887 results about "Thermal threshold" patented technology

The invention relates to the technical field of new energy automobile and battery safety, and discloses a power battery thermal runaway risk early warning method, which comprises the following steps: synchronously acquiring battery internal resistance dynamic change, characteristic gas concentration and temperature gradient distribution through a multi-physics field coupling sensor network, and constructing an electrochemical-thermal-gas ternary early criterion; the internal resistance mutation rate is calculated through self-adaptive sliding window differential, the gas precipitation rate and the temperature space heterogeneity index are combined and input into a multi-branch fusion neural network containing a gating attention mechanism, the continuous thermal runaway risk probability is output, and corresponding early warning is triggered according to grading threshold values. The system comprises an internal resistance, gas and temperature monitoring module and a multi-modal fusion evaluation and grading early warning execution module. According to the method, the traditional early warning logic singly depending on a temperature threshold value is abandoned, a ternary early criterion system with the internal resistance abrupt change rate, the characteristic gas precipitation rate and the temperature space heterogeneity index as the core is constructed for the first time, and electrochemical and physical field anomalies caused by thermal runaway precursor events such as lithium dendrite piercing of a diaphragm and SEI membrane rupture can be effectively captured.

The invention relates to the technical field of wind driven generator control, in particular to a thermal management system and method for a wind driven generator, and the system comprises a data collection layer, a prediction module, a digital twin model, an intelligent control and diagnosis engine, and a heat dissipation execution mechanism. In the prior art, an open-loop or simple feedback control scheme based on a real-time temperature threshold value is mainly adopted, the problem of response lag exists, and all heat dissipation parts always work independently and lack cooperation, so that the energy efficiency is low; according to the invention, a closed-loop intelligent thermal management scheme based on a digital twin model is adopted, and real-time simulation and future state prediction are carried out by constructing virtual mapping of a generator thermal system, so that a control system can actively and cooperatively manage all heat dissipation resources according to a simulation result; the method has the core advantage of converting passive into active, and can intervene in advance before excessive accumulation of heat, so that collaborative optimal control of all parts of the system is realized, and the accuracy, timeliness and overall energy efficiency of heat management are remarkably improved.

The invention discloses a cold-chain logistics temperature control supervision method and system based on GPS linkage, and relates to the related technical field of cold-chain logistics, and the method comprises the steps: installing a vehicle-mounted terminal on a cold-chain logistics transport vehicle, and collecting the vehicle position information and carriage temperature data in real time; encrypting and uploading to a monitoring processing center, and calling cold-chain logistics temperature control analysis dual channels of the target cold-chain goods; obtaining a temperature comparison result with a preset safe temperature threshold value, and matching and determining a target temperature control analysis channel; and performing temperature control analysis, determining a temperature control adjustment strategy parameter, and performing cold-chain logistics temperature control supervision. The technical problems that in the prior art, temperature control supervision lags behind, deep fusion analysis with the vehicle position and the transportation state is not carried out, specific reasons of temperature abnormity cannot be distinguished, and the regulation and control strategy is lack of accuracy and predictability are solved, and real-time, accurate and intelligent cold chain transportation temperature control abnormity recognition and supervision are achieved. And the reliability, the safety and the efficiency of cold-chain logistics are improved.

The invention relates to the technical field of liquid cooling heat dissipation control. The invention provides a temperature self-adaptive control method, system and device for a liquid cooling cable of a high-power charging gun and a storage medium. The method comprises the following steps: acquiring a cable body structure, a charging condition and a cooling liquid state parameter, and constructing an initial data set; based on a data set fusion heat conduction mechanism, establishing a dynamic control model of the cable temperature, the working condition and the cooling liquid flow rate; collecting parameters in real time, inputting the parameters into the model, and calculating a target temperature and a cooling liquid flow velocity threshold; comparing the target temperature with a safe temperature threshold, if the target temperature exceeds the standard, adjusting the rotating speeds of the water pump and the fan, otherwise, maintaining the current state; actual temperature and flow velocity are monitored in real time, and model coefficients are corrected according to temperature difference. The problems that an existing liquid cooling control method for the high-power charging gun is lagged in response, high in computing resource requirement and insufficient in control precision and energy efficiency under complex working conditions are solved.

