Vehicle battery estimation method

Abstract

The invention relates to a vehicle battery estimation method, vehicle-mounted equipment and a vehicle. The method comprises the following steps: S1, determining one or more maximum values of first battery parameter measurement values of a vehicle battery in a plurality of vehicle use sections; s2, determining the current maximum available value of the vehicle battery for the first battery parameter; and S3, determining an estimated score of the vehicle battery with respect to the first battery parameter according to a ratio of the maximum available value to the maximum one or more values.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicles, and in particular to a vehicle battery estimation method, an on-board device, and a vehicle. Background Art

[0002] Currently, the main method for evaluating high-voltage battery aging relies on the SOH (State of Health) indicator, which mainly measures the degree of battery aging from changes in physical parameters such as battery capacity decay, internal resistance increase, or available power decrease. However, these evaluation methods are mostly based on test results under laboratory conditions and fail to fully consider the differences in driving habits of different users in actual use. Summary of the invention

[0003] In view of the above problems, the present disclosure aims to provide a vehicle battery estimation method, an on-board device and a vehicle.

[0004] The vehicle battery estimation method of the first aspect of the present disclosure includes: S1: determining the maximum one or more values ​​of the first battery parameter measurement value of the vehicle battery within multiple vehicle usage segments; S2: determining the current maximum available value of the vehicle battery for the first battery parameter; and S3: determining the estimated score of the vehicle battery regarding the first battery parameter based on the ratio of the maximum available value to the maximum one or more values.

[0005] According to the vehicle battery estimation method of some embodiments of the present disclosure, optionally, step S3 further includes: determining an estimation score of the vehicle battery regarding the first battery parameter based on a ratio of a maximum available value to a maximum value of the first battery parameter measurement value.

[0006] According to the vehicle battery estimation method of some embodiments of the present disclosure, optionally, step S3 further includes: determining an estimation score of the vehicle battery regarding the first battery parameter based on a ratio of a maximum available value to an average of one or more maximum values ​​of the first battery parameter measurement values.

[0007] According to the vehicle battery estimation method of some embodiments of the present disclosure, optionally, the first battery parameter is discharge power.

[0008] According to the vehicle battery estimation method of some embodiments of the present disclosure, optionally, the vehicle usage segment is a vehicle usage time period or a vehicle usage mileage segment.

[0009] According to the vehicle battery estimation method of some embodiments of the present disclosure, optionally, the plurality of vehicle usage segments end at the current vehicle usage moment.

[0010] A vehicle battery estimation method according to some embodiments of the present disclosure. Optionally, the method further includes: S4: determining a battery score based on an estimated score of a first battery parameter and an estimated battery aging score, wherein the estimated vehicle battery aging score includes: the ratio of the current capacity of the vehicle battery to the factory capacity.

[0011] A vehicle battery estimation method according to some embodiments of the present disclosure. Optionally, it may further include: when the vehicle battery score is lower than a predetermined score threshold, notifying to replace the vehicle battery.

[0012] A vehicle battery estimation method according to some embodiments of the present disclosure. Optionally, it may further include: when the ratio is greater than 1, setting the ratio equal to 1.

[0013] An in-vehicle device according to a second aspect of the present disclosure, which includes a processor and a memory. The memory stores instructions, and when the processor executes the instructions, it implements the vehicle battery estimation method according to any one of the foregoing embodiments.

[0014] A vehicle according to a third aspect of the present disclosure includes an in-vehicle device according to any one of the foregoing embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart showing a vehicle battery estimation method 100 according to some embodiments is shown.

[0016] Figure 2 A schematic diagram of battery parameter measurement used in a vehicle battery estimation method according to some other embodiments is shown. DETAILED DESCRIPTION

[0017] Some of the multiple embodiments of the present disclosure are introduced below, aiming to provide a basic understanding of the present disclosure. It is not intended to identify the key or decisive elements of the present disclosure or to limit the scope to be protected.

