Early warning method, device and equipment for cooling liquid overflow and medium

Abstract

The invention discloses a cooling liquid overflow early warning method, device and equipment and a medium, and relates to the technical field of vehicle early warning, and the method comprises the steps: determining the current overflow amount of cooling liquid based on at least one of the current battery health state of a target vehicle, the current vehicle driving kilometers and the current vehicle off-line use time; calculating an interval overflow amount based on the current overflow amount and a historical overflow amount of the target vehicle; and generating early warning information based on the interval overflow amount and the preset redundant volume. According to the method, early recognition and prediction of the coolant overflow risk can be realized, the hysteresis of a traditional fixed period maintenance strategy is effectively avoided, the early warning accuracy is improved, system faults and potential safety hazards caused by excessive overflow of the coolant are avoided, and the use safety of the vehicle is improved.

Description

Technical Field

[0001] This application relates to the field of vehicle warning technology, and in particular to a method, device, equipment and medium for warning of coolant overflow. Background Technology

[0002] With the rapid development of new energy vehicle technology, the charging and discharging performance of power batteries has an increasingly prominent impact on the overall vehicle performance. To meet the demands of fast charging, battery cooling systems are constantly being upgraded, and three-dimensional, large-area cooling solutions are gradually being widely used due to their efficient heat dissipation capabilities. However, during long-term use, this cooling structure can experience continuous pressure from cell expansion on the cold plate, causing coolant to be discharged into the low-temperature expansion tank, posing a risk of overflow. Currently, the industry lacks effective methods for predicting and warning of coolant overflow, making it difficult to proactively alert users to maintenance before overflow occurs, thus posing a potential driving safety hazard. Therefore, a method for warning of coolant overflow is urgently needed to address the aforementioned problems. Summary of the Invention

[0003] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. This summary section is not intended to limit the key and essential technical features of the claimed technical solutions, nor is it intended to determine the scope of protection of the claimed technical solutions.

[0004] In a first aspect, this application provides a method for early warning of coolant overflow, comprising: The current amount of coolant overflow is determined based on at least one of the following: the current battery health status of the target vehicle, the current mileage of the vehicle, and the current time since the vehicle was taken off the production line. Calculate the interval overflow based on the current overflow amount and the historical overflow amount of the target vehicle; Based on the aforementioned interval overflow amount and preset redundancy volume, early warning information is generated.

[0005] In some implementations, determining the current coolant overflow based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time includes: The priority of multiple preset overflow determination strategies is obtained, wherein each preset overflow determination strategy determines the amount of coolant overflow based on at least one of the following parameters: battery health status, vehicle mileage, and vehicle off-line usage time. Based on the priority, a target strategy is selected from the plurality of preset overflow determination strategies, and based on the target strategy, the current overflow amount of the coolant is determined.

[0006] In some implementations, the plurality of preset overflow determination strategies include a first strategy, a second strategy, or a third strategy, wherein the first strategy has a higher priority than the second strategy, the second strategy has a higher priority than the third strategy, and determining the current overflow amount of the coolant based on the target strategy includes: The first strategy is used as the target strategy, and the first strategy is to determine the current overflow amount of coolant based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the first strategy, the second strategy shall be used as the target strategy. The second strategy is to determine the current overflow amount of coolant based on the current vehicle mileage or the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the second strategy, the third strategy is used as the target strategy. The third strategy is to determine the current overflow amount of coolant based on the current battery health status.

[0007] In some implementations, determining the current coolant overflow based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time includes: Based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time, the current overflow amount of coolant corresponding to the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time is determined from a preset mapping relationship between the battery health status, the vehicle mileage, the vehicle off-line usage time, and the overflow amount.

[0008] In some implementations, determining the current overflow amount of coolant corresponding to the current battery health status, current vehicle mileage, and current vehicle off-line usage time based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time, from a preset mapping relationship between the battery health status, vehicle mileage, vehicle off-line usage time, and overflow amount, includes: If the current battery health status, current vehicle mileage, and current vehicle off-line usage time are not found in the preset mapping relationship, then based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time, an adjacent reference data point is located in the preset mapping relationship; based on the adjacent reference data point, the current overflow amount of coolant is calculated using a linear interpolation algorithm.

[0009] In some implementations, determining the current amount of coolant overflow based on the current vehicle mileage includes: When the current vehicle's off-line usage time is less than or equal to a first preset number of years and the current vehicle's mileage is greater than or equal to a first preset mileage, the current overflow amount of coolant corresponding to the current vehicle's mileage is determined from the first mapping relationship between the vehicle's mileage and the overflow amount based on the current vehicle's mileage.

[0010] In some implementations, determining the current amount of coolant overflow based on the current vehicle's off-line usage time includes: When the current vehicle's off-line usage time is greater than or equal to the second preset age and the current vehicle's mileage is less than or equal to the first preset mileage, the current overflow amount of coolant corresponding to the current vehicle's off-line usage time is determined from the second mapping relationship between the vehicle's off-line usage time and the overflow amount, based on the current vehicle's off-line usage time. The second preset age is greater than the first preset age.

[0011] In some implementations, determining the current amount of coolant overflow based on the current battery health status includes: Based on the current battery health status, the current overflow amount of the coolant corresponding to the current battery health status is determined from the third mapping relationship between the battery health status and the overflow amount.

[0012] In some implementations, determining the current overflow amount of coolant corresponding to the current battery health state from a third mapping relationship between the current battery health state and the overflow amount, based on the current battery health state, includes: Based on the current battery health state, the initial overflow amount of the coolant corresponding to the current battery health state is determined from the third mapping relationship between the battery health state and the overflow amount. The initial overflow amount is corrected based on the aging correction factor to determine the current overflow amount of the coolant. The aging correction factor includes at least one of the following: the average ambient temperature of the vehicle's historical use, the ratio of super-fast charging times to total charging times, and the cumulative cycle count of the battery cells.

[0013] In some implementations, calculating the interval overflow based on the current overflow and the historical overflow of the target vehicle includes: The interval overflow is calculated based on the difference between the current overflow and the historical overflow of the target vehicle.

