Charging upper limit determination method, apparatus, device, medium, and product

Abstract

This invention provides a method, apparatus, device, medium, and product for determining a charging upper limit, belonging to the field of power battery management technology. The method includes: determining an initial charging upper limit value based on charging environment information and travel demand; and determining a corresponding final charging upper limit value after correcting the initial charging upper limit value based on the charging environment information. This invention determines the initial charging upper limit value based on multi-dimensional information such as environmental information and user travel demand, and then corrects the initial charging upper limit value based on environmental information, realizing intelligent decision-making on the charging upper limit and achieving a dynamic balance between meeting user travel needs and ensuring long-term battery life and safety.

Description

Technical Field

[0001] This invention relates to the field of battery management technology, and in particular to a method, apparatus, device, medium, and product for determining the upper limit of charging. Background Technology

[0002] In the use of power batteries in new energy vehicles, in order to meet users' needs for faster charging speeds and longer battery lifespans, it is generally recommended that users lower the upper limit of power battery charging, such as charging to a maximum of 90% State of Charge (SOC). However, this strategy does not take into account the impact of other factors on battery capacity, resulting in the recommended upper limit of charging not meeting the actual needs of users. Summary of the Invention

[0003] This invention provides a method, apparatus, device, medium, and product for determining the charging upper limit, which addresses the deficiency in the prior art where the recommended charging upper limit of power batteries cannot meet the actual needs of users. This invention aims to maximize battery life and ensure battery safety while flexibly and effectively meeting the actual needs of users in different scenarios.

[0004] This invention provides a method for determining a charging upper limit, comprising: The initial charging limit is determined based on charging environment information and travel demand. Based on the charging environment information, the initial charging upper limit value is corrected, and then the corresponding final charging upper limit value is determined.

[0005] According to a method for determining a charging upper limit provided by the present invention, the step of determining a corresponding final charging upper limit value after correcting the initial charging upper limit value based on the charging environment information specifically includes: The charging temperature is determined based on the charging environment information. The final charging upper limit value is determined based on the charging temperature, the initial charging upper limit value, and the charging upper limit correspondence table. The charging upper limit correspondence table shows the correspondence between charging temperature, charging upper limit value, cycle life, storage life, and safe temperature.

[0006] According to a method for determining a charging upper limit provided by the present invention, the step of determining the final charging upper limit value based on the charging temperature, the initial charging upper limit value, and a charging upper limit correspondence table specifically includes: Based on the correspondence table between the charging temperature and the charging upper limit, at least one alternative charging upper limit value is determined; Based on the cycle life, storage life, and safe temperature corresponding to the alternative charging upper limit, the benefit value of each of the alternative charging upper limit values ​​is determined, and the alternative charging upper limit corresponding to the maximum benefit value is taken as the final charging upper limit value.

[0007] According to a method for determining a charging upper limit provided by the present invention, the step of determining an initial charging upper limit value based on charging environment information and travel demand specifically includes: Based on the charging environment information and the travel demand, an estimated power consumption value is obtained; The initial charging upper limit is determined based on the estimated power consumption and the state of charge limit.

[0008] According to the present invention, a method for determining a charging upper limit is provided to obtain travel demand, specifically including: The travel demand is determined based on at least one of the following: the battery carrier's location information, navigation information, travel mode, and travel habits during the target time period.

[0009] According to a method for determining a charging upper limit provided by the present invention, the step of determining travel demand based on at least one of the following: battery carrier location information, navigation information, travel mode, and travel habits during the target time period, specifically includes: If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is in a long-distance travel state, the travel demand is determined to be long-distance travel. If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is not in a long-distance travel state, the travel demand is determined as commuting or holiday travel according to the travel habits of the target time period.

[0010] According to a method for determining a charging upper limit provided by the present invention, after obtaining the final charging upper limit value, the method further includes: Determine and output the recommended upper limit for charging; Specifically, determining the recommended upper limit for charging includes: When the battery is a lithium iron phosphate battery and the lithium iron phosphate battery does not require calibration of its state of charge, the recommended upper limit for charging is the final upper limit for charging. When the battery is a lithium iron phosphate battery, and the lithium iron phosphate battery needs to be calibrated for its state of charge, the recommended upper limit for charging is a full charge. If the battery is not a lithium iron phosphate battery, the recommended upper limit for charging is the final upper limit for charging.

[0011] The present invention also provides a charging upper limit determination device, comprising: The initial value determination module is used to determine the initial charging upper limit based on charging environment information and travel demand. The correction module is used to correct the initial charging upper limit value based on the charging environment information and then determine the corresponding final charging upper limit value.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the charging upper limit determination method as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the charging upper limit determination method as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the charging upper limit determination method as described above.

