120results about How to "Power optimization" patented technology

The invention discloses an ocean communication on-demand service coverage method and device based on a low-orbit satellite hopping beam, and relates to the technical field of satellite communication, and the method comprises the steps: determining the position of each user terminal on the ocean through a low-orbit satellite; determining the number of beam positions and the position of each candidate beam position center point according to the position of each user terminal; based on the position of each user terminal and the position of the central point of each candidate beam position, taking the low-orbit satellites as relays for communication between each user terminal and a ground station, and constructing an optimization model of multi-low-orbit satellite joint hopping beam and user terminal transmitting power; and in each time slot, a layered heterogeneous multi-agent deep reinforcement learning method is adopted to solve optimization variables of the optimization model in a single time slot, the optimization variables comprise uplink transmitting power of the user terminal, a hopping beam pattern of a low-orbit satellite and sub-channel allocation, and the service coverage performance and the wireless resource utilization rate of ocean communication can be improved.

The invention provides an energy-saving navigation method and system for a combined fleet under intelligent control, and relates to the technical field of data processing, and the method comprises the steps: collecting environment data and ship state data of fleet navigation in real time, carrying out the preprocessing, removing redundant data, obtaining a navigation data set, and obtaining a navigation data set according to the navigation data set; calculating a channel influence value, a sea condition influence value and a wake flow influence value, determining a resistance influence value of each ship according to the values, calculating the required power of each ship, obtaining a required power data set, calculating the compensation power of each ship, analyzing the limitation of the channel on the compensation power of the ships, balancing the distribution of the compensation power among the ships, and obtaining an energy-saving scheme. And the compensation power of each ship is adjusted in real time, the navigation efficiency of the fleet is monitored, execution data are obtained, whether the navigation efficiency reaches preset efficiency or not is analyzed, the resistance influence value of each ship is updated, and a power distribution scheme is adjusted. The propulsive power of the fleet can be intelligently controlled, and energy consumption is saved.

The invention provides a method for synchronously extracting tea seed oil and tea saponin from tea seeds, and belongs to the technical field of active substance extraction. According to the method, the extraction rate and the purity are remarkably improved by finely regulating and controlling the extraction conditions. The specific composite oil extraction auxiliary agent and the ultrasonic-assisted extraction technology are adopted, and the power, time and solvent ratio are optimized, so that the extraction efficiency and the product quality of the tea seed oil and the tea saponin are superior to those of the tea seed oil and the tea saponin prepared by a traditional method. Experimental data prove that the extraction rate of the tea seed oil reaches 27.22%, and the purity of the tea seed oil reaches 99.66%; the extraction rate of the tea saponin is 21.85%, and the purity of the tea saponin reaches 96.50%. By increasing the utilization rate of the raw materials and reducing the production cost, the market competitiveness of the product is improved, the high-quality tea seed oil and tea saponin meet the requirements of the market for natural products, and the tea seed oil and tea saponin have wide application prospects.

The invention discloses a new energy automobile charging management system, and aims to improve the charging efficiency, prolong the service life of a battery and improve the user experience. The system comprises a battery monitoring module, a charging mode management module, an intelligent scheduling module, a remote control module, a safety protection module, a big data analysis module and a billing management module. The battery monitoring module collects data such as battery voltage, current and temperature in real time; the charging mode management module dynamically selects a fast, standard or slow charging mode according to the battery state and the user demand; the intelligent scheduling module optimizes a multi-vehicle charging sequence to realize reasonable resource allocation; the safety protection module provides overvoltage, overcurrent and temperature protection to ensure charging safety; the remote control module enables a user to monitor and adjust the charging state in real time. According to the invention, through intelligent charging management, resource configuration optimization, charging efficiency improvement, safety risk reduction in the charging process and battery life prolonging, convenient charging experience is provided for users.

The invention belongs to but is not limited to the technical field of wireless communication, and discloses an edge computing enabled air-ground network service deployment and resource allocation method and system, which is characterized in that application programs are strategically deployed and replaced on a UAV (Unmanned Aerial Vehicle), computing resources and power are reasonably allocated, and on the premise that the task execution efficiency and accuracy are ensured, the resource allocation efficiency is improved. The task execution success rate of the IoT equipment in the intelligent railway system is maximized; the mobile edge computing is introduced into the air-space-ground integrated network, the characteristics of flexible deployment and small transmission delay of the UAV in the air-based network are utilized, and the complexity and dynamism of a traffic system are effectively dealt with and the resource allocation and power control are optimized through collaborative optimization of task placement, cache replacement, a resource allocation strategy and the transmission power of IoT (Internet of Things) equipment. According to the method, a deep reinforcement learning framework is adopted, and an algorithm based on a multi-agent depth deterministic strategy gradient is provided to realize joint optimization of task placement, cache replacement, resource allocation and IoT equipment transmission power.