[0014] In some implementations, generating early warning information based on the interval overflow amount and the preset redundancy volume includes: Calculate the volume surplus difference based on the interval overflow amount and the preset redundant volume; The warning information is generated based on the difference in volume margin and the preset margin safety threshold.

[0015] In some implementations, after generating the warning information based on the interval overflow amount and the preset redundancy volume, the method further includes: Based on the target warning level of the aforementioned warning information, a message push strategy is determined. Based on the information push strategy, the warning information is sent to the target terminal.

[0016] Secondly, this application proposes a coolant overflow warning device, comprising: The cumulative overflow determination unit is used to determine the current overflow amount of coolant based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time. An interval overflow calculation unit is used to calculate the interval overflow amount based on the current overflow amount and the historical overflow amount of the target vehicle; The early warning information generation unit is used to generate early warning information based on the interval overflow amount and the preset redundancy volume.

[0017] Thirdly, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the coolant overflow warning method of any of the first aspects.

[0018] Fourthly, this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the steps of the coolant overflow warning method of any of the first aspects.

[0019] In summary, this application provides a method for early warning of coolant overflow. It determines the current amount of coolant overflow based on at least one of the following: the current battery health status of the target vehicle, the current mileage, and the current off-line usage time. Based on the current overflow amount and the historical overflow amounts of the target vehicle, it calculates the interval overflow amount. Based on the interval overflow amount and a preset redundancy volume, it generates early warning information. This method can assess coolant overflow based on multi-dimensional parameters such as vehicle battery health status, mileage, and usage time. By calculating the interval overflow amount and comparing it with the system redundancy volume, it achieves early warning of coolant overflow risk, effectively improving the accuracy and timeliness of the warning and providing a technical means to prevent excessive coolant overflow. Attached Figure Description

[0020] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit this specification. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A schematic flowchart of a method for early warning of coolant overflow provided in an embodiment of this application; Figure 2 This is a schematic diagram of a coolant overflow warning device provided in an embodiment of this application; Figure 3 This is a schematic diagram of a coolant overflow early warning electronic device provided in an embodiment of this application. Detailed Implementation

[0021] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0022] Three-dimensional large-area cooling is an advanced thermal management technology applied to power battery packs in new energy vehicles. Unlike the traditional method of placing cooling plates only at the bottom of the battery pack, this technology adopts a three-dimensional wrap-around structure, which allows the cooling plates to maintain large-area contact with multiple surfaces of the battery cell (usually including the sides and ends), forming a three-dimensional heat dissipation path.

[0023] This structure is designed to increase the effective heat dissipation area, enabling it to more efficiently remove the heat generated during high-rate charging and meet the heat dissipation requirements of fast charging. However, throughout the battery's lifespan, this tightly fitted structure causes the battery cell to continuously and irreversibly expand due to lithium-ion insertion / extraction and side reactions during charge / discharge cycles (e.g., due to the accumulation of chemical byproducts such as lithium dendrite growth and SEI film thickening). This volume expansion exerts a continuous compressive effect on the cooling plate surrounding the battery cell.

[0024] This compression effect causes the volume of the flow channel cavity inside the cooling plate to be gradually compressed, thereby continuously discharging a certain amount of coolant into the low-temperature expansion tank connected to the cooling circuit. As the vehicle's usage time increases and the battery cells expand cumulatively, the total amount of coolant discharged into the tank will continue to increase. When the volume of this liquid exceeds the safety redundancy volume designed for the tank, there is a risk that coolant will overflow from the pressure relief valve on the tank cap. This will not only cause coolant loss and affect the system's heat dissipation performance, but in severe cases, it may also cause abnormal system pressure, posing a potential safety hazard.

[0025] Please see Figure 1 This is a schematic flowchart of a method for early warning of coolant overflow provided in an embodiment of this application, which may specifically include: S110. Determine the current amount of coolant overflow based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time. For example, in a three-dimensional large-area cooling system, the battery cells undergo continuous volume expansion due to electrochemical processes throughout their lifespan. This expansion compresses the cooling plate channels that tightly enclose the cells, reducing their internal volume and causing some coolant to continuously drain into the system's low-temperature expansion tank. As vehicle operating time increases and battery health deteriorates, this process leads to a gradual increase in the coolant level in the tank. To quantify this overflow, key parameters reflecting battery aging and vehicle usage intensity, including battery health, vehicle mileage, and vehicle off-line usage time, are analyzed to determine the current coolant overflow amount.

[0026] S120. Calculate the interval overflow based on the current overflow amount and the historical overflow amount of the target vehicle; For example, after a vehicle undergoes maintenance, the cooling system is maintained to remove accumulated coolant. At this time, the system records the current overflow amount as a new baseline. As the vehicle continues to be used, coolant will accumulate again due to the continuous expansion of the battery cells. By subtracting the overflow amount recorded at the last maintenance from the overflow amount calculated at the current moment, the amount of coolant newly generated since the last maintenance can be obtained. This newly generated amount is the interval overflow, which directly reflects the actual operating load and coolant level increase of the cooling system between two maintenance periods, serving as the basis for determining whether further maintenance is needed.

[0027] S130. Based on the interval overflow amount and the preset redundancy volume, generate early warning information.

[0028] For example, the calculated interval overflow amount is compared with a preset low-temperature reservoir redundant volume. This redundant volume represents the additional amount of coolant the cooling system can safely hold in the event of a coolant level rise. By analyzing the numerical relationship between the interval overflow amount and the redundant volume, it is possible to assess whether the current coolant buildup is approaching the safe tolerance. When an overflow risk is determined, corresponding warning information is generated to provide decision-making support for vehicle maintenance and to take intervention measures before a potential overflow occurs.

[0029] In summary, this embodiment of the application determines the current coolant overflow amount based on at least one key parameter among the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time. It then calculates the interval overflow amount by combining this with the vehicle's historical overflow amounts. Finally, it generates early warning information based on a comparison between this interval overflow amount and the system's preset redundancy volume. This method effectively utilizes multi-dimensional data reflecting battery aging and vehicle usage intensity to assess coolant overflow risks and provide early warnings. This allows for timely maintenance interventions before the coolant accumulation approaches the system's safety tolerance, improving the accuracy and timeliness of the warnings and enhancing the safety and reliability of vehicle operation.