[0018] For the sake of brevity and illustrative purposes, the principles of the present disclosure are mainly described herein with reference to its exemplary embodiments. However, those skilled in the art will readily recognize that the same principles can be equivalently applied to all types of vehicle battery estimation methods, in-vehicle devices, and vehicles, and these same principles can be implemented therein, and any such variations do not depart from the true spirit and scope of this patent application.

[0019] Moreover, in the following description, reference is made to the accompanying drawings, which illustrate specific exemplary embodiments. Electrical, mechanical, logical, and structural changes may be made to these embodiments without departing from the spirit and scope of the present disclosure. Additionally, although a feature of the present disclosure is disclosed in connection with only one of several implementations / embodiments, this feature may be combined with one or more other features of the other implementations / embodiments as may be desired and / or advantageous for any given or identifiable function. Accordingly, the following description should not be taken in a limiting sense, and the scope of the present disclosure is defined by the appended claims and their equivalents.

[0020] Terms such as "comprising" and "including" mean that the technical solutions of the present disclosure do not exclude the situation of having other units (modules) and steps that are not directly or explicitly stated in addition to the units (modules) and steps directly and explicitly stated in the specification and claims.

[0021] Figure 1 A flowchart of a vehicle battery estimation method 100 according to some embodiments is shown. The vehicle battery estimation method 100 may include the following steps:

[0022] In step S1, determine one or more maximum values of the first battery parameter measurement values of the vehicle battery within a plurality of vehicle usage segments. That is, it is necessary to collect performance data (measurement values) of the first battery parameter of the vehicle battery under different usage conditions. These measurement values may come from different usage stages of the vehicle (such as different driving time periods or mileage segments) to ensure that the diversity of user driving habits and the influence of environmental factors in different usage stages on battery performance can be captured. Among them, in some examples, the first battery parameter may be any parameter related to battery performance, such as discharge power, charging rate, temperature response, and changes in battery voltage, current, and resistance.

[0023] In step S2, determine the current maximum available value of the vehicle battery for the first battery parameter. That is, it is necessary to determine the maximum available value of the vehicle battery for the first battery parameter under current conditions. Here, the current conditions not only refer to the specific operating condition parameters of the battery during vehicle operation (such as load, speed, temperature, etc.), but also include the health status and aging degree of the battery itself. In some examples, the maximum available value for the first battery parameter needs to consider factors such as: temperature effect, when the battery operates in a high or low temperature environment, its performance will change, so the estimation of the maximum available value needs to be adjusted; state of charge, the performance of the battery is also different in high and low state of charge; aging degree, as the usage time increases, the internal structure of the battery gradually changes, resulting in problems such as capacity decline and internal resistance increase, which are also reference factors for the size of the maximum available value; safety protection mechanism, the battery management system (BMS) can have various protection measures, such as overheat protection, overcurrent protection, etc., which may also impose constraints on the maximum available value.

[0024] In step S3, determine the estimated score of the vehicle battery for the first battery parameter according to the ratio of the maximum available value to the largest one or more values. Based on the measurement values obtained in the previous two steps, the estimated score of the vehicle battery for the first battery parameter can be obtained by calculating the ratio between the maximum available value and the largest one or more values determined in step S1. This ratio can, for example, indicate a quantification of the current performance of the battery relative to its historical performance (i.e., multiple vehicle usage segments), and can partially provide users with information about the usage of the vehicle battery.

[0025] In this way, the calculated estimated score not only takes into account the aging of the battery itself, but also combines the actual usage patterns of the user, making the evaluation result closer to the user's real experience. For example, for users who pursue a high-performance driving experience, they may feel the problem of insufficient power earlier, while users with steady driving may still think the battery can be used normally after the battery aging reminder. Therefore, the present disclosure provides a personalized and practical battery estimation method. This estimation method combines the usage conditions of multiple vehicle usage segments, quantifies and presents the ratio between the maximum available value and the historical usage value of a certain battery parameter, thereby indicating some driving habits of the user, being closer to the user's scoring of the usage feeling of the vehicle battery, and can avoid unnecessary battery replacement to a certain extent, while improving driving safety and economy.

