Battery heat dissipation intelligent control method, device and equipment

Abstract

The application discloses a battery heat dissipation intelligent control method, device and equipment, through synchronously acquiring three types of temperature data of a preset heating point of a battery cell, a cooling liquid and a passive heat dissipation component, accurately calculating temperature of each link and a temperature difference change rate, realizing multi-parameter collaborative evaluation in combination with attention and normalized weight, and obtaining an evaluation change rate capable of reflecting the overall state of a heat dissipation system. Based on the evaluation change rate, the rotation speed of a water pump is dynamically adjusted, the heat dissipation demand is predicted in advance, control lag is prevented, accurate dynamic regulation and control of battery heat dissipation is realized, battery overheating problems caused by insufficient heat dissipation are effectively solved, energy waste caused by excessive heat dissipation is prevented, and meanwhile, the collaborative work of components of the heat dissipation system is ensured, the safety and service life of the battery pack are improved, and the use demand of the battery of the electric two-wheeled vehicle is adapted.

Description

Technical Field

[0001] This application relates to the field of two-wheeled vehicle charging, and in particular to a method, device and equipment for intelligent control of battery heat dissipation. Background Technology

[0002] The heat dissipation effect of the battery pack in electric two-wheelers directly affects battery safety and lifespan. Current battery heat dissipation control often employs a single temperature threshold trigger mode, adjusting the rotation speed of heat dissipation components solely based on the absolute temperature of the cell or coolant, without considering the temperature change trends and temperature difference relationships of each heat dissipation stage. This control method results in a delayed response, easily leading to insufficient heat dissipation or excessive energy consumption, and it cannot accurately match the coordinated working state of the various components of the heat dissipation system, making it difficult to achieve dynamic and precise control of battery heat dissipation. Summary of the Invention

[0003] This application aims to propose a smart control method, device, and equipment for battery heat dissipation, which can better balance heat dissipation and energy consumption.

[0004] According to a first aspect embodiment of the present application, a battery heat dissipation intelligent control method includes: Acquire first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell inside the battery pack. The second temperature data is the temperature of the coolant in the liquid cooling channel. The third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack casing. Determine the cell temperature change rate based on the first temperature data; Based on the first temperature data and the second temperature data, a first temperature difference change rate is determined. The first temperature difference change rate is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. Based on the second temperature data and the third temperature data, a second temperature difference change rate is determined, which is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. Based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, a first level of concern, a second level of concern, and a third level of concern are determined, wherein the first level of concern is positively correlated with the cell temperature change rate, the second level of concern is positively correlated with the first temperature difference change rate, and the third level of concern is positively correlated with the second temperature difference change rate. The first level of attention, the second level of attention, and the third level of attention are normalized to obtain the first weighting factor, the second weighting factor, and the third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate are weighted and calculated based on the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. The pump speed is adjusted according to the assessed rate of change, and the rate of change of the pump speed is positively correlated with the assessed rate of change.

[0005] The battery heat dissipation intelligent control device according to a second aspect embodiment of the present application is applied to the battery heat dissipation intelligent control system as described in the first aspect embodiment. The battery heat dissipation intelligent control device includes: The data acquisition module is used to acquire first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell in the battery pack, the second temperature data is the temperature of the coolant in the liquid cooling channel, and the third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack casing. The first rate of change determination module is used to determine the cell temperature change rate based on the first temperature data. The second rate of change determination module is used to determine the first temperature difference rate of change based on the first temperature data and the second temperature data. The first temperature difference rate of change is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. The third rate of change determination module is used to determine the second temperature difference rate of change based on the second temperature data and the third temperature data. The second temperature difference rate of change is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. The attention determination module is used to determine a first attention level, a second attention level, and a third attention level based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, wherein the first attention level is positively correlated with the cell temperature change rate, the second attention level is positively correlated with the first temperature difference change rate, and the third attention level is positively correlated with the second temperature difference change rate. The weight determination module is used to normalize the first attention, the second attention, and the third attention to obtain a first weight factor, a second weight factor, and a third weight factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The evaluation module is used to perform weighted calculations on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate based on the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. A speed adjustment module is used to adjust the speed of the water pump according to the evaluated rate of change, wherein the rate of change of the water pump speed is positively correlated with the evaluated rate of change.

[0006] An electronic device according to a third aspect of this application includes: a processor and a memory storing computer program instructions; When the processor executes computer program instructions, it implements the intelligent battery heat dissipation control method as described in the second aspect embodiment.

[0007] The battery heat dissipation intelligent control method, device, and equipment of this application acquire three types of temperature data simultaneously: the preset heat-generating point of the battery cell, the coolant, and the passive heat dissipation components. They accurately calculate the temperature and temperature difference change rate at each stage, and combine attention level and normalized weights to achieve multi-parameter collaborative evaluation, obtaining an evaluation change rate that reflects the overall state of the heat dissipation system. Based on this evaluation change rate, the water pump speed is dynamically adjusted, allowing for advance prediction of heat dissipation needs, preventing control lag, and achieving precise dynamic regulation of battery heat dissipation. This effectively solves the battery overheating problem caused by insufficient heat dissipation while preventing energy waste caused by excessive heat dissipation. Simultaneously, it ensures the coordinated operation of all components of the heat dissipation system, improves battery pack safety and lifespan, and adapts to the usage requirements of electric two-wheeled vehicle batteries.

[0008] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing this application. Attached Figure Description

[0009] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 A flowchart illustrating a smart battery heat dissipation control method provided in this application embodiment; Figure 2 A flowchart of another intelligent battery heat dissipation control method provided in the embodiments of this application; Figure 3 This is a flowchart illustrating the determination of the target fan speed in the intelligent battery heat dissipation control method of this application. Detailed Implementation

[0010] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0011] In the description of this application, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0012] In the description of this application, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0013] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0014] The technical solution of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are some embodiments of this application, not all embodiments.