[0015] This invention provides a method, apparatus, device, medium, and product for determining the charging upper limit. It determines the initial charging upper limit value based on multi-dimensional information such as environmental information and user travel needs, and then corrects the initial charging upper limit value based on environmental information, thereby realizing intelligent decision-making on the charging upper limit and achieving a dynamic balance between meeting users' short-term travel needs and ensuring the long-term life and safety of the battery. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is one of the flowcharts illustrating the method for determining the charging upper limit provided by the present invention; Figure 2 This is the second flowchart illustrating the charging upper limit determination method provided by the present invention; Figure 3 This is a schematic diagram of the process for obtaining travel needs provided by the present invention; Figure 4 This is a schematic diagram of the process provided by the present invention for determining the corresponding final charging upper limit value after correcting the initial charging upper limit value based on the charging environment information; Figure 5 This is a schematic diagram of the charging upper limit determination device provided by the present invention; Figure 6 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0018] Figure label: 510: Initial value determination module; 520: Correction module; 530: Output module; 610: Processor; 620: Communication interface; 630: Memory; 640: Communication bus. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] Current power battery management solutions typically improve charging speed and slow battery aging by lowering the charging cap. However, this approach leads to a poor user experience in various real-world scenarios. For example, in low-temperature winter conditions, the usable battery capacity decreases. Forcibly limiting the charging cap significantly reduces the actual driving range, exacerbating range anxiety. In long-distance travel scenarios, a lower charging cap means users need to charge more frequently, greatly reducing travel convenience. Conversely, maintaining a 100% SOC charging cap to meet range requirements accelerates battery aging, shortens its lifespan, and poses potential safety hazards. Therefore, existing solutions cannot flexibly and effectively meet users' actual needs in different scenarios while maximizing battery lifespan and ensuring battery safety.

[0021] It should be noted that all actions involving the acquisition of signal information or data in this invention are carried out in compliance with the relevant data protection laws and policies of the country where the information or data is located, and with the authorization of the owner of the signal information or data.

[0022] The following is combined Figures 1 to 6 The present invention describes a method, apparatus, device, medium, and product for determining the charging upper limit, applicable to batteries with charging capabilities, such as power batteries.

[0023] Example 1 Figure 1 This is one of the flowcharts illustrating the charging upper limit determination method provided by the present invention, such as... Figure 1 As shown, the method includes the following: S110: Determine the initial charging upper limit based on charging environment information and travel demand.

[0024] In one possible implementation, the charging environment information includes outdoor ambient temperature and battery operating ambient temperature, which is used to determine the battery's charging temperature.

[0025] Specifically, taking a vehicle as the battery carrier as an example, charging environment information is obtained in the following ways: a. The vehicle interacts with weather services via an onboard communication module to obtain weather forecasts for the area where the vehicle is located, thereby obtaining the outdoor ambient temperature. The onboard communication module can be a T-BOX or other communication module.

[0026] b. The battery operating environment temperature, such as the battery cell temperature, can be directly obtained in real time through sensors inside the vehicle.

[0027] The above charging environment information can be obtained directly from the vehicle's human-machine interface.

[0028] Travel demand data reflects users' current or recent travel plans and intentions, and is directly related to users' urgent need for extended driving range.

[0029] Specifically, travel demand information can be obtained in the following ways: reading the user's self-inputted travel demands, analyzing navigation information, analyzing the battery carrier's location information, and analyzing the battery carrier's historical travel habits. The user's self-inputted travel demands, navigation information, and battery carrier's location information can be obtained directly from the in-vehicle human-machine interface.

[0030] In one possible implementation, an initial charging limit can be matched based on fundamental rules. For example, if the travel need is for long-distance travel, the initial charging limit can be preset to a higher value (e.g., 90% or 100%). If the travel need is for daily commuting, the initial charging limit can be preset to a lower value (e.g., 80% or 90%) to prioritize battery life. These rules are set based on the average energy consumption performance of the battery under different travel needs recorded in historical power consumption information.

[0031] In one possible implementation, an initial charging ceiling value can be predicted based on a predictive model. For example, charging environment information, travel demand, and typical energy consumption parameters extracted from historical power consumption information can be used as inputs to the predictive model to obtain the initial charging ceiling value output by the predictive model, which is a charging ceiling value that can meet basic range requirements and initially consider environmental factors.

[0032] In one possible implementation, a default initial charging limit can be provided based on experience or user history, for example, 90% in summer and 100% in winter.

[0033] S120: Based on the charging environment information, the initial charging upper limit value is corrected and the corresponding final charging upper limit value is determined.

[0034] This step combines the initial charging upper limit with the actual temperature conditions to obtain a more reasonable and optimized charging upper limit under the current temperature conditions.

[0035] The temperature information may include monitoring data such as ambient temperature, battery operating temperature, and battery cell temperature.

