48results about How to "Avoid excessive discharge" patented technology

The invention relates to the technical field of energy storage EMS, in particular to an energy storage EMS system SOC balance control system and method based on artificial intelligence, and the system comprises a monitoring system which is used for collecting the voltage, current, temperature and SOC parameters of a battery unit; the balance control system is used for carrying out balance control on the SOC of each battery unit in the battery pack through a reinforcement learning algorithm RStudy; the real-time regulation and control system is used for realizing real-time regulation of an SOC balance control strategy through a random forest algorithm; and the fault diagnosis and prevention system performs fault diagnosis through a random forest algorithm and performs prevention by adjusting a charging and discharging strategy. According to the design of the invention, a reinforcement learning algorithm RStudy is adopted to realize dynamic adjustment of the SOC of the battery unit, and the reinforcement learning algorithm RStudy can automatically learn an optimal decision strategy through interaction with the environment; the real-time reward and the long-term target can be balanced, excessive discharging or charging is avoided, battery aging is reduced, the optimal decision can be made in an uncertain environment, and the robustness and adaptability of the system are improved.

The invention relates to the technical field of battery management, in particular to a decommissioned battery active equalization method and online detection device based on a direct current converter and time division multiplexing, and the method comprises the following steps: S1, collecting the health state, capacity and historical use data of a main control chip and a sensor; s2, classifying the battery pack through a preset classification algorithm; s3, dynamically adjusting voltage output; s4, adjusting parameters of the switching network based on the voltage in the S3; s5, short pulse current is applied to the battery pack, and current flowing in the equalization process is controlled; s6, automatically adjusting the working parameters of the DC converter and the configuration of the switching network; and S7, automatically adjusting the parameters in the steps S3 to S6 according to an evaluation result. According to the invention, by implementing the active pulse modulation technology and real-time battery health monitoring, the energy efficiency and safety of the retired battery in secondary utilization are remarkably improved, and meanwhile, the battery maintenance is optimized and the service life of the battery is prolonged through the intelligent management system.

The invention provides a method and device for optimizing the design of a hybrid power system of an aircraft. The method provided by the invention comprises the following steps: aiming at a pre-designed hybrid power system, constructing a simulation model corresponding to the hybrid power system; determining a required power range of a power system according to the flight envelope of the aircraft, and determining load required power of the aircraft under multiple types of preset typical working conditions according to the required power range; determining a working mode of the aircraft under the load demand power according to the load demand power under each type of preset typical working conditions and current and preset working mode determination rules; simulating the working mode by using the simulation model, and obtaining a simulation result; wherein the simulation result comprises operation parameters corresponding to each model; and according to a simulation result, providing an optimization suggestion for a pre-designed aircraft hybrid power system. The method provided by the invention is used for effectively optimizing the design of the hybrid power system of the aircraft and improving the performance and reliability of the hybrid power system.

The invention belongs to the technical field of battery parameter estimation, and particularly relates to a battery SOC estimation method and device based on Kalman filtering, equipment and a medium. According to the scheme provided by the invention, aiming at the problems of small error and large influence caused by the voltage plateau period of the battery when SOC estimation is carried out on the lithium iron phosphate battery by a traditional Kalman filtering method, on the basis of a Kalman filtering algorithm, the improved formula is introduced, and the value of the gain G in the voltage plateau period in the improved formula is determined, so that the SOC estimation accuracy of the lithium iron phosphate battery is improved. The SOC estimation precision of the lithium iron phosphate battery is effectively improved, the maximum effectiveness of the battery can be ensured through accurate SOC estimation, the cost is reduced, and resource waste is prevented.

The invention provides an intelligent charging method and system for a charging and swapping cabinet, and the method comprises the steps: extracting the opening frequency of the charging and swapping cabinet and the swapping frequency of each battery pack from the historical swapping record of the charging and swapping cabinet, and determining the electricity load of the charging and swapping cabinet through the opening frequency and the charging performance in each battery state. Determining the charging priority of each battery pack according to the electricity load and the battery replacement frequency of each battery pack; extracting load characteristics of the charging and swapping cabinet from all the battery states based on a mapping relation among the battery packs in the charging and swapping cabinet, and determining a load balance degree of charging power distribution in the charging and swapping cabinet according to the load characteristics and the multi-path charging power; and according to the load balance degree and the charging priority of each battery pack, dynamically adjusting the charging power of each battery pack in the charging and swapping cabinet in the subsequent charging process. Based on the scheme, the power distribution efficiency in the charging process can be improved.

