An intelligent control system for cooling fans based on data acquisition

Abstract

The present invention discloses an intelligent control system for a cooling fan based on data acquisition, including a fan information acquisition module, a battery information acquisition module, an environmental information acquisition module, a data processing module and an information sending module; the fan information acquisition module is used to acquire fan-related information, including fan body information and fan installation information; the battery acquisition module is used to acquire new energy battery information; the environmental information acquisition module is used to acquire new energy battery and fan environment information; the data processing module is used to process fan-related information, new energy battery information and environment information to generate cooling control information, fan control information, battery control information and environment control information. The present invention can perform more intelligent control of a new energy battery cooling fan.

Description

Technical Field

[0001] The present invention relates to the field of control systems, and in particular to an intelligent control system for a cooling fan based on data acquisition. Background Art

[0002] With the booming development of the new energy vehicle industry, the performance and safety of batteries as core components have attracted much attention. Batteries generate heat during the charging and discharging process. If the heat cannot be effectively dissipated, a series of serious problems will occur. On the one hand, high temperature will accelerate the chemical reaction inside the battery, resulting in a shortened battery life and increased capacity decay; on the other hand, overheating may also cause thermal runaway, posing a huge threat to vehicle safety.

[0003] Traditional heat dissipation methods are often rough and lack precise monitoring and regulation of batteries and heat dissipation systems. Therefore, an intelligent control system for cooling fans based on data collection is needed.

[0004] The existing cooling fan control system has a low level of intelligence in the cooling control of new energy batteries, and is prone to energy loss caused by battery overheating, which has a certain impact on the use of the cooling fan control system. Therefore, a cooling fan intelligent control system based on data acquisition is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the existing cooling fan control system has a low degree of intelligence in the cooling control of new energy batteries and is prone to energy loss caused by battery overheating, and provides a cooling fan intelligent control system based on data acquisition.

[0006] The present invention solves the above technical problems through the following technical solutions. The present invention includes a fan information acquisition module, a battery information acquisition module, an environmental information acquisition module, a data processing module and an information sending module;

[0007] The fan information collection module is used to collect fan related information, and the fan related information includes fan body information and fan installation information;

[0008] The battery collection module is used to collect new energy battery information;

[0009] The environmental information collection module is used to collect the environmental information of the new energy battery and the fan;

[0010] The data processing module is used to process the fan related information, new energy battery information and the surrounding environment information to generate heat dissipation control information, fan control information, battery control information and environment control information;

[0011] The information sending module is used to send the heat dissipation control information, fan control information, battery control information and environment control information to a preset receiving terminal after the above information is generated.

[0012] Furthermore, the process of obtaining the fan related information is as follows:

[0013] Real-time monitoring of fan motor current and voltage , using high-precision electromechanical measurement principles and supporting algorithms to calculate motor torque ;

[0014] Get the real-time speed through the speed sensor installed on the fan shaft and its fluctuations;

[0015] Paste strain gauges or use accelerometers at the root of fan blades to measure blade vibration, including vibration frequency. and amplitude ;

[0016] In addition, a high-precision displacement sensor is set to monitor the loose displacement of the fan installation part. .

[0017] Furthermore, the specific process of obtaining the fan control information is as follows:

[0018] Speed ​​deviation calculation: After receiving the heat dissipation control instruction, the data processing module extracts the control speed from the heat dissipation control instruction , the real-time speed With speed control Compare and calculate the speed deviation and its rate of change ;

[0019] Load Analysis:

[0020] According to the motor torque Based on the change trend, combined with the fan performance curve (after fine calibration and extensive experimental verification), determine whether the fan load has increased abnormally and calculate the load abnormality coefficient ,in is the normal working torque;

[0021] Vibration risk assessment:

[0022] Comparison of fan blade vibration frequency The fan natural frequency , calculate the resonance risk coefficient ,when There is a risk of resonance when

[0023] At the same time, according to the amplitude Based on the fatigue characteristics of the material, the fatigue life loss rate of the blade is estimated by using the fatigue life assessment method of Miner's law. or , For the safety speed deviation, The safety speed deviation change rate is used to determine the fan speed is out of control and generate fan control information. At this time, the content of the fan control information is to adjust the fan drive circuit parameters. If the adjustment is still ineffective after reaching the preset value, a fault alarm is triggered to notify maintenance personnel for repair;

[0024] when , is the load threshold coefficient, that is, the fan control information is generated. At this time, the content of the fan control information is to determine that the fan may have a mechanical failure or blockage, generate a shutdown inspection instruction, and send a fault alarm message to the preset receiving terminal to prompt the maintenance personnel to troubleshoot the problem;

[0025] When a resonance risk is detected, Or if the blade fatigue life loss rate exceeds the safety threshold, fan control information is generated. At this time, the content of the fan control information is to immediately adjust the fan speed and perform blade dynamic balance correction.