[0030] In some instances, the current coolant overflow is determined based on at least one of the target vehicle's current battery health, current vehicle mileage, and current vehicle off-line usage time, including: The priority of multiple preset overflow determination strategies is obtained, wherein each preset overflow determination strategy determines the amount of coolant overflow based on at least one of the following parameters: battery health status, vehicle mileage, and vehicle off-line usage time. Based on priority, a target strategy is selected from multiple preset overflow determination strategies, and the current overflow amount of coolant is determined based on the target strategy.

[0031] For example, when determining the current coolant overflow amount, several preset overflow amount determination strategies and their priorities are first obtained. Each of these strategies is configured to determine the coolant overflow amount based on at least one parameter among battery health status, vehicle mileage, and vehicle off-line usage time. The priority is set based on the comprehensiveness of the parameters relied upon by each strategy, aiming to preferentially select the strategy that can more comprehensively reflect the battery aging process and vehicle usage conditions for overflow amount calculation.

[0032] Based on the acquired priority, a target strategy is selected from multiple preset overflow determination strategies. The selection process follows a principle of priority from high to low, meaning the highest priority strategy is tried first. If the calculation cannot be completed based on a strategy due to parameters not meeting preset conditions or missing data, lower priority strategies are automatically tried sequentially. Finally, based on the selected target strategy and its corresponding parameter mapping relationship, the current coolant overflow amount is calculated.

[0033] In summary, the priority-based selection strategy employed in this application ensures that the optimal available strategy can be used for overflow estimation under various vehicle operating conditions and data completeness requirements. This enhances adaptability to diverse usage scenarios and guarantees the reliability of overflow assessment.

[0034] In some instances, multiple preset overflow determination strategies include a first strategy, a second strategy, or a third strategy, with the first strategy having higher priority than the second strategy, and the second strategy having higher priority than the third strategy. Based on the target strategy, the current overflow amount of coolant is determined, including: The first strategy is used as the target strategy. The first strategy is to determine the current amount of coolant overflow based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the first strategy, the second strategy will be used as the target strategy. The second strategy is to determine the current overflow amount of coolant based on the current vehicle mileage or the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the second strategy, the third strategy will be used as the target strategy. The third strategy is to determine the current overflow amount of coolant based on the current battery health status.

[0035] For example, in determining the current overflow amount of coolant, this application embodiment employs a strategy selection mechanism, specifically by setting multiple preset overflow amount determination strategies with different priorities. These strategies include a first strategy, a second strategy, and a third strategy, with the first strategy having the highest priority, the second strategy second, and the third strategy the lowest priority. The first strategy is configured to determine the current overflow amount of coolant based simultaneously on three parameters: the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time. This strategy is preferentially applied because it comprehensively utilizes multiple dimensions reflecting battery aging and vehicle usage intensity, and is expected to provide a more accurate overflow amount assessment result.

[0036] If the current overflow cannot be determined based on the first strategy due to parameters not meeting preset conditions or data availability issues, a second strategy with lower priority will be activated. The second strategy is configured to determine the current coolant overflow based on a single parameter: either the current vehicle mileage or the current vehicle's off-line usage time. Specifically, when the vehicle's age is short (e.g., less than or equal to a first preset age) and mileage is high (e.g., greater than or equal to a first preset mileage), a mapping based on mileage is used; when the vehicle's age is long (e.g., greater than or equal to a second preset age) and mileage is low (e.g., less than or equal to a first preset mileage), a mapping based on off-line usage time is used. This design aims to select the most relevant single parameter for estimation based on a specific usage pattern (e.g., high-frequency short-term use or low-frequency long-term parking).

[0037] If the second strategy is still inapplicable, for example when the vehicle's age and mileage do not meet the specific threshold conditions set by the second strategy, the third strategy, with the lowest priority, will be activated. The third strategy is configured to determine the current coolant overflow based on the current battery health status. This strategy obtains an initial overflow estimate by querying a preset mapping relationship between battery health status and overflow amount. Considering that while battery health status is the primary factor, the actual coolant overflow may also be affected by other usage conditions (such as ambient temperature, fast charging ratio, etc.), optionally, this initial overflow amount can be further corrected based on one or more aging correction factors to obtain a more realistic current overflow amount.

[0038] In summary, the embodiments of this application, through the aforementioned priority-based strategy selection mechanism, ensure that the optimal available estimation strategy can be adaptively selected to determine the coolant overflow amount under different vehicle operating conditions and data completeness conditions. This method improves adaptability to diverse real-world usage scenarios and guarantees the robustness of the overflow assessment process.

[0039] In some instances, the current coolant overflow is determined based on the current battery health, current vehicle mileage, and current vehicle off-line usage time, including: Based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time, the current coolant overflow amount corresponding to the current battery health status, current vehicle mileage, and current vehicle off-line usage time is determined from the preset mapping relationship between the battery health status, vehicle mileage, vehicle off-line usage time, and overflow amount.

[0040] For example, determining the current coolant overflow amount requires three key parameters: the current battery health status, the current vehicle mileage, and the current vehicle service life. These parameters serve as input conditions to query a pre-established mapping relationship. This pre-established mapping relationship is constructed from datasets obtained through experimental testing or simulation of the target battery pack under various typical aging paths. It exists in the form of a discrete data table or fitting function, completely recording the correspondence between different battery health status values, different cumulative mileage, and different service years and coolant overflow amount. As shown in Table 1, this application presents the pre-established mapping relationship between the vehicle's service life (years), vehicle mileage (10km), battery health status (SOH), and overflow amount (L). The query process involves matching the current parameter combination with the data points in the mapping relationship to directly determine or deduce the corresponding current coolant overflow amount through calculation. This step utilizes an empirical data model to transform parameters reflecting vehicle status and usage history into a quantitative estimate of coolant volume changes.