The invention relates to the technical field of ship task scheduling, and discloses a pure electric unmanned ship battery safety management control method, which comprises the following steps: step S101, collecting historical task data, constructing and training a random forest model, and obtaining required electric quantity of M tasks; s102, collecting second task feature data of the M tasks and ship feature data of the U ships; s103, constructing a fleet task atlas, constructing an adaptation degree prediction model according to the fleet task atlas, and outputting the adaptation degree between the ship and the task; and step S104, generating a distribution scheme according to the adaptation degree prediction model in combination with an improved geyser optimization algorithm, wherein the distribution scheme represents that the task is distributed to the ship. According to the method, the optimal allocation scheme is automatically generated by constructing the adaptation degree prediction model and combining the improved geyser optimization algorithm, maximum coverage and reasonable allocation of task execution are achieved, and the energy utilization efficiency is improved.

The invention relates to the technical field of power control of hybrid power vehicle models, and discloses a running starting method and system for a tandem type hybrid power vehicle model under a full-load working condition. According to the running starting method for the tandem type hybrid power vehicle under the full-load working condition, by obtaining the result that the maximum instantaneous available power of the battery and the current actual power of the driving motor are smaller, the power limit of the driving motor can be dynamically adjusted, and it is ensured that the driving motor operates on the premise that the power supply capacity of the battery is not exceeded; the problem that the power of the driving motor is insufficient, the torque of the driving motor falls into a pit and the like due to the fact that the available power of the battery is additionally occupied when the starting motor is started is solved, and meanwhile the problem of unexpected acceleration caused by the fact that the maximum instantaneous available power of the battery is too large can be solved. The torque limit of the driving motor is calculated according to the final power limit of the driving motor, the torque output of the driving motor is adjusted, and it can be ensured that the vehicle can keep the optimal energy utilization state under various working conditions.

The present invention relates to a low leakage battery pack series circuit with temperature and pressure measuring functions, comprising a first battery pack, a second battery pack, a first pressure measuring module connected in series between the positive electrode of the first battery pack and a first input pin of a controller, a second pressure measuring module connected in series between the positive electrode of the second battery pack and the second input pin of the controller, a first temperature measuring module connected in series between the negative electrode of the first battery pack and a third input pin of the controller, and a second temperature measuring module connected in series between the negative electrode of the second battery pack and a fourth input pin of the controller, wherein a first switch controlled by the controller is connected in series in the first pressure measuring module, a second switch controlled by the controller is connected in series in the second pressure measuring module, and a third switch controlled by the controller is connected in series in the first temperature measuring module, and the controller controls the start or shut down of the first pressure measuring module, the second pressure measuring module, and the first temperature measuring module through the first switch, the second switch, and the third switch, respectively.

The present invention discloses a 5G base station differentiated backup power intelligent control device, including a status monitoring unit, a data acquisition unit, a single-chip microcomputer, an execution unit, a communication module and a power conversion unit. The data acquisition unit is electrically connected to the single-chip microcomputer for collecting power supply information of each user, the status monitoring unit is electrically connected to the single-chip microcomputer for real-time monitoring of the mains, oil engine and DC power generation unit, the communication module is electrically connected to the single-chip microcomputer for mutual communication with the operation and maintenance platform, and the single-chip microcomputer is used for data processing, status judgment, communication processing, remote and local control. The present invention has a user-specific backup power control function, can monitor the total input and the power distribution parameters and metering functions of each user in real time, perform differentiated backup power according to different user needs, and reduce unnecessary energy loss.