[0026] Furthermore, the specific process of the battery information collection module collecting battery information is as follows:

[0027] Temperature sensor deployment: Place high-precision thermistors or thermocouple sensors in the battery module to capture battery heat changes in real time;

[0028] Integrate with BMS to obtain electrical parameters: Integrate with the battery management system (BMS) through the vehicle's CAN bus or other high-speed communication interfaces to obtain battery charge and discharge current and voltage information in real time.

[0029] Furthermore, the specific generation process of the battery management information is as follows:

[0030] Real-time battery heat generation calculation:

[0031] According to Joule's law and the complex electrochemical reaction characteristics inside the battery, the battery generates heat in real time. The calculation formula is: ,in is the battery charging and discharging current, is the battery's ohmic internal resistance, is the battery polarization voltage;

[0032] Considering the heat exchange between the battery housing and the surrounding environment, according to Newton's cooling law, the heat exchange power for: ,in is the comprehensive heat transfer coefficient, is the battery surface area (accurately calculated based on the geometric dimensions of the battery module), It is the difference between the average battery surface temperature and the ambient temperature (measured and calculated in real time by the temperature sensor).

[0033] Net heat generation power of battery This value directly reflects the net growth of battery heat and is the core basis for fan control.

[0034] Fan heat dissipation capacity matching calculation:

[0035] For cooling fans, the air volume is known. Specific heat capacity of air , air density (about 1.29kg / m³, based on the real-time temperature and humidity in the battery compartment - measured by the temperature and humidity sensor and corrected using the ideal gas state equation) and the inlet and outlet temperature difference (obtained from the difference between the battery surface temperature and the fan inlet temperature, which is also measured by the temperature sensor), the cooling power provided by the fan The calculation formula is: ;

[0036] By comparing the net heat generation power of the battery The cooling power currently provided by the fan , calculate the additional cooling power required ;

[0037] when , that is, generate battery management information. At this time, based on the fan performance curve, use the interpolation method or model-based optimization algorithm to calculate the fan speed increase value that meets the additional heat dissipation requirements , adjust the fan speed to increase ;

[0038] Fan speed reduction energy saving determination:

[0039] when And the battery temperature is below the lower limit of the suitable range Plus safety margin temperature ,Right now , determining that the battery temperature is too low and the fan is overheating, then generating battery control information to control and reduce the fan speed;

[0040] Calculate the appropriate fan speed reduction ratio based on the difference between the battery temperature and the lower limit temperature, the fan performance curve, and past energy-saving operation experience data α (value range 0-1), where is the range of the battery's suitable operating temperature. Set the fan's current speed n0 Multiply by the speed reduction ratio α to get the new speed And send battery control information to the fan drive circuit to achieve energy-saving and speed-reducing operation of the fan.

[0041] Furthermore, the process of obtaining the environmental information of the new energy battery and the fan is as follows:

[0042] Ambient temperature measurement:

[0043] High-precision thermistor temperature sensors are installed at the preset positions of the air inlet, air outlet, and battery module in the battery compartment, and the sampling frequency is set to once every 2 seconds to collect ambient temperature data. At the same time, an atmospheric temperature sensor is connected to the vehicle to obtain the external ambient temperature;

[0044] Ambient humidity measurement:

[0045] The capacitive humidity sensor is placed near the temperature sensor, with a sampling frequency of once every 2 seconds to collect the humidity in the battery compartment.

[0046] Ambient dust concentration measurement:

[0047] A laser dust sensor is installed at the entrance of the air duct where air enters the battery compartment, and the sampling frequency is set to once every 5 seconds to detect the content of suspended dust in the air in real time.