[0015] like Figure 1 As shown in the figure, this application embodiment also provides a battery heat dissipation intelligent control method, which is applied to a control unit and includes steps S100 to S800. Step S100: Obtain first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell in the battery pack. The second temperature data is the temperature of the coolant in the liquid cooling channel. The third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack. Step S200: Determine the cell temperature change rate based on the first temperature data; Step S300: Based on the first temperature data and the second temperature data, determine the first temperature difference change rate. The first temperature difference change rate is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. Step S400: Determine the second temperature difference change rate based on the second temperature data and the third temperature data. The second temperature difference change rate is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. Step S500: Determine a first level of concern, a second level of concern, and a third level of concern based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The first level of concern is positively correlated with the cell temperature change rate, the second level of concern is positively correlated with the first temperature difference change rate, and the third level of concern is positively correlated with the second temperature difference change rate. Step S600: Normalize the first concern, the second concern, and the third concern to obtain the first weighting factor, the second weighting factor, and the third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. Step S700: The cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate are weighted and calculated according to the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. Step S800: Adjust the pump speed according to the assessed rate of change. The pump speed change rate is positively correlated with the assessed rate of change.

[0016] In this embodiment, by simultaneously acquiring three types of temperature data—the preset heat-generating points of the battery cell, the coolant, and the passive heat dissipation components—the temperature and temperature difference change rate of each stage are accurately calculated. Combining attention level and normalized weights, multi-parameter collaborative evaluation is achieved, yielding an evaluation change rate that reflects the overall state of the heat dissipation system. Based on this evaluation change rate, the water pump speed is dynamically adjusted, allowing for advance prediction of heat dissipation needs, preventing control lag, and achieving precise dynamic control of battery heat dissipation. This effectively solves the battery overheating problem caused by insufficient heat dissipation while preventing energy waste caused by excessive heat dissipation. Simultaneously, it ensures the coordinated operation of all components of the heat dissipation system, improving battery pack safety and lifespan, and adapting to the usage requirements of electric two-wheeled vehicle batteries.

[0017] The aforementioned control unit can be a controller built into the battery (e.g., BMS) or an additional controller (to reduce the computational power required by the battery's built-in controller).

[0018] The aforementioned first temperature data can be obtained by installing temperature sensors at the preset heat points of the cells inside the battery pack, prioritizing locations with severe heat generation, such as the area where the cell tabs are located.

[0019] The aforementioned second temperature data can be obtained by installing a temperature sensor in the liquid cooling channel. The sensor should be placed in a location that avoids the channel entrance and exit as much as possible to reduce the impact of temperature fluctuations. Typically, a section close to the preset heating point of the battery cell can be selected to obtain the actual operating temperature of the coolant more accurately.

[0020] The aforementioned liquid cooling channel can be understood as a channel for the flow of coolant within a liquid cooling device. Liquid cooling devices are typically positioned close to the battery cells to better facilitate thermal interaction with the cells and achieve liquid cooling heat dissipation.

[0021] The aforementioned third temperature data can be obtained by installing a temperature sensor on the surface of the passive heat dissipation component. This passive heat dissipation component can be a heat sink fin or other structure with heat dissipation capabilities. It typically extends beyond the battery pack housing, and its core function is to conduct the heat carried by the coolant in the liquid cooling channel to the outside of the battery pack housing, thus achieving heat dissipation.

[0022] The temperature sensors used to collect the first, second, and third temperature data can be NTC thermistor sensors adapted to the working environment of electric two-wheelers. The sensors collect temperature data in real time at a fixed frequency and transmit the data directly to the control unit after collection, thereby obtaining the first, second, and third temperature data respectively, ensuring the real-time performance and accuracy of the data collection.

[0023] The aforementioned control unit receives the first temperature data transmitted in real time from the temperature sensor, sets a fixed time interval, and continuously records the first temperature data at different times. By comparing the first temperature data at the current time with that at the previous set time interval, the temperature difference between the two is analyzed. Combined with the set time interval, the cell temperature change rate is determined. This parameter can reflect the time-domain change trend of the preset heating point temperature of the cell. The cell temperature change rate can quantify the heating or cooling trend of the preset heating point of the cell, providing a key quantitative basis for determining subsequent heat dissipation requirements. At the same time, it can indirectly reflect the change in the battery's heat intensity, helping the control unit to timely perceive the state of the core heat-generating parts of the battery.

[0024] The aforementioned control unit can simultaneously extract the first and second temperature data collected at the same time, calculate the temperature difference between them, and this difference reflects the heat exchange difference between the preset heating point of the battery cell and the coolant. Subsequently, following the fixed time interval set in step S200, the above temperature difference at different times is continuously recorded. By comparing the temperature difference between the current time and the previous set time interval, the change in the difference is analyzed, thereby determining the first temperature difference change rate. This change rate can clearly indicate the changing trend of the temperature difference between the preset heating point of the battery cell and the coolant, intuitively reflecting the change in the heat exchange efficiency between the two. Accurately capturing the changes in the heat exchange state between the battery cell and the coolant can promptly detect abnormal fluctuations in the coolant's heat absorption capacity. For example, when the temperature difference change rate continues to increase, it can be judged in advance that the coolant's heat absorption capacity is insufficient, providing a reliable basis for subsequent adjustment of the coolant circulation speed.

