Method, device, BMS, electrical equipment and medium for estimating remaining charging time

Abstract

The present application provides a method, device, BMS, electrical equipment and medium for estimating the remaining charging time. The method includes: estimating the battery temperature corresponding to each remaining charging interval according to a thermal prediction model; determining the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval; and determining the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval. In this way, during the estimation of the remaining charging time, the battery temperature is coupled, and the influence of temperature on the remaining charging time is considered, so that the accuracy of the estimated remaining charging time is higher, and the vehicle use experience of electric vehicle owners is better.

Description

Technical Field

[0001] The present application relates to the field of charging technology, and particularly to a method and device for estimating remaining charging time, a BMS, an electrical equipment, and a medium. Background Art

[0002] With the rapid popularization of new energy electric vehicles, the charging duration has become one of the main concerns of many electric vehicle owners during daily use. In particular, the estimation of the remaining fast charging time is a very concerned factor for electric vehicle owners when they perform temporary fast charging during daily travel. Accurately estimating the time required for the current fast charging process through software algorithms can provide an accurate time basis for electric vehicle owners to reasonably arrange their vehicle use time and work and life time. Currently, the way to estimate the remaining charging time is to calculate the remaining charging time according to the formula remaining charging time = remaining capacity / charging current. The accuracy of the remaining charging time estimated by this method is not high, seriously affecting the vehicle use experience of electric vehicle owners. Summary of the Invention

[0003] The purpose of the embodiments of the present application is to provide a method and device for estimating remaining charging time, a BMS (Battery Management System), an electrical equipment, and a medium, so as to improve the accuracy of estimating the remaining charging time.

[0004] In a first aspect, the embodiments of the present application provide a method for estimating remaining charging time, including: estimating the battery temperature corresponding to each remaining charging interval according to a thermal prediction model; determining the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval; and determining the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval.

[0005] In the technical solution of the embodiments of the present application, through the thermal prediction model, it is possible to estimate the battery temperature corresponding to each remaining charging interval, and then determine the charging rate corresponding to each remaining charging interval based on the battery temperature, and then determine the remaining charging time of each remaining charging interval. In this way, during the estimation of the remaining charging time, the battery temperature is coupled, and the influence of temperature on the remaining charging time is considered, so that the accuracy of the estimated remaining charging time is higher, and the vehicle use experience of electric vehicle owners is better.

[0006] In some embodiments, estimating the battery temperature corresponding to each remaining charging interval according to the thermal prediction model includes: for each remaining charging interval: estimating the battery temperature change amount within the remaining charging interval according to the thermal prediction model; and determining the battery temperature of the next remaining charging interval according to the battery temperature of the remaining charging interval and the battery temperature change amount within the remaining charging interval.

[0007] In the above technical solution, by utilizing the characteristic that charging is carried out in one interval until it is full and then the next interval is charged, and by estimating the change in battery temperature within the remaining charging interval and combining it with the battery temperature in this remaining charging interval, the battery temperature in the next remaining charging interval can be quickly estimated, thereby achieving a quick estimation of the battery temperature for all remaining charging intervals. The solution is simple and reliable to implement, with low computational overhead, and is conducive to being adopted on various charging devices.

[0008] In some embodiments, estimating the change in battery temperature within the current remaining charging interval according to the thermal prediction model includes: estimating the temperature change per unit time within the remaining charging interval according to the thermal prediction model; and determining the change in battery temperature within the remaining charging interval according to the remaining charging time in this remaining charging interval and the temperature change per unit time.

[0009] In the above technical solution, by estimating the temperature change per unit time within the remaining charging interval and combining it with the remaining charging time in this remaining charging interval, the change in battery temperature in this remaining charging interval can be quickly estimated, and thus the battery temperature in the next remaining charging interval can be quickly estimated. The solution is simple and reliable to implement, with low computational overhead, and is conducive to being adopted on various charging devices.

[0010] In some embodiments, the thermal prediction model is: C×m×dT / dt = dQ / dt - h×s×(Tcell - Tenv) / dt; where C is the specific heat capacity of the battery, m is the mass of the battery, h is a preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generated by the battery cell, t is time, dT / dt is the change in battery temperature per unit time, and dQ / dt is the heat generation power.

[0011] In the above technical solution, the thermal prediction model conforms to the principle of heat transfer and has high temperature prediction accuracy, which can make the accuracy of the estimated remaining charging time higher during the application of the solution.

[0012] In some embodiments, before estimating the battery temperature corresponding to each remaining charging interval according to the thermal prediction model, the method further includes: determining the current thermal management working condition; and determining the thermal prediction model adapted to the thermal management working condition according to the thermal management working condition.

[0013] In the above technical solution, considering that there are certain differences in the heat absorption of the battery under different thermal management conditions, which will lead to different trends in the battery temperature change under different thermal management conditions, by determining corresponding thermal prediction models for different thermal management conditions, when estimating the remaining charging time, the appropriate thermal prediction model can be determined according to the current thermal management condition, so that during the application of the solution, the accuracy of the estimated remaining charging time is higher.

[0014] In some embodiments, determining the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval includes: determining the charging rates corresponding to the battery temperatures of each remaining charging interval respectively according to the preset correspondence between the battery temperature and the charging rate.