[0048] Furthermore, the process of obtaining the environmental control information is as follows:

[0049] Air enthalpy calculation:

[0050] According to the temperature and humidity data collected in the cabin, the formula , calculate the air enthalpy ,in, is the specific heat capacity of air, is the cabin ambient temperature, is the latent heat of vaporization of water; is the relative humidity;

[0051] Calculation of dust pollution risk factor:

[0052] According to the dust concentration in the cabin , Fan running time And the fan air volume , through the formula , calculate the risk factor of dust pollution and blockage of fan blades and air ducts ;

[0053] Set an air enthalpy threshold When the calculated air enthalpy Greater than When the environment control information is generated;

[0054] Setting a dust pollution threshold , when the calculated dust pollution risk factor Greater than When the environment is cleaned, it generates environmental control information and determines that cleaning and maintenance are required.

[0055] Furthermore, the fan control information also includes fan position control information, and the specific process of obtaining the fan position control information is as follows:

[0056] Extract the collected fan-related information, which also includes fan position information. The fan position information is obtained by position sensors set at two preset positions on the cooling fan, and the coordinates of the fan position information are marked as G1 (x1, y1, z1) and G2 (x2, y2, z2).

[0057] A reference point is set on the battery with coordinates Gg (x3, y3, z3);

[0058] The coordinate change value Gv1 between G1 (x1, y1, z1) and Gg (x3, y3, z3), and the coordinate change value Gv2 between G2 (x2, y2, z2) and Gg (x3, y3, z3) are collected in real time. When any one of the position change values ​​Gv1 and Gv2 exceeds the preset range, the fan position control information is generated.

[0059] Compared with the prior art, the present invention has the following advantages: the intelligent control system for the cooling fan based on data acquisition has comprehensive and accurate information acquisition. Through a variety of high-precision sensors, it collects fan-related information in multiple dimensions, such as motor torque, speed, blade vibration, and loose displacement of the installation part, to comprehensively and accurately reflect the operating status of the fan, providing a rich and reliable data basis for subsequent intelligent control.

[0060] Combining high-precision temperature sensors with BMS integration can simultaneously obtain battery thermal changes and charging and discharging electrical parameters, which helps to gain a deeper understanding of the battery's operating status and provide strong support for battery heat dissipation and health management.

[0061] By reasonably setting high-precision sensors at key locations and adopting appropriate sampling frequencies for temperature, humidity, and dust concentration, we can timely and accurately grasp the environmental conditions of new energy batteries and fans, providing a basis for the system to adapt to environmental changes.

[0062] Control strategy: Fine-grained intelligent fan control: The fan operating status is judged through multiple dimensions such as speed deviation, load analysis, and vibration risk assessment. Problems such as speed out of control, load abnormality, and resonance risk can be discovered in a timely manner, and targeted control information can be generated to effectively ensure stable and reliable operation of the fan, prevent failures, and extend the fan's service life.

[0063] The fan position control setting can prevent problems such as uneven heat dissipation or mechanical interference caused by fan displacement by real-time monitoring of the fan's position changes relative to the battery reference point, further improving the stability of fan operation and heat dissipation effect.

[0064] Based on the complex battery heat generation model and fan heat dissipation capacity matching calculation, the fan speed is dynamically adjusted according to the net heat generation power of the battery to achieve on-demand heat dissipation. This can not only avoid energy waste caused by excessive heat dissipation, but also prevent damage to the battery due to insufficient heat dissipation, thereby achieving the dual goals of protecting the battery and saving energy and increasing efficiency.

[0065] Based on the battery temperature and performance indicators, the battery status can also be intelligently determined, and control measures such as limiting charging and discharging currents and starting preheating programs can be taken in a timely manner to maintain good battery performance and safety.

[0066] The impact of the environment on heat dissipation is accurately assessed through air enthalpy value and dust pollution risk factor, and information on measures such as adjusting vents, dehumidification, and cleaning air ducts is generated in a timely manner to optimize the heat dissipation environment, reduce the negative impact of environmental factors on batteries and fans, and improve overall heat dissipation efficiency, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0068] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0069] like Figure 1 As shown, this embodiment provides a technical solution: a cooling fan intelligent control system based on data acquisition, including a fan information acquisition module, a battery information acquisition module, an environmental information acquisition module, a data processing module and an information sending module;

[0070] The fan information collection module is used to collect fan related information, and the fan related information includes fan body information and fan installation information;

[0071] The battery collection module is used to collect new energy battery information;

[0072] The environmental information collection module is used to collect the environmental information of the new energy battery and the fan;

[0073] The data processing module is used to process the fan related information, new energy battery information and the surrounding environment information to generate heat dissipation control information, fan control information, battery control information and environment control information;

[0074] The information sending module is used to send the heat dissipation control information, fan control information, battery control information and environment control information to a preset receiving terminal after the above information is generated.