[0025] The aforementioned control unit can simultaneously extract the second and third temperature data collected at the same time, calculate the temperature difference between them, and this difference reflects the thermal conduction difference between the coolant and the passive heat dissipation components. Using the aforementioned fixed time interval, the temperature difference at different times is continuously recorded. By comparing the temperature difference between the current time and the previous set time interval, the change in the difference is analyzed to determine the second temperature difference change rate. This change rate clearly indicates the trend of the temperature difference between the coolant and the passive heat dissipation components, intuitively reflecting the change in the efficiency of heat transfer from the coolant to the passive heat dissipation components. Real-time monitoring of the thermal conduction efficiency between the coolant and the passive heat dissipation components allows for timely detection of heat dissipation anomalies in the passive heat dissipation components. For example, when the temperature difference change rate continuously increases, it can be determined that the heat dissipation of the passive heat dissipation components is obstructed, facilitating timely countermeasures. Simultaneously, it improves the status monitoring of each link in the heat dissipation system, realizing the capture of the entire temperature change trend from cell heating to coolant heat absorption and then to passive heat dissipation, providing comprehensive support for subsequent coordinated control and preventing overall heat dissipation failure due to abnormalities in the passive heat dissipation link.

[0026] After acquiring the three rates of change determined in steps S200, S300, and S400, the control unit can determine the corresponding first, second, and third levels of concern based on preset influence coefficients. The preset influence coefficients can be set according to the importance of each rate of change to heat dissipation control. The influence coefficient for changes in battery cell temperature is the highest, followed by the rate of change in the temperature difference between the battery cell and the coolant, and finally the rate of change in the temperature difference between the coolant and passive heat dissipation components. The three levels of concern are positively correlated with their corresponding rates of change; that is, the larger the absolute value of the corresponding rate of change, the higher the level of concern, indicating that the heat dissipation status of that stage has a more significant impact on the overall heat dissipation system and requires focused attention. By setting these levels of concern, the importance of each heat dissipation stage is clarified, prioritizing the core impact of changes in battery cell temperature to ensure that heat dissipation control always prioritizes battery cell safety. Simultaneously, the impact of coolant heat absorption and passive heat dissipation is considered to prevent single-stage anomalies from being overlooked, achieving coordinated attention to multiple stages. Furthermore, the positive correlation between the level of concern and the rate of change allows the control unit to quickly focus on stages with abnormal changes, improving the targeting and efficiency of heat dissipation control.

[0027] The aforementioned control unit can normalize the three concerns determined in step S500. First, it calculates the sum of the three concerns. Then, it correlates each concern with this sum to obtain corresponding weighting factors: the first weighting factor, the second weighting factor, and the third weighting factor. After normalization, the sum of the three weighting factors is 1. The magnitude of each weighting factor directly corresponds to the influence of the rate of change represented by its corresponding concern on the overall state of the heat dissipation system. The larger the weighting factor, the more significant the impact of the corresponding rate of change. Through normalization, the three concerns are transformed into quantifiable and comparable weighting factors, solving the problem of direct comparison and superposition between different concerns. This makes the influence of each rate of change on the overall heat dissipation control clearer, ensuring the rationality and scientific nature of subsequent weighted calculations. Simultaneously, the setting of weighting factors allows the heat dissipation control to be dynamically adjusted according to the actual influence of each link, reducing excessive interference from irrelevant links in the control logic and improving the accuracy of heat dissipation control.

[0028] The aforementioned control unit can perform weighted calculations by associating the three rates of change determined in steps S200, S300, and S400 with the corresponding weighting factors obtained in step S600, and summing the association results of each rate of change with the corresponding weighting factors to finally obtain the evaluated rate of change. This evaluated rate of change integrates information from three dimensions: cell temperature change, temperature difference between the cell and coolant, and temperature difference between the coolant and passive heat dissipation components. It can comprehensively and objectively reflect the overall operating status and temperature change trend of the entire heat dissipation system. The evaluated rate of change achieves a comprehensive assessment of the overall state of the heat dissipation system, preventing the one-sidedness caused by a single rate of change assessment. It solves the deficiency in existing technologies where heat dissipation control relies on only a single parameter and cannot comprehensively reflect the system state. It can accurately capture the dynamic change trend of the entire heat dissipation system, providing a comprehensive and reliable core basis for subsequent water pump speed adjustment, ensuring that the speed adjustment can adapt to the overall needs of the heat dissipation system, and improving the scientificity and rationality of heat dissipation control.

[0029] The aforementioned control unit uses the assessed rate of change obtained in step S700 as the core basis for adjusting the water pump speed, and the two rates of change are positively correlated. When the assessed rate of change is positive and the value increases, it indicates that the temperature of the entire heat dissipation system is trending upward, and the heat dissipation demand is increasing. At this time, the control unit controls the water pump speed to increase, accelerate the circulation speed of the coolant in the liquid cooling channel, and improve the heat absorption and conduction efficiency of the coolant. When the assessed rate of change is negative and the value decreases (the absolute value increases), it indicates that the temperature of the entire heat dissipation system is trending downward, and the heat dissipation demand is decreasing. At this time, the control unit controls the water pump speed to decrease, reduce energy consumption, and achieve a balance between heat dissipation efficiency and energy consumption.

[0030] In some implementations, a first level of concern, a second level of concern, and a third level of concern are determined based on the cell temperature change rate, a first temperature difference change rate, and a second temperature difference change rate, including: Determine the first absolute value, the second absolute value, and the third absolute value corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate; The first level of attention is obtained by multiplying the preset first influence coefficient with the first absolute value; The second level of attention is obtained by multiplying the preset second influence coefficient with the second absolute value. The third level of attention is obtained by multiplying the preset third influence coefficient with the third absolute value; Among them, the sum of the preset first influence coefficient, the preset second influence coefficient and the preset third influence coefficient is 1, and the preset first influence coefficient is greater than the preset second influence coefficient and the preset third influence coefficient.