The invention discloses an energy storage system adaptive power distribution control method and system considering SOC, relates to the technical field of energy storage system power distribution control, and solves the problems of unreasonable power distribution and unbalanced charge state control between energy storage units in an existing direct current power supply system. Comprising the following steps: acquiring a charge-discharge state and a charge state of each energy storage unit in the energy storage system; calculating a first droop coefficient of each energy storage unit according to the charge-discharge state and the charge state of each energy storage unit; calculating a system charge mean value according to the charge states of all the energy storage units in the energy storage system, and calculating an equalization factor of each energy storage unit according to the charge-discharge state, the charge state and the system charge mean value of each energy storage unit; according to the first droop coefficient and the equalization factor of each energy storage unit, calculating a second droop coefficient of each energy storage unit, and guiding power distribution of each energy storage unit; through SOC and equalization factor optimization droop coefficient, reasonable power distribution and equalization control are realized.

The invention discloses an electric vehicle V2G discharge cooperative control method and system based on a dynamic threshold value, and relates to the technical field of electric vehicle and intelligent power grid interaction, and the method comprises the steps: carrying out the data collection from a sensor and a data collection terminal of a power grid dispatching center, an electric vehicle-mounted terminal, and a charging pile communication module; the method comprises the following steps: collecting data of an electric vehicle, preprocessing the collected data, constructing a multi-dimensional dynamic threshold model based on a preprocessed data set, calculating three types of core thresholds, dividing an electric vehicle cluster and distributing discharge tasks after calculation, performing hierarchical cooperative discharge control execution, and performing multi-target optimization and threshold dynamic correction. And monitoring and terminating the discharge process according to the results of optimization and threshold correction. According to the control method, the state of the power grid is adapted in real time through the dynamic threshold value, the discharge response time in an emergency scene is effectively shortened, the frequency fluctuation of the power grid is effectively controlled, the voltage fluctuation is also effectively controlled, and the stability of the power grid is improved compared with the prior art.

The invention provides a control method and system for a hydrogen power battery forklift. The method comprises the steps that the driving road condition and the current acceleration of the hydrogen power battery forklift are obtained; adjusting the output power of the motor according to the driving road of the hydrogen power battery forklift and the current acceleration; an output power prediction model is constructed according to the driving data of the hydrogen power battery forklift truck under different road conditions, and the hydrogen power battery forklift truck adjusts the working state of a battery stack of the hydrogen power battery forklift truck according to the output power prediction model; and adjusting the working state of the cell stack, and performing early warning according to the predicted output power and the actual output power. Through the method and the corresponding system, energy waste is reduced, and the overall energy utilization efficiency is improved.

The invention discloses a battery over-discharge protection circuit, comprising: a first diode, a second diode, a third diode, a comparison circuit, a switch circuit and a first switch, wherein the first diode is located between a power input terminal and a power output terminal of a device, the third diode is connected between the first terminal of the comparison circuit and the power input terminal of the device, the second terminal of the comparison circuit and the power output terminal of the device are connected with the second diode, the third terminal of the comparison circuit is connected with the first terminal of the switch circuit, the second terminal of the switch circuit is connected to the output terminal of the battery through the first switch, the third terminal of the switch circuit is connected to the power output terminal of the device after passing through the second diode, and the comparison circuit controls the switch circuit to disconnect after determining that the voltage of the power input terminal is less than a preset voltage threshold. The comparison circuit compares the voltage of the power input terminal to achieve the effect of triggering battery discharge and over-discharge detection, avoids excessive discharge of the battery, reduces battery loss, and improves the service life of the battery.

The embodiment of the invention belongs to the technical field of battery management and unmanned ship energy management, and relates to a battery management method and device, computer equipment and a storage medium, and the method comprises the steps: receiving real-time state data, collected by a sensor network in real time, of a target battery; performing preprocessing operation on the real-time state data to obtain preprocessed state data; performing feature extraction operation on the preprocessed state data to obtain feature extraction data; calling an LSTM model, and inputting the feature extraction data into the LSTM model for power consumption prediction operation to obtain a real-time power consumption prediction result; and dynamically adjusting the discharge depth and the discharge rate of the target battery according to the real-time power consumption prediction result. According to the method, the LSTM model and rule correction are combined, so that the dynamic judgment and strategy optimization of the deep discharge condition of the battery are realized, and the accuracy and reliability of battery management can be remarkably improved in a complex environment.