[0026] In some embodiments, step S3 further includes: determining an estimated score of the vehicle battery with respect to the first battery parameter according to the ratio of the maximum available value to the maximum value of the first battery parameter measurement values. Wherein, the maximum value of the first battery parameter measurement values indicates the peak value of the first battery parameter measurement values that the user has reached in the foregoing multiple vehicle usage segments. By calculating the ratio of the maximum available value to this peak value, a ratio reflecting the current performance of the battery relative to the user's historical highest demand, for example, can be obtained. In some examples, when this ratio is 1 or close to 1, it indicates that the battery can still meet the user's highest peak demand; while if the ratio is significantly lower than 1, it prompts the user that the battery performance may have declined and cannot provide the same experience output as before (this experience output is associated with the specific type of the first battery parameter, for example, the available power of the battery is related to the user's maximum acceleration driving experience).

[0027] In some embodiments, step S3 further includes: determining an estimated score of the vehicle battery with respect to the first battery parameter according to the ratio of the maximum available value to the average value of one or more maximum values of the first battery parameter measurement values. That is to say, taking the average value of one or more maximum values of the first battery parameter measurement values as the demand characterization of the user for the first battery parameter can more accurately reflect the user's driving habits. For example, for urban commuters or long-distance travelers, their driving patterns are often relatively regular, but there may be occasional extreme operations (such as excessive vehicle speed). Therefore, using the average value can better capture the regular usage patterns of these users and avoid the influence of individual abnormally high demands (such as occasional excessive vehicle speed) on the overall battery evaluation result.

[0028] In some embodiments, the first battery parameter is the discharge power. The discharge power is related to the power performance and acceleration ability of the vehicle (especially an electric vehicle), especially in situations where rapid response or high-power output is required. As the battery ages, the maximum discharge power it can provide often gradually decreases, which not only affects the vehicle's performance but may also cause the user to feel a lack of power in specific situations. Therefore, choosing the discharge power as the first battery parameter is more in line with the concerns of most users and also provides a representative evaluation basis for the battery health status. In addition, the change in the discharge power can also be an important indicator for measuring the degree of battery aging, helping the user to timely understand the battery status and make corresponding maintenance decisions.

[0029] In some embodiments, the vehicle usage segment is a vehicle usage time period or a vehicle usage mileage segment. The vehicle usage segment refers to an interval divided by time or driving distance, that is, a vehicle usage time period or a vehicle usage mileage segment. In this way, the driving habits of users and their impact on battery performance can be captured more accurately. For example, every 1000 kilometers can be selected as a mileage segment, or a fixed time interval (such as daily, weekly, monthly) can be set. Then, for example, the 3000-kilometer mileage from the current mileage can be used as 3 mileage segments (i.e., multiple vehicle usage segments), and the maximum one or more measured values of the first battery parameter in these 3 mileage segments can be measured.

[0030] In some embodiments, multiple vehicle usage segments end at the current vehicle usage moment. That is to say, the multiple vehicle usage segments used for battery estimation will be continuously updated and end at the current vehicle usage moment. In this way, the battery estimation is not only based on historical data but also can be updated in real time to reflect the latest usage situation. This dynamic update mechanism can ensure that the estimation results are always highly consistent with the actual situation. For example, if the user has recently driven intensively several times, then these new data will be added to the estimation method in a timely manner, thus affecting the final estimation score. This helps to provide more immediate and accurate feedback, enabling users to adjust their driving habits or consider replacing the battery according to the latest evaluation results, ensuring safety and economy. In addition, as time passes, multiple vehicle usage segments can timely add the measured values of the most recent usage segment and discard the measured values of the earliest usage segment, so as to keep the first battery parameter measured sliding according to the current moment.