[0031] In this embodiment, by calculating using the absolute value of the rate of change, the severity of temperature changes in each dimension can be uniformly quantified. Regardless of whether the temperature is rising or falling, the state fluctuation of the corresponding stage can be objectively reflected. The differentiated influence coefficient settings can highlight the core position of the preset heat dissipation point temperature dimension of the battery cell in heat dissipation control, allowing the allocation of attention to better match the actual priority of battery heat dissipation needs.

[0032] In some implementations, the first influence coefficient is preset to 0.5, the second influence coefficient is preset to 0.35, and the third influence coefficient is preset to 0.15.

[0033] In this embodiment, the control unit can pre-store fixed-value influence coefficients, where the preset first influence coefficient is 0.5, the preset second influence coefficient is 0.35, and the preset third influence coefficient is 0.15. The sum of the three coefficients is 1, and the preset first influence coefficient is greater than the preset second influence coefficient, and the preset second influence coefficient is greater than the preset third influence coefficient. When calculating the attention level for each dimension, the control unit directly retrieves the above-mentioned preset coefficients and performs multiplication operations with the absolute value of the cell temperature change rate, the absolute value of the first temperature difference change rate, and the absolute value of the second temperature difference change rate, respectively, to obtain the corresponding first attention level, second attention level, and third attention level.

[0034] In this embodiment, the coefficient values ​​for the coolant and passive heat dissipation components are reasonably allocated, taking into account the status monitoring weights of both heat transfer and dissipation stages, making the attention calculation more aligned with the entire liquid cooling process's operational logic. The fixed coefficient values ​​provide a unified standard for attention calculation, improving the consistency and repeatability of control logic across different application scenarios, while also facilitating subsequent targeted parameter calibration and optimization based on battery type, fast charging power, and other operating conditions.

[0035] In some implementations, the first level of concern, the second level of concern, and the third level of concern are normalized to obtain a first weighting factor, a second weighting factor, and a third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, including: Calculate the sum of the first level of attention, the second level of attention, and the third level of attention to obtain the total attention. Calculate the quotients of the first level of attention, the second level of attention, and the third level of attention to the total level of attention, respectively, to obtain the first weighting factor, the second weighting factor, and the third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate.

[0036] After acquiring the values ​​of the first, second, and third levels of concern, the control unit first performs a summation operation, adding the values ​​of the three levels of concern to obtain the total level of concern. Then, it performs division operations on the values ​​of the first, second, and third levels of concern with the total level of concern, and the resulting quotients are successively determined as the first, second, and third weighting factors for the corresponding cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The sum of the three weighting factors is 1.

[0037] In this embodiment, by summing and then quotienting for normalization, different levels of attention can be transformed into comparable weighting factors, achieving a unified quantification of the proportion of heat dissipation demand in each dimension. The characteristic that the sum of the three weighting factors is 1 allows the priority of demand in each stage—heat generation at the pre-set heat source of the battery cell, heat absorption by the coolant, and heat exchange by passive cooling components—to be intuitively reflected through their weighting proportions, providing a rigorous data foundation for subsequent weighted calculation and evaluation of the rate of change. Simultaneously, this approach reduces the interference of differences in attention values ​​under different operating conditions on the control results, improving the consistency and accuracy of the water pump speed adjustment strategy.

[0038] In some implementations, if the first weighting factor is less than 0.3, the first weighting factor is assigned a value of 0.3, and based on the difference between the first weighting factor before assignment and 0.3, the second weighting factor and the third weighting factor are compensated proportionally so that the sum of the first weighting factor, the second weighting factor, and the third weighting factor is 1.

[0039] After obtaining the first weighting factor, the second weighting factor, and the third weighting factor, the control unit first judges the value of the first weighting factor. If the value of the first weighting factor is detected to be less than 0.3, the value of the first weighting factor is directly assigned to 0.3, and the difference between the first weighting factor before assignment and 0.3 is calculated. Subsequently, according to the original proportions of the second and third weighting factors, the above difference is proportionally allocated and deducted to complete the adjustment of the values ​​of the second and third weighting factors, ensuring that the sum of the values ​​of the first, second, and third weighting factors after adjustment remains at 1. The adjusted weighting factors are used for the subsequent weighted calculation of the rate of change.

[0040] In this embodiment, the weight adjustment method can constrain the first weight factor to a minimum value, effectively preventing the weight of the preset heat-generating point temperature dimension of the battery cell from being too low. This ensures the priority of the preset heat-generating point, a core heat-generating part of the battery, in heat dissipation control, ensuring that the control logic always aligns with the core needs of battery heat dissipation. By proportionally compensating the second and third weight factors, the difference caused by the adjustment of the first weight factor can be made up, maintaining the rigor of the calculation logic that the sum of the weight factors is 1. It can also reduce the excessive impact of adjusting the weight of a single dimension on other dimensions, taking into account the control weight of the coolant heat absorption and the heat exchange of passive heat dissipation components, further improving the rationality and reliability of the overall heat dissipation control strategy.

[0041] In some embodiments, the above-mentioned intelligent battery heat dissipation control method further includes: An over-temperature alarm is generated when the first temperature data exceeds a preset first temperature threshold, and / or when the second temperature data exceeds a preset second temperature threshold, and / or when the third temperature data exceeds a preset third temperature threshold.

[0042] The aforementioned control unit pre-stores a first preset temperature threshold, a second preset temperature threshold, and a third preset temperature threshold, which correspond to and match the first, second, and third temperature data, respectively. During the execution of the intelligent battery heat dissipation control process, the control unit compares the acquired first, second, and third temperature data with their corresponding preset temperature thresholds in real time. If any one or more of the following conditions are detected: the first temperature data exceeds the first preset temperature threshold, the second temperature data exceeds the second preset temperature threshold, or the third temperature data exceeds the third preset temperature threshold, the control unit will automatically generate an over-temperature alarm to report the system's over-temperature abnormality.