The invention is suitable for the technical field of medical equipment, and provides a power management system and method for ultrasonic equipment, and the system comprises a main control module, a charging selection module, a dynamic balance module, a discharging selection module, and a load. The inputs of the charging selection module and the discharging selection module are respectively connected with an adapter power supply and a battery bus power supply output by the dynamic balancing module, the output of the charging selection module is connected with the input of the dynamic balancing module, and the output of the discharging selection module is connected with a load discharging control module of a load; the dynamic equalization module comprises a plurality of battery packs formed by connecting a plurality of batteries in parallel, a charging equalization module and a discharging equalization module; the charging equalization module comprises charging control units corresponding to the batteries. The discharging equalization module comprises a discharging control unit, a power conversion unit and an equalization unit. According to the invention, the problems that the existing system cannot realize discharge equalization and cannot realize self-equalization when the power supply is connected without an external adapter are solved.

The LED emergency power supply comprises an LED light source, a driving power supply and an emergency power supply, the output end of the driving power supply is connected with the LED light source, the emergency power supply comprises a wiring port, a battery pack and an inverter unit, the wiring port comprises an input connecting end, an output connecting end and a control connecting end, a mains supply is connected with one end of the input connecting end, and the other end of the input connecting end is connected with the inverter unit. The other end of the input connection end is connected with the input end of the inversion unit, the output end of the inversion unit is connected with the input end of the battery pack, the output end of the battery pack is connected with one end of the output connection end, and the other end of the output connection end is connected with the input end of the driving power supply. And emergency electric energy is provided for the LED light source. Through the arrangement of the wiring port, the emergency power supply can adapt to various built-in LED lamps integrated with the driving power supply in the market, so that when the LED emergency lamp is maintained or upgraded, the emergency power supply does not need to be additionally changed, a user can conveniently select LED lamps of different specifications and models according to requirements, the maintenance cost is reduced, and the compatibility and flexibility of the emergency power supply are improved.

The invention discloses a parallel battery pack charging and discharging control method and system, which are used for controlling the charging and discharging states of a plurality of battery packs connected in parallel, and the method comprises the following steps: when any battery pack is in a charging state or a discharging state, controlling a charging switch and a discharging switch to which the battery pack belongs to to be in a conducting state at the same time; when any battery pack is in a charging protection state, controlling a charging switch to which the battery pack belongs to be in an off state, and controlling the state of the charging switch to which the battery pack belongs according to the difference value between the total battery voltage and the bus voltage of the battery pack or the discharging current of the battery pack; and when any battery pack is in a discharge protection state, controlling the discharge switch to which the battery pack belongs to be in an off state, and controlling the state of the discharge switch to which the battery pack belongs according to a difference value between the bus voltage and the total battery voltage of the battery pack. According to the control method, automatic equalization and simultaneous charging or discharging of the plurality of battery packs connected in parallel in the power supply loop can be ensured without a communication bus.

A power conversion device according to an embodiment of the present invention comprises: a power conversion unit that converts and outputs input power; an auxiliary power unit receiving power from a first input / output terminal of the power conversion unit to generate auxiliary power of the power conversion unit; and a circuit breaker connected to the second input / output terminal of the power conversion unit, in which the auxiliary power unit operates when the circuit breaker is turned on and stops operating when the circuit breaker is turned off.

The invention provides a battery management method based on SOC dynamic correction and charging current limiting, and relates to the technical field of battery management, and the method comprises the steps: obtaining the real-time voltage and real-time current of a monitored battery; calculating the real-time battery electric quantity of the monitoring battery according to the real-time current; if it is determined that the working state is a charging state and the real-time battery electric quantity reaches a preset first electric quantity, the tail end charging current of the monitoring battery is calculated based on the real-time voltage and the real-time current, and a charging circuit of the monitoring battery is controlled to charge the monitoring battery with the tail end charging current; if it is determined that the working state is the discharging state, whether the real-time battery electric quantity is lower than preset second electric quantity or not is judged; and if it is determined that the real-time battery electric quantity is lower than the preset second electric quantity, carrying out discharging tail end pre-undervoltage SOC dynamic correction based on the real-time battery electric quantity, the real-time voltage and the real-time current, and calculating the corrected battery electric quantity of the monitored battery. According to the invention, more intelligent battery management can be realized.