The invention provides a secondary battery and electric equipment, and belongs to the technical field of new energy. According to the invention, the first positive electrode active material layer and the second positive electrode active material layer with specific position sequence and specific lithium iron phosphate particle size distribution are arranged on the positive electrode current collector, so that the bottlenecks of quick charge performance and power performance of the secondary battery are broken, and the quick charge performance, the power performance, the cycle performance and the energy density are better balanced.

The invention relates to the technical field of power systems, and discloses a half-wavelength controllable tuning method under the background of a dual-carbon and novel power system. Comprising the following steps: system evaluation and demand analysis: collecting power grid information and fusing dual carbon and novel power system demands to determine a tuning target and key parameters; designing a half-wavelength tuning strategy, determining tuning parameters by using a particle swarm optimization algorithm, formulating the strategy, and performing simulation optimization; selecting and configuring half-wavelength controllable equipment, evaluating performance indexes, selecting equipment, and reasonably configuring, installing and debugging; system integration and communication network construction: integrating equipment and constructing a reliable communication network to ensure information transmission; tuning implementation and monitoring are carried out, a control system is developed to send instructions, data are collected and analyzed to evaluate performance, and optimization is fed back according to results. According to the invention, the stability and adaptability of the power grid are enhanced, the intelligent development is promoted, the resource configuration and structure are optimized, the safety and sustainable development are guaranteed, and the challenges of dual-carbon and novel power systems can be effectively handled.

The invention relates to the field of veterinary tool disinfection, in particular to a veterinary tool cleaning device for animal husbandry veterinarians, which comprises a tool rack, a cleaning tank is formed in the tool rack, a separation assembly is slidably mounted in the cleaning tank, a cavity is formed in the inner bottom wall of the cleaning tank, and an overturning assembly is fixedly mounted in the cavity. An auxiliary assembly is slidably mounted on the side wall of the partition assembly. According to the veterinary tool cleaning device, the partition assembly is arranged, the interior of the cleaning tank is divided into multiple sets of areas through the frame body and the cross-shaped partition plate, each area is internally provided with a pressure sensor and a containing plate, different veterinary tools are separately placed on the containing plates in the areas, and the pressure sensors in the areas are used for separately placing the veterinary tools on the containing plates in the areas; the weight of the veterinary tool is detected, so that the power of the ultrasonic cleaner is correspondingly adjusted according to the weight of the veterinary tool in each area, the power utilization of the ultrasonic cleaner is optimized, and the energy-saving effect is achieved.

The invention relates to a two-stage three-level high-voltage battery charging and discharging device and a control method. The two-stage three-level high-voltage battery charging and discharging device comprises an ACDC circuit connected with a power grid and used for converting alternating current into direct current; the DCDC circuit comprises a first capacitor, a second capacitor, a third capacitor and a first flying capacitor control circuit; the anode of the first capacitor is connected to the first flying capacitor control circuit through a first connection point, and the cathode of the first capacitor is connected with the anode of the second capacitor; the negative electrode of the second capacitor is connected to the first flying capacitor control circuit through a third connection point; the positive electrode of the third capacitor is connected to the first flying capacitor control circuit through a fourth connection point, and the negative electrode of the third capacitor is connected to the first flying capacitor control circuit through a fifth connection point; the first flying capacitor control circuit is connected to the ACDC circuit through a second connection point; and the LC filter circuit is connected with the DCDC circuit. The system stability and reliability are enhanced, and the test requirements of the high-voltage battery are met.

The invention discloses a high-power electromagnetic detection transmitter direct-current power supply topology and a model prediction-based control method thereof, which are characterized in that the direct-current power supply topology adopts a mode of combining four converter modules IPOS (input parallel connection and output series connection), and the modules adopt a Buck-LLC two-stage converter cascade structure. Each module is independently controlled through a model prediction control method, a discrete mathematical model of the Buck-LLC two-stage converter is constructed, a control time domain M and a prediction time domain P are introduced, a prediction output equation and a value function are established, the optimal duty ratio of a driving signal of an equivalent circuit switching tube of the Buck-LLC two-stage converter is obtained according to the value function, and the optimal duty ratio of the driving signal of the equivalent circuit switching tube of the Buck-LLC two-stage converter is calculated. The rear-stage LLC circuit works at a resonant frequency point in an open-loop mode. According to the invention, soft switching, low-voltage input and high-voltage high-power output are realized, and quick response is made to load change, so that the efficiency, the stability and the response speed of the system are improved.