[0075] Furthermore, the process of obtaining the fan related information is as follows:

[0076] Real-time monitoring of fan motor current and voltage , using high-precision electromechanical measurement principles and supporting algorithms to calculate motor torque ;(like ,in Input power to the motor with an accuracy of ±0.1N・m) to gain insight into the fan workload.

[0077] Get the real-time speed through the speed sensor installed on the fan shaft and its fluctuations, and grasp the fan speed stability in real time.

[0078] Paste a high-precision strain gauge (strain measurement accuracy ±10με) at the root of the fan blade or use a high-sensitivity acceleration sensor (acceleration measurement accuracy ±0.1m / s²) to measure the blade vibration, including the vibration frequency (accuracy ±0.1Hz) and amplitude (Accuracy ±0.05mm);

[0079] In addition, a high-precision displacement sensor (displacement measurement accuracy ±0.05mm) is set to monitor the loose displacement of the fan installation part. , comprehensively ensuring the safe operation of the fan.

[0080] Furthermore, the specific process of obtaining the fan control information is as follows:

[0081] Speed ​​deviation calculation: After receiving the heat dissipation control instruction, the data processing module extracts the control speed from the heat dissipation control instruction , the real-time speed With speed control Compare and calculate the speed deviation and its rate of change , uses a high-precision numerical differentiation algorithm to ensure accurate calculation of deviation and rate of change, providing precise feedback for fan speed control.

[0082] Load Analysis:

[0083] According to the motor torque Based on the change trend, combined with the fan performance curve (after fine calibration and extensive experimental verification), determine whether the fan load has increased abnormally and calculate the load abnormality coefficient ,in The normal working torque is obtained through statistical analysis of a large amount of normal working condition data to ensure that the judgment of load abnormality is accurate and reliable.

[0084] Vibration risk assessment:

[0085] Comparison of fan blade vibration frequency The fan natural frequency (Preliminary determination through professional experiments such as modal analysis, accuracy ±0.1Hz), calculate the resonance risk factor ,when (Safety frequency margin, set to 0.05Hz based on fan material and structural characteristics), there is a risk of resonance;

[0086] At the same time, according to the amplitude Based on the fatigue characteristics of the material (fatigue data such as the SN curve of the fan blade material), and using mature fatigue life assessment methods such as Miner's law, the blade fatigue life loss rate can be estimated with an accuracy of ±5%, providing early warning of the risk of blade fatigue damage.

[0087] like , (safety speed deviation, set to 50rpm) or , For the safety speed deviation, The safe speed deviation change rate (safe speed deviation change rate, set to 10rpm / s) determines that the fan speed is out of control and generates fan control information. At this time, the content of the fan control information is to adjust the fan drive circuit parameters (such as changing the PWM duty cycle to adjust the motor voltage so that the speed returns to normal, and the adjustment accuracy can reach ±0.5%). If the adjustment is still invalid after reaching the preset value, a fault alarm is triggered to notify maintenance personnel for repair;

[0088] when , is the load threshold coefficient, (the load threshold coefficient is set to 0.3), that is, the fan control information is generated. At this time, the content of the fan control information is to determine that the fan may have a mechanical failure or blockage, generate a shutdown inspection instruction, and send a fault alarm information to the preset receiving terminal (such as the vehicle central control system, the maintenance personnel's handheld terminal) to prompt the maintenance personnel to troubleshoot the problem;

[0089] When a resonance risk is detected, Or if the blade fatigue life loss rate exceeds the safety threshold (set to 20%), fan control information is generated. At this time, the content of the fan control information is to immediately adjust the fan speed (avoid the resonant frequency, with an adjustment accuracy of ±1Hz) and perform blade dynamic balance correction.

[0090] Furthermore, the specific process of the battery information collection module collecting battery information is as follows:

[0091] Temperature sensor deployment: Place high-precision thermistors or thermocouple sensors in the battery module to capture battery heat changes in real time;

[0092] Integrate with BMS to obtain electrical parameters: Integrate with the battery management system (BMS) through the vehicle's CAN bus or other high-speed communication interfaces to obtain real-time battery charge and discharge current (accuracy ±0.05A) and voltage (accuracy ±0.05V) information; these electrical parameters are key auxiliary data for subsequent heat calculations and fan control strategy formulation.

