19results about How to "Avoid excessive discharge" patented technology

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 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 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 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 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 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 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 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.

The present disclosure provides a kind of energy storage system and its capacity equalization method, device, it is related to energy storage technical field.Energy storage system includes at least one battery cluster, battery cluster includes power module and multiple battery modules, the method includes: obtaining the residual capacity SOC of each battery module in target battery cluster;Wherein, target battery cluster is one in at least one battery cluster;If the SOC of multiple battery modules in target battery cluster does not satisfy preset equalization condition, then according to the SOC of multiple battery modules, determine the battery module to be equalized from multiple battery modules;Control power module switches to the battery module to be equalized and carries out power supply, to make the SOC of multiple battery modules in target battery cluster satisfy preset equalization condition.The present disclosure can realize the SOC equalization of multiple battery modules in target battery cluster, reduce energy loss, save energy, guarantee power module reliability, improve the communication stability of overall energy storage system.

The present application provides an intelligent charging method and system for a charging and swapping cabinet, which extracts the opening frequency of the charging and swapping cabinet and the battery swapping frequency of each battery pack from the historical battery swapping record of the charging and swapping cabinet, determines the power load of the charging and swapping cabinet by the opening frequency and the charging performance in each battery state, and determines the charging priority of each battery pack according to the power load and the battery swapping frequency of each battery pack; extracts the load characteristics of the charging and swapping cabinet from all battery states based on the mapping relationship between each battery pack in the charging and swapping cabinet, determines the load balance of the charging power distribution in the charging and swapping cabinet according to the load characteristics and the multi-channel charging power; and dynamically adjusts the charging power of each battery pack in the charging and swapping cabinet in the subsequent charging process according to the load balance and the charging priority of each battery pack. Based on the above scheme, the power distribution efficiency during the charging process can be improved.

This application belongs to the field of battery parameter estimation technology, and particularly relates to a battery SOC estimation method, apparatus, device, and medium based on Kalman filtering. The solution provided in this application addresses the problem that small errors in SOC estimation of lithium iron phosphate batteries caused by the battery voltage plateau period in traditional Kalman filtering methods have a significant impact. Based on the Kalman filtering algorithm, an improved formula is introduced, and the value of the voltage plateau period gain G in the improved formula is determined, effectively improving the SOC estimation accuracy for lithium iron phosphate batteries. Accurate SOC estimation ensures maximum battery utility, reduces costs, and prevents resource waste.

The invention relates to the technical field of intelligent control of a backup power supply of a civil air defense alarm system. The intelligent control method comprises the steps that current output power supply state information of a solar photovoltaic cell panel is obtained, the current output power supply state information is compared with a preset power supply threshold value, charging power supply selection information is generated, and based on the charging power supply selection information, a standby power supply of the solar photovoltaic cell panel is selected according to the charging power supply selection information. The method comprises the following steps: judging the power demand of a storage battery pack, obtaining the type information of the currently charged storage battery pack according to the power demand, confirming battery configuration parameters based on the type information, setting a charging mode according to the battery configuration parameters, and monitoring the real-time electric quantity information of the storage battery pack in real time in the charging process. And if the real-time electric quantity information of the storage battery pack is higher than the power supply demand of the alarm terminal, stopping charging the storage battery pack. The emergency power supply device has the effect of ensuring stable power supply of the storage battery pack in an emergency state.

The application provides an extremely low-temperature starting battery system and relates to the technical field of battery thermal management, and comprises a receiving module, a obtaining module and a judging module.The receiving module is used for receiving an externally input charge-discharge request instruction and analyzing the instruction to obtain a standardized request type parameter.The obtaining module is used for starting a multi-path temperature acquisition process according to the standardized request type parameter, and obtaining environment temperature and battery temperature data to obtain current temperature state information.The judging module is used for dividing the environment temperature into preset extremely low-temperature intervals, normal low-temperature intervals and non-low-temperature intervals according to the request type parameter and the environment temperature data in the current temperature state information to obtain a temperature interval division result, and judging a heating starting condition based on the division result and the request type parameter to obtain a judgment result.The application realizes safe and efficient charge-discharge starting of the battery under extremely cold conditions.