The invention discloses a combined furnace heat supply control system based on the Internet of Things, and relates to the technical field of intelligent control, the system comprises an acquisition module, an analysis module, a compensation module and a control module, power stages are divided, the power value of each power stage is set, the difference value of actual heat and standard heat is calculated, a heat compensation model is constructed, and compensation power is calculated. Actual power is obtained according to the compensation power, power distribution is carried out on the sub-devices, and the completion state is displayed. Through the recipe accurate matching processing method, the cooking accuracy is improved, the cooking time is divided into different power stages, the energy utilization efficiency is improved, the actual power can be accurately adjusted, the overall energy efficiency is improved, the power distribution of the sub-devices is automatically adjusted, and the completion state is displayed; the user can know the cooking progress in real time, the intelligent level of the system is improved, and efficient, energy-saving and user-friendly cooking experience is achieved.

The invention discloses a wireless resource allocation method based on downlink time delay for a GEO satellite communication system, and the method comprises the steps: calculating a satellite antenna gain and a channel coefficient based on an OFDMA model of downlink transmission of a multi-beam GEO satellite, and constructing a shortest downloading time problem model based on a user data demand by taking the total data downloading time of all users as a target function; solving by a resource allocation algorithm based on a convex difference relaxation SCA algorithm aiming at the shortest downloading time problem model based on the user data demand; in the solving process of the resource allocation algorithm based on the convex difference relaxation SCA algorithm, the initial value of the variable is set based on the initial value allocation algorithm based on the demand weight. According to the method, the initial subcarriers are allocated by using the algorithm based on the demand weight, and the carrier and power are optimized by proposing the low-complexity SCA algorithm based on convex difference relaxation, so that the minimum requirement of downlink data downloading of the system can be better met under the low complexity.

The present invention provides a surface acoustic wave resonator and a manufacturing method thereof, and a surface acoustic wave filter, which have high quality factor Q, high electromechanical coupling coefficient, good TCF characteristics and power resistance. The surface acoustic wave resonator of the present invention comprises: a composite piezoelectric substrate, the composite piezoelectric substrate having: an LGS base layer, the LGS base layer is formed of single crystal LGS, and a GaN piezoelectric layer formed on the LGS base layer, the thickness of the GaN piezoelectric layer does not exceed 20 times the wavelength of the acoustic wave propagating in the surface acoustic wave resonator; and interdigital electrodes formed on the GaN piezoelectric layer.

The invention relates to the technical field of power distribution network voltage regulation, in particular to a control method and device for electric vehicle charging and discharging stations to participate in power distribution network voltage regulation. And establishing and solving an optimization model to obtain the action of the reactive power compensation device, an electric vehicle charging and discharging station guidance power curve and a power distribution network operation state, and calculating droop control parameters. In the intra-day stage, actual data are obtained according to the results, the active power of the electric vehicle charging and discharging station is updated in a rolling mode, local reactive voltage droop control is conducted according to droop control parameters, and reactive power output of the electric vehicle charging station is determined based on the calculated reactive power increment. Therefore, the problems that in the related technology, the control capacity of the electric vehicle charging equipment on reactive power is not considered, only the reactive reference power is solved, and self-adaptive adjustment control in real-time control is not considered, so that the flexibility and the supporting capacity of the charging equipment are wasted are solved.

The utility model discloses an LLC magnetic integrated transformer, and aims to improve the integration level, the performance and the reliability. The transformer comprises a winding support, an upper magnetic core and a lower magnetic core which are symmetrically arranged, and a placing magnetic core fixed in a through hole of the winding support. The through hole is divided into a first containing groove and a second containing groove, the magnetic core is placed in the first containing groove, and the side edge protruding columns of the upper magnetic core and the lower magnetic core are arranged in the second containing groove. And a first air gap and a second air gap are respectively arranged between the magnetic core and the side edge convex columns and between the side edge convex columns and are used for adjusting magnetic resistance and optimizing performance.