[0031] In some embodiments, the vehicle battery estimation method 100 may further include: in step S4, determining a battery score according to the estimation score of the first battery parameter and the battery aging estimation score, wherein the vehicle battery aging estimation score includes: the ratio of the current capacity of the vehicle battery to the factory capacity. By combining these two different evaluation metrics (the estimation score of the first battery parameter (such as discharge power) and the battery health indicator SOH (State of Health)), a more comprehensive battery score can be obtained. SOH is a standard method for measuring aging based on the change in battery capacity, while the first battery parameter is associated with the specific driving habits of users. Combining the two can provide users with a more comprehensive perspective, enabling them to not only understand the physical aging of the battery but also know whether the current battery performance meets the needs of their personal driving habits. Such a comprehensive score helps to guide users to make more informed decisions, such as when they should consider replacing the battery or how to optimize their driving habits to extend the battery life.

[0032] Of course, the battery rating can be carried out according to a variety of battery parameters, and different calculation weights can be assigned to different battery parameters, and the multiplication values of a variety of battery parameters and their respective weights are added together to obtain the battery rating. For example, the aforementioned battery aging estimation score can be set with a weight of 0.6, while the first battery parameter can be set with a weight of 0.4. Therefore, when the battery aging estimation score is 50 and the first battery parameter estimation score is 40, the battery rating can be obtained as 50 * 0.6 + 40 * 0.4 = 46 points.

[0033] In some embodiments, the vehicle battery estimation method 100 may further include: when the vehicle battery rating is lower than a predetermined rating threshold, notify to replace the vehicle battery. That is to say, when the comprehensively obtained vehicle battery rating is lower than the predetermined rating threshold, the system will issue an alarm or prompt to advise the user to consider replacing the vehicle battery. In this way, potential safety hazards caused by ignoring battery health problems can be prevented. For example, if the comprehensive score is below 70 points, it can be considered that the battery performance has significantly declined and is no longer suitable for continued use, and at this time, it should be replaced in time. Of course, the specific threshold can be flexibly adjusted according to different vehicle models and usage scenarios to adapt to various actual situations. This measure ensures that users can take actions at the appropriate time, which not only guarantees driving safety but also improves economic efficiency.

[0034] In some embodiments, the vehicle battery estimation method 100 may further include: when the ratio is greater than 1, set the ratio equal to 1. For example, according to the measured value of the first battery parameter, if it is determined that the user's driving habit is to always drive without exceeding the maximum available value (for example, always use a discharge power form lower than the maximum available discharge power), then the ratio may be greater than 1 (i.e., 100%), indicating that the vehicle battery always meets the user's needs. This helps to maintain the accuracy and stability of the estimation method, prevent outliers (such as values greater than 1) from interfering with the overall judgment, and ensure the rationality and interpretability of the estimation score. For example, when considering the weights of other battery parameters as described above, it can prevent outliers from making the battery rating incorrect.

[0035] Figure 2Shows a schematic diagram of battery parameter measurement used in a vehicle battery estimation method according to some other embodiments. This method records the maximum discharge power (Pmax) of the vehicle in each 1000-kilometer driving distance segment and uses it to evaluate the performance change of the battery. Specifically, during the vehicle's driving process, the system continuously records the discharge power of the battery. Whenever the vehicle has traveled 1000 kilometers, the maximum discharge power within this distance segment is recorded. Then, the maximum discharge power within each 1000-kilometer segment is stored in the memory of the in-vehicle device. For example, the maximum discharge power of the first 1000-kilometer segment is denoted as Pmax_1, the maximum discharge power of the second 1000-kilometer segment is denoted as Pmax_2, and so on until Pmax_n. The maximum discharge power Pmax among these n segments is found. At the same time, the current maximum available discharge power Pc of the battery is also determined. Therefore, for the battery parameter of discharge power, the estimated score that can be obtained is Pc / Pmax. This estimated score can provide a more intuitive consideration for the user, that is, whether the current battery's discharge power capability can meet the user's own driving needs and the degree of satisfaction.