The invention discloses a load prediction method considering data enhancement in extreme weather, which relates to the technical field of power system load prediction and comprises the following steps: acquiring meteorological data and historical industry load data of a target area according to a fixed sampling interval; calculating the correlation between a temperature sequence and a load sequence in the multivariable feature matrix, and screening a temperature-sensitive target industry load set by combining the correlation strength and stability in an extreme scene; calculating daily extreme temperature of the temperature sequence by day, and judging and identifying different extreme weather days and corresponding similar day sets according to a temperature threshold value; performing sample expansion and elimination according to the similar day set and the representative test day, and establishing a basic training set and an enhanced training set; and constructing a reference model through double-stage training. Compared with a traditional method, all load data are simply used, redundant features are remarkably reduced, and model training efficiency and prediction accuracy are improved.

The invention relates to the technical field of transformer intelligent monitoring and heat dissipation control, in particular to a transformer system based on intelligent monitoring and self-adaptive heat dissipation and a transformer heat dissipation method, and the system comprises an intelligent monitoring module which is used for collecting physical quantity data in the operation process of a transformer in real time through a sensor; the data processing and analyzing unit is used for receiving the data transmitted by the intelligent monitoring module and establishing a transformer operation state model; the self-adaptive heat dissipation control module is used for receiving the operation state analysis result and dynamically adjusting operation parameters of the heat dissipation system based on a temperature threshold value and a load rate; and the fault early warning and diagnosis module is used for establishing an operation state evaluation model and a fault prediction model by adopting a machine learning algorithm, receiving an operation state analysis result and comparing the operation state analysis result with an early warning threshold value. Accurate monitoring, self-adaptive heat dissipation and fault early warning of the transformer are achieved, stable operation is guaranteed, and energy consumption is reduced.

The invention discloses an induction heating path optimization method suitable for a heterogeneous noise elimination structure, and particularly relates to the field of induction heating path optimization of the heterogeneous noise elimination structure, and the method comprises the steps: building a grid coordinate in a target region, collecting the heat conductivity coefficient, the specific heat capacity, the thermal resistance value and the induction coil gap value of each grid node in the grid coordinate, generating a thermal response model; and performing heat conduction calculation on the thermal response model and a preset heating power curve, calculating a temperature rise value of each grid node in a fixed preset heating time, marking the grid nodes of which the temperature rise values reach or exceed a safe temperature threshold and the adjacent grid nodes as heat concentration areas, and generating risk area data after gathering the heat concentration areas. A risk assessment and dynamic reordering mechanism based on local thermal characteristic difference is introduced in a heating path planning process, so that advanced identification and real-time avoidance of a heat concentration area are realized.

The invention discloses an intelligent heat dissipation method and system for case heat dissipation, and belongs to the technical field of server case heat dissipation, and the intelligent heat dissipation method comprises the following steps: S1, arranging a heat detection unit and a diversion unit in a case; s2, acquiring real-time temperature information in the case, comparing the real-time temperature information with a temperature threshold value to judge whether a hot spot appears or not, and if the hot spot appears, turning to step S3; s3, confirming a hot spot coordinate, reconstructing a cold air conveying path, and calculating to obtain deflection angle information of the flow guide unit; and S4, the flow guide unit conducts corresponding deflection, cold air conveying path reconstruction is completed, and meanwhile the system capable of achieving the method is provided. According to the intelligent heat dissipation method and system for heat dissipation of the case, the cold air conveying path in the case is reconstructed, so that targeted efficient heat dissipation is carried out on the hot spot position in the case, energy consumption waste is avoided, and the heat dissipation efficiency is improved.

Aircraft capable of hovering comprising a fuselage at least one rotor that is rotatable with respect to the fuselage, electrical drive means adapted to rotate the rotor and electrically powered by a battery, and a cooling system of the battery. Said cooling system comprises, in turn, a first opening for the air to enter, second openings for the air to escape and a passage which places the first opening in fluidic communication with the second openings and within which the battery is placed. The cooling system further comprises a fan adapted to increase the kinetic energy of the air contained in the passage and which is operated when the forward speed of the aircraft with respect to the ground is lower than a speed threshold value and / or when the temperature of the battery exceeds a temperature threshold value.