[0043] In this embodiment, by setting preset temperature thresholds for three key heat dissipation links—the pre-set heat dissipation point of the battery cell, the coolant, and the passive heat dissipation components—and comparing them in real time, over-temperature anomalies in each link can be detected in a timely manner. This enables over-temperature early warning for the entire battery liquid cooling heat dissipation chain, which helps improve the system's safety protection capabilities. The generation of over-temperature alarm information can promptly report system anomalies, facilitating timely intervention by relevant personnel or associated control units. This helps reduce the adverse effects of over-temperature on the battery and liquid cooling system, further ensuring the safe operation of the battery and the stability and reliability of the entire liquid cooling heat dissipation system.

[0044] In some embodiments, the above-mentioned intelligent battery heat dissipation control method further includes: Based on the third temperature data, determine the rate of change in heat dissipation; If the rate of change in heat dissipation exceeds the preset rate of change in heat dissipation temperature, an alarm message for abnormal heat dissipation will be generated.

[0045] During the execution of the intelligent battery heat dissipation control process, the aforementioned control unit synchronously acquires the third temperature data (i.e., the temperature data of the passive heat dissipation component) transmitted by the third temperature sensor in real time. Based on the third temperature data from two adjacent acquisition cycles, it determines the heat dissipation change rate through a preset calculation method. This heat dissipation change rate is used to reflect the time-domain temperature change trend of the passive heat dissipation component. The control unit pre-stores a preset heat dissipation temperature change rate to determine whether the heat exchange state of the passive heat dissipation component is abnormal. The control unit compares the calculated heat dissipation change rate with the preset heat dissipation temperature change rate in real time. If the heat dissipation change rate is detected to exceed the preset heat dissipation temperature change rate, it automatically generates a heat dissipation abnormality alarm message to report the abnormal heat exchange situation of the passive heat dissipation component.

[0046] In this embodiment, the heat dissipation change rate is determined by a third temperature data point, which can accurately capture fluctuations in the heat exchange state of passive heat dissipation components. This allows for targeted monitoring of operational anomalies in the heat dissipation terminal, filling the gap in heat dissipation efficiency degradation that cannot be detected by simply monitoring for over-temperature. When the heat dissipation change rate exceeds a preset threshold, a heat dissipation anomaly alarm is generated, providing timely feedback on heat exchange anomalies in passive heat dissipation components. This facilitates timely troubleshooting of passive heat dissipation component faults such as dust accumulation or blockages by relevant personnel or related modules, helping to reduce the risk of overall heat dissipation system performance degradation due to heat dissipation terminal anomalies. This further improves the anomaly protection system across the entire battery liquid cooling heat dissipation chain, ensuring the stable operation of the liquid cooling system and the safe use of the battery.

[0047] In some implementations, reference Figure 2 The above-mentioned intelligent control method for battery heat dissipation also includes steps S900 to S1200. Step S900: Obtain ambient temperature data, which is the temperature of the environment in which the electric two-wheeler is located; Step S1000: Determine the internal and external temperature difference based on the third temperature data and the ambient temperature data; Step S1100: Determine the target fan speed based on the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold. The target fan speed is positively correlated with the temperature difference. Step S1200: Adjust the speed of the cooling fan according to the target fan speed. The cooling fan is used to dissipate heat from passively cooled components.

[0048] The aforementioned cooling fan is used to realize the heat exchange between the passive heat dissipation component and the external environment, or in other words, to quickly exhaust the heat released by the passive heat dissipation component into the external environment, or to quickly send the outside cold air to the area where the passive heat dissipation component is located, so as to achieve the purpose of cooling the heat dissipation component.

[0049] The aforementioned ambient temperature data can be obtained by installing a temperature sensor at a suitable location on the electric two-wheeler. This location should ideally avoid direct sunlight, battery pack heat radiation, and the heat generated by other vehicle components. The area below the front of the vehicle, away from the battery pack and with good ventilation, should be prioritized to ensure the collected temperature accurately reflects the ambient temperature. The sensor can be an NTC thermistor sensor, the same model as the aforementioned temperature sensor, suitable for the high and low temperature and interference resistance requirements of outdoor riding. It establishes a signal connection with the control unit, collecting and transmitting the ambient temperature data in real time to provide environmental reference for subsequent fan speed control.

[0050] The aforementioned control unit can extract third-party temperature data and ambient temperature data from the control unit's buffer area. Through a built-in calculation module, it calculates the difference between the two types of data to obtain the real-time internal and external temperature difference between the passive cooling component and the external environment. This real-time internal and external temperature difference is then compared with a preset temperature difference threshold range to preliminarily determine the current heat accumulation level of the passive cooling component, providing a basis for subsequent fan speed adjustment. Using the temperature difference between the passive cooling component and the environment as the core indicator for fan speed adjustment directly reflects the actual heat exchange requirements of the passive cooling component, preventing the one-sidedness of controlling with a single temperature parameter. The temperature difference calculation and threshold comparison logic is simple and efficient, requiring less computing power from the control unit, enabling real-time judgment, ensuring timely fan speed adjustment, and simultaneously completing the temperature difference threshold comparison in advance, providing clear pre-judgment conditions for subsequent fan start / stop and speed adjustment, improving the continuity of the control process.