[0093] Furthermore, the specific generation process of the battery management information is as follows:

[0094] Real-time battery heat generation calculation:

[0095] According to Joule's law and the complex electrochemical reaction characteristics inside the battery, the battery generates heat in real time. The calculation formula is: ,in is the battery charging and discharging current, is the battery ohmic internal resistance (provided by BMS in real time based on battery aging status, temperature and other factors), is the battery polarization voltage (estimated by real-time monitoring and analysis of the battery charge and discharge curves combined with the built-in electrochemical empirical model). This step accurately quantifies the rate at which the battery itself generates heat.

[0096] Considering the heat exchange between the battery housing and the surrounding environment, according to Newton's cooling law, the heat exchange power for: ,in is the comprehensive heat transfer coefficient (the value range is 5-20W / m²・K, which is dynamically adjusted according to factors such as air flow rate - real-time monitoring by air flow rate sensor, battery surface material and roughness, etc. The initial value can be determined experimentally; it will be optimized by CFD simulation later), is the battery surface area (accurately calculated based on the geometric dimensions of the battery module), It is the difference between the average battery surface temperature and the ambient temperature (measured and calculated in real time by the temperature sensor).

[0097] Net heat generation power of battery This value directly reflects the net growth of battery heat and is the core basis for fan control.

[0098] Fan heat dissipation capacity matching calculation:

[0099] For cooling fans, the air volume is known. (Through the pre-calibrated fan performance curve and the fan speed, which is monitored in real time by the Hall sensor installed on the fan motor, the air volume at different speeds can be accurately obtained in m³ / s), air specific heat capacity (Approximately 1.005 kJ / kg・K at normal temperature and pressure), air density (about 1.29kg / m³, based on the real-time temperature and humidity in the battery compartment - measured by the temperature and humidity sensor and corrected using the ideal gas state equation) and the inlet and outlet temperature difference (obtained from the difference between the battery surface temperature and the fan inlet temperature, which is also measured by the temperature sensor), the cooling power provided by the fan The calculation formula is: ;

[0100] By comparing the net heat generation power of the battery The cooling power currently provided by the fan , calculate the additional cooling power required ;

[0101] like , indicating that the fan's heat dissipation capacity is insufficient and enhanced heat dissipation measures need to be taken;

[0102] like And the battery temperature is stable near the lower limit of the suitable range, consider appropriately reducing the fan energy consumption.

[0103] when , that is, battery management information is generated. At this time, based on the fan performance curve (pre-stored in the system, covering the relationship between fan parameters such as air volume, air pressure, power, etc. under different speeds, voltages, currents, etc., obtained through professional fan performance test experiments), the fan speed increase value that meets the additional heat dissipation requirements is calculated using interpolation or model-based optimization algorithms. , adjust the fan speed to increase For example, if the fan's current speed is n0, the speed needs to be increased to , then send the corresponding PWM control signal to the fan drive circuit to accurately increase the fan speed.

[0104] At the same time, considering the energy efficiency characteristics of the fan, the fan power consumption is continuously monitored during the speed increase process. (measured and calculated in real time by the fan motor current and voltage sensors) and the improvement of the heat dissipation effect (by comparing the battery temperature change rate). If the energy efficiency ratio deteriorates (that is, the temperature reduction effect brought about by the unit power consumption becomes worse), the battery control information is generated, that is, the speed is fine-tuned or other heat dissipation optimization strategies are combined (such as adjusting the air duct layout - through electric adjustment of the air duct valve, if any) to ensure that energy consumption is reduced as much as possible while meeting the heat dissipation requirements.

[0105] Auxiliary cooling startup judgment:

[0106] Fan speed reduction energy saving determination:

[0107] when And the battery temperature is below the lower limit of the suitable range (usually 0-10°C, depending on battery type) plus safety margin temperature (set to 2°C), that is , determining that the battery temperature is too low and the fan is overheating, then generating battery control information to control and reduce the fan speed;

[0108] Calculate the appropriate fan speed reduction ratio based on the difference between the battery temperature and the lower limit temperature, the fan performance curve, and past energy-saving operation experience data α (value range 0-1), where is the range of the battery's suitable operating temperature. Multiply the fan's current speed n0 by the speed reduction ratio α to get the new speed And send battery control information to the fan drive circuit to achieve energy-saving and speed-reducing operation of the fan.