[0036] In one possible implementation, the initial charging upper limit can be adjusted based on the specific temperature information. For example, if the temperature information indicates a low ambient or battery temperature, such as below 0°C, considering that low temperatures significantly affect battery capacity and discharge capability, the initial charging upper limit can be slightly adjusted upwards to ensure the user's actual usable driving range. Conversely, if the temperature information indicates a high ambient or battery temperature, such as above 30°C, considering the negative impact of high temperatures on battery life, the initial charging upper limit can be slightly adjusted downwards to slow down battery aging.

[0037] In one possible implementation, corresponding correction rules can be set based on a preset temperature range. For example, in the range of -20℃ to 0℃, the initial charging upper limit remains unchanged or increases by 5%; in the range of 0℃ to 25℃, the initial charging upper limit remains unchanged; and in the range of 25℃ to 40℃, the initial charging upper limit decreases by 5%.

[0038] This invention determines the initial charging limit based on multi-dimensional information such as environmental information and user travel needs, and then corrects the initial charging limit based on environmental information to achieve intelligent decision-making on the charging limit, thereby achieving a dynamic balance between meeting user travel needs and ensuring the long-term lifespan and safety of the battery.

[0039] Example 2 Existing charging limit decision-making schemes often fail to adequately consider the specific charging needs of different battery types. This is particularly true for lithium iron phosphate (LFP) batteries, which require periodic full charging to calibrate their state of charge (SOC). Failure to do so can lead to increased SOC estimation errors and even safety issues such as breakdowns. However, this requirement conflicts with the strategy of "improving battery life by lowering the charging limit." Existing solutions fail to effectively balance this contradiction, resulting in a failure to meet battery health and safety requirements.

[0040] In one possible implementation, such as Figure 2 As shown, after obtaining the final charging limit, the following steps are also included: S130: Determine and output the recommended upper limit for charging.

[0041] The recommended upper limit for charging is the highest percentage of state of charge that the system recommends users to charge the power battery to, providing users with a decision-making reference.

[0042] In one possible implementation, the recommended value is displayed as a percentage on the in-vehicle human-machine interface, along with a reason for the recommendation, such as: based on navigation and weather information, it is recommended that you set the charging limit to 90% to speed up charging and extend battery life.

[0043] In one possible implementation, the recommended value is sent to the charging pile or battery management system via an onboard communication system, which then automatically executes or adjusts the charging cutoff point.

[0044] In one possible implementation, charging suggestions are pushed to users via a mobile application.

[0045] In this step, a recommended upper limit for charging is output to the user or charging device according to a predetermined decision-making logic. Specifically, the battery type is first identified, which can be determined by reading the battery type identifier or configuration information from the battery carrier's battery management system. After identifying the battery as a lithium iron phosphate battery, it is determined whether the current lithium iron phosphate battery needs to be calibrated for its state of charge (SOC). Subsequently, the recommended upper limit for charging is determined based on the battery type and the need for SOC calibration.

[0046] The calibration of the state of charge (SOC) is achieved by fully charging or discharging the battery to correct the estimation error of the battery management system (BMS) regarding the actual SOC of the battery. In one possible implementation, the need for SOC calibration can be determined based on information such as the SOC estimation error and the time interval between the last full charge and the feedback from the BMS.

[0047] Specifically, situations where lithium iron phosphate batteries need to be calibrated for their state of charge (SOC) include, but are not limited to: when the time interval between full charge and full charge reaches a threshold, when the error in estimating the SOC from the current SOC exceeds an acceptable range, when the battery's health status is not within the standard health status range, and when the battery management system determines that there is a deviation in battery consistency based on historical battery usage data.

[0048] Based on the above, determining the recommended upper limit for charging specifically includes: a. When the battery is a lithium iron phosphate battery and the lithium iron phosphate battery does not require calibration of its state of charge, the recommended upper limit for charging is the final upper limit for charging.

[0049] If the battery is a lithium iron phosphate battery and the lithium iron phosphate battery does not require state of charge calibration, since there is no immediate urgency to calibrate the lithium iron phosphate battery, the final charging upper limit value obtained above will be directly adopted as the recommended charging upper limit value. For example, if the final charging upper limit value is 90%, it is recommended that the user charge to 90%.

[0050] b. If the battery is a lithium iron phosphate battery and the lithium iron phosphate battery requires calibration of its state of charge, the recommended upper limit for charging is a full charge.

[0051] When a calibration requirement is detected for a lithium iron phosphate battery, to ensure the accuracy of the SOC estimation and the long-term stable operation of the battery system, the recommended upper limit for charging is a full charge. This upper limit is forcibly set to a full charge to ensure healthy battery operation. A full charge typically refers to charging the battery to 100% state of charge.

[0052] c. If the battery is not a lithium iron phosphate battery, the recommended upper limit for charging is the final upper limit for charging.