[0036] According to another aspect of the present disclosure, there is also provided an in-vehicle device, which includes a processor and a memory. The memory stores instructions, and when the processor executes these instructions, it implements the vehicle battery estimation method according to any embodiment herein. The in-vehicle device can, for example, refer to an electronic device installed inside the vehicle or closely associated with it, used to monitor, manage, and optimize various functions of the vehicle. In the present disclosure, the in-vehicle device can also be, for example, a system with the ability to monitor battery performance, which can not only collect and process data from the battery in real time but also evaluate the battery health status according to a preset algorithm.

[0037] According to yet another aspect of the present disclosure, there is also provided a vehicle, which includes the in-vehicle device according to any embodiment herein. For example, a battery electric vehicle (BEV), a plug-in hybrid electric vehicle (PHEV), or an internal combustion engine vehicle equipped with a battery system. However, it can be understood that the methods and in-vehicle devices of the present disclosure can also be used in other various types of transportation means that rely on batteries as the power source or auxiliary energy source, such as electric motorcycles, electric aircraft, electric ships, etc.

[0038] The above mainly describes the vehicle battery estimation method, in-vehicle device, and vehicle of the present disclosure. Although only some specific embodiments of the present disclosure have been described, those of ordinary skill in the art should understand that the present disclosure can be implemented in many other forms without departing from its gist and scope. Therefore, the examples and embodiments shown are regarded as illustrative rather than restrictive, and the present disclosure may cover various modifications and substitutions without departing from the spirit and scope of the present disclosure as defined by the appended claims.

Claims

1. A vehicle battery estimation method, characterized in that: The vehicle battery estimation method comprises the following steps: S1: determining the maximum one or more values ​​of the first battery parameter measurement values ​​of the vehicle battery in multiple vehicle usage segments; S2: Determine the current maximum available value of the vehicle battery for the first battery parameter; as well as S3: Determine an estimated score of the vehicle battery with respect to the first battery parameter based on a ratio of the maximum available value to the maximum one or more values.

2. The vehicle battery estimation method according to claim 1, characterized in that: The step S3 further comprises: An estimated score for the vehicle battery with respect to the first battery parameter is determined based on a ratio of the maximum available value to a maximum value of the first battery parameter measurement.

3. The vehicle battery estimation method according to claim 1, characterized in that: The step S3 further comprises: An estimated score for the vehicle battery with respect to the first battery parameter is determined based on a ratio of the maximum available value to an average of the largest one or more values ​​of the first battery parameter measurements.

4. The vehicle battery estimation method according to claim 1, characterized in that: The first battery parameter is discharge power.

5. The vehicle battery estimation method according to claim 1, characterized in that: The vehicle usage segment is a vehicle usage time period or a vehicle usage mileage segment.

6. The vehicle battery estimation method according to claim 1, characterized in that: The plurality of vehicle use segments end at a current vehicle use time.

7. The vehicle battery estimation method according to claim 1, characterized in that: The method further comprises: S4: Determine a battery score according to the estimated score of the first battery parameter and the estimated battery aging score, wherein the estimated vehicle battery aging score includes: a ratio of a current capacity of the vehicle battery to a factory capacity.

8. The vehicle battery estimation method according to claim 1, characterized in that: The method further comprises: When the vehicle battery score is lower than a predetermined score threshold, a notification is given to replace the vehicle battery.

9. The vehicle battery estimation method according to claim 1, characterized in that: The method further comprises: When the ratio is greater than 1, the ratio is set equal to 1.

10. A vehicle-mounted device, characterized in that: The vehicle-mounted device includes a processor and a memory, wherein the memory stores instructions, and when the processor executes the instructions, the vehicle battery estimation method according to any one of claims 1-9 is implemented.

11. A vehicle, characterized in that: The vehicle includes the in-vehicle device according to claim 10.

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