[0109] Furthermore, the process of obtaining the environmental information of the new energy battery and the fan is as follows:

[0110] Ambient temperature measurement:

[0111] High-precision thermistor temperature sensors are installed near the air inlet, air outlet, and battery module in the battery compartment, with an accuracy of up to ±0.2°C. The sampling frequency is set to once every 2 seconds to collect ambient temperature data. At the same time, an atmospheric temperature sensor with an accuracy of ±0.5°C is connected to the vehicle to obtain the external ambient temperature;

[0112] Ambient humidity measurement:

[0113] The capacitive humidity sensor is placed near the temperature sensor, with a sampling frequency of once every 2 seconds to collect the humidity in the battery compartment.

[0114] Ambient dust concentration measurement:

[0115] A laser dust sensor is installed at the entrance of the air duct where the air enters the battery compartment. The accuracy of the sensor can reach ±0.1mg / m³. The sampling frequency is set to once every 5 seconds to detect the content of suspended dust in the air in real time. Since the dust concentration changes relatively slowly, this sampling frequency can both meet the monitoring needs and reasonably control the amount of data collected.

[0116] Furthermore, the process of obtaining the environmental control information is as follows:

[0117] Air enthalpy calculation:

[0118] According to the temperature and humidity data collected in the cabin, the formula , calculate the air enthalpy ,in, is the specific heat capacity of air, which is approximately 1.005 kJ / kg・K at room temperature and pressure: is the cabin ambient temperature, is the latent heat of vaporization of water; is the relative humidity;

[0119] To ensure the accuracy of calculation, double-precision floating point numbers are used for calculation, and the results are optimized by combining the sensor calibration data. , , calculated by the formula (Here Determined according to the physical properties of water). After optimization, the enthalpy calculation accuracy can reach ±0.5kJ / kg.

[0120] Calculation of dust pollution risk factor:

[0121] According to the dust concentration in the cabin (Unit: mg / m³), fan operation time (accurately recorded by the system's built-in clock with an accuracy of ±1 second) and the fan's air volume (By combining the pre-calibrated fan performance curve with the real-time fan speed, which is obtained by the Hall sensor installed on the fan motor, the air volume at different speeds can be accurately obtained in m³ / s). , calculate the risk factor of dust pollution and blockage of fan blades and air ducts ;

[0122] For example, if , the fan running time in a certain period of time is t=3600 seconds, and the fan air volume in this period of time is ,but This coefficient directly reflects the potential risk of dust pollution and blockage of fans and air ducts within a certain period of time.

[0123] Set an air enthalpy threshold , is set to 50kJ / kg according to the heat dissipation requirements of the battery compartment and environmental conditions. Greater than When the fan is in the air, the environment control information is generated; that is, it is determined that the ventilation conditions need to be improved or dehumidification measures need to be taken, and the following fan maintenance information is generated:

[0124] Adjust the size of the vents: If the vehicle is equipped with electrically adjustable vents, the vent opening and closing angle increment is calculated through a pre-set control strategy based on the degree to which the enthalpy value exceeds the threshold For example, if the enthalpy value exceeds the threshold of 10kJ / kg, the corresponding vent opening and closing angle increment is 10°, and a command is sent to the electric adjustment device to accurately adjust the vent size to increase air circulation and improve heat dissipation.

[0125] Turn on the dehumidifier: If the vehicle is equipped with a dehumidifier, calculate the required dehumidification capacity based on the air humidity and enthalpy value, combined with the performance curve of the dehumidifier (determined through experiments, including the relationship between dehumidification power, energy consumption and other parameters under different humidity). , turn on the dehumidification device, set the corresponding working mode and parameters, reduce the humidity in the cabin, reduce the air enthalpy, and optimize the heat dissipation environment.

[0126] Setting a dust pollution threshold , based on the fan type, duct structure and past maintenance experience, is set to 100mg・s / m³. When the calculated dust pollution risk factor Greater than When the environment is cleaned, it generates environmental control information and determines that cleaning and maintenance are required.

[0127] Generate the following fan maintenance information:

[0128] Start the automatic cleaning program: If the vehicle has an automatic cleaning function, such as using compressed air to clean the fan blades and air ducts, calculate the required compressed air pressure based on the degree to which the dust pollution risk factor exceeds the threshold and purge time For example, if the risk factor exceeds the threshold of 50mg・s / m³, the corresponding compressed air pressure is 0.5MPa, the purge time is 30 seconds, and a command is sent to the automatic cleaning device to start the cleaning program, remove dust accumulation in time, and ensure the smooth flow of fans and air ducts.