[0041] Table 1 Preset Mapping Relationships

[0042] In summary, the method used in this application to determine the overflow amount through multi-parameter mapping takes into account three key indicators that characterize battery chemical aging, mechanical wear accumulation, and material natural aging, respectively. This allows the estimation of coolant overflow amount to more comprehensively reflect the actual aging state and usage intensity of the vehicle. Compared to estimation methods that rely on a single parameter or fixed empirical value, this method improves the accuracy of overflow amount prediction and reduces prediction deviations caused by missing or inadequate parameter dimensions.

[0043] In some instances, based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time, the current coolant overflow amount corresponding to the current battery health status, current vehicle mileage, and current vehicle off-line usage time is determined from a preset mapping relationship between these parameters. This includes: If the current battery health status, current vehicle mileage, and current vehicle off-line usage time are not found in the preset mapping relationship, the adjacent reference data points are located in the preset mapping relationship based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time; based on the adjacent reference data points, the current coolant overflow amount is calculated using a linear interpolation algorithm.

[0044] For example, in determining the current coolant overflow amount from a preset mapping relationship based on the current battery health status, current vehicle mileage, and current vehicle service life, there are two typical scenarios. The first scenario is that the current parameter information perfectly matches the value of a data row in the preset mapping relationship table. For instance, if the current battery health status is 90%, the current vehicle mileage is 30,000 kilometers, and the current vehicle service life is 1.5 years, then the corresponding current overflow amount of 2L can be directly determined by consulting Table 1. The second scenario is that the current parameter information does not directly match a corresponding data point in the preset mapping relationship table, and its value falls within a range formed by two or more known data points in the table. For example, if the current battery health status is 92%, the current vehicle mileage is 20,000 kilometers, and the current vehicle service life is 1 year, this set of parameters is not directly recorded in Table 1.

[0045] At this point, it is necessary to locate several reference data points within the data set of the preset mapping relationship that are closest to the current parameter combination. Specifically, this involves finding two values ​​adjacent to the current battery health status value, two values ​​adjacent to the current vehicle mileage, and two values ​​adjacent to the current vehicle decommissioning time from the battery health status column, vehicle mileage column, and vehicle decommissioning time column of the data table, respectively. The data points corresponding to these adjacent values ​​together constitute the reference data point set used for interpolation calculation. For the parameter information in the second case mentioned above, relevant data points within the data area bounded by the age of 0.7 years and 1.5 years, mileage of 14,000 kilometers and 30,000 kilometers, and SOH of 95% and 90% in the table may be selected as references.

[0046] Based on the located neighboring reference data points, the current coolant overflow is calculated using a linear interpolation algorithm. This calculation process is performed across multiple parameters. First, in the battery health state dimension, using the battery health state values ​​of two reference data points adjacent to the current battery health state and their corresponding overflow values, one-dimensional linear interpolation is used to calculate several intermediate overflows corresponding to various reference mileages and reference years under the current battery health state. Similarly, in the vehicle mileage dimension, using the mileage values ​​of two reference data points adjacent to the current mileage and the intermediate overflows obtained in the previous step, one-dimensional linear interpolation is performed again to calculate further intermediate overflows corresponding to various reference years under the current mileage and current battery health state. Finally, in the vehicle's service life dimension, using the service life values ​​of two reference data points adjacent to the current service life and the intermediate overflows obtained in the previous step, one-dimensional linear interpolation is performed in the final dimension to calculate the current coolant overflow that matches the current battery health state, current vehicle mileage, and current vehicle service life. The entire process essentially involves continuously approximating discrete data points in three-dimensional space through multiple one-dimensional linear interpolations, thereby estimating the overflow amount corresponding to any combination of parameters.

[0047] In summary, this application's embodiments introduce a linear interpolation calculation method based on adjacent reference data points, enabling the early warning method to handle the common situation where the vehicle's actual state parameters fall between discrete data points with a preset mapping relationship. This improves the method's applicability and avoids estimation errors caused by only being able to roughly round down due to mismatched parameters. This interpolation strategy ensures that the coolant overflow amount changes continuously and smoothly over the continuous vehicle aging process, conforming to physical reality and providing a data foundation for subsequent risk assessment.

[0048] In some instances, the current coolant overflow is determined based on the current vehicle mileage, including: When the current vehicle's off-line usage time is less than or equal to the first preset age and the current vehicle's mileage is greater than or equal to the first preset mileage, the current coolant overflow amount corresponding to the current vehicle's mileage is determined from the first mapping relationship between the vehicle's mileage and the overflow amount based on the current vehicle's mileage.

[0049] For example, when determining the current coolant overflow, it is necessary to consider the specific usage conditions of the vehicle. One typical scenario is that the vehicle is under high usage intensity but has a short natural aging period, specifically, the current vehicle's off-line usage time is less than or equal to a first preset age (e.g., 1 year), while the current vehicle mileage is greater than or equal to a first preset mileage (e.g., 20,000 kilometers). This usage pattern indicates that the cyclic aging of the battery cells is much higher than their natural calendar aging, and the expansion of the battery cells is mainly strongly correlated with the number of charge-discharge cycles, i.e., the mileage. When this condition is met, the strategy for determining the current coolant overflow is adjusted to rely on the mileage parameter, which better reflects the usage intensity.

[0050] At this point, based on the current vehicle mileage, the corresponding current coolant overflow amount is determined from the first mapping relationship between vehicle mileage and overflow amount. There are two implementation methods for establishing this first mapping relationship. The first implementation method treats the preset mapping relationship (e.g., Table 1) as a complete dataset, extracting the vehicle mileage and overflow amount columns to form a sub-mapping table focusing on the correspondence between mileage and overflow amount, i.e., the first mapping relationship. During querying, the specific values ​​of the current battery health status and the current vehicle's offline usage time are ignored; only the current vehicle mileage is used for matching or interpolation in this sub-mapping table to determine the overflow amount. The second implementation method is that the first mapping relationship can be a specially constructed dataset independent of the preset mapping relationship (Table 1). This dataset is obtained through specific tests or simulations for the specific operating condition of high mileage and short vehicle age. Its data points may be more dense or wider in scope, specifically used to describe the correspondence between mileage and coolant overflow amount under such extreme usage conditions. Regardless of whether the first or second implementation method is adopted, the core is to simplify the query logic and quickly determine the overflow amount by using the mileage as a single parameter that is highly correlated with the main influencing factor when specific working conditions are met.

