Method, device and computer storage medium for estimating remaining charging time

Abstract

A method, device and computer storage medium for estimating the remaining charging time, the method comprising: obtaining the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery; obtaining the maximum allowable charging current of the battery at the current moment according to the real state parameters and the battery charging spectrum, and obtaining the effective charging current of the battery at the current moment according to the maximum allowable charging current and the output capacity at the current moment; obtaining the estimated state parameters of the battery at subsequent moments according to the effective charging current and the real state parameters at the current moment using a battery thermal simulation model; if it is determined that the estimated state parameters at the target moment represent that the battery has been fully charged, then obtaining the remaining charging time according to the current moment and the target moment. The present invention can accurately estimate the effective charging current of the battery and the state parameters of the battery, and thus can accurately estimate the remaining charging time.

Description

Technical Field

[0001] The present invention relates to the technical field of battery management, and more specifically, to a method, device and computer storage medium for estimating remaining charging time. Background Art

[0002] When charging the power battery of an electric vehicle, users need to know the remaining charging time required. At present, the remaining charging time of the power battery is generally estimated by dividing the remaining charging capacity by the charging current. As the power battery life decays, the cumulative error of this estimation method gradually increases, making the estimation of the remaining charging time inaccurate, affecting users' travel. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In view of the shortcomings of the prior art, a first aspect of an embodiment of the present invention provides a method for estimating the remaining charging time, comprising:

[0005] Obtaining the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery;

[0006] Obtaining a maximum allowable charging current of the battery at the current moment according to the real state parameter and the battery charging map, and obtaining an effective charging current of the battery at the current moment according to the maximum allowable charging current and the output capacity at the current moment;

[0007] Obtaining estimated state parameters of the battery at a subsequent time using a battery thermal simulation model according to the effective charging current and the real state parameters at the current time;

[0008] If it is determined that the estimated state parameter at the target time indicates that the battery has been fully charged, the remaining charging time is obtained according to the current time and the target time.

[0009] In one embodiment, obtaining the estimated state parameter of the battery at a subsequent time by using a battery thermal simulation model according to the effective charging current and the real state parameter includes:

[0010] Obtaining a first estimated state parameter at a first moment according to the effective charging current at a current moment and the real state parameter;

[0011] If the first estimated state parameter indicates that the battery has been fully charged, calculating the remaining charging time according to the first moment and the current moment;

[0012] If the first estimated state parameter indicates that the battery is not fully charged, a second estimated state parameter at a second moment is obtained using the battery thermal simulation model according to the first estimated state parameter.

[0013] In one embodiment, if the first estimated state parameter indicates that the battery is not fully charged, the method further includes:

[0014] Obtaining a maximum allowable charging current of the battery at the first moment according to the first estimated state parameter and the battery charging spectrum, and obtaining an effective charging current of the battery at the first moment according to the maximum allowable charging current and the output capacity at the first moment;

[0015] The thermal simulation model obtains the second estimated state parameter at the second moment according to the effective charging current at the first moment and the first estimated state parameter.

[0016] In one embodiment, the obtaining of the real state parameters of the battery at the current moment and the output capability of a charging device for charging the battery comprises: receiving the real state parameters and the output capability uploaded by a domain controller.

[0017] In one embodiment, after obtaining the remaining charging time, the method further includes: sending the remaining charging time to the domain controller.

[0018] In one embodiment, the real state parameter includes at least one of the following: temperature, voltage, current, resistance, state of charge, and state of health of the battery.

[0019] A second aspect of an embodiment of the present invention provides a method for estimating remaining charging time, the method comprising:

[0020] Acquire the real state parameters of the battery and the output capacity of the charging device for charging the battery, and upload the real state parameters and the output capacity to the cloud processor;

[0021] Obtaining the remaining charging time sent by the cloud processor and calculated according to the real state parameter and the output capacity;

[0022] Determine whether the real state parameter is updated. If the real state parameter is not updated, control the instrument panel to display the remaining charging time. If the real state parameter is updated, re-upload the updated real state parameter to the cloud processor to recalculate the remaining charging time.

[0023] A third aspect of an embodiment of the present invention provides a device for estimating the remaining charging time, the device comprising a memory and a processor, the memory storing a computer program executed by the processor, and the computer program, when executed by the processor, executes the method for estimating the remaining charging time described in the first aspect of the embodiment of the present invention.

[0024] A fourth aspect of an embodiment of the present invention provides a device for estimating the remaining charging time, the device comprising a memory and a processor, the memory storing a computer program executed by the processor, and the computer program, when executed by the processor, executes the method for estimating the remaining charging time described in the second aspect of the embodiment of the present invention.

[0025] A fifth aspect of an embodiment of the present invention provides a computer storage medium having a computer program stored thereon, and when the computer program is executed, the method for estimating the remaining charging time described in the first aspect of the embodiment of the present invention is implemented.