[0129] Remind the owner to clean regularly: If the vehicle does not have an automatic cleaning function, a cleaning reminder message will be pushed to the owner through the vehicle display or mobile phone APP, informing the owner of the dust pollution situation and the recommended cleaning cycle (dynamically adjusted according to the risk factor. For example, if the risk factor is between 100-200mg・s / m³, the recommended cleaning cycle is 1 month), ensuring that the owner can take manual cleaning measures in time to maintain the normal operation of the fan.

[0130] The fan control information also includes fan position control information. The specific process of obtaining the fan position control information is as follows:

[0131] Extract the collected fan-related information, which also includes fan position information. The fan position information is obtained by position sensors set at two preset positions on the cooling fan, and the coordinates of the fan position information are marked as G1 (x1, y1, z1) and G2 (x2, y2, z2).

[0132] A reference point is set on the battery with coordinates Gg (x3, y3, z3);

[0133] The coordinate change value Gv1 between G1 (x1, y1, z1) and Gg (x3, y3, z3), and the coordinate change value Gv2 between G2 (x2, y2, z2) and Gg (x3, y3, z3) are collected in real time. When any one of the position change values ​​Gv1 and Gv2 exceeds the preset range, the fan position control information is generated.

[0134] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0135] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0136] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A cooling fan intelligent control system based on data acquisition, characterized in that: It includes a fan information collection module, a battery information collection module, an environmental information collection module, a data processing module and an information sending module; The fan information collection module is used to collect fan related information, and the fan related information includes fan body information and fan installation information; The battery information collection module is used to collect new energy battery information; The environmental information collection module is used to collect the environmental information of the new energy battery and the fan; The data processing module is used to process the fan related information, new energy battery information and the surrounding environment information to generate heat dissipation control information, fan control information, battery control information and environment control information; The information sending module is used to send the heat dissipation control information, fan control information, battery control information and environment control information to a preset receiving terminal after the above information is generated; The specific process of the battery information acquisition module collecting battery information is as follows: Temperature sensor deployment: Place high-precision thermistors or thermocouple sensors in the battery module to capture battery heat changes in real time; Integration with BMS to obtain electrical parameters: Through the vehicle's CAN bus or other high-speed communication interface, it integrates with the battery management system to obtain the battery's charge and discharge current and voltage information in real time; The specific generation process of the battery management information is as follows: Real-time battery heat generation calculation: According to Joule's law and the complex electrochemical reaction characteristics inside the battery, the battery generates heat in real time. The calculation formula is: ,in is the battery charging and discharging current, is the battery's ohmic internal resistance, is the battery polarization voltage; Considering the heat exchange between the battery housing and the surrounding environment, according to Newton's cooling law, the heat exchange power for: ,in is the comprehensive heat transfer coefficient, is the battery surface area, It is the difference between the average surface temperature of the battery and the ambient temperature; Net heat generation power of battery ; Fan heat dissipation capacity matching calculation: For cooling fans, the air volume is known. Specific heat capacity of air , air density And the temperature difference between inlet and outlet air , the cooling power provided by the fan The calculation formula is: ; By comparing the net heat generation power of the battery The cooling power provided by the current fan , calculate the additional cooling power required ; when , then the battery management information is generated. At this time, based on the fan performance curve, the fan speed increase value that meets the additional heat dissipation requirements is calculated using interpolation or model-based optimization algorithms. , adjust the fan speed to increase ; Fan speed reduction energy saving determination: when And the battery temperature is below the lower limit of the suitable range Plus safety margin temperature ,Right now , determining that the battery temperature is too low and the fan is overheating, the battery control information is generated to control the fan speed to be reduced; Calculate the appropriate fan speed reduction ratio based on the difference between the battery temperature and the lower limit temperature, the fan performance curve, and past energy-saving operation experience data α ,in The fan current speed is the range of the battery's suitable operating temperature. Multiply by the speed reduction ratio α to get the new speed and sends battery management information to the fan drive circuit.