[0053] If the battery is not a lithium iron phosphate battery, but rather a ternary lithium battery or other types of battery, there is no need to consider the specificities of calibration. In this case, the final charging upper limit value obtained above should be taken as the recommended charging upper limit value.

[0054] This invention, by conditionally outputting a recommended upper limit for charging based on the specific type of battery and whether or not calibration of the state of charge (SOC) is required, effectively resolves the conflict between the calibration requirements of lithium iron phosphate batteries and strategies for reducing the upper limit of charging. This ensures both the accuracy of SOC estimation for lithium iron phosphate batteries and the long-term safe operation of the battery system, while also considering battery life and user experience when calibration is not required, thus achieving more refined and safer battery charging management.

[0055] Example 3 In one possible implementation, obtaining travel demand specifically includes: determining travel demand based on at least one of the following: the battery carrier's location information, navigation information, travel mode, and travel habits during the target time period.

[0056] In one possible implementation, such as Figure 3 As shown, determining travel demand based on at least one of the following: battery carrier location information, navigation information, travel mode, and travel habits during the target time period, specifically includes: S310: Determine whether the battery carrier is in a long-distance travel state based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period. If yes, proceed to step S320; otherwise, proceed to step S330.

[0057] The target time period can be a specific time period preceding the current time.

[0058] The travel mode is information input by the user. Users can manually select or set the travel mode through the vehicle's infotainment interface, such as "long-distance travel mode," "daily commuting mode," or "holiday travel mode." The travel mode input by the user can directly serve as their travel needs.

[0059] When a user sets a navigation destination through the vehicle's infotainment system, the system can analyze the mileage of the navigation route and the estimated driving time to determine if it is a long-distance trip. For example, if the navigation mileage exceeds a preset threshold (such as 300 kilometers), it can be determined that the trip is a long-distance travel need.

[0060] In one possible implementation, the user's travel preferences can be inferred by combining the location information of the battery carrier. By analyzing the location information of the battery carrier within a target time period (e.g., the most recent hour, the most recent day, or multiple recent trips), it can be determined whether the battery carrier has been traveling on highways or intercity roads for an extended period of time, or whether it has moved far from the user's usual activity area, thereby determining whether the battery carrier is in a long-distance travel state.

[0061] S320: When the battery carrier is in a long-distance travel state, the travel demand is determined to be long-distance travel.

[0062] Long-distance travel means that the user's current or upcoming trip is mainly for traveling across regions or over long distances, which places high demands on the battery's range. In this case, the system usually needs to prioritize ensuring the battery's range.

[0063] S330: When the battery carrier is not in a long-distance travel state, the travel demand is determined as commuting or holiday travel based on the travel habits of the target time period.

[0064] The travel habits for the target time period are the user's historical travel patterns during that period. Travel demand for the target time period is determined based on these historical patterns. For example, if the user typically drives to work during the target time period, the travel demand is determined to be commuting. If the target time period is typically the user's rest day, the travel demand is determined to be holiday travel.

[0065] Commuting trips represent short, regular trips between the user's current or upcoming workplace or school. In this case, the user's need for extended driving range is usually low, and the system can prioritize battery life.

[0066] Holiday travel refers to a user's current or upcoming trip that is leisure, entertainment, or other non-work-related travel, excluding commuting and long-distance travel. The mileage requirement is between commuting and long-distance travel, or is irregular.

[0067] This invention, through the analysis of the battery carrier's location information, navigation information, user travel patterns, and user travel habits, accurately determines whether the user is currently traveling long distances, commuting, or on holiday. This allows for the acquisition of travel demands that reflect the user's true travel intentions. This refined demand identification provides a crucial basis for subsequent intelligent decision-making regarding charging limits, ensuring that the system can respond to the user's most pressing needs and effectively balance range, battery life, and user experience.

[0068] Example 4 In one possible implementation, step S110, determining the initial charging upper limit based on the charging environment information and the travel demand, specifically includes: S1110: Based on the charging environment information and the travel demand, obtain an estimated power consumption value, that is, the power consumption of the battery carrier in the future period of time or under a specific driving distance.

[0069] In one possible implementation, charging environment information and travel demand can be input into a power consumption model to obtain a power consumption estimate output by the power consumption model.

[0070] The power consumption model can be constructed using a nonlinear prediction model, such as a Long Short-Term Memory (LSTM) artificial neural network algorithm, a random forest algorithm, or other machine learning algorithms. The power consumption model is trained based on the historical power consumption data. The historical power consumption data includes at least one historical trip segment information, which is a set of relevant data generated by the battery carrier for each independent trip completed in the past.