The invention relates to the technical field of load power-off management, and discloses a load power-off management system and method based on battery capacity check and detection, and the management system comprises a power supply and a plurality of loads; the load power-off management system further comprises a charging and discharging module, a charging and discharging module monitoring unit, a load basic information unit, a plurality of load monitoring units and an analysis module. After the power supply is cut off, the charging and discharging module provides electric energy for each load; the charging and discharging module monitoring unit monitors the charging and discharging module and obtains and stores monitoring data of the charging and discharging module; monitoring corresponding loads through a plurality of load monitoring units, and obtaining and storing state information data of the loads; the monitoring data, the load priorities, the preset stop time and the state information data are analyzed through an analysis module, and whether the loads with the priorities are powered off or not is judged; it is ensured that the load with the preceding priority can continue to work until the preset stop time, and accurate power-off of the load is achieved.

The invention belongs to the technical field of battery parameter identification, and particularly relates to a battery model parameter identification method and device, electronic equipment and a storage medium. A multi-information theory is introduced into the memory-limited recursive least square algorithm, an identification model is determined, the multi-information theory is used for obtaining information length data to serve as input of the identification model, and the memory-limited recursive least square algorithm is used for limiting the memory length of the identification model; based on the identification model, the real-time voltage and the real-time current, parameter identification is carried out on the second-order RC battery model, the identification model has better tracking performance and stability, the identification result can quickly approach and stably converge near a reference value, and a parameter identification result with a better effect can be obtained.

The present invention discloses a high-throughput transmission scheduling method for a wireless energy transmission system, and belongs to the technical field of wireless energy transmission. The method first obtains system parameters such as the initial energy, battery capacity, and maximum discharge power of the WPT system, calculates the optimal discharge transmission power through the established scheduling model, calculates the system charging time, and finally performs system scheduling based on the optimal discharge power and charging time to optimize the throughput performance of the energy transmission process, and continuously monitors the energy state of the equipment during the charging and discharging process. The transmission scheduling method of the present invention meets the energy transmission scheduling requirements of the wireless energy transmission system by optimizing the charging time and the power of the power generation data, and achieves the technical effect of improving the throughput in the wireless energy transmission system, thereby improving the energy transmission efficiency; the method continuously monitors the energy state of the equipment to avoid over-discharge or over-charging, and effectively extends the overall service life of the equipment.

The invention relates to the technical field of vehicles, in particular to a controller abnormal wake-up source monitoring method and device, a vehicle and a cloud platform, and the method comprises the steps: obtaining a sleep wake-up reason, a control bit vector and a maintenance wake-up reason of a controller; first message data of the controllers are generated according to the sleep wake-up reasons, the control bit vectors and the maintenance wake-up reasons, and the formats of the message data of all the controllers are the same; and integrating the first message data of the plurality of controllers to obtain second message data, and monitoring an abnormal wake-up source in the controller under the condition that the vehicle is in the dormant state based on the second message data. Therefore, the problems that in the prior art, ECUs under different network architectures cannot be managed in a unified mode, abnormal detection and positioning are not comprehensive, and the battery is excessively consumed are solved.

The invention discloses an energy storage system, a control method and a related device, the energy storage system comprises a controller and m inverters, each inverter is connected with a corresponding battery cluster unit, each battery cluster unit comprises a plurality of battery clusters, each inverter and the corresponding battery cluster unit form a battery unit, and m is an integer greater than or equal to 2; the controller is used for controlling a first inverter in a first battery unit and a corresponding first battery cluster unit to be started under the condition that the energy storage system is shut down and the first battery unit in the m battery units is not started, and if the first inverter is not started or the first battery cluster unit is in a non-operation state, the first inverter in the first battery unit and the corresponding first battery cluster unit are started. And if yes, determining that the first battery unit is an abnormal battery unit. Thus, the configuration relation between the inverter and the battery cluster unit is checked, the battery cluster unit is prevented from being overcharged or overdischarged due to wrong configuration, and the safety and reliability of the energy storage system are improved.