[0015] In the above technical solution, by presetting the correspondence between the battery temperature and the charging rate, the charging rate can be quickly found through this correspondence, and the implementation method is simple and reliable, with low computing overhead, which is conducive to being adopted on various charging devices.

[0016] In some embodiments, determining the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval includes: obtaining the total battery capacity; for each remaining charging interval: determining the remaining charging time of the remaining charging interval according to the charging target battery capacity and the proportion of the uncharged interval in this remaining charging interval; where the proportion of the uncharged interval is the ratio of the battery capacity of the uncharged interval in this remaining charging interval to the total battery capacity.

[0017] Through the above technical solution, the remaining charging time of the remaining charging interval can be quickly determined according to the charging target battery capacity and the proportion of the uncharged interval in this remaining charging interval. Due to considering the temperature influence, the estimated remaining charging time is more accurate.

[0018] In some embodiments, after determining the remaining charging time of each remaining charging interval, the method further includes: calculating the sum of the remaining charging times of each remaining charging interval to obtain the total remaining charging time.

[0019] In the above technical solution, a total remaining charging time can be obtained, so that when it needs to be displayed, the remaining charging time can be displayed more intuitively, and the display effect is better. In addition, the above method is simple and reliable to implement, with small computing overhead during the application process, which is conducive to being adopted on various charging devices.

[0020] In some embodiments, the remaining charging interval is the interval within each charging interval that has not been charged; the charging interval is an SOC interval equally divided according to the initial SOC (State of Charge) and the target SOC; wherein the initial SOC is 0.

[0021] In the above technical solution, by equally dividing the SOC interval according to the initial SOC and the target SOC, the rapid division of each charging interval can be achieved. And because it is equally divided, for the remaining charging intervals that have not been charged, the proportion of the uncharged interval is the same. Thus, it is also beneficial to estimate the remaining charging time for each remaining charging interval, saving the computing overhead.

[0022] In some embodiments, the remaining charging interval is an SOC interval equally divided according to the current SOC and the target SOC.

[0023] In the above technical solution, the remaining charging intervals are equally divided according to the current SOC and the target SOC. Thus, for each remaining charging interval, the proportion of the uncharged interval is the same, which is beneficial to estimating the remaining charging time for each remaining charging interval and saving the computing overhead.

[0024] In a second aspect, the embodiments of the present application further provide a device for estimating the remaining charging time, including: a temperature estimation module, a charging rate determination module, and a remaining charging time estimation module; the temperature estimation module is configured to estimate the battery temperature corresponding to each remaining charging interval according to a thermal estimation model; the charging rate determination module is configured to determine the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval; the remaining charging time estimation module is configured to determine the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval.

[0025] In some embodiments, the temperature estimation module is specifically configured to, for each remaining charging interval: estimate the battery temperature change amount within the remaining charging interval according to the thermal estimation model; determine the battery temperature of the next remaining charging interval according to the battery temperature of the remaining charging interval and the battery temperature change amount within the remaining charging interval.

[0026] In some embodiments, the temperature estimation module is specifically configured to estimate the unit time temperature change amount within the remaining charging interval according to the thermal estimation model; determine the battery temperature change amount within the remaining charging interval according to the remaining charging time of the remaining charging interval and the unit time temperature change amount.

[0027] In some embodiments, the thermal prediction model is: C×m×dT / dt = dQ / dt - h×s×(Tcell - Tenv) / dt; where C is the specific heat capacity of the battery, m is the mass of the battery, h is a preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generation of the battery cell, t is time, dT / dt is the change in battery temperature per unit time, and dQ / dt is the heat generation power.

[0028] In some embodiments, the temperature prediction module is further configured to, before predicting the battery temperature corresponding to each remaining charging interval according to the thermal prediction model, determine the current thermal management working condition, and determine the thermal prediction model adapted to the thermal management working condition according to the thermal management working condition.

[0029] In some embodiments, the charging rate determination module is specifically configured to determine the charging rates corresponding to the battery temperatures in each remaining charging interval respectively according to a preset correspondence between the battery temperature and the charging rate.

[0030] In some embodiments, the remaining charging time prediction module is specifically configured to obtain the total battery capacity, and for each remaining charging interval: determine the remaining charging time of the remaining charging interval according to the charging target battery capacity and the ratio of the uncharged interval in the remaining charging interval to the total battery capacity; where the ratio of the uncharged interval is the ratio of the battery capacity of the uncharged interval in the remaining charging interval to the total battery capacity.

[0031] In some embodiments, the remaining charging time prediction module is further configured to, after determining the remaining charging times of each remaining charging interval, calculate the sum of the remaining charging times of each remaining charging interval to obtain the total remaining charging time.

[0032] In some embodiments, the remaining charging interval is an interval that has not been charged in each charging interval; the charging interval is: an SOC interval equally divided according to the initial SOC and the target SOC; where the initial SOC is 0.

[0033] In some embodiments, the remaining charging interval is: an SOC interval equally divided according to the current SOC and the target SOC.

[0034] In a third aspect, an embodiment of the present application further provides a battery management system, which has a processor therein, and the processor is configured to execute any one of the above remaining charging time prediction methods.