The invention relates to the technical field of central differential adjustment, in particular to a torque distribution optimization-based central differential dynamic adjustment method, which comprises the following steps of: predicting a driving state based on a vehicle dynamics model and generating a feedforward torque distribution reference instruction; monitoring the rotating speed difference of front and rear drive axles in real time and generating a feedback torque correction instruction; the feedforward instruction and the feedback instruction are superposed to generate a total torque distribution instruction, and a central differential mechanism is controlled to execute inter-axle torque distribution; when it is detected that an individual wheel slips, the control system cooperates with an electronic stability program controller to work, and a total torque distribution instruction is dynamically adjusted by interacting a cooperation request and braking state information so as to achieve accurate distribution of driving torque to the best attached wheel; and meanwhile, the temperature of the multiple clutches is monitored in real time, predictive thermal management control or system protection strategies are executed in a graded mode according to temperature threshold values, and the reliability and durability of system work are ensured.

The invention provides a power battery thermal management method and equipment, and relates to the technical field of vehicle batteries. The method comprises the steps that if it is detected that a vehicle enters a first preset road section, the first battery state of a power battery in the vehicle, the first vehicle speed and the first predicted time length of the first preset road section are obtained, a thermal prediction model of the power battery is adopted for prediction, and a first temperature prediction curve of the power battery in the first predicted time length is obtained; according to the first temperature prediction curve, whether the target prediction temperature of the power battery reaches a preset safety temperature threshold value after the vehicle drives out of the first preset road section or not is predicted, and if the target prediction temperature does not reach the preset safety temperature threshold value, a first control instruction is sent to a refrigeration system, the refrigerating system closes the compressor and / or reduces the rotating speed of the cooling water pump. A temperature prediction curve is generated through the heat prediction model, safety risks are judged, a refrigeration system control instruction is sent finally, and energy consumption of the refrigeration system is reduced.

The invention discloses a robot polishing intelligent control method and system, and the method comprises the steps: obtaining the physical attributes and state parameters of a polishing device, collecting a vibration signal in a polishing process in real time, and carrying out the conversion analysis of the vibration signal, so as to obtain the removal efficiency of the polishing device; and meanwhile, the temperature of the polishing contact area within a preset time threshold value is monitored, whether heat accumulation of the polishing contact area exceeds a set threshold value or not is judged according to the temperature of the polishing contact area, the actual contact duration and a preset temperature threshold value, and the potential damage risk level of the polishing contact area is determined in a grading mode. Carrying out predictive evaluation on the polishing process; and when the prediction result shows that the potential damage risk rises in the preset time window, the control parameters corresponding to the polishing task are dynamically adjusted under the constraint condition with the highest priority for restraining the subsurface layer structure defects of the operation object.

The invention provides an energy storage battery thermal management method and system. The method comprises the following steps: collecting state information of a target battery pack, wherein the state information comprises a health state value, a cycle index and a current charging rate; acquiring temperature information of the target battery pack; for the state information, a preset state-temperature threshold mapping database is called, and basic temperature thresholds corresponding to the health state value, the cycle index and the current charging rate of the state information are obtained through matching; determining a weight corresponding to each piece of state information according to a preset dynamic weight distribution rule, and performing weighted calculation on each basic temperature threshold according to the weight to obtain an optimal temperature threshold of thermal management of the target battery pack; and performing thermal management control on the target battery pack based on the optimal temperature threshold and the temperature information. According to the invention, the problems of high risk, waste of energy consumption, poor scene adaptability and the like in the aspect of thermal management of the energy storage battery can be solved.

Temperature-aware built-in self-test (BIST) control system for selectively controlling activation of BIST circuits in a processor-based system to maintain temperature limit and related methods. The temperature-aware BIST control system is configured to selectively control the number of BIST circuits in the processor-based system activated during the same time based on a temperature limit indicator related to a sensed temperature(s) in the processor-based system and whether such is within a defined temperature threshold(s) and / or temperature change rate threshold(s), which may be programmable. In this manner, the safety manager circuit can dynamically and selectively control the number of BIST circuits activated based on temperature according to the BIST control policy(ies) to reduce or avoid circuit failures due to excess temperature, while at the same time maximizing the staggering (i.e., overlapping) of BIST circuit activations to maximize testing speed.