[0071] Historical trip segment information is collected during the battery carrier's operation and includes the charging environment information, trip demand, power consumption information of the battery carrier's electrical load, energy mode of the battery carrier, operating information of the battery carrier, and the total power consumption of the battery. The battery carrier's operating information includes speed, throttle opening, etc. The charging environment information is the same as the charging environment information; please refer to the explanation of step S110. Trip demand is obtained based on time type (e.g., work period / holiday), navigation information, battery carrier's location information, etc.; please refer to the explanation of step S110. The power consumption information of the vehicle's electrical load refers to the power consumption data generated by electrical loads such as air conditioning, lighting, and entertainment systems during each independent trip. Energy modes include pure electric mode, hybrid mode, etc.

[0072] When training the power consumption model, the power consumption model establishes the relationship between the above factors and energy consumption based on historical travel segment information, and establishes a nonlinear prediction model for power consumption based on these relationships.

[0073] S1120: Determine the initial charging upper limit value based on the power consumption estimate and the state of charge limit value.

[0074] The state of charge limit is the minimum state of charge threshold (e.g., 20% SOC) set to protect the battery from over-discharge damage, ensure the basic operation of the battery carrier, or provide a safety redundancy.

[0075] In one possible implementation, the sum of the state-of-charge limit and the estimated power consumption is used as the initial charging limit. This initial charging limit ensures that users can complete their journey under current environmental and travel conditions without the battery being in a dangerously low charge state.

[0076] This invention determines the initial charging upper limit by combining charging environment information, travel demand information, and the state of charge limit. It not only considers the external environment and user intentions, but also the historical actual operation of the battery carrier, thus laying a solid foundation for subsequent fine-tuning and improving the rationality of the charging upper limit decision and user acceptance.

[0077] Example 5 In one possible implementation, in step S120, when correcting the initial charging upper limit based on the charging environment information, the impact of the usage environment on the charging upper limit is first considered. For example, in spring or winter, because the ambient temperature and battery temperature are relatively low, using a higher charging upper limit has less impact on battery life and safety, so it can be recommended that users set a higher charging upper limit. Conversely, in summer or autumn, the battery temperature is higher, so the charging upper limit needs to be set lower.

[0078] Secondly, consider the impact of travel scenarios on the charging limit. During weekdays or commuting, users have lower mileage requirements, and a lower charging limit can meet their commuting needs. However, in long-distance travel scenarios, users require a longer pure electric range, so the charging limit needs to be increased; otherwise, the number of charging trips will increase, which is detrimental to the user experience.

[0079] Considering the impact of seasons and travel scenarios on the charging limit, in one possible implementation, the adjustment rule for the initial charging limit value is as follows: a. During the summer and autumn seasons, when travel demand is for long-distance travel, the initial charging limit is increased to obtain the final charging limit. For example, it is increased from 80% (initial charging limit) to 90% (final charging limit) to minimize the negative impact on battery life and safety while meeting the needs of long-distance travel.

[0080] b. During summer and autumn, when travel demand is primarily commuting, the initial charging upper limit is maintained to obtain the final charging upper limit. Maintaining the initial charging upper limit improves battery life and safety while meeting users' daily travel needs.

[0081] c. During winter and spring, when travel demand is for long-distance travel, the initial charging limit is increased to obtain the final charging limit. In low ambient temperatures, the driving range is shorter, but battery life and safety performance are better; therefore, prioritizing the user's range needs has less impact on battery life and safety. For example, increasing the charge level from 80% (initial charging limit) to 100% (final charging limit).

[0082] d. During winter and spring, when travel demand is primarily commuting, the initial charging limit is increased to obtain the final charging limit. Although users do not require long mileage in commuting scenarios, considering the reduced battery range at low temperatures, a higher charging limit is still necessary. For example, it can be increased from 80% (initial charging limit) to 90% (final charging limit).

[0083] Based on the above, in one possible implementation, such as Figure 4 As shown, in step S120, determining the corresponding final charging upper limit value after correcting the initial charging upper limit value based on the charging environment information specifically includes: S1210: Determine the charging temperature based on the charging environment information.

[0084] Charging temperature has a direct and significant impact on battery charging efficiency, lifespan, and safety performance. The charging temperature can be determined based on the battery cell temperature. If the battery cell temperature is unavailable, it can be determined based on outdoor environmental information such as air temperature.

[0085] S1220: Determine the final charging upper limit value based on the charging temperature, the initial charging upper limit value, and the charging upper limit correspondence table.

[0086] The charging limit correspondence table shows the relationships between charging temperature, charging limit value, cycle life, storage life, and safe temperature. This table is a database or lookup table structure pre-established through extensive offline calibration and experimentation. For different power batteries, the benefits of lowering the charging limit on lifespan and safety may vary. Therefore, it is necessary to obtain the impact of different charging limits on lifespan and safety at each charging temperature through long-term charge-discharge cycles, long-term storage, and safety testing. The charging limit correspondence table stores and reflects the impact and correspondence of setting different charging limits at different charging temperatures on key performance indicators such as cycle life, storage life, and safe temperature of the power battery. Table 1 provides an example of a charging limit correspondence table.