[0026] A sixth aspect of an embodiment of the present invention provides a computer storage medium having a computer program stored thereon, and when the computer program is executed, the method for estimating the remaining charging time described in the second aspect of the embodiment of the present invention is implemented.

[0027] The remaining charging time estimation method, device and computer storage medium of the embodiment of the present invention use a battery charging map to estimate the effective charging current of the battery according to the actual state parameters of the battery and the output capacity of the charging device. Since the output capacity of the charging device is taken into account, the effective charging current is more accurate; and use a battery thermal simulation model to estimate the state parameters of the battery according to the effective charging current. Since the estimated state parameters are estimated based on the actual state parameters, they are more accurate, thereby accurately estimating the remaining charging time. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The above and other purposes, features and advantages of the present invention will become more apparent by describing the embodiments of the present invention in more detail in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0029] Figure 1 is a schematic flow chart of a method for estimating remaining charging time according to an embodiment of the present invention;

[0030] Figure 2 A schematic diagram of a method for estimating the remaining charging time according to an embodiment of the present invention implemented based on a cloud processor;

[0031] Figure 3A schematic diagram of calculating the estimated state parameters of a battery at time t1 according to an embodiment of the present invention;

[0032] Figure 4 A schematic diagram of calculating the estimated state parameters of a battery at time t2 according to an embodiment of the present invention;

[0033] Figure 5 A schematic diagram of calculating the estimated state parameters of a battery at time tn+1 according to an embodiment of the present invention;

[0034] Figure 6 is a schematic flow chart of a method for estimating remaining charging time according to another embodiment of the present invention;

[0035] Figure 7 The figure is a schematic block diagram of a device for estimating remaining charging time according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present application more obvious, the example embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application described in the present application, all other embodiments obtained by those skilled in the art without creative work should fall within the scope of protection of the present application.

[0037] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present application. However, it is obvious to those skilled in the art that the present application can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present application, some technical features well known in the art are not described.

[0038] It should be understood that the present application can be implemented in different forms and should not be interpreted as being limited to the embodiments set forth herein. On the contrary, providing these embodiments will make the disclosure thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0039] The purpose of the terms used herein is only to describe specific embodiments and is not intended to be limiting of the present application. When used herein, the singular forms "one", "an" and "said / the" are also intended to include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "consisting of" and / or "comprising", when used in this specification, determine the presence of the features, integers, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0040] In order to thoroughly understand the present application, a detailed structure will be proposed in the following description to illustrate the technical solution proposed by the present application. The optional embodiments of the present application are described in detail as follows, but in addition to these detailed descriptions, the present application may also have other implementation methods.

[0041] In order to estimate the remaining charging time, some solutions take into account the impact of battery temperature rise on the remaining charging time. However, such solutions only use different temperature rise curves under different working conditions. The working conditions of electric vehicles during charging are very changeable and complex. The performance of the power battery is closely related to the temperature range it is in, especially under high and low temperature conditions. The battery performance output is very sensitive to temperature changes, and the temperature rise curve is difficult to cover all working conditions. In addition, since it is not considered that the output power of the external charging equipment is reduced due to its own performance limitations during the charging process, which will further affect the remaining charging time, the remaining charging time cannot be accurately calculated.

[0042] Based on this, the embodiment of the present invention proposes a solution for estimating the remaining charging time, which is applicable to various working conditions. The following describes the method, device and computer storage medium for estimating the remaining charging time proposed in the embodiment of the present invention with reference to the accompanying drawings. Figure 1 , Figure 1 FIG. 1 is a schematic flow chart of a method 100 for estimating the remaining charging time according to an embodiment of the present invention. Figure 1 As shown, the method 100 for estimating the remaining charging time according to the embodiment of the present invention includes the following steps:

[0043] In step S110, the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery are obtained;

[0044] In step S120, the maximum allowable charging current of the battery at the current moment is obtained according to the real state parameter and the battery charging map, and the effective charging current of the battery at the current moment is obtained according to the maximum allowable charging current at the current moment and the output capacity;

[0045] In step S130, based on the effective charging current and the real state parameter at the current moment, an estimated state parameter of the battery at a subsequent moment is obtained using a battery thermal simulation model;

[0046] In step S140, if it is determined that the estimated state parameter at the target time indicates that the battery has been fully charged, the remaining charging time is obtained according to the current time and the target time.

[0047] As an implementation method, the method 100 for estimating the remaining charging time according to the embodiment of the present invention is implemented in a cloud processor. Figure 2 The domain controller collects the battery status information and obtains the output capacity information of the charging device, and uploads it to the cloud processor after integration and processing. After receiving the signal, the cloud processor calculates the remaining charging time and sends the remaining charging time to the domain controller. The domain controller uploads it to the