[0035] In a fourth aspect, an embodiment of the present application further provides an electrical device, which is provided with a battery and the above battery management system therein; the battery management system is electrically connected to the battery.

[0036] In a fifth aspect, an embodiment of the present application further provides a computer-readable storage medium storing one or more programs, which can be executed by one or more processors to implement any of the above charging remaining time estimation methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other relevant drawings can also be obtained based on these drawings.

[0038] Figure 1 It is a schematic flowchart of a charging remaining time estimation method provided by an embodiment of the present application;

[0039] Figure 2 It is a schematic diagram of a vehicle structure provided by an embodiment of the present application;

[0040] Figure 3 It is a schematic diagram of a specific charging remaining time estimation process provided by an embodiment of the present application;

[0041] Figure 4 It is a schematic diagram of the structure of a charging remaining time estimation device provided by an embodiment of the present application;

[0042] Figure 5 It is a schematic diagram of the structure of a BMS provided by an embodiment of the present application;

[0043] Figure 6 It is a schematic diagram of the structure of an electrical device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following will describe in detail the embodiments of the technical solutions of the present application with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application and are only examples, and thus cannot be used to limit the protection scope of the present application.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0046] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity, specific order, or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality" is more than two, unless otherwise specifically defined.

[0047] Reference to "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0048] In the description of the embodiments of the present application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0049] In the description of the embodiments of the present application, the term "a plurality" refers to more than two (including two).

[0050] Currently, from the perspective of the development of the market situation, the application of power batteries is becoming more and more extensive. Power batteries are not only applied to energy storage power systems such as hydropower, thermal power, wind power, and solar power plants, but also widely applied to the field of electric transportation such as electric bicycles, electric motorcycles, and electric vehicles.

[0051] In the field of electric transportation, the inventor noticed that with the rapid popularization of new energy electric vehicles, the charging duration has become one of the main concerns of many electric vehicle owners during daily use. In particular, the estimation of the remaining charging time is a very concerned factor for electric vehicle owners when they perform temporary fast charging during daily travel. Accurately predicting the time required for this fast charging process through software algorithms can provide an accurate time basis for electric vehicle owners to reasonably arrange their vehicle use time and work and life time.

[0052] The basic formula for calculating the remaining charging time is as follows: The remaining charging time = the remaining capacity / the charging current value to calculate the remaining charging time.

[0053] According to the above calculation formula, the remaining fast charging time during this charging process can be roughly calculated. However, this calculation method will result in a large error between the calculated remaining charging time and the actual charging time. A main reason for the large error in this calculation formula is that the charging current value used in the remaining charging time calculation formula introduces a large error.

[0054] The inventor further noticed that when an electric vehicle is fast charging, the charging conditions are relatively complex, such as when charging in a low-temperature environment (winter) or in a high-temperature environment (summer). Due to the different charging capabilities of the battery cells at different temperatures, for example, when the battery cells start charging from a low temperature, the charging capability of the battery cells at low temperature is relatively small. However, during the charging process, factors such as the activation of thermal management or the self-heating of the battery cells will cause the temperature to gradually rise. By the end of the charging, the temperature of the battery cells may have risen to the normal temperature state. And at normal temperature, the charging capability of the battery cells is relatively large. Therefore, when the battery cells start charging at a low temperature, the entire charging process is actually in a state of charging while heating. In order to accurately estimate the time required for this charging at the beginning of charging, it is necessary to accurately estimate the battery temperature in each remaining charging interval of this charging process at the moment when charging just starts.

[0055] Based on the above considerations, in order to solve the problem of inaccurate estimation of the remaining charging time in the existing estimation method, the inventor conducted in-depth research and designed a method for estimating the remaining charging time. Through a thermal estimation model, the battery temperature corresponding to each remaining charging interval is estimated, so that the battery temperature is coupled into the calculation process of the remaining charging time, thereby taking into account the influence of temperature on the remaining charging time, making the accuracy of the estimated remaining charging time higher and the driving experience of electric vehicle owners better.

[0056] According to some embodiments of the present application, please refer to Figure 1 as shown Figure 1 FIG. shows a schematic flowchart of the basic process of the method for estimating the remaining charging time provided by the embodiments of the present application, including:

[0057] S101: Estimate the battery temperature corresponding to each remaining charging interval according to the thermal estimation model.

[0058] It should be noted that in the embodiments of the present application, the remaining charging interval refers to the SOC interval that has not been charged yet.

[0059] SOC, that is, the state of charge, refers to the ratio of the remaining capacity of the battery after being used for a period of time or being left unused for a long time to its fully charged state capacity, usually expressed as a percentage. Its value range is 0 to 1. When SOC = 0, it means the battery is fully discharged, and when SOC = 1, it means the battery is fully charged.

[0060] In the embodiments of the present application, the acquisition of the remaining charging interval can be achieved by at least the following two methods:

[0061] Method 1: Multiple SOC intervals can be pre-divided as charging intervals according to the initial SOC (the initial SOC can be set to 0 or the remaining SOC value of the battery during charging) and the target SOC (the target SOC can be set by the user during charging or can be set to the default value 1).