[0087] Table 1. Example of the relationship between charging upper limits

[0088] Based on the charging temperature-to-charging-upper-limit mapping table, the system obtains the possible scenarios that can meet the initial charging upper limit value at that temperature. It then considers the battery's performance at a specific charging temperature (including cycle life, storage life, and safe temperature) to arrive at a more optimized charging upper limit value, i.e., the final charging upper limit value. For example, if the query results show that the battery life corresponding to the initial charging upper limit value is poor or poses a safety hazard at the current charging temperature, the system will select a charging upper limit value that balances lifespan, safety, and user needs as the final charging upper limit value based on the performance data corresponding to other SOC upper limits in the mapping table.

[0089] This invention determines the charging temperature based on charging environment information and corrects the charging upper limit at that temperature using a charging upper limit correspondence table. This transforms the abstract initial charging upper limit into a more specific final charging upper limit that is directly related to the actual performance of the battery. This temperature correction based on offline calibration data effectively incorporates the impact of environmental factors (including seasons and other temperature information) on battery life and safety, making the decision on the charging upper limit more scientific and practical. Thus, while ensuring that the initial charging upper limit meets the user's travel needs, the final charging upper limit, through constraints on battery life and safety, ensures a more accurate balance between user needs, battery life, and battery safety.

[0090] Example 6 In one possible implementation, step S1220, determining the final charging upper limit based on the charging temperature, the initial charging upper limit value, and the charging upper limit correspondence table, specifically includes: S1221: Determine at least one alternative charging upper limit value based on the correspondence table between the charging temperature and the charging upper limit.

[0091] For example, please refer to Table 1. If the initial charging limit is 80% SOC, then select 80% SOC, 90% SOC, and 100% SOC from the charging limit correspondence table as alternative charging limit values. This is to ensure that a better value than the initial charging limit can be selected when necessary (e.g., to meet users' higher demand for battery life).

[0092] S1222: Based on the cycle life, storage life and safe temperature corresponding to the alternative charging upper limit value, determine the benefit value of each of the alternative charging upper limit values, and take the alternative charging upper limit value corresponding to the maximum benefit value as the final charging upper limit value.

[0093] The benefit value is a metric that quantifies the overall advantages brought by a specific charging limit, including the contribution of the specific charging limit to battery health and user experience. Specifically, the benefit value can be determined through methods such as weighted scoring, piecewise function methods, and expert experience rules.

[0094] In the weighted scoring method, different weight coefficients are assigned to cycle life, storage life, and safe temperature. Then, each performance indicator is normalized, and a weighted sum is calculated to obtain the benefit value. The weight coefficients can be fine-tuned according to user preferences; for example, if the user is more concerned about lifespan, cycle life is given a higher weight.

[0095] In the piecewise function method, piecewise functions are defined based on different performance index ranges. For example, when the cycle life exceeds the first threshold, additional benefits are added; when the safe temperature is below the second threshold, the corresponding benefits are deducted.

[0096] In the expert experience rule, based on preset expert experience rules, the merits of each alternative charging upper limit value are directly judged, and a corresponding benefit score is assigned. For example, if a certain charging upper limit can provide the highest cycle life and meet safety requirements at the current temperature, then its benefit value is the highest.

[0097] The maximum value in the benefit value is the optimal charging limit that can maximize the balance between battery life, safety, and user needs under the current temperature conditions.

[0098] This invention determines the charging temperature, identifies all alternative charging upper limits under that temperature, and quantifies the overall benefits of each alternative charging upper limit. Finally, it selects the charging upper limit with the highest benefit as the final charging upper limit, achieving refined decision-making on the charging upper limit. This not only ensures that the final charging upper limit is more scientific and reasonable after temperature correction, but also dynamically provides the optimal charging upper limit strategy based on the user's emphasis on different dimensions such as lifespan and safety. This further enhances the system's intelligence and adaptability, enabling battery management to reach its optimal state.

[0099] It should be noted that the charging upper limit determination method involved in the above embodiments may include at least one of Embodiments 1 to 6. For example, Embodiment 1 may be implemented as an independent embodiment, Embodiment 1+2 may be implemented as an independent embodiment, Embodiment 1+2+3 may be implemented as an independent embodiment, Embodiment 1+2+4 may be implemented as an independent embodiment, Embodiment 1+2+3+4 may be implemented as an independent embodiment, Embodiment 1+2+4+5 may be implemented as an independent embodiment, Embodiment 1+2+3+4+5 may be implemented as an independent embodiment, Embodiment 1+2+4+6 may be implemented as an independent embodiment, Embodiment 1+2+4+5+6 may be implemented as an independent embodiment, Embodiment 1+2+3+4+5+6 may be implemented as an independent embodiment, etc., but not limited to these, and will not be listed one by one here.