[0051] It should be noted that this approach is based on an analysis of the dominant factors in vehicle aging. For vehicles with a short service life but a long mileage, the degradation of battery health and cell expansion are primarily driven by the chemical and mechanical stresses resulting from frequent charge-discharge cycles, which are strongly positively correlated with mileage. In contrast, performance degradation and volume changes caused by natural material aging contribute relatively little at this stage. Therefore, under such extreme conditions, choosing mileage as the key parameter for determining the spillover effect aligns with the physical nature of vehicle aging and ensures the reasonableness of the estimation results.

[0052] In summary, the method for determining coolant overflow in high-intensity vehicles, as described in this application, identifies specific vehicle usage characteristics and employs a simplified, mileage-oriented query strategy. This allows for a more accurate reflection of the main driving factors for coolant overflow under such operating conditions. It avoids the query complexity or matching ambiguity that may arise when there are many parameter dimensions. It is particularly suitable for high-intensity operating scenarios such as ride-hailing and commercial vehicles, ensuring the timeliness and specificity of overflow risk prediction for these vehicles. This enhances the adaptability and robustness of the entire early warning method across different vehicle usage modes.

[0053] In some instances, the current coolant overflow is determined based on the vehicle's current off-line usage time, including: When the current vehicle's off-line usage time is greater than or equal to the second preset age and the current vehicle's mileage is less than or equal to the first preset mileage, the current coolant overflow amount corresponding to the current vehicle's off-line usage time is determined from the second mapping relationship between the vehicle's off-line usage time and the overflow amount, wherein the second preset age is greater than the first preset age.

[0054] For example, another condition to consider when determining the current coolant overflow is when the vehicle is under low usage intensity but has a long natural aging period. Specifically, this means the vehicle's current off-line usage time is greater than or equal to a second preset age (e.g., 5 years), while the current mileage is less than or equal to a first preset mileage (e.g., 20,000 kilometers). This usage pattern indicates that the aging of battery cells and vehicle components is primarily due to the natural aging of materials, rather than cyclic aging from frequent use. In this case, the expansion of the battery cells shows a stronger correlation with the vehicle's storage and usage years after it leaves the production line. When this specific condition is met, the strategy for determining the current coolant overflow should be adjusted accordingly, shifting to a parameter based on the vehicle's off-line usage time, which better reflects the natural aging process.

[0055] At this point, based on the current vehicle's off-line usage time, the corresponding current coolant overflow amount is determined from the second mapping relationship between the vehicle's off-line usage time and the overflow amount. There are two feasible implementation methods for constructing this second mapping relationship. The first implementation method uses the aforementioned preset mapping relationship (as shown in Table 1) as the basic dataset, extracting the vehicle's off-line usage time and overflow amount columns to form a sub-mapping table focusing on the correspondence between age and overflow amount, which is the second mapping relationship referred to here. When querying in this way, the specific values ​​of the current battery health status and the current vehicle mileage are ignored; only the current vehicle's off-line usage time is used for matching in this sub-mapping table or for interpolation calculations between data points to determine the current overflow amount. The second implementation method involves the second mapping relationship being a dataset specifically established independently of Table 1. This dataset is obtained through specific testing or simulation for the specific aging path of low mileage and long vehicle age. It contains denser age data points or covers a longer age range, specifically used to describe the quantitative relationship between vehicle's off-line usage time and coolant overflow amount under such natural aging conditions. Regardless of the implementation method, the decision lies in simplifying the parameter dimensions and using the vehicle's off-line usage time as the main influencing factor to determine the overflow amount when the vehicle meets specific low usage intensity and high natural aging characteristics.

[0056] In summary, the method for determining coolant overflow in vehicles with low usage intensity but long service life, as described in this application, identifies specific aging characteristics and employs a simplified query strategy centered on service life. This approach more accurately reflects the main driving factors of coolant overflow under such conditions. It avoids query biases that may occur when there are many parameter dimensions and a particular parameter (such as mileage) significantly deviates from the normal aging path. It is particularly suitable for vehicles that are idle for extended periods or used only occasionally, ensuring the accuracy and applicability of overflow risk prediction for such vehicles. This further enhances the robustness and coverage of the entire early warning method in the face of diverse vehicle usage patterns.

[0057] In some instances, the current amount of coolant overflow is determined based on the current battery health status, including: Based on the current battery health status, the current amount of coolant overflow corresponding to the current battery health status is determined from the third mapping relationship between the battery health status and the overflow amount.

[0058] For example, in determining the current amount of coolant overflow, one implementation method is to determine the corresponding current overflow amount based on the current battery health state and from a third mapping relationship between the battery health state and the overflow amount. This implementation method is mainly applicable when the vehicle's current off-line usage time and current mileage do not meet the aforementioned special operating conditions, and the battery health state is identified as a key parameter for assessing coolant discharge due to cell expansion. In this case, determining the current overflow amount involves establishing a correspondence between the battery health state and the coolant overflow amount.

[0059] There are two specific ways to construct this third mapping relationship. The first approach treats the third mapping relationship between battery health status and overflow as a subset of a pre-defined mapping relationship. Specifically, it extracts data from the battery health status and overflow columns from a complete pre-defined mapping relationship table that records the correspondence between battery health status, vehicle mileage, vehicle off-line usage time, and overflow. This extracts data to form a data table containing only the correspondence between battery health status and overflow. During a query, the specific values ​​of the current vehicle mileage and current vehicle off-line usage time are ignored; the current battery health status value is directly matched against this simplified data table. If the current battery health status value is exactly the same as the battery health status value of a data point in this simplified data table, then the overflow value corresponding to that data point is directly determined as the current overflow of coolant. The second approach is that this third mapping relationship can be an independently constructed dataset. It is not derived from a subset of the aforementioned pre-defined mapping relationship but is obtained separately through tests or simulations specifically targeting the impact of the single variable of battery health status on coolant overflow. This independently constructed third mapping relationship contains battery health status data points that are denser or broader in scope than those in the preset mapping relationship, along with their precisely corresponding overflow values. This forms a dataset describing the functional or tabular relationship between battery health status and coolant overflow. In this implementation, the current battery health status value is also used as the basis for querying and matching within this independently constructed third mapping relationship to determine the corresponding current coolant overflow.