[0062] Exemplarily, multiple charging intervals can be equally spaced according to the initial SOC and the target SOC at a preset division interval. For example, the interval with an SOC value from 0 to 1 can be equally divided into 50 charging intervals at an interval of 2%. It should be understood that in actual applications, non-uniform division can also be performed, and the specific division method of the charging intervals is not limited in the embodiments of the present application.

[0063] During charging, the value of the SOC will increase from small to large, so there may be situations where some charging intervals are fully charged, some charging intervals have not started charging at all, and some charging intervals have been charged partially but not fully. For the fully charged charging intervals, there is no remaining charging interval. For the charging intervals that have not started charging at all, the entire charging interval constitutes the uncharged interval. For the charging intervals that have been charged partially but not fully, the remaining charging interval is equal to the interval from the current SOC value of the current battery (hereinafter referred to as the current SOC) to the upper limit value of this charging interval. For example, for the charging interval from 10% to 12%, assuming the current SOC is 11%, the corresponding remaining charging interval for this charging interval is the interval from 11% to 12%.

[0064] Method 2: During the charging process, the remaining charging interval can also be continuously divided according to the current SOC and the target SOC.

[0065] Similarly, multiple remaining charging intervals can be equally spaced according to the current SOC and the target SOC at a preset division interval. For example, assuming the current SOC is 10%, the interval with an SOC value from 10% to 100% can be equally divided into 45 remaining charging intervals at an interval of 2%. It should be understood that in actual applications, non-uniform division can also be performed, and the specific division method of the remaining charging intervals is not limited in the embodiments of the present application.

[0066] In the embodiments of the present application, the thermal prediction model is a pre-constructed model that can predict the battery temperature corresponding to each remaining charging interval. The thermal prediction model can be established in advance according to the principles of heat transfer, such as heat transfer formulas. In addition, the thermal prediction model can also be established in advance based on the historical charging temperature data of the vehicle, such as the established corresponding relationships between ambient temperature, charging interval, thermal management conditions, and battery temperature, etc.

[0067] In the embodiments of the present application, the constructed thermal prediction model can be a model used to directly predict the battery temperature corresponding to each remaining charging interval. For example, it can be the established corresponding relationships between ambient temperature, charging interval, thermal management conditions, and battery temperature. In this way, for the above-mentioned first method, the thermal prediction model can be used to directly predict the battery temperature corresponding to each charging interval, and the battery temperature corresponding to each charging interval can be used as the battery temperature of the remaining charging interval corresponding to this charging interval. For the above-mentioned second method, the thermal prediction model can be used to directly predict the battery temperature corresponding to each remaining charging interval.

[0068] Considering that in the actual charging process, the remaining charging intervals are charged in ascending order of the intervals. Therefore, in the embodiments of the present application, for each remaining charging interval, it is also possible to first predict the change in battery temperature within this remaining charging interval according to the thermal prediction model, and then determine the battery temperature of the next remaining charging interval of this remaining charging interval based on the battery temperature of this remaining charging interval and the change in battery temperature within this remaining charging interval. In this way, the prediction of the battery temperature for all remaining charging intervals can be realized.

[0069] Among them, the battery temperature of the first remaining charging interval is the current battery temperature, which can be obtained by collecting through devices such as temperature sensors arranged on or around the battery.

[0070] For the embodiment described above, in an alternative embodiment, the constructed thermal prediction model can also be a model for predicting the battery temperature change corresponding to each remaining charging interval. For example, it can be a pre-established correspondence between ambient temperature, charging interval, thermal management condition, and battery temperature change. In this way, for the first method described above, the thermal prediction model can be used to directly predict the battery temperature change corresponding to each charging interval. Based on the battery temperature corresponding to each charging interval, adding the battery temperature change of this charging interval, the battery temperature of the next charging interval can be obtained, and the battery temperature of each charging interval is used as the battery temperature of the corresponding remaining charging interval of each charging interval. For the second method described above, the thermal prediction model can be used to directly predict the battery temperature change corresponding to each remaining charging interval. Based on the battery temperature corresponding to each remaining charging interval, adding the battery temperature change of this remaining charging interval, the battery temperature of the next remaining charging interval can be obtained.

[0071] In addition, in another alternative embodiment, the constructed thermal prediction model can also be a model for predicting the temperature change per unit time corresponding to each remaining charging interval. Thus, according to this thermal prediction model, the temperature change per unit time within each remaining charging interval can be predicted, and then based on the remaining charging time and the temperature change per unit time of each remaining charging interval, the battery temperature change within each remaining charging interval can be determined. The determination of the remaining charging time for each remaining charging interval can be referred to the description later.

[0072] Exemplarily, for the above alternative embodiment, the thermal prediction model can be implemented using heat transfer formulas. For example, the thermal prediction model can be: C×m×dT / dt=dQ / dt - h×s×(Tcell - Tenv) / dt. Where C is the specific heat capacity of the battery, m is the mass of the battery, h is the preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generation of the battery cell, t is time, dT / dt is the battery temperature change per unit time, and dQ / dt is the heat generation power.