[0100] The charging upper limit determination device provided by the present invention is described below. The charging upper limit determination device described below and the charging upper limit determination method described above can be referred to in correspondence.

[0101] The charging limit determination device can be integrated into the central controller (such as the vehicle controller) or battery management system of the electric vehicle, or it can be a cloud server, or it can be executed by a hybrid system that coordinates the vehicle and the cloud.

[0102] like Figure 5 As shown, the charging upper limit determination device provided by the present invention includes: The initial value determination module 510 is used to determine the initial charging upper limit value based on charging environment information and travel demand. The correction module 520 is used to correct the initial charging upper limit value based on the charging environment information and then determine the corresponding final charging upper limit value.

[0103] This invention determines the initial charging limit based on multi-dimensional information such as environmental information and user travel needs, and then corrects the initial charging limit based on environmental information to achieve intelligent decision-making on the charging limit, thereby achieving a dynamic balance between meeting users' short-term travel needs and ensuring the long-term life and safety of the battery.

[0104] In one possible implementation, such as Figure 5 As shown, the charging upper limit determination device also includes: Output module 530 is used to determine and output the recommended upper limit value for charging; Specifically, the output module 530 is used for: If the battery is a lithium iron phosphate battery and the lithium iron phosphate battery does not require calibration of its state of charge, the recommended upper limit for charging is the final upper limit for charging. When the battery is a lithium iron phosphate battery and the lithium iron phosphate battery needs to be calibrated for its state of charge, the recommended upper limit for charging is a full charge. If the battery is not a lithium iron phosphate battery, the recommended upper limit for charging is the final upper limit for charging.

[0105] This invention, by conditionally outputting a recommended upper limit value for charging based on the specific type and whether calibration of the state of charge (SOC) is required, effectively resolves the conflict between the calibration requirements of lithium iron phosphate batteries and the strategy of reducing the upper limit of charging. It can ensure the accuracy of SOC estimation for lithium iron phosphate batteries and the long-term safe operation of the battery system, while also taking into account battery life and user experience when calibration is not required, thereby achieving more refined and safer battery charging management.

[0106] In one possible implementation, the initial value determination module 510 is also used for: If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is in a long-distance travel state, the travel demand is determined to be long-distance travel. If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is not in a long-distance travel state, the travel demand is determined as commuting or holiday travel according to the travel habits of the target time period.

[0107] This invention, through the analysis of the battery carrier's location information, navigation information, user travel patterns, and user travel habits, accurately determines whether the user is currently traveling long distances, commuting, or on holiday. This allows for the acquisition of travel demands that reflect the user's true travel intentions. This refined demand identification provides a crucial basis for subsequent intelligent decision-making regarding charging limits, ensuring that the system can respond to the user's most pressing needs and effectively balance range, battery life, and user experience.

[0108] In one possible implementation, the initial value determination module 510 is specifically used for: Based on the charging environment information and the travel demand, an estimated power consumption value is obtained; The initial charging upper limit is determined based on the estimated power consumption and the state of charge limit.

[0109] This invention determines the initial charging upper limit by combining charging environment information, travel demand information, and the charging state lower limit. This not only considers the external environment and user intent but also the historical actual operation of the battery carrier, thus laying a solid foundation for subsequent fine-tuning and improving the rationality of the charging upper limit decision and user acceptance.

[0110] In one possible implementation, the correction module 520 specifically includes: A charging temperature determination module is used to determine the charging temperature based on the charging environment information. The final upper limit value determination module is used to determine the final upper limit value based on the charging temperature, the initial charging upper limit value, and the charging upper limit correspondence table; The charging upper limit correspondence table shows the correspondence between charging temperature, charging upper limit value, cycle life, storage life, and safe temperature.

[0111] This invention determines the charging temperature based on charging environment information and performs a lookup and correction using a charging upper limit correspondence table. This transforms the abstract initial charging upper limit value into a more specific final charging upper limit value that is directly related to the actual performance of the battery. This temperature correction based on offline calibration data effectively incorporates the impact of environmental factors on battery life and safety, making the decision on the charging upper limit more scientific and practical. This ensures that the final charging upper limit can more accurately balance user needs, battery life, and battery safety.

[0112] In one possible implementation, the final upper limit determination module is specifically used for: Based on the correspondence table between the charging temperature and the charging upper limit, at least one alternative charging upper limit value is determined; Based on the cycle life, storage life, and safe temperature corresponding to the alternative charging upper limit, the benefit value of each of the alternative charging upper limit values ​​is determined, and the alternative charging upper limit corresponding to the maximum benefit value is taken as the final charging upper limit value.