The utility model discloses an air compressor which comprises a machine body, an air inlet and an air outlet. The battery and the control module are both mounted on the machine body; the solar panel is mounted at the top of the machine body, and the solar panel is electrically connected with the battery and the control module through a connecting wire harness; the wire harness support is installed on the machine body, a wire penetrating groove is formed in the wire harness support, and at least part of the connecting wire harness is arranged in the wire penetrating groove in a penetrating mode. According to the air compressor, the solar panel is arranged at the top of the machine body to continuously supply power to the battery and the control device, so that insufficient electric quantity or over-discharge of the battery can be avoided, reliable operation of the control module can be ensured, meanwhile, the connecting wire harness is installed and protected through the wire harness support, and the service life of the air compressor is prolonged. Therefore, damage, breakage or failure caused by water inflow are avoided.

The utility model relates to the technical field of batteries, in particular to a battery box with a display screen, which comprises an upper shell and a lower shell, the top of the upper shell is provided with the display screen, one end of the lower shell is provided with a locking component, the top of the upper shell is provided with a display screen mounting groove, the bottom of the lower shell is provided with a fixing seat, and the fixing seat is mounted on a battery car through bolts. A clamping groove is formed in the bottom of the lower shell, and a plurality of clamping plates are installed on the inner walls of the two sides of the clamping groove. According to the battery box with the display screen, by integrating the display screen, a user can intuitively and conveniently know the working state of the battery, so that the charging and using plans are reasonably arranged, the battery is effectively prevented from being over-discharged or charged, the using safety of the battery is improved, and the service life of the battery is prolonged. In addition, the design of the battery box also has the functions of convenient installation and disassembly, and particularly, the battery box can be quickly fixed on the battery car or disassembled from the battery car through the matching of the locking assembly and the fixed seat.

The invention belongs to the technical field of BMS battery management systems, and particularly relates to a two-turn battery replacement intelligent cabinet non-charging diagnosis method, which comprises the following steps: S100, initializing a system, and enabling the system to enter a pre-discharging state; according to the non-charging diagnosis method for the two-turn battery switching intelligent cabinet, the charging state of the lithium battery is divided into the pre-discharging state, the charging state, the discharging state and the protection state by setting S100-S700, so that the state switching of the battery is accurately controlled, the problem of excessive discharging or insufficient charging is avoided, and the effect of prolonging the service life of the battery is achieved. Therefore, the problem that an existing intelligent lithium battery state judgment technology cannot be flexibly optimized and adapted according to an actual application scene is solved, and the problem that the state judgment is limited due to the fact that the state of the battery is automatically judged through discharge current or a front-end chip and special requirements of different application scenes cannot be fully considered is solved.

The present invention relates to the technical field of power batteries, and in particular to a method, device, vehicle and medium for controlling discharge allowable power, which includes: obtaining the lowest cell voltage of the power battery at the current moment; if the lowest cell voltage of the power battery at the current moment is less than a preset undervoltage threshold, obtaining the actual discharge power of the power battery at the moment when the lowest cell voltage of the power battery begins to be less than the preset undervoltage threshold, and the lowest cell voltage of the power battery at the previous moment; according to the lowest cell voltage of the power battery at the current moment and the lowest cell voltage of the power battery at the previous moment, calculating the voltage change trend and voltage change amount of the lowest cell voltage of the power battery, thereby determining the target change rate of the discharge allowable power of the power battery at the current moment; controlling the discharge allowable power of the power battery according to the actual discharge power and the target change rate. Thus, the problems of power limitation caused by over-discharge of the battery in the prior art and sudden change of vehicle power are solved.

The application relates to the field of power electronics, and discloses a battery power balance system and an electric vehicle, which comprise: a first power supply branch, the first power supply branch comprising a first power battery pack, a first inverter and a first traction motor, the first inverter being used for converting direct current of the first power battery pack into alternating current to provide the first traction motor; a second power supply branch, the second power supply branch comprising a second power battery pack, a second inverter, a third inverter, a second traction motor and an auxiliary motor, the second inverter being used for converting direct current of the second power battery pack into alternating current to provide the second traction motor, and the third inverter being used for converting direct current of the second power battery pack into alternating current to provide the auxiliary motor; and a battery power balance circuit, the battery power balance circuit being used for balancing the power of the first power battery pack and the second power battery pack. The application solves the problem of how to prolong the service life of a power battery, improves the utilization rate of the power battery, and prolongs the service life of the power battery.