[0073] It should be understood that in actual application, the specific heat capacity of the battery, the mass of the battery, the current heat transfer coefficient, the heat transfer surface area of the battery, etc. can be pre-measured and written into the device. The heat generation of the battery cell (the battery cell is the component in the battery where electrochemical reactions occur) can be calculated based on the heat energy collected by each heat collection device (such as temperature sensors) set for the battery cell within the whole machine (the whole machine refers to the overall device equipped with this battery, such as electric vehicles, drones, etc.). The heat generation of the battery cell includes Joule heat, polarization heat, reaction heat, side reaction heat, and mechanical connection heat, etc. The ambient temperature can be collected by temperature sensors set outside and / or inside the whole machine, or by temperature sensors set within the space where the battery is located.

[0074] Among them, the current heat transfer coefficient h and the heat transfer surface area S of the battery can be determined by combining the actual vehicle test data offline and the data obtained from online simulation, but this is not a limitation.

[0075] In this way, through the above thermal prediction model, the change amount of the battery temperature per unit time dT / dt can be predicted.

[0076] It should be understood that when using the above thermal prediction model to predict the change amount of the battery temperature per unit time in each remaining charging interval: for the solution described in the above method one, this thermal prediction model can be used to predict the change amount of the battery temperature per unit time corresponding to each charging interval, and use the change amount of the battery temperature per unit time corresponding to each charging interval as the change amount of the battery temperature per unit time in the remaining charging interval corresponding to each charging interval, and then predict the battery temperature in each remaining charging interval. For the solution described in the above method two, this thermal prediction model can be used to directly predict the change amount of the battery temperature per unit time corresponding to each remaining charging interval, and then predict the battery temperature in each remaining charging interval.

[0077] It should be noted that in the actual application process, there are certain differences in the heat reception of the battery under different thermal management conditions, which will lead to different trends in the battery temperature change under different thermal management conditions. For example, when the device is charging in a low-temperature environment, the thermal management condition will adopt a heating condition, that is, in the early stage of charging, part of the electric energy during the charging process will be used to heat the battery; for another example, when the device is charging in a high-temperature environment, the thermal management condition will adopt a refrigeration condition, that is, in the early stage of charging, part of the electric energy during the charging process will be used to cool the battery; for another example, when the device is charging in a suitable temperature environment, the thermal management condition will adopt a normal condition, that is, during the charging process, the battery will neither be heated nor cooled.

[0078] Considering that the trends of battery temperature change under different thermal management conditions are different, in order to improve the accuracy of predicting the remaining charging time, in an optional implementation manner of the embodiment of the present application, a corresponding and adapted thermal prediction model can be set in advance for each thermal management condition, so that before predicting the remaining charging time, that is, before executing step S101, the current thermal management condition can be determined first, and then according to this thermal management condition, the thermal prediction model adapted to this thermal management condition can be determined.

[0079] Taking the example of the thermal prediction model described above, which is C×m×dT / dt=dQ / dt - h×s×(Tcell - Tenv) / dt, in the embodiments of the present application, the current heat transfer coefficient h values corresponding to different thermal management conditions can be pre-tested, so that for different thermal management conditions, there are different thermal prediction models.

[0080] S102: Determine the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval.

[0081] In the embodiments of the present application, the correspondence between the battery temperature and the charging rate can be preset, and then according to the preset correspondence between the battery temperature and the charging rate, the charging rates corresponding to the battery temperatures of each remaining charging interval can be determined respectively.

[0082] It should be understood that in the embodiments of the present application, the engineer can obtain the correspondence between the battery temperature and the charging rate by actually testing the charging rates of a large number of the same type of electrical equipment at different battery temperatures and performing statistics.

[0083] S103: Determine the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval.

[0084] In the embodiments of the present application, when calculating the remaining charging time of each remaining charging interval, the total battery capacity can be obtained first, and then for each remaining charging interval: the remaining charging time of the remaining charging interval can be determined according to the charging target battery capacity and the proportion of the uncharged interval in the remaining charging interval. Wherein, the proportion of the uncharged interval is the ratio of the battery capacity of the uncharged interval in the remaining charging interval to the total battery capacity.

[0085] Exemplarily, for the remaining charging time of each remaining charging interval, it can be calculated according to the formula: remaining charging time = k×charging target battery capacity / (charging rate×charging target battery capacity), where k is the proportion of the uncharged interval.

[0086] It should be noted that in the embodiments of the present application, the proportion of the uncharged interval can be calculated through the upper and lower limit values of the SOC interval. For example, assuming a remaining charging interval is an interval with an SOC value of [11%, 12%] (that is, the SOC is from 11% to 12%), then the k value is equal to 12% - 11% = 1%.

[0087] Exemplarily, the charging target battery capacity can be set by the user during charging, representing the battery capacity that the user hopes to charge to. In addition, the charging target battery capacity may not be set by the user, but a default value is adopted. Usually, the default value can be set to the total battery capacity.

[0088] It should be understood that in an alternative embodiment of the embodiments of the present application, after determining the remaining charging time of each remaining charging interval, the remaining charging time of each remaining charging interval can be directly fed back to the user.

[0089] However, in order to enable the user to more intuitively understand the total remaining charging time, in the embodiments of the present application, after performing step S103, the sum of the remaining charging times of each remaining charging interval can also be calculated to obtain the total remaining charging time.

[0090] In this way, when feeding back the remaining charging time to the user, the total remaining charging time can be fed back.