2. The intelligent control system for cooling fans based on data acquisition according to claim 1 is characterized in that: The process of obtaining the fan related information is as follows: Real-time monitoring of fan motor current and voltage , using high-precision motor measurement principles and supporting algorithms to calculate motor torque ; Get the real-time speed through the speed sensor installed on the fan shaft and its fluctuations; Paste strain gauges or use accelerometers at the root of fan blades to measure blade vibration, including vibration frequency. and amplitude ; In addition, a high-precision displacement sensor is set to monitor the loose displacement of the fan installation part. .

3. The intelligent control system for cooling fans based on data acquisition according to claim 1 is characterized in that: The specific process of obtaining the fan control information is as follows: Speed ​​deviation calculation: After receiving the heat dissipation control instruction, the data processing module extracts the control speed from the heat dissipation control instruction , the real speed nƒ and the control speed Compare and calculate the speed deviation and its rate of change ; Load Analysis: According to the motor torque Based on the change trend and the fan performance curve, determine whether the fan load has increased abnormally and calculate the load abnormality coefficient. ,in is the normal working torque; Vibration risk assessment: Comparison of fan blade vibration frequency The fan natural frequency , calculate the resonance risk coefficient ,when There is a risk of resonance when At the same time, according to the amplitude and material fatigue properties, using the fatigue life assessment method of Miner's law to estimate the blade fatigue life loss rate. , For the safety speed deviation, The safety speed deviation change rate is used to determine the fan speed is out of control and generate fan control information. At this time, the content of the fan control information is to adjust the fan drive circuit parameters. If the adjustment is still ineffective after reaching the preset value, a fault alarm is triggered to notify maintenance personnel for repair; when , is the load threshold coefficient, that is, the fan control information is generated. At this time, the content of the fan control information is to determine that the fan may have a mechanical failure or blockage, generate a shutdown inspection instruction, and send a fault alarm message to the preset receiving terminal to prompt the maintenance personnel to troubleshoot the problem; When resonance risk is detected or the blade fatigue life loss rate exceeds the safety threshold, fan control information is generated. At this time, the content of the fan control information is to immediately adjust the fan speed and perform blade dynamic balance correction.

4. The intelligent control system for cooling fans based on data acquisition according to claim 1 is characterized in that: The process of obtaining the environmental information of the new energy battery and the fan is as follows: Ambient temperature measurement: High-precision thermistor temperature sensors are installed at the preset positions of the air inlet, air outlet, and battery module in the battery compartment, and the sampling frequency is set to once every 2 seconds to collect ambient temperature data. At the same time, an atmospheric temperature sensor is connected to the vehicle to obtain the external ambient temperature; Ambient humidity measurement: The capacitive humidity sensor is placed near the temperature sensor, with a sampling frequency of once every 2 seconds to collect the humidity in the battery compartment; Ambient dust concentration measurement: A laser dust sensor is installed at the entrance of the air duct where air enters the battery compartment, and the sampling frequency is set to once every 5 seconds to detect the content of suspended dust in the air in real time.

5. The intelligent control system for cooling fans based on data acquisition according to claim 4 is characterized in that: The process of obtaining the environmental control information is as follows: Air enthalpy calculation: According to the temperature and humidity data collected in the cabin, the formula , calculate the air enthalpy ,in, is the specific heat capacity of air, is the cabin ambient temperature, is the latent heat of vaporization of water, is the relative humidity; Calculation of dust pollution risk factor: According to the dust concentration in the cabin , Fan running time And the fan air volume , through the formula , calculate the risk factor of dust pollution and blockage of fan blades and air ducts ; Set an air enthalpy threshold When the calculated air enthalpy Greater than When the environment control information is generated; Setting a dust pollution threshold , when the calculated dust pollution risk factor Greater than When the environment is cleaned, it generates environmental control information and determines that cleaning and maintenance are required.

6. The intelligent control system for cooling fans based on data acquisition according to claim 1 is characterized in that: The fan control information also includes fan position control information. The specific process of obtaining the fan position control information is as follows: Extract the collected fan-related information, which also includes fan position information. The fan position information is obtained by position sensors set at two preset positions on the cooling fan, and the coordinates of the fan position information are marked as G1 (x1, y1, z1) and G2 (x2, y2, z2). A reference point is set on the battery with coordinates Gg (x3, y3, z3); The coordinate change value Gv1 between G1 (x1, y1, z1) and Gg (x3, y3, z3), and the coordinate change value Gv2 between G2 (x2, y2, z2) and Gg (x3, y3, z3) are collected in real time. When any one of the position change values ​​Gv1 and Gv2 exceeds the preset range, the fan position control information is generated.

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