[0113] This invention determines the charging temperature, identifies all alternative charging upper limits under that temperature, and quantifies the overall benefits of each alternative charging upper limit. Finally, it selects the charging upper limit with the highest benefit as the final charging upper limit, achieving refined decision-making on the charging upper limit. This not only ensures that the final charging upper limit is more scientific and reasonable after temperature correction, but also dynamically provides the optimal charging upper limit strategy based on the user's emphasis on different dimensions such as lifespan and safety. This further enhances the system's intelligence and adaptability, enabling battery management to reach its optimal state.

[0114] Figure 6 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a charging upper limit determination method, which includes: The initial charging limit is determined based on charging environment information and travel demand. Based on the charging environment information, the initial charging upper limit value is corrected, and then the corresponding final charging upper limit value is determined.

[0115] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a 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 (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0116] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program that can be stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is able to execute the charging upper limit determination method provided by the above methods, the method comprising: The initial charging limit is determined based on charging environment information and travel demand. Based on the charging environment information, the initial charging upper limit value is corrected, and then the corresponding final charging upper limit value is determined.

[0117] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the charging upper limit determination method provided by the methods described above, the method comprising: The initial charging limit is determined based on charging environment information and travel demand. Based on the charging environment information, the initial charging upper limit value is corrected, and then the corresponding final charging upper limit value is determined.

[0118] The device embodiments described above are merely illustrative. 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 modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0119] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention 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; and these 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 the present invention.

Claims

1. A method for determining a charging upper limit, characterized in that, include: The initial charging limit is determined based on charging environment information and travel demand. Based on the charging environment information, the initial charging upper limit value is corrected, and then the corresponding final charging upper limit value is determined.

2. The method for determining the charging upper limit according to claim 1, characterized in that, The step of determining the corresponding final charging upper limit value after correcting the initial charging upper limit value based on the charging environment information specifically includes: The charging temperature is determined based on the charging environment information. The final charging upper limit value is determined based on the charging temperature, the initial charging upper limit value, and the charging upper limit correspondence table. The charging upper limit correspondence table shows the correspondence between charging temperature, charging upper limit value, cycle life, storage life, and safe temperature.

3. The method for determining the charging upper limit according to claim 2, characterized in that, The determination of the final charging upper limit based on the charging temperature, the initial charging upper limit, and the corresponding table of charging upper limits specifically includes: Based on the correspondence table between the charging temperature and the charging upper limit, at least one alternative charging upper limit value is determined; Based on the cycle life, storage life, and safe temperature corresponding to the alternative charging upper limit, the benefit value of each of the alternative charging upper limit values ​​is determined, and the alternative charging upper limit corresponding to the maximum benefit value is taken as the final charging upper limit value.

4. The method for determining the charging upper limit according to any one of claims 1 to 3, characterized in that, The determination of the initial charging upper limit based on charging environment information and travel demand specifically includes: Based on the charging environment information and the travel demand, an estimated power consumption value is obtained; The initial charging upper limit is determined based on the estimated power consumption and the state of charge limit.

5. The method for determining the charging upper limit according to any one of claims 1 to 4, characterized in that, Obtaining travel needs specifically includes: The travel demand is determined based on at least one of the following: the battery carrier's location information, navigation information, travel mode, and travel habits during the target time period.

6. The method for determining the charging upper limit according to claim 5, characterized in that, Determining travel demand based on at least one of the following: battery carrier location information, navigation information, travel mode, and travel habits during the target time period; specifically including: If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is in a long-distance travel state, the travel demand is determined to be long-distance travel. If, based on at least one of the battery carrier's location information, navigation information, and travel mode within the target time period, it is determined that the battery carrier is not in a long-distance travel state, the travel demand is determined as commuting or holiday travel according to the travel habits of the target time period.

7. The method for determining the charging upper limit according to any one of claims 1 to 6, characterized in that, After obtaining the final charging limit value, the process also includes: Determine and output the recommended upper limit for charging; Specifically, determining the recommended upper limit for charging includes: When the battery is a lithium iron phosphate battery and the lithium iron phosphate battery does not require calibration of its state of charge, the recommended upper limit for charging is the final upper limit for charging. When the battery is a lithium iron phosphate battery, and the lithium iron phosphate battery needs to be calibrated for its state of charge, the recommended upper limit for charging is a full charge. If the battery is not a lithium iron phosphate battery, the recommended upper limit for charging is the final upper limit for charging.

8. A charging upper limit determination device, characterized in that, include: The initial value determination module is used to determine the initial charging upper limit based on charging environment information and travel demand. The correction module is used to correct the initial charging upper limit value based on the charging environment information and then determine the corresponding final charging upper limit value.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the charging upper limit determination method as described in any one of claims 1 to 7.

10. A non-transitory 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 charging upper limit determination method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the charging upper limit determination method as described in any one of claims 1 to 7.

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