[0091] It should be noted that in the embodiments of the present application, the feedback methods for the remaining charging time may include but are not limited to the following methods:

[0092] Display the remaining charging time on the display device of the electrical device;

[0093] Send the remaining charging time to a charging device (such as a charging pile or other charging devices) for display;

[0094] Upload the remaining charging time to the application program bound by the user, so that the user can log in to the application program through devices such as mobile phones and tablets to view it.

[0095] It should be understood that the above feedback methods can be adopted simultaneously, and there is no limitation in the embodiments of the present application.

[0096] It should be noted that the remaining charging time estimation method provided in the embodiments of the present application can be applied to various electrical devices. The various electrical devices can be but are not limited to mobile phones, tablets, laptop computers, electric toys, power tools, battery cars, electric vehicles, ships, spacecraft, etc. Among them, electric toys can include fixed or mobile electric toys, such as game consoles, electric vehicle toys, electric ship toys, and electric plane toys, etc., and spacecraft can include airplanes, rockets, space shuttles, and spaceships, etc.

[0097] To facilitate understanding of the solution provided in the embodiments of the present application, the following takes a scenario where an electrical device is a vehicle as an example to further illustrate the remaining charging time estimation method provided in the embodiments of the present application:

[0098] Please refer to Figure 2 , Figure 2Schematic diagram of the structure of vehicle 200 provided by some embodiments of the present application. Vehicle 200 can be a fuel vehicle, a gas vehicle, or a new energy vehicle. The new energy vehicle can be a pure electric vehicle, a hybrid vehicle, an extended-range vehicle, etc. A battery 210 is provided inside vehicle 200. The battery 210 can be arranged at the bottom, head, or tail of vehicle 200. The battery 210 can be used for power supply of vehicle 200. For example, the battery 210 can be used as the operating power source of vehicle 200. Vehicle 200 can also include a controller 220 and a motor 230. The controller 220 is used to control the battery 210 to supply power to the motor 230. For example, it is used for the working power requirements during the start, navigation, and driving of vehicle 200.

[0099] In some embodiments of the present application, the battery 210 can not only be used as the operating power source of vehicle 200, but also as the driving power source of vehicle 200, replacing or partially replacing fuel or natural gas to provide driving power for vehicle 200.

[0100] In the vehicle 200 in the above example, temperature sensors are also provided on the outside of vehicle 200 and on the battery 210 to detect the ambient temperature and the battery temperature.

[0101] When vehicle 200 is connected to a charging pile for charging, information interaction is completed between the charging pile and vehicle 200, and internal communication is completed between vehicle 200 and the battery management system in the vehicle. The battery management system calculates the remaining fast charging time. The calculation process can be seen Figure 3 as shown, including:

[0102] Step 1: Divide the SOC into n charging intervals according to the initial SOC and the target SOC.

[0103] Among them, the initial SOC is defaulted to 0, and the target SOC is defaulted to 1. Assuming that the division interval is 2%, the SOC can be equally spaced into 50 charging intervals.

[0104] Step 2: Determine the current remaining charging interval according to the current SOC and the divided charging intervals.

[0105] Exemplarily, assuming that the current SOC is 11%, and in Step 1, 50 charging intervals are equally spaced at 2%, then the current remaining charging interval can be determined as the interval [11%, 12%].

[0106] Step 3: According to the currently detected battery temperature and the preset corresponding relationship between the battery temperature and the charging rate, find out the charging rate corresponding to the current remaining charging interval.

[0107] Step 4: Calculate the remaining charging time of the current remaining charging interval according to the formula: remaining charging time = k × charging target battery capacity / (charging rate × charging target battery capacity).

[0108] Among them, the charging target battery capacity can be set to default to the total battery capacitance, and k is equal to the upper limit value of the current remaining charging interval minus the lower limit. For example, if the current remaining charging interval is [11%, 12%], then k is equal to 1%.

[0109] Step 5: Estimate the change in battery temperature per unit time in the current remaining charging interval according to the thermal prediction model.

[0110] The thermal prediction model is established according to the heat transfer formula: C×m×T / dt = dQ / dt - h×s×(Tcell - Tenv) / dt; where C is the specific heat capacity of the battery, m is the mass of the battery, h is the preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generation of the battery cell, t is time, dT / dt is the change in battery temperature per unit time, and dQ / dt is the heat generation power.

[0111] Step 6: Calculate the product of the change in battery temperature per unit time in the current remaining charging interval and the remaining charging time in the current remaining charging interval to obtain the change in battery temperature in the current remaining charging interval.

[0112] Step 7: Calculate the sum of the currently detected battery temperature and the change in battery temperature in the current remaining charging interval to obtain the battery temperature in the next remaining charging interval of the current remaining charging interval.

[0113] It should be understood that during the battery charging process, after one charging interval is fully charged, the next charging interval will be charged. Therefore, all charging intervals after the current remaining charging interval are remaining charging intervals. Still taking the current remaining charging interval as [10%, 12%] as an example, then the next remaining charging interval is [12%, 14%].

[0114] Step 8: According to the battery temperature in the next remaining charging interval and the preset corresponding relationship between battery temperature and charging rate, find out the corresponding charging rate in the next remaining charging interval.

[0115] Step 9: Calculate the remaining charging time in the next remaining charging interval according to the formula: remaining charging time = k×charging target battery capacity / (charging rate×charging target battery capacity).