The invention belongs to the field of laser, and discloses an on-chip tunable femtosecond light source based on an integrated electro-optical frequency comb, which comprises an intensity modulator (9), a first phase modulator (10) and a second phase modulator (11) which are integrated on the same chip and are connected in sequence, the three paths of radio frequency driving signals respectively provide radio frequency driving signals for the intensity modulator, the first phase modulator and the second phase modulator; the intensity modulator performs intensity modulation on the wavelength-tunable continuous optical signal to generate a flat-topped optical pulse sequence; the first phase modulator and the second phase modulator are used for performing quadratic phase modulation on the flat-topped optical pulse sequence to generate a broadband electro-optical frequency comb; the dispersion optical fiber is used for carrying out pulse compression on the electro-optical frequency comb so as to generate femtosecond optical pulses. Compared with an existing femtosecond pulse light source generation system, the femtosecond pulse light source generation system has the advantages of being simple in structure, high in integration level, tunable in pulse width and repetition frequency, low in cost and the like.

The present application relates to a training method, device and computer equipment for a power grid section control model. The method includes: obtaining section control model training sample data corresponding to the target power grid, the power grid section control model to be trained and the power grid section optimization network; inputting the section control model training sample data into the power grid section control model to be trained to obtain the initial power grid section control information corresponding to the target power grid; inputting the initial power grid section control information into the power grid section optimization network to obtain the optimized power grid section control information; using the optimized power grid section control information to train the power grid section control model to be trained, until the disturbance of the initial power grid section control information is less than the disturbance threshold, and the trained power grid section control model is obtained. The use of this method can achieve more intelligent and flexible power grid management, thereby improving the response speed and adaptability of the power system, and further improving the stability of the power system.

The invention provides a three-phase electromagnetic coupling mechanism and a wireless power transmission system, and relates to the technical field of wireless power transmission. The three-phase electromagnetic coupling mechanism comprises a magnetic core layer, an A-phase coil, a B-phase coil and a C-phase coil, wherein the A-phase coil, the B-phase coil and the C-phase coil are arranged on the magnetic core layer in a stacked mode and form a three-layer stacked structure. The A-phase coil, the B-phase coil and the C-phase coil respectively comprise two coil sections which are electrically connected, each coil section covers a 180-degree corresponding area in the circumferential direction of the magnetic core layer, and orthographic projections of the two coil sections of each phase coil on the magnetic core layer are in central symmetry; and each layer of the three-layer laminated structure is provided with coil parts of coil sections of at least two different-phase coils. Multi-layer participation and symmetrical coverage of the three-phase coils are realized in the three-layer laminated structure, and each layer comprises different-phase coil sections, so that the problems of low space utilization rate and non-uniform magnetic field of a planar structure are effectively solved, and the magnetic coupling stability and the power transmission performance are improved.

The invention discloses a visible light-based multi-user MIMO-OFDMA (Multiple Input Multiple Output-Orthogonal Frequency Division Multiple Access) communication resource allocation method and a storage medium, an MIMO technology improves the capacity of a system in a spatial domain on the basis of not occupying more frequency domain resources, in an MIMO-VLC (Visible Light Communication) system, user dimensions are further introduced, an OFDMA technology is used, and each user transmits information on different frequency bands. On the basis, an LED low-pass model is introduced, dimension reduction is carried out on a visible light-based multi-user MIMO-OFDMA three-dimensional algorithm, and then the system is solved by using a Lagrange algorithm according to the low-pass response of each user in different frequency bands of an LED low-pass channel. According to the method, the optimal value of the power of each user can be adaptively solved in the frequency domain according to the measured channel response of each user, and finally, the optimal solution of the rate of using the OFDMA technology can be obtained, so that the performance of the system is further improved.

The invention discloses an intelligent energy management method and system, and relates to the technical field of energy management. The method comprises the steps of obtaining second weather data based on first weather data and historical weather data; obtaining a second average electric quantity based on the first average electric quantity, the first weather data and the second weather data; when the second electric quantity is larger than a preset electric quantity threshold value, the power of the solar power supply street lamps in the preset area is adjusted based on the area condition information, the first average electric quantity and the second average electric quantity; and when the second electric quantity is not greater than a preset electric quantity threshold value, adjusting the power of the solar power supply street lamp in the preset area based on the area condition information, the first weather data, the second weather data, the first average electric quantity and the second electric quantity. According to the technical scheme, the power of the solar power supply street lamp can be accurately adjusted, and therefore the energy management efficiency of the solar power supply street lamp is improved.