[0051] The aforementioned control unit can calculate the difference between the real-time internal and external temperature difference and the preset start-up temperature difference threshold. Based on the magnitude of this difference, it determines the heat exchange demand level of the passive cooling components and outputs a corresponding speed control signal based on the heat exchange demand level. This ensures that the target speed of the cooling fan is positively correlated with the temperature difference. When the temperature difference does not reach the start-up threshold, the fan is controlled to stop; when the temperature difference exceeds the full-speed threshold, the fan is controlled to run at its rated maximum speed. This achieves smooth adaptive adjustment of the cooling fan speed, avoiding sudden speed changes caused by segmented control, reducing system operating noise and energy waste. The target speed is positively correlated with the temperature difference; the higher the heat dissipation demand, the faster the speed. This accurately matches the heat exchange efficiency of the passive cooling components, breaking through the efficiency bottleneck of natural heat dissipation. Furthermore, the fan's start-up, shutdown, and speed adjustment are entirely based on actual heat dissipation needs, adapting to heat dissipation requirements under different seasons and operating conditions, significantly improving the system's adaptability.

[0052] In this embodiment, the fan speed is determined by calculating the temperature difference between the passive heat dissipation component and the environment, combined with a preset threshold, to achieve continuous stepless speed regulation of the fan and prevent sudden speed changes caused by segmented control. Furthermore, by combining the aforementioned water pump control logic and the coordinated control logic of the water pump and fan, heat dissipation efficiency is enhanced under high-heat conditions, energy consumption is reduced under low-power conditions, and excessive heat dissipation is avoided in cold environments. This significantly improves the adaptability of the liquid cooling system and extends battery life.

[0053] In some implementations, the target fan speed is determined based on the temperature difference between the internal and external temperature differences and a preset start-up temperature difference threshold, including: Determine the temperature difference between the internal and external temperatures and the preset start-up temperature threshold. Determine the baseline difference between the preset start-up temperature difference threshold and the preset full-speed temperature difference threshold; Divide the temperature difference value and the baseline difference value by a division operation to obtain the percentage of the difference; The target fan speed is determined based on the percentage difference and the preset full-speed fan speed.

[0054] The aforementioned control unit first calculates the difference between the real-time internal and external temperature difference and the preset start-up temperature difference threshold to obtain the temperature difference value; then it calculates the difference between the preset start-up temperature difference threshold and the preset full-speed temperature difference threshold to obtain the baseline difference value; subsequently, it divides the temperature difference value by the baseline difference value to obtain the percentage of the difference; finally, it multiplies this percentage of the difference by the preset full-speed fan speed to calculate the target fan speed. When the temperature difference value is less than or equal to 0, the fan is controlled to remain off; when the temperature difference value is greater than or equal to the baseline difference value, the fan is controlled to run at the preset full-speed fan speed.

[0055] The preset start-up temperature difference threshold is less than the preset full-speed temperature difference threshold. For example, the preset start-up temperature difference threshold is 6 degrees Celsius, and the preset full-speed temperature difference threshold is 35 degrees Celsius.

[0056] The preset full-speed fan speed mentioned above can be understood as the rated airflow speed of the cooling fan.

[0057] In this embodiment, continuous stepless control of the cooling fan speed is achieved by multiplying the difference ratio by the full-speed rotation, avoiding sudden speed changes caused by segmented control and reducing system operating noise. The target fan speed is linearly related to the temperature difference, which can accurately match the real-time heat exchange requirements of passive cooling components, ensuring heat dissipation efficiency while preventing energy waste caused by ineffective high-speed fan operation. This calculation logic is simple and efficient, requires less computing power from the control unit, and is easy to integrate with existing water pump speed control logic without requiring significant modifications to the system hardware, thus improving the engineering adaptability of the solution.

[0058] In some embodiments, the above-mentioned intelligent battery heat dissipation control method further includes: If the ambient temperature data is less than or equal to the preset low ambient temperature threshold, and the first temperature data is less than the preset start-up temperature, the cooling fan will be controlled to stop rotating.

[0059] The aforementioned control unit can retrieve ambient temperature data and first temperature data in real time, as well as pre-stored preset low-temperature threshold ambient temperature and preset start-up temperature. The control unit performs dual condition judgment on the two types of temperature data and their corresponding thresholds. When the conditions of ambient temperature data being less than or equal to the preset low-temperature threshold ambient temperature and first temperature data being less than the preset start-up temperature are met simultaneously, a shutdown control signal is immediately output to cut off the power supply circuit of the cooling fan and control the cooling fan to stop rotating. If either condition is not met, the fan is controlled to run according to the conventional speed regulation logic.

[0060] In this embodiment, this control logic can accurately identify the low-load state of the battery in cold environments, preventing energy waste caused by the ineffective operation of the cooling fan and improving the energy efficiency of the liquid cooling system. It can also prevent excessive battery cooling caused by continuous fan cooling in cold environments, effectively alleviating the problem of slow battery warm-up and ensuring normal battery start-up and charge / discharge performance in low-temperature environments. Furthermore, it can reduce unnecessary mechanical wear on the fan in low-temperature environments, extending the fan's lifespan, while preventing capacity decay due to excessive heat dissipation at low temperatures, further improving the overall battery lifespan and safety.

[0061] In some implementations, reference Figure 3 The target fan speed is determined based on the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold, including steps S1110 to S1150. Step S1110: Determine the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold. Step S1120: Determine the reference difference between the preset start-up temperature difference threshold and the preset full-speed temperature difference threshold; Step S1130: Perform a division operation on the temperature difference and the baseline difference to obtain the percentage of the difference; Step S1140: Determine the intermediate speed based on the difference ratio and the preset full-speed fan speed; Step S1150: Using a preset fan speed adjustment coefficient and an evaluation rate of change, the intermediate speed is corrected to determine the target fan speed. The evaluation rate of change is positively correlated with the amount of correction to the intermediate speed.