The invention discloses an outdoor power equipment temperature abnormity monitoring method, device and equipment, and the method comprises the steps: carrying out the calibration processing of power equipment temperature data collected based on a dynamic collection frequency through employing a preset calibration algorithm, and obtaining the calibration temperature data; performing temperature anomaly analysis according to the calibration temperature data based on the temperature threshold, the trend threshold, the mutation mechanism and the baseline standard, and generating an anomaly analysis data packet; sending the abnormal analysis data packet to a relay gateway according to a spread spectrum technology and a check retransmission mechanism, so that the relay gateway performs data aggregation and protocol conversion processing based on an abnormal priority to obtain a transmission data packet; and triggering different temperature early warning mechanisms through the cloud platform according to the abnormality level in the received transmission data packet to realize temperature abnormality early warning. The technical problems of lack of timeliness, accuracy and remote control capability of monitoring due to lack of timeliness, weak data acquisition anti-interference capability and easy loss in the data transmission process in the prior art can be solved.

The invention discloses a temperature compensation circuit, a power amplifier and a radio frequency front-end module. The temperature compensation circuit comprises a temperature compensation module, a current source module and a control module. The temperature compensation module is used for outputting a first temperature compensation voltage under the condition that the environment temperature is smaller than or equal to a first temperature threshold value; the current source module is connected between the temperature compensation module and the output port and is used for converting the temperature compensation voltage output by the temperature compensation module into control current; the current source module is provided with at least two current adjusting gears, and the control module is connected with the current source module. When the first temperature compensation voltage output by the temperature compensation module is in positive correlation with the environment temperature, and the environment temperature is smaller than or equal to a first temperature threshold value (namely, the low-temperature environment), the control current is reduced accordingly, so that the offset signal of the compensated power amplifier is synchronously reduced, and the offset signal of the power amplifier is synchronously reduced. The working gain of the power amplifier in a low-temperature environment can be reduced, so that the durability of the power amplifier is improved.

The invention discloses a contribution decomposition calculation method for lake expansion. The contribution decomposition calculation method comprises the following steps: extracting a lake area through a remote sensing image and a digital elevation model, inverting water volume change, judging a rainfall phase state by using a temperature threshold method, estimating ice and snow ablation amount in combination with a degree-day factor method, and calculating a glacier runoff total amount; constructing a single-layer evaporation model, calculating flux of net radiation, sensible heat, latent heat, water body heat storage and the like based on a lake surface energy balance equation, and obtaining daily lake surface evaporation capacity; quantile mapping and Bayesian fusion are combined, and lake surface rainfall is corrected; non-glacial runoff is calculated according to a lake water balance equation; dividing a stable period and an expansion period according to the lake area trend, calculating an abnormal value of the expansion period by taking the hydrological mean value of the stable period as a reference, and finally determining the expansion contribution of each hydrological factor according to the increment proportion of the abnormal value in the total water quantity. Through the method, the contribution intensity of different driving factors is determined, scientific support is provided for lake change simulation and evolution prediction, and ecological protection and management strategies are more targeted.

The invention relates to the technical field of instrument checking, and discloses a power plant chemical instrument checking method and device capable of automatically adjusting the temperature, and the method comprises the following steps: collecting the temperature of a main water sample and a reference water sample, monitoring the mixed water temperature, and starting checking when the temperature difference exceeds a temperature threshold value; setting a gradient temperature check point, and calculating a theoretical conductivity value; controlling the temperature of the main water sample and the reference water sample by adopting a multi-stage flow path; when the water temperature reaches a steady state, sodium standard liquid is injected, and theoretical sodium concentration increment is calculated; converting the potential signal into a sodium concentration measured value by adopting a difference algorithm; constructing a temperature-concentration double-variable high-order response curved surface model; performing back-stepping to obtain simulation concentration, calculating confidence factors, and triggering grading response; according to the method, a temperature-concentration linkage response curved surface model is constructed, all working conditions of temperature and concentration are covered, confidence factors are introduced to quantify calibration reliability, and an adaptive closed-loop compensation mechanism is established for iterative optimization, so that chemical verification of the power plant is realized.

The invention relates to a TMR current sensor adaptive temperature compensation system of a double-air-gap multistage magnetic ring. Comprising a temperature detection module used for obtaining temperature information of the TMR sensor; the processing module is in communication connection with the temperature detection module; the bias control module is controlled by the processing module and is used for adjusting a bias point applied to the TMR sensitive element; and the processing module compares the temperature information with a plurality of preset temperature thresholds to determine a current temperature interval, and controls the bias control module to execute different processing modes according to different temperature intervals. According to the invention, the bias point of the TMR element is dynamically adjusted, the working state of the TMR element is changed, the TMR element always works in an area with the best linearity or the most stable linearity, direct compensation is realized, temperature drift is prevented, and higher measurement precision in the full temperature range is obtained.