[0060] In summary, the method for determining coolant overflow based on battery health status provided in this application assesses overflow risk under specific operating conditions by constructing and querying a mapping relationship between battery health status and overflow amount. This method simplifies the query logic, improves computational efficiency, and is particularly suitable for situations where battery health status is the dominant influencing factor for cell expansion. Whether by extracting a subset from a comprehensive mapping table or using independently constructed mapping relationships, the reliability of coolant overflow amount prediction is enhanced, laying a data foundation for subsequent interval overflow amount calculation and risk warning.

[0061] In some instances, based on the current battery health state, the current coolant overflow amount corresponding to the current battery health state is determined from a third mapping relationship between the battery health state and the overflow amount, including: Based on the current battery health status, the initial overflow amount of coolant corresponding to the current battery health status is determined from the third mapping relationship between the battery health status and the overflow amount. Based on the aging correction factor, the initial overflow amount is corrected to determine the current overflow amount of coolant. The aging correction factor includes at least one of the following: the average ambient temperature of the vehicle's historical use, the ratio of super-fast charging times to total charging times, and the cumulative cycle count of the battery cells.

[0062] For example, after determining the initial coolant overflow amount from the third mapping relationship based on the current battery health state, an aging correction factor is introduced to further improve the accuracy of the overflow amount prediction and make it more closely match the actual aging path of the target vehicle. The aging correction factor is used to quantify vehicle usage conditions that, although not directly input parameters of the core mapping relationship, have been proven to have a significant impact on cell expansion rate and coolant discharge amount.

[0063] First, the average historical ambient temperature of the vehicle, the ratio of Supercharged charges to total charges within the statistical period, and the cumulative cycle count of the battery cells are obtained as correction inputs. Then, each correction input is compared with preset threshold conditions. If the average historical ambient temperature of the vehicle is higher than a first preset temperature threshold, a first preset upward correction factor is applied to the initial overflow. If the ratio of Supercharged charges to total charges is higher than a second preset percentage threshold, a second preset upward correction factor is applied to the initial overflow. If the cumulative cycle count of the battery cells exceeds a preset cycle count threshold, a linear incremental correction is performed on the initial overflow based on the product of the excess and a preset unit overflow increment. These correction operations can be executed independently or in combination based on the actual vehicle data, working together on the initial overflow. The overflow value adjusted by all applicable corrections is determined as the current coolant overflow value that more accurately reflects the current state of the vehicle.

[0064] It should be noted that in this embodiment, the first preset temperature threshold is 25°C, the first preset ratio is 10%, the second preset ratio threshold is 40%, the second preset ratio is 20%, the preset cycle count threshold is 300 times, and the preset unit overflow increment is 10ml per cycle. This correction process is because different usage conditions can accelerate the aging process of the battery, which may accelerate the expansion of the cell. Higher historical average ambient temperatures can exacerbate the chemical side reactions inside the battery, leading to the growth of a thicker SEI film and gas generation, thereby promoting the expansion of the cell volume. Frequent super-fast charging will introduce greater current stress and thermal load, accelerating the structural deterioration of the electrode material and the growth of lithium dendrites, which will also contribute to the irreversible volume increase of the cell. The cumulative cycle count of the cell directly reflects the number of charge and discharge cycles the battery has experienced. After exceeding a certain number of cycles, the loss of active lithium and the fatigue accumulation effect of the electrode structure will become more obvious, driving the cell expansion. Therefore, quantifying and correcting these factors is essentially calibrating the initial overflow amount obtained based on the standard operating condition mapping according to the actual usage conditions experienced by the vehicle that may accelerate aging.

[0065] In summary, this application introduces an overflow correction mechanism based on aging correction factors such as the vehicle's historical ambient temperature, super-fast charging ratio, and cumulative cell cycle count. This ensures that the final determined current coolant overflow amount not only depends on the battery's health status but also considers key factors that accelerate aging in actual use. This correction strategy effectively compensates for potential prediction biases arising from mapping queries based solely on limited parameters, improving the overflow prediction model's adaptability to different user driving habits and usage environments. This enables the warning system to identify coolant overflow risks faced by vehicles operating under high load conditions earlier and more accurately, enhancing the robustness and practicality of the entire warning method.

[0066] In some instances, the interval overflow is calculated based on the current overflow and the historical overflow of the target vehicle, including: The interval overflow is calculated based on the difference between the current overflow and the historical overflow of the target vehicle.

[0067] For example, in calculating the interval overflow, firstly, based on the target vehicle's historical maintenance records, the historical overflow data recorded and stored when the vehicle last completed cooling system maintenance is obtained. This historical overflow represents the cumulative amount of coolant discharged due to cell expansion up to the last maintenance time. Then, based on the currently calculated coolant overflow and the historical overflow, a subtraction operation is performed to determine the difference between the two. This difference is the newly generated interval overflow since the last maintenance. This interval overflow is used to quantify the additional volume of coolant discharged into the cryogenic expansion tank due to the continuous expansion of the cells within the new maintenance cycle. When the vehicle completes coolant-related maintenance again, the current overflow corresponding to that maintenance time is updated and stored as the new historical overflow for subsequent interval overflow calculations, thereby achieving iterative updates of maintenance cycle data.

[0068] In summary, the step of calculating the interval overflow amount in this embodiment of the application quantifies the increase in coolant volume within each independent maintenance cycle by associating the current state with historical maintenance data. This allows early warning judgment to focus on changes since the last maintenance, eliminating the influence of historical cumulative amounts. Compared to methods that only focus on the total cumulative amount, this evaluation method based on cycle increments can more sensitively reflect recent risk change trends, providing input for early warning decisions based on preset redundancy volumes, and improving the accuracy of early warnings and the rationality of maintenance recommendations.

[0069] In some instances, warning information is generated based on the interval overflow amount and the preset redundancy volume, including: Calculate the volume surplus difference based on the interval overflow amount and the preset redundant volume; Early warning information is generated based on the difference in volume margin and the preset margin safety threshold.