[0062] The control unit first calculates the difference between the real-time internal and external temperature difference and the preset start-up temperature difference threshold to obtain the temperature difference value; then it calculates the difference between the preset start-up temperature difference threshold and the preset full-speed temperature difference threshold to obtain the baseline difference value; subsequently, it divides the temperature difference value by the baseline difference value to obtain the difference ratio, and multiplies this ratio by the preset full-speed fan speed to calculate the intermediate speed. The control unit retrieves the evaluation change rate generated by the water pump speed regulation process, combines it with the pre-stored preset fan speed adjustment coefficient, and calculates the speed correction amount. The evaluation change rate and the correction amount are positively correlated. Finally, the intermediate speed is superimposed with this correction amount to obtain the final target fan speed.

[0063] In this embodiment, based on the fundamental calculation of temperature difference combined with the correction of the water pump's rate of change, coordinated control of the water pump and fan is achieved. This allows the fan speed to not only match the heat exchange requirements of passive cooling components but also respond to changes in the heat intensity of the core heat-generating parts of the battery, improving the accuracy of the entire cooling process. Simultaneously, the calculation method of the difference percentage ensures continuous stepless adjustment of the fan speed, avoiding sudden speed changes in segmented control and reducing operating noise and energy waste. Furthermore, under high-heat conditions, an increase in the rate of change can automatically increase the fan speed to enhance the cooling effect; under low-heat conditions, a decrease in the correction amount prevents the fan from running at ineffective high speeds, balancing cooling efficiency and energy-saving requirements.

[0064] In some implementations, the target fan speed is constrained by the following formula: V_fan_final=V_fan×(1+α×K_eval); In the formula, V_fan_final is the target fan speed, V_fan is the intermediate speed, K_eval is the evaluation rate of change, and α is the preset fan speed adjustment coefficient.

[0065] In this embodiment, the formula calculation logic is simple and efficient, requires less computing power from the control unit, and can realize real-time dynamic correction of fan speed, ensuring timely heat dissipation response under high heat conditions.

[0066] In some implementations, the preset fan speed adjustment coefficient ranges from 0.1 to 0.2.

[0067] In this embodiment, the value range of 0.1 to 0.2 precisely limits the correction range of the fan speed, avoiding sudden changes in fan speed due to excessively large α, reducing system operating noise and fan mechanical wear, while preventing insufficient coordinated control between the water pump 104 and the fan due to excessively small α, ensuring the effectiveness of the dual actuator linkage. Furthermore, this value range is adaptable to different types of two-wheeled vehicle batteries and fast-charging conditions. Under high-heat conditions, as the rate of change K_eval increases, the fan speed is moderately increased, enhancing the overall heat dissipation effect; under low-heat conditions, the correction amount is controllable, avoiding ineffective fan speed increases, balancing heat dissipation efficiency and energy consumption control. This value range has been verified through engineering practice, possessing strong universality and practicality, eliminating the need for complex parameter debugging procedures, reducing system production and debugging costs, and facilitating large-scale application.

[0068] The battery heat dissipation intelligent control method provided in this application can be executed by a battery heat dissipation intelligent control device. This application uses the execution of the battery heat dissipation intelligent control method by a battery heat dissipation intelligent control device as an example to illustrate the battery heat dissipation intelligent control device provided in this application.

[0069] This application also provides a battery heat dissipation intelligent control device, applied to the battery heat dissipation intelligent control system described above. The battery heat dissipation intelligent control device includes: The data acquisition module is used to acquire first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell in the battery pack, the second temperature data is the temperature of the coolant in the liquid cooling channel, and the third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack. The first rate of change determination module is used to determine the cell temperature change rate based on the first temperature data. The second rate of change determination module is used to determine the first temperature difference rate of change based on the first temperature data and the second temperature data. The first temperature difference rate of change is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. The third rate of change determination module is used to determine the second temperature difference rate of change based on the second temperature data and the third temperature data. The second temperature difference rate of change is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. The attention determination module is used to determine a first attention level, a second attention level, and a third attention level based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The first attention level is positively correlated with the cell temperature change rate, the second attention level is positively correlated with the first temperature difference change rate, and the third attention level is positively correlated with the second temperature difference change rate. The weight determination module is used to normalize the first concern, the second concern, and the third concern to obtain the first weight factor, the second weight factor, and the third weight factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The evaluation module is used to perform weighted calculations on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate based on the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. The speed adjustment module is used to adjust the pump speed according to the assessed rate of change, and the pump speed change rate is positively correlated with the assessed rate of change.

[0070] This application also provides an electronic device, including: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the above-described intelligent battery heat dissipation control method. The source table provided in this application can implement each process of the above-described intelligent battery heat dissipation control method embodiment and achieve the same beneficial effects; to avoid repetition, it will not be described again here.

[0071] This application also provides a computer-readable storage medium storing computer-executable instructions that are executed by a processor or control unit, causing the processor to perform the battery heat dissipation intelligent control method in the above embodiments, for example, to perform the method described above.

[0072] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0073] The functional blocks shown in the above structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. The programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM, floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0074] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0075] It should also be noted that the user information involved in this application, including but not limited to user device information and user personal information, and the data, including but not limited to data used for analysis, stored data, and displayed data, are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with relevant regulations. The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

[0076] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0077] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A smart control method for battery heat dissipation, characterized in that, include: Acquire first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell inside the battery pack. The second temperature data is the temperature of the coolant in the liquid cooling channel. The third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack casing. Determine the cell temperature change rate based on the first temperature data; Based on the first temperature data and the second temperature data, a first temperature difference change rate is determined. The first temperature difference change rate is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. Based on the second temperature data and the third temperature data, a second temperature difference change rate is determined, which is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. Based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, a first level of concern, a second level of concern, and a third level of concern are determined, wherein the first level of concern is positively correlated with the cell temperature change rate, the second level of concern is positively correlated with the first temperature difference change rate, and the third level of concern is positively correlated with the second temperature difference change rate. The first level of attention, the second level of attention, and the third level of attention are normalized to obtain the first weighting factor, the second weighting factor, and the third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate are weighted and calculated based on the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. The pump speed is adjusted according to the assessed rate of change, and the rate of change of the pump speed is positively correlated with the assessed rate of change.