[0116] Step 10: Estimate the change in battery temperature per unit time in the next remaining charging interval according to the thermal prediction model.

[0117] The calculation method is the same as that in Step 5, the difference is that the battery temperature substituted during the calculation is the battery temperature determined in Step 7.

[0118] Step 11: Calculate the product of the battery temperature variation per unit time of the next remaining charging interval and the remaining charging time of the next remaining charging interval to obtain the battery temperature variation of the next remaining charging interval.

[0119] Step 12: Calculate the sum of the battery temperature of the next remaining charging interval and the battery temperature change of the next remaining charging interval to obtain the battery temperature of the next remaining charging interval after the next remaining charging interval.

[0120] Go to step 8 until all remaining charging intervals are calculated.

[0121] After that, the sum of the remaining charging time of each remaining charging interval is calculated to obtain the total remaining charging time. The total remaining charging time is displayed on the vehicle dashboard, or the total remaining charging time is displayed on the charging pile, or the total remaining charging time is sent to the client terminal APP for display.

[0122] Based on the same inventive concept, the present application also provides a charging remaining time estimation device 400. Figure 4 As shown, Figure 4 Shows the use of Figure 1 The charging remaining time estimation device of the method shown. It should be understood that the specific functions of the device 400 can be referred to the description above, and the detailed description is appropriately omitted here to avoid repetition. The device 400 includes at least one software function module that can be stored in a memory in the form of software or firmware or fixed in the operating system of the device 400.

[0123] Specifically:

[0124] See also Figure 4 As shown, the device 400 includes: a temperature estimation module 401, a charging rate determination module 402 and a charging remaining time estimation module 403. Among them:

[0125] The temperature estimation module 401 is used to estimate the battery temperature corresponding to each remaining charging interval according to the thermal estimation model;

[0126] The charging rate determination module 402 is used to determine the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval;

[0127] The remaining charging time estimation module 403 is used to determine the remaining charging time of each remaining charging interval according to the charging multiple corresponding to each remaining charging interval.

[0128] In the embodiment of the present application, the temperature prediction module 401 is specifically configured to, for each remaining charging interval: according to the thermal prediction model, predict the change in battery temperature within the remaining charging interval; according to the battery temperature in the remaining charging interval and the change in battery temperature within the remaining charging interval, determine the battery temperature in the next remaining charging interval.

[0129] In the embodiment of the present application, the temperature prediction module 401 is specifically configured to, according to the thermal prediction model, predict the temperature change per unit time within the remaining charging interval; according to the remaining charging time in the remaining charging interval and the temperature change per unit time, determine the change in battery temperature within the remaining charging interval.

[0130] In the embodiment of the present application, the thermal prediction model is: C×m×dT / dt=dQ / dt - h×s×(Tcell - Tenv) / dt; where C is the specific heat capacity of the battery, m is the mass of the battery, h is the preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generation of the battery cell, t is time, dT / dt is the change in battery temperature per unit time, and dQ / dt is the heat generation power.

[0131] In the embodiment of the present application, the temperature prediction module 401 is further configured to, before predicting the battery temperature corresponding to each remaining charging interval according to the thermal prediction model, determine the current thermal management working condition, and according to the thermal management working condition, determine the thermal prediction model adapted to the thermal management working condition.

[0132] In the embodiment of the present application, the charging rate determination module 402 is specifically configured to, according to the preset correspondence between battery temperature and charging rate, respectively determine the charging rates corresponding to the battery temperatures in each remaining charging interval.

[0133] In the embodiment of the present application, the remaining charging time prediction module 403 is specifically configured to obtain the total battery capacity, and for each remaining charging interval: according to the charging target battery capacity and the proportion of the uncharged interval in the remaining charging interval, determine the remaining charging time of the remaining charging interval; where the proportion of the uncharged interval is the ratio of the battery capacity of the uncharged interval in the remaining charging interval to the total battery capacity.

[0134] In the embodiment of the present application, the remaining charging time prediction module 403 is further configured to, after determining the remaining charging times of each remaining charging interval, calculate the sum of the remaining charging times of each remaining charging interval to obtain the total remaining charging time.

[0135] In the embodiment of the present application, the remaining charging interval is the interval within each charging interval that has not been charged; the charging interval is: an SOC interval equally divided according to the initial SOC and the target SOC; wherein, the initial SOC is 0.

[0136] In the embodiment of the present application, the remaining charging interval is: an SOC interval equally divided according to the current SOC and the target SOC.

[0137] It should be understood that, for the sake of concise description, some content described in the previous method part will not be repeated in the device part.

[0138] In the embodiment of the present application, a battery management system, namely BMS, is also provided. As Figure 5 shown, the battery management system may have a processor therein, and the processor is used to execute the above-mentioned charging remaining time estimation method.

[0139] It should be understood that Figure 5 the structure shown is only schematic, and the BMS may further include more components than those shown in Figure 5 it, for example, it may also have a connection interface that is electrically connected to the battery, etc.

[0140] It should also be understood that the above-mentioned processor may be an MCU (Microcontroller Unit) set in the BMS, a single-chip microcomputer, a CPU (central processing unit) chip, etc.