A portable storage device and a method of operating the same are provided. The portable storage device includes a nonvolatile memory device for storing data, a storage controller, and a bridge chip set. The bridge chip set is connected to a first connector of a host through a cable assembly, detects a resistance of the cable assembly, provides USB type information of the first connector to the storage controller based on the detected resistance, and provides USB version information associated with an established USB connection to the storage controller after the USB connection is established with the host. The storage controller selects one of a plurality of initialization modes based on the USB type information and the USB version information, selects a clock signal having a frequency that is less than or equal to an available maximum power level, and performs an initialization operation based on the selected clock signal within an internal reference time interval.

The invention discloses a tunable dual-wavelength laser output device, and belongs to the technical field of semiconductor laser. According to the tunable dual-wavelength laser output device, a light beam fast and slow axis collimation system converts a light beam emitted by a blue laser single tube into collimated light; the dual-wavelength light splitting wide compression system comprises two light beam reflectors, two beam expanding subsystems, a transmission grating and two plane reflectors. A part of collimated light intercepted by the light beam reflecting mirror enters the beam expanding subsystem, and the remaining collimated light enters the laser output characteristic measuring system; the transmission grating diffracts the expanded light beam and outputs the light beam to the plane mirror; the plane mirror reflects the vertically incident laser to enable the laser to return along an original light path so as to enable the blue laser single tube to output two kinds of laser with specific wavelengths; the controller adjusts the angle of the plane mirror so as to enable the plane mirror to reflect laser with different wavelengths; the laser output characteristic measurement system measures the output power and spectral characteristics of the two lasers with different wavelengths; the controller draws a gain spectrum of a laser working band.

The invention discloses a method for liquid phase exfoliation of two-dimensional porphyrin covalent organic framework nanosheets by protonation strategy, wherein the two-dimensional porphyrin covalent organic framework of bulk material is placed in a methanesulfonic acid aqueous solution for water bath ultrasonic liquid phase exfoliation, and then the dispersion liquid is centrifuged and washed and dried to obtain the two-dimensional porphyrin covalent organic framework nanosheets, wherein the two-dimensional porphyrin covalent organic framework of bulk material is H 2 P‑Bph‑COF, TAPP‑H, TAPP‑Br, TAPP‑OMe or TAPP‑OH. The present invention has a simple operation process and can prepare a few-layer two-dimensional porphyrin covalent organic framework nanosheets at low cost and on a large scale. The yield of the two-dimensional porphyrin covalent organic framework nanosheets exfoliated by liquid phase under optimal conditions is as high as 63.1%, and the proportion of nanosheets with a thickness of less than 2 nm is as high as 97.1%.

The present invention relates to a thermoelectric generator, and more specifically, to a thermoelectric generator that acts on the thermoelectric properties of a gradient bandgap structure, i.e., the properties of a gradient bandgap semiconductor with alternating dopants and the properties of a heterojunction therebetween, and the properties of an intrinsic semiconductor material, and can be used in particular for powering household appliances and charging power supply elements of portable electronic devices. The semiconductor thermoelectric generator of the present invention includes a semiconductor component configured to be able to extract heat from the surrounding environment, the semiconductor component comprising at least one pair of interconnected gradient bandgap semiconductors, wherein the wide bandgap side of at least one gradient bandgap semiconductor is connected to the narrow bandgap side of at least one other gradient bandgap semiconductor. The junction between the gradient bandgap semiconductors is configured using an intrinsic semiconductor material, the gradient bandgap semiconductors are configured using alternating dopants, wherein the wide bandgap sides of the paired connected gradient bandgap semiconductors are doped with acceptor impurities. The technical achievement of the present invention is to improve the efficiency, power and output of the thermoelectric generator and expand the functionality of the thermoelectric generator.

The invention belongs to the field of radar signal processing, and discloses a joint resource scheduling and transmission zeroing method and system based on reinforcement learning. According to the method, in a scene that a plurality of transmitting nodes and a plurality of receiving nodes cooperatively execute a target tracking task in a receiving and transmitting separated MIMO radar network, aiming at the problem that a traditional radar resource allocation method lacks dynamic real-time adjustment capability and lacks comprehensive consideration on long-term performance of radar system resources, firstly, the dynamic real-time adjustment capability and the comprehensive consideration on the long-term performance of the radar system resources are considered; according to the method, joint optimization is carried out by considering transmission zero setting and resource scheduling, emission waveforms, residence time and power distribution of nodes are taken as optimization variables, then, cumulative signal-to-noise ratio constraints and the low interception probability of a whole task are considered at the same time, an optimization model for minimizing the interception probability is provided, and finally, for the optimization model, the optimization model is optimized. An algorithm based on reinforcement learning is adopted for solving, specifically, a PPO algorithm is adopted, and finally the low interception probability and the resource management efficiency are improved.

