so that a performance monitoring mechanism of the UE can intelligently balance the detection sensitivity and robustness. Moreover, according to the scheme, performance differences are accumulated through a CUSUM algorithm and then compared with a decision threshold value to judge whether a performance degradation report is triggered or not, instantaneous jitter of a channel is effectively filtered through accumulation of the performance differences, and it is ensured that the report is triggered only when the performance of the AI / ML model continuously declines. Therefore, the uplink signaling overhead caused by mistaken touch and the resource waste caused by subsequent network response (such as mode switching) are reduced.

The invention relates to the technical field of intelligent battery management, and discloses an intelligent battery hybrid parallel access system and a control method. According to the method, a battery pack is divided into a basic energy storage unit and a dynamic adjustment unit, a hybrid parallel access network is constructed based on a layered interaction architecture, unit voltage, loop current and temperature field distribution data are acquired through a multi-dimensional sensing module, feature extraction and weight fusion are performed by using a time sequence association processor, and a temperature field is obtained. And the input state decision module adjusts an access mode, and the two-way instruction analyzer executes mode switching. Meanwhile, real-time data and reference parameters are compared through a grading evaluation mechanism, after operation deviation is determined, an adjusting signal is transmitted through a feedback channel, an operation record is generated, and the response speed of the adjusting signal is in positive correlation with the deviation. The method comprises a hybrid architecture construction module, a multi-source data processing module and an operation deviation feedback module. According to the invention, efficient management and accurate control of the battery pack are realized, and the flexibility, stability and safety of the system are improved.

The invention relates to the technical field of chip detection, and discloses a high-reliability power supply chip circuit fault detection system, which comprises a built-in self-test architecture integrated in a low dropout regulator chip, and the built-in self-test architecture is provided with a first test mode and a second test mode which are switched based on a mode switching control circuit. The detection module is used for detecting key performance parameters of an error amplifier sub-circuit in a low dropout linear regulator chip, the detection module is used for measuring the direct current loop gain, the offset voltage, the common mode rejection ratio and the power supply ripple rejection ratio of the amplifier in the first test mode, and the detection module is used for measuring the unity gain bandwidth of the amplifier in the second test mode. According to the invention, through the design of a built-in self-test architecture and two test modes, abnormal states such as differential circuit imbalance and feedback loop fault can be identified in a bare chip stage, chips with poor performance are rejected in advance, and the LDO chip is ensured to reach a ppb-magnitude high reliability standard.

The invention discloses a hydropower station computer monitoring operator station fusion system, which comprises a controlled plant computer monitoring system and an operator station fusion system, and is characterized in that a fusion operator workstation is directly connected with a local switch and a controlled plant switch through double independent network interfaces; a man-machine interface module is fused to uniformly manage monitoring and control of cross-plant equipment; and the data server and the switch adopt a dual-computer redundancy architecture and STP / LACP link redundancy, and are combined with AES-256 encryption and instruction bidirectional verification to improve the security. The system fuses multi-source data through an improved adaptive weighted Kalman filtering algorithm, predicts an equipment state trend by using an LSTM model, supports local / controlled priority mode switching, and automatically triggers data caching and instruction degradation when a network is abnormal. An original system does not need to be transformed, through physical direct connection and logic fusion, the framework is simplified, the operation and maintenance cost is reduced, efficient integration and reliable redundancy of multi-plant monitoring functions are achieved, and the system is suitable for large hydropower stations and one-plant multi-station scenes.

The invention discloses a converter grid following-grid construction control mode smooth switching method suitable for wide-range source-grid state change. The method comprises the following steps: constructing a phase-locked loop control loop, a power outer loop control loop and a current inner loop control loop of a grid following type converter based on constant power control; constructing a voltage control loop, a phase control loop and a voltage and current double-closed-loop control loop of the network construction type converter based on the virtual synchronous generator VSG; calculating real-time output active power P and reactive power Q of the converter; constructing a voltage phase synchronization loop switching control loop and a current instruction tracking loop, and realizing smooth switching of dq-axis current instruction values output by a power outer loop of a following network type and a voltage outer loop of a construction network type; and the output dq-axis current instruction value is transmitted to a current inner loop to generate a final voltage signal, and a PWM wave is output to the converter through a modulation link. According to the method, a voltage phase synchronous switching compensation mechanism is adopted, a voltage amplitude and a phase signal are synchronously corrected in the mode switching process, and smooth change of an inner ring current reference signal is achieved.

The invention discloses a micro-grid parallel-separation operation switching method, which relates to the technical field of micro-grids and comprises the following steps: S1, collecting real-time state data of a micro-grid, calculating system instability and generating a stability state label; s2, generating an ultra-short-term prediction result, and calculating an energy buffer potential well parameter set and a virtual inertia coefficient in combination with a stability label; s3, triggering a mode switching instruction based on the stability state label, executing the energy buffer potential well parameter set and the virtual inertia coefficient to control the output of the energy storage system, and completing grid-connected and off-grid mode switching; s4, the harmonic content of the power grid is collected, and a protection constant value and reactive power output are dynamically adjusted according to the instability degree of the system; and S5, constructing a system support framework by constructing a hierarchical communication network, deploying a redundancy mechanism and adopting a staged implementation strategy. And through real-time stability evaluation, virtual inertia adjustment and ultra-short-term prediction optimization, the stability, the electric energy quality and the adaptive capacity in the grid-connected and off-grid switching process of the micro-grid are improved, and high reliability and flexibility of the system are ensured.

The invention discloses a ZIGBEE-based Wi-Fi module dormancy method, which comprises the following steps of: intelligently controlling dormancy and awakening of a Wi-Fi module through cooperative work of a ZIGBEE monitoring module, a Wi-Fi state control module, a data caching module, a dormancy mode switching module, an awakening control module, a self-adaptive parameter adjusting module and a fault monitoring module; and the power consumption management and cruising ability of the system is improved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may identify a transmission configuration indicator (TCI) state to use for communications with a network entity after switching between TCI modes (e.g., a joint TCI state mode and a separate TCI states mode for uplink transmission and downlink reception). A UE may autonomously switch between the TCI modes based on a trigger event, and may send an indication to a network entity of the trigger event prior to communicating. A UE may identify a TCI configuration with unconfigured power control parameters. The UE may determine a common power control configuration for communicating with a network entity based on applying a rule to the TCI configuration to determine the power control parameters.

The invention discloses an extended double-side asymmetric phase shift modulation method for a dual-active bridge converter, and belongs to the technical field of isolated high-frequency power conversion in a power electronic technology. According to the symmetric phase shift modulation method, under the condition that the voltage conversion ratio is not matched, the zero voltage switching range of a switching tube is small, the light load efficiency is low, and variable abrupt change can occur during mode switching to cause the uncontrollable oscillation problem of inductive current. The invention provides an extended double-side asymmetric phase shift modulation method for a dual-active bridge converter in a wide voltage range. A multi-objective optimization scheme is established based on the provided modulation method, and an approximation method is provided to solve a full power range analytical solution. A smooth switching method between modes is realized, and uncontrollable oscillation of inductive current can be effectively avoided. And the conversion efficiency in a full-power range is improved.