The application provides a sliding contact line detection method and device, a controller, a medium and a product, and is applied to the technical field of defect detection. The method comprises the following steps: acquiring the current temperature of a carbon brush; performing two-dimensional code shooting on the position of the sliding contact line where the carbon brush is currently located to obtain current position information of the carbon brush, wherein the sliding contact line is provided with a plurality of two-dimensional codes, and each two-dimensional code corresponds to one position information; determining a temperature threshold value according to the current position information, wherein different position information corresponds to different temperature threshold values; and analyzing the current temperature and the temperature threshold value to determine the current state of the sliding contact line. According to the application, the temperature threshold value can be determined according to the current position information obtained by the two-dimensional code, and the current state of the sliding contact line can be determined according to the current temperature of the carbon brush and the temperature threshold value, so that the detection of the sliding contact line is realized.

A continuous casting billet surface quenching method in the embodiment of the present application, by cutting the continuous casting billet leaving the continuous casting machine, the to-be-quenched billet is obtained, the to-be-quenched billet is conveyed into the first quenching area for first-stage quenching, and the surface temperature after the first-stage quenching is controlled within the first preset temperature threshold range, the once-quenched billet is obtained, the once-quenched billet is conveyed into the temperature-recovery area for temperature recovery, the once-quenched billet after the temperature recovery is obtained, the once-quenched billet after the temperature recovery is quenched in the second quenching area, the surface temperature after the second-stage quenching is controlled within the second preset temperature threshold range, the twice-quenched billet is obtained, and the twice-quenched billet is conveyed to the heating furnace; the method can effectively reduce the surface temperature of the continuous casting billet under high speed to a suitable temperature range by setting two quenching areas for quenching control of the continuous casting billet under high speed, and the temperature recovery section between the quenching areas can reduce the quenching stress.

The utility model relates to motor driver test technical field discloses motor driver test load and motor driver testing arrangement, the motor driver test load includes: three -phase inductance load, three -phase inductance load includes a plurality of three -phase test end, wherein, the load between each three -phase test end is different, the motor driver to be tested is connected with target three -phase test end of three -phase inductance load, carries out the test based on target three -phase test end corresponding load, temperature sensor sets up in three -phase inductance load, gathers three -phase inductance load's temperature signal and exports, control unit is connected with temperature sensor, receives temperature signal, and when temperature signal is higher than temperature threshold value, exports cooling signal, cooling unit sets up in three -phase inductance load, cooling unit is connected with control unit, receives cooling signal and starts and reduces three -phase inductance load's temperature. The utility model solves the problem that the existing test motor driver's load commonality is low.

This invention relates to a thermally constrained dynamic task scheduling method, apparatus, sensing and control device, and unmanned aerial vehicle (UAV), specifically within the field of electric vehicle sensing and control equipment technology. It aims to address issues such as inaccurate heat accumulation determination, weak task migration targeting, and easy timing conflicts in existing scheduling schemes. The method collects real-time equipment temperature data and sensing task processing volume, and determines the heat accumulation at the first processing end based on a safety temperature threshold range of 60℃-85℃. Based on core parameters such as the number of computational instructions and data throughput, it quantifies the task heat value through a calibration model and migrates lower-priority tasks to the second processing end according to their heat level. During task migration, the migration rate is dynamically adjusted, and the computation frequency of remaining tasks is fine-tuned according to the temperature decrease gradient. Task conflicts are avoided through timing-related boundary control. This invention achieves a balance between targeted cooling and task real-time performance, ensuring reliable execution of core tasks such as UAV path recognition and UAV speed detection.

The invention discloses an intelligent temperature control method and system for a high-silica glass fiber production line, and relates to the technical field of high-silica glass fiber production.The intelligent temperature control method comprises the following steps that firstly, temperature sensors arranged at all nodes in a furnace hearth of a smelting furnace collect temperature data in real time, and on the basis of a finite element analysis algorithm, the temperature data are obtained; a regional temperature field model is constructed in combination with temperature data, content data of trace impurities in the raw materials are acquired in real time by adopting online detection equipment, the viscosity change trend of the melt under the current raw materials can be analyzed, the current temperature threshold value is dynamically adjusted according to the viscosity change, and the limitation of a traditional fixed temperature threshold value is broken through; the temperature control can better adapt to real-time fluctuation of trace impurities in raw materials, and proper temperature control can be realized under different raw material conditions, so that the qualified rate of products is effectively improved, the loss rate of the raw materials is reduced, manual intervention is reduced, the timeliness and accuracy of temperature control are improved, and the production cost is reduced. And the production efficiency and the product quality are further improved.