2. The intelligent battery heat dissipation control method according to claim 1, characterized in that, The step of determining the first level of concern, the second level of concern, and the third level of concern based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate includes: Determine the first absolute value, the second absolute value, and the third absolute value corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate; The first influence coefficient is multiplied by the first absolute value to obtain the first level of attention; The second degree of attention is obtained by multiplying the preset second influence coefficient with the second absolute value; The third degree of attention is obtained by multiplying the preset third influence coefficient with the third absolute value; Wherein, the sum of the preset first influence coefficient, the preset second influence coefficient, and the preset third influence coefficient is 1, and the preset first influence coefficient is greater than the preset second influence coefficient and the preset third influence coefficient.

3. The intelligent battery heat dissipation control method according to claim 1, characterized in that, The normalization process for the first level of attention, the second level of attention, and the third level of attention yields a first weighting factor, a second weighting factor, and a third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, including: Calculate the sum of the first level of attention, the second level of attention, and the third level of attention to obtain the total level of attention; Calculate the quotients of the first level of attention, the second level of attention, and the third level of attention to the total level of attention, respectively, to obtain the first weighting factor, the second weighting factor, and the third weighting factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate.

4. The intelligent battery heat dissipation control method according to claim 1, characterized in that, If the first weight factor is less than 0.3, the first weight factor is assigned a value of 0.3, and based on the difference between the first weight factor before assignment and 0.3, the second weight factor and the third weight factor are compensated proportionally so that the sum of the first weight factor, the second weight factor, and the third weight factor is 1.

5. The intelligent battery heat dissipation control method according to claim 1, characterized in that, Also includes: Based on the third temperature data, determine the rate of change in heat dissipation; If the rate of change in heat dissipation exceeds the preset rate of change in heat dissipation temperature, an alarm message for abnormal heat dissipation is generated.

6. The intelligent battery heat dissipation control method according to claim 1, characterized in that, Also includes: Acquire ambient temperature data, wherein the ambient temperature data is the temperature of the environment in which the electric two-wheeled vehicle is located; The internal and external temperature difference is determined based on the third temperature data and the ambient temperature data; The target fan speed is determined based on the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold. The target fan speed is positively correlated with the temperature difference. The speed of the cooling fan is adjusted according to the target fan speed, and the cooling fan is used to dissipate heat from the passive cooling component.

7. The intelligent battery heat dissipation control method according to claim 6, characterized in that, Also includes: If the ambient temperature data is less than or equal to a preset low ambient temperature threshold, and the first temperature data is less than a preset start-up temperature, the cooling fan is controlled to stop rotating.

8. The intelligent battery heat dissipation control method according to claim 6, characterized in that, The step of determining the target fan speed based on the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold includes: Determine the temperature difference between the internal and external temperature difference and the preset start-up temperature difference threshold; Determine the reference difference between the preset start-up temperature difference threshold and the preset full-speed temperature difference threshold; The temperature difference and the baseline difference are divided to obtain the percentage of the difference. The intermediate speed is determined based on the percentage difference and the preset full-speed fan speed; The intermediate fan speed is corrected using a preset fan speed adjustment coefficient and the evaluated rate of change to determine the target fan speed, wherein the evaluated rate of change is positively correlated with the amount of correction to the intermediate fan speed.

9. A battery heat dissipation intelligent control device, characterized in that, include: The data acquisition module is used to acquire first temperature data, second temperature data, and third temperature data. The first temperature data is the temperature of the preset heating point of the cell in the battery pack, the second temperature data is the temperature of the coolant in the liquid cooling channel, and the third temperature data is the temperature of the passive heat dissipation component. The passive heat dissipation component is used to conduct the heat of the coolant in the liquid cooling channel to the outside of the battery pack casing. The first rate of change determination module is used to determine the cell temperature change rate based on the first temperature data. The second rate of change determination module is used to determine the first temperature difference rate of change based on the first temperature data and the second temperature data. The first temperature difference rate of change is used to indicate the rate of change of the temperature difference between the preset heating point of the battery cell and the coolant. The third rate of change determination module is used to determine the second temperature difference rate of change based on the second temperature data and the third temperature data. The second temperature difference rate of change is used to indicate the rate of change of the temperature difference between the coolant and the passive heat dissipation component. The attention determination module is used to determine a first attention level, a second attention level, and a third attention level based on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate, wherein the first attention level is positively correlated with the cell temperature change rate, the second attention level is positively correlated with the first temperature difference change rate, and the third attention level is positively correlated with the second temperature difference change rate. The weight determination module is used to normalize the first attention, the second attention, and the third attention to obtain a first weight factor, a second weight factor, and a third weight factor corresponding to the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate. The evaluation module is used to perform weighted calculations on the cell temperature change rate, the first temperature difference change rate, and the second temperature difference change rate based on the first weighting factor, the second weighting factor, and the third weighting factor to obtain the evaluation change rate. A speed adjustment module is used to adjust the speed of the water pump according to the evaluated rate of change, wherein the rate of change of the water pump speed is positively correlated with the evaluated rate of change.

10. An electronic device, characterized in that, Electronic devices include processors and memory storing computer program instructions; When the processor executes a computer program, it implements the intelligent battery heat dissipation control method as described in any one of claims 1 to 8.

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