The invention provides a vehicle multi-power-source coordination control method and system, a terminal and a medium, and belongs to the technical field of vehicle multi-power-source coordination control. The method comprises the steps of obtaining current driving state information of a vehicle; obtaining a preset model prediction controller; the current driving state information is input into a preset model prediction controller for prediction processing, and current state information of the vehicle and prediction state information of the next moment are obtained; and controlling the vehicle according to the current state information and the control information corresponding to the predicted state information at the next moment. The technical problem that how to effectively integrate and optimize power output from different power sources in vehicle multi-power coordination control in the prior art so as to ensure that the vehicle can achieve the optimal performance under various driving conditions is solved.

The invention relates to the field of radio frequency antennas, in particular to an ultrathin RFID sensing tag antenna for new energy battery temperature detection. The tag antenna in the design is of a complete plane structure so as to be convenient to process, in the practical application process, due to the flexible and ultra-thin characteristics, the tag antenna can be inserted between two adjacent batteries in a new energy battery pack for temperature monitoring and sensing, the tag antenna is tightly attached to the batteries so that the tag antenna cannot occupy too large space, and the tag antenna is not prone to damage due to the fact that the tag antenna is of a slotted structure. Good conjugate impedance matching between the antenna and the chip is realized, and the antenna has wide bandwidth. The method has remarkable technical advantages and application prospects in the field of monitoring and sensing of new energy batteries, and further development of related safety monitoring and sensing technologies can be promoted.

The utility model discloses a full -automatic low energy consumption small size aluminum tank formula ice maker, detachable installation is removed behind the cover formula on the side of control box, the one side fixedly connected with aluminum ice making tank of control box away from behind the cover, the rotation of being provided with push out lever in aluminum ice making tank, the one end of push out lever is connected with gear motor through deceleration subassembly and stretches into control box, the lateral surface fixed connection of aluminum ice making tank has peeler, the bottom of aluminum ice making tank is paved with graphene heating piece, and graphene heating piece is pressed in the bottom of aluminum ice making tank through the heating piece protection platen. Through setting up graphene heating piece in the bottom of aluminum ice making tank, realize the even heating of aluminum ice making tank bottom, then make ice block and aluminum ice making tank inner groove surface contact surface melt, thereby push out ice making tank only needs smaller force, can optimize the volume and power of drive motor, reduce the power consumption when using ice maker, reduce the use cost of ice maker.

The invention discloses a communication-perception-control combined design method for an unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: based on a state-space equation of an unmanned aerial vehicle system, unmanned aerial vehicle motor control quantity and transmitting power constraints, system initial state constraints, unmanned aerial vehicle safe flight constraints, and communication service quality constraints; an unmanned aerial vehicle communication-perception-control joint optimization problem is constructed according to the residual energy constraint when the unmanned aerial vehicle completes the task and the unmanned aerial vehicle flight terminal position constraint; based on time scale transformation, control variable parameterization and precise penalty function constraint processing, an unmanned aerial vehicle communication-perception-control joint optimization problem is converted into a nonlinear programming problem; and solving the nonlinear programming problem based on a gradient method to obtain a control strategy of the unmanned aerial vehicle. The method is more efficient and practical when a complex unmanned aerial vehicle control system is processed, and can effectively guide the unmanned aerial vehicle to complete a sensing task for a non-cooperative target especially in a dynamically changing environment.

The invention provides a secondary battery and an electronic device. The secondary battery comprises a positive pole piece and a negative pole piece, the positive pole piece comprises a positive pole current collector and a positive pole material layer arranged on at least one surface of the positive pole current collector, and the negative pole piece comprises a negative pole current collector and a negative pole material layer arranged on at least one surface of the negative pole current collector; the positive electrode material layer and the negative electrode material layer meet the conditions that p1 is 40%-50%, p2 is 40%-50%, and the ratio of p1 to p2 is (0.8-1): 1; t1 is 15-70 [mu] m, t2 is 15-70 [mu] m, and the ratio of t1 to t2 is (1.3-2): 1; p1 is the porosity of the positive electrode material layer, p2 is the porosity of the negative electrode material layer, t1 is the single-side thickness of the positive electrode material layer, and t2 is the single-side thickness of the negative electrode material layer. The secondary battery disclosed by the invention has relatively high rate capacity retention ratio and low-temperature capacity retention ratio, and the power performance of the secondary battery is improved.