The invention discloses a coolant temperature ultra-high limit fault optimization strategy, relates to a coolant control technology, and solves the technical problems of high fault misjudgment rate, high fault missed judgment risk and poor flexibility of a fault diagnosis strategy with a single temperature threshold. The strategy comprises the steps that engine operation parameters are collected, and the on-off state of a multi-state switch is determined according to the engine operation parameters; and setting a water temperature limit value according to the on-off state of the multi-state switch. The technical problem that a single threshold value adapts to multiple working conditions is solved, and the accuracy of judging the working conditions of the engine is improved.

The invention relates to the technical field of power electronic devices, in particular to an energy consumption resistor temperature online monitoring method and related device.The method comprises the steps that the equivalent heat capacity and the equivalent heat resistance of an energy consumption resistor to be measured are obtained, and the actually measured power of the energy consumption resistor in the current period, the reference temperature of the last period and the preset period time are obtained; according to the equivalent heat capacity, the equivalent heat resistance, the cycle time, the actually measured power, the reference temperature and a preset mapping relational expression of the energy consumption resistor, the temperature of the energy consumption resistor is calculated; the equivalent heat capacity, the equivalent heat resistance and the period time of the energy consumption resistor, the actually measured power of the current period, the reference temperature of the previous period and the mapping relation among the actual temperature of the current period of the energy consumption resistor are embedded in the mapping relation; according to the comparison result of the actual temperature of the current period and the preset temperature threshold value, the monitoring result of the energy consumption resistor in the current period is output, and the technical problem that the temperature of the energy consumption resistor cannot be effectively monitored in the prior art is solved.

The invention discloses an energy-saving controller for temperature feedback intelligent intermittent demisting control, and belongs to the technical field of electric appliance engineering and intelligent control. The controller comprises a high-precision temperature sensing module, an intelligent control module, a heating wire driving module and an abnormal protection and alarm module. The intelligent control module dynamically controls the heating wire driving module to conduct on-off operation on the demisting heating wire according to temperature data, collected by the temperature sensing module in real time, of key parts of the refrigeration device through a preset temperature threshold interval and intermittent work cycle logic. The problems that in the prior art, due to the fact that a demisting heating wire is normally turned on, energy consumption is high, devices are prone to aging, and due to the fact that the demisting heating wire and a compressor are started and stopped at the same time, the demisting effect is poor in the high-humidity environment are solved, and efficient, energy-saving, safe and high-adaptability intelligent demisting control is achieved.

The utility model discloses a temperature detection circuit and a charging pile, and relates to the technical field of charging pile control, the temperature detection circuit comprises a temperature sampling circuit, a temperature rise slope detection circuit, a comparison circuit and a control circuit, the input end of the temperature rise slope detection circuit is electrically connected with the output end of the temperature sampling circuit; the input end of the comparison circuit is electrically connected with the output end of the temperature rise slope detection circuit; the input end of the control circuit is electrically connected with the output end of the comparison circuit, and the control end of the control circuit is electrically connected with the charging switch circuit; and when the control circuit determines that the temperature of the charging gun is in an over-temperature fault state according to the comparison result, a turn-off control signal is output to the charging switch circuit so as to disconnect an electric connection path between the charging module and the charging gun. By detecting the temperature rising slope of the charging gun, measures are taken in time before the temperature reaches the maximum safe temperature threshold value, and therefore potential safety hazards or the risk of equipment damage caused by sudden temperature rising are improved.

The energy storage equipment comprises a shell, a heat exchanger, a plurality of temperature sensors, a plurality of battery modules and a controller, the controller is connected with the temperature sensors and the heat exchanger, each battery module comprises a plurality of battery cells, and the heat exchanger comprises a first fan and a second fan. The controller is configured to obtain the battery cell temperature and the environment temperature, determine a first temperature threshold in response to the temperature interval in which the environment temperature is located, determine that the value of the first rotating speed of the first fan is larger than zero in response to the condition that the battery cell temperature is larger than or equal to the first temperature threshold, and determine that the value of the second rotating speed of the second fan is larger than zero in response to the condition that the battery cell temperature is larger than or equal to the first temperature threshold.