[0070] For example, in the specific process of generating warning information based on the interval overflow amount and the preset redundant volume, the first step is to calculate the volume margin difference. This calculation is achieved by subtracting the interval overflow amount from the preset redundant volume value, thereby obtaining a volume margin difference value that represents the current remaining safety margin of the cooling system. The preset redundant volume specifically refers to the additional safe space volume that the vehicle's cryogenic expansion tank is designed to hold beyond the normal liquid level range. Next, the calculated volume margin difference value is compared with a preset margin safety threshold. The preset margin safety threshold is a pre-set critical value used to define the risk boundary, for example, 0.2L. Based on this comparison result, the final warning information is generated: when the volume margin difference value is less than or equal to the preset margin safety threshold, it is determined that the current coolant accumulation state is close to the system safety margin, and there is a risk of overflow, thus generating a warning information containing risk warning; conversely, if the volume margin difference value is greater than the preset margin safety threshold, it indicates that the current state is still within the safe range, at which point a safety warning information can be generated or the warning information generation operation can be skipped.

[0071] In summary, this application's embodiment assesses the risk of overflow by quantitatively evaluating the relationship between the amount of coolant added since the last maintenance and the system's safety tolerance. It can issue an early warning signal based on the calculated coolant level increase trend before the reservoir level actually reaches its physical limit, thus providing a necessary time window for scheduling preventative maintenance. This method directly links the warning triggering conditions to the vehicle's actual wear and tear and the system's physical characteristics. Compared to fixed-period or simple coolant level alarms, it improves the accuracy and foresight of the warning, effectively avoiding potential performance degradation of the thermal management system and driving safety hazards caused by accidental coolant overflow, ensuring the vehicle's continuous safe and stable operation.

[0072] It should be noted that after the warning information is generated and pushed, if the user completes maintenance operations on the coolant system at a service store according to the warning prompt, such as pumping out excess coolant accumulated in the cryogenic expansion tank, this maintenance event needs to be responded to and relevant data records updated. This process begins with receiving and confirming a maintenance operation completion signal triggered by the service store terminal or the vehicle's own maintenance mode. After confirming the maintenance is complete, data reset logic is executed, resetting the interval overflow value, which represents the increase in overflow since the last maintenance, to zero to accurately reflect the system status where the risk increment has been eliminated after maintenance. Next, using the reset interval overflow value to zero and the currently unchanged cumulative overflow data, the stored historical maintenance records of the target vehicle are updated. This update operation includes at least storing the time of this maintenance completion and the corresponding cumulative overflow as new baseline records in the historical maintenance records, thereby establishing the correct initial conditions for calculating new interval overflows in the next maintenance cycle, ensuring the continuous accuracy and effectiveness of the warning logic throughout the vehicle's entire lifecycle.

[0073] In some instances, after generating the warning information based on the interval overflow amount and the preset redundancy volume, the following is also included: Based on the target warning level of the warning information, determine the information push strategy, including: When the target warning level is Level 1, the information push strategy is determined to be periodic push; or, when the target warning level is Level 2, the information push strategy is determined to be immediate push, with the urgency level corresponding to Level 2 being higher than that of Level 1. Based on the information push strategy, the warning information is sent to the target terminal.

[0074] For example, different warning levels are determined based on the comparison between the volume margin difference and the preset margin safety threshold: when the volume margin difference is less than or equal to the preset margin safety threshold but greater than zero, the target warning level is determined to be Level 1, which indicates that there is a potential overflow risk but there is still a buffer margin; when the volume margin difference is less than or equal to zero, the target warning level is determined to be Level 2, which indicates that the overflow risk is more urgent and its corresponding urgency level is higher than Level 1. Subsequently, an information push strategy is selected based on the determined target warning level: if the target warning level is Level 1, the information push strategy is determined to be periodic push, such as repeatedly sending warning information to the target terminal on a daily or weekly basis; if the target warning level is Level 2, the information push strategy is determined to be immediate push, that is, sending the warning information to the target terminal immediately after it is generated. Finally, the information push operation is executed. Based on the determined information push strategy, the warning information, including the specific warning level, the interval overflow, the volume margin difference, and the recommended maintenance actions, is sent to the preset target terminal through the vehicle's remote communication module or the cloud service platform connected to it. The target terminal includes, but is not limited to, the vehicle's in-vehicle infotainment system display screen, the user's mobile device application bound to the vehicle, or the designated after-sales service system.

[0075] In summary, this application's embodiments combine calculated risk levels with differentiated information delivery methods to ensure that risks of varying urgency reach users or maintenance personnel with matching timeliness. For initial potential risks, periodically scheduled reminders maintain user attention to the issue without unduly disrupting them; while for urgent risks, immediate push notifications prompt users to take immediate action. This avoids warning fatigue while ensuring timely response in high-risk situations, improving the practicality and user acceptance of the coolant overflow warning system.

[0076] Please see Figure 2 The diagram below illustrates the structure of a coolant overflow warning device according to an embodiment of this application, including: The cumulative overflow determination unit 21 is used to determine the current overflow amount of coolant based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time. The interval overflow calculation unit 22 is used to calculate the interval overflow based on the current overflow amount and the historical overflow amount of the target vehicle; The early warning information generation unit 23 is used to generate early warning information based on the interval overflow amount and the preset redundancy volume.

[0077] Please see Figure 3This application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, it implements the steps of a method for warning of coolant overflow.

[0078] Since the electronic device described in this embodiment is the device used to implement a coolant overflow warning device in the embodiments of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in the embodiments of this application. Therefore, how the electronic device implements the method in the embodiments of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiments of this application falls within the scope of protection of this application.

[0079] In practice, when the computer program 311 is executed by the processor, it can implement any of the embodiments corresponding to the first aspect.

[0080] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0081] Those skilled in the art will understand that embodiments of this application can provide methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media containing computer-readable program code.

[0082] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of 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, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0083] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0085] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform... Figure 1 The flowchart of a coolant overflow warning method in the corresponding embodiment.

[0086] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions may be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium may be any usable medium that a computer can store or a data storage device such as a server or data center that integrates one or more usable media. The usable medium may be a magnetic medium, an optical medium, or a semiconductor medium, etc.