[0141] In the embodiment of the present application, an electrical device is also provided. For example, referring to Figure 6 shown, the electrical device is provided with a battery and the above-mentioned battery management system therein. The battery management system is electrically connected to the battery.

[0142] As described above, the electrical devices provided in the embodiment of the present application may be devices such as mobile phones, tablets, laptop computers, electric toys, electric tools, battery cars, electric vehicles, ships, spacecrafts, etc., which will not be repeated here.

[0143] In the embodiment of the present application, a computer-readable storage medium is also provided, such as a floppy disk, an optical disc, a hard disk, a flash memory, a USB flash drive, an SD (Secure Digital Memory Card) card, an MMC (Multimedia Card) card, etc. One or more programs for implementing the above-mentioned respective steps are stored in the computer-readable storage medium, and these one or more programs can be executed by one or more processors to implement the above-mentioned charging remaining time estimation method. This will not be repeated here.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than limiting them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be covered within the scope of the claims and the description of the present application. In particular, as long as there is no conflict in structure or steps, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A method for estimating the remaining charging time, characterized in that including: estimating the battery temperature corresponding to each remaining charging interval according to a thermal prediction model; determining the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval; determining the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval; The estimating the battery temperature corresponding to each remaining charging interval according to the thermal prediction model includes: for each remaining charging interval: estimating the battery temperature change amount within the remaining charging interval according to the thermal prediction model; determining the battery temperature of the next remaining charging interval according to the battery temperature of the remaining charging interval and the battery temperature change amount within the remaining charging interval.

2. The charging remaining time prediction method according to claim 1, wherein The estimating the battery temperature change amount within the current remaining charging interval according to the thermal prediction model includes: estimating the temperature change amount per unit time within the remaining charging interval according to the thermal prediction model; determining the battery temperature change amount within the remaining charging interval according to the remaining charging time of the remaining charging interval and the temperature change amount per unit time.

3. The method for estimating the remaining charging time according to claim 2, wherein the thermal prediction model is: C×m×dT / dt=dQ / dt - h×s×(Tcell - Tenv) / dt; wherein, C is the specific heat capacity of the battery, m is the mass of the battery, h is a preset current heat transfer coefficient, S is the heat transfer surface area of the battery, Tcell is the battery temperature, Tenv is the ambient temperature, Q is the heat generation amount of the battery cell, t is time, dT / dt is the battery temperature change amount per unit time, and dQ / dt is the heat generation power.

4. The method for estimating the remaining charging time according to any one of claims 1-2, characterized in that, Before estimating the battery temperature corresponding to each remaining charging interval according to the thermal prediction model, the method further includes: determining the current thermal management working condition; determining the thermal prediction model adapted to the thermal management working condition according to the thermal management working condition.

5. The method for estimating the remaining charging time according to any one of claims 1 to 3, characterized in that, The determining the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval includes: respectively determining the charging rates corresponding to the battery temperatures of each remaining charging interval according to the preset corresponding relationship between the battery temperature and the charging rate.

6. The method for estimating the remaining charging time according to any one of claims 1 to 3, characterized in that The determining the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval includes: obtaining the total battery capacity; for each remaining charging interval: determining the remaining charging time of the remaining charging interval according to the charging target battery capacity and the proportion of the uncharged interval within the remaining charging interval; wherein, the proportion of the uncharged interval is the ratio of the battery capacity of the uncharged interval within the remaining charging interval to the total battery capacity.

7. The method for estimating the remaining charging time according to any one of claims 1 to 3, characterized in that After determining the remaining charging time of each remaining charging interval, the method further includes: calculating the sum of the remaining charging times of each remaining charging interval to obtain the total remaining charging time.

8. The method for estimating the remaining charging time according to any one of claims 1-3, characterized in that The remaining charging interval is the interval that has not been charged within each charging interval; the charging interval is: the SOC interval equally divided according to the initial SOC and the target SOC; wherein, the initial SOC is 0.

9. The method for estimating the remaining charging time according to any one of claims 1-3, characterized in that The remaining charging interval is: the SOC interval equally divided according to the current SOC and the target SOC.

10. A remaining charging time estimation device, characterized in that, including: A temperature prediction module, a charging rate determination module, and a remaining charging time prediction module; The temperature prediction module is configured to predict the battery temperature corresponding to each remaining charging interval according to a thermal prediction model; The charging rate determination module is configured to determine the charging rate corresponding to each remaining charging interval according to the battery temperature corresponding to each remaining charging interval; The remaining charging time prediction module is configured to determine the remaining charging time of each remaining charging interval according to the charging rate corresponding to each remaining charging interval; The predicting the battery temperature corresponding to each remaining charging interval according to the thermal prediction model includes: For each remaining charging interval: Predicting the change in battery temperature within the remaining charging interval according to the thermal prediction model; Determining the battery temperature of the next remaining charging interval according to the battery temperature of the remaining charging interval and the change in battery temperature within the remaining charging interval.

11. A battery management system, characterized in that, The battery management system has a processor, and the processor is configured to execute the remaining charging time prediction method according to any one of claims 1-9.

12. An electrical device, characterized in that, The electrical device is provided with a battery and the battery management system according to claim 11; the battery management system is electrically connected to the battery.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the remaining charging time prediction method according to any one of claims 1-9.

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