[0087] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Furthermore, the mutual couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0089] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0090] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in the form of hardware and / or software functional units.

[0091] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, magnetic disks, or optical disks.

[0092] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

[0093] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications that fall outside the scope of this specification.

[0094] Obviously, those skilled in the art can make various modifications to this specification without departing from its spirit and scope. Therefore, this specification also intends to include any modifications that fall within the scope of the claims and their equivalents.

Claims

1. A method for early warning of coolant overflow, characterized in that, include: The current amount of coolant overflow is determined based on at least one of the following: the current battery health status of the target vehicle, the current mileage of the vehicle, and the current time since the vehicle was taken off the production line. Calculate the interval overflow based on the current overflow amount and the historical overflow amount of the target vehicle; Based on the aforementioned interval overflow amount and preset redundancy volume, early warning information is generated.

2. The method according to claim 1, characterized in that, The determination of the current coolant overflow based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time includes: The priority of multiple preset overflow determination strategies is obtained, wherein each preset overflow determination strategy determines the amount of coolant overflow based on at least one of the following parameters: battery health status, vehicle mileage, and vehicle off-line usage time. Based on the priority, a target strategy is selected from the plurality of preset overflow determination strategies, and based on the target strategy, the current overflow amount of the coolant is determined.

3. The method according to claim 2, characterized in that, The multiple preset overflow determination strategies include a first strategy, a second strategy, or a third strategy, wherein the first strategy has a higher priority than the second strategy, the second strategy has a higher priority than the third strategy, and determining the current overflow amount of the coolant based on the target strategy includes: The first strategy is used as the target strategy, and the first strategy is to determine the current overflow amount of coolant based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the first strategy, the second strategy shall be used as the target strategy. The second strategy is to determine the current overflow amount of coolant based on the current vehicle mileage or the current vehicle off-line usage time. If the current overflow amount cannot be determined based on the second strategy, the third strategy is used as the target strategy. The third strategy is to determine the current overflow amount of coolant based on the current battery health status.

4. The method according to claim 3, characterized in that, The determination of the current coolant overflow amount based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time includes: Based on the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time, the current overflow amount of coolant corresponding to the current battery health status, the current vehicle mileage, and the current vehicle off-line usage time is determined from a preset mapping relationship between the battery health status, the vehicle mileage, the vehicle off-line usage time, and the overflow amount.

5. The method according to claim 4, characterized in that, The step of determining the current overflow amount of coolant corresponding to the current battery health status, current vehicle mileage, and current vehicle off-line usage time based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time from a preset mapping relationship between these factors includes: If the current battery health status, current vehicle mileage, and current vehicle off-line usage time are not found in the preset mapping relationship, then based on the current battery health status, current vehicle mileage, and current vehicle off-line usage time, an adjacent reference data point is located in the preset mapping relationship; based on the adjacent reference data point, the current overflow amount of coolant is calculated using a linear interpolation algorithm.

6. The method according to claim 3, characterized in that, Based on the current vehicle mileage, determine the current overflow amount of coolant, including: When the current vehicle's off-line usage time is less than or equal to a first preset number of years and the current vehicle's mileage is greater than or equal to a first preset mileage, the current overflow amount of coolant corresponding to the current vehicle's mileage is determined from the first mapping relationship between the vehicle's mileage and the overflow amount based on the current vehicle's mileage.

7. The method according to claim 6, characterized in that, Based on the current vehicle's off-line usage time, the current overflow amount of coolant is determined, including: When the current vehicle's off-line usage time is greater than or equal to the second preset age and the current vehicle's mileage is less than or equal to the first preset mileage, the current overflow amount of coolant corresponding to the current vehicle's off-line usage time is determined from the second mapping relationship between the vehicle's off-line usage time and the overflow amount, based on the current vehicle's off-line usage time. The second preset age is greater than the first preset age.

8. The method according to claim 3, characterized in that, Determining the current overflow amount of coolant based on the current battery health status includes: Based on the current battery health status, the current overflow amount of the coolant corresponding to the current battery health status is determined from the third mapping relationship between the battery health status and the overflow amount.

9. The method according to claim 8, characterized in that, The step of determining the current overflow amount of coolant corresponding to the current battery health state from a third mapping relationship between the current battery health state and the overflow amount, based on the current battery health state, includes: Based on the current battery health state, the initial overflow amount of the coolant corresponding to the current battery health state is determined from the third mapping relationship between the battery health state and the overflow amount. The initial overflow amount is corrected based on the aging correction factor to determine the current overflow amount of the coolant. The aging correction factor includes at least one of the following: the average ambient temperature of the vehicle's historical use, the ratio of super-fast charging times to total charging times, and the cumulative cycle count of the battery cells.

10. The method according to claim 1, characterized in that, The calculation of the interval overflow based on the current overflow amount and the historical overflow amount of the target vehicle includes: The interval overflow is calculated based on the difference between the current overflow and the historical overflow of the target vehicle.

11. The method according to claim 1, characterized in that, The generation of early warning information based on the interval overflow amount and the preset redundancy volume includes: Calculate the volume surplus difference based on the interval overflow amount and the preset redundant volume; The warning information is generated based on the difference in volume margin and the preset margin safety threshold.

12. The method according to claim 1, characterized in that, After generating the warning information based on the interval overflow amount and the preset redundancy volume, the method further includes: Based on the target warning level of the aforementioned warning information, a message push strategy is determined. Based on the information push strategy, the warning information is sent to the target terminal.

13. A warning device for coolant overflow, characterized in that, include: The cumulative overflow determination unit is used to determine the current overflow amount of coolant based on at least one of the target vehicle's current battery health status, current vehicle mileage, and current vehicle off-line usage time. An interval overflow calculation unit is used to calculate the interval overflow amount based on the current overflow amount and the historical overflow amount of the target vehicle; The early warning information generation unit is used to generate early warning information based on the interval overflow amount and the preset redundancy volume.

14. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program stored in the memory, implements the steps of the early warning method for coolant overflow as claimed in any one of claims 1 to 12.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the early warning method for coolant overflow as described in any one of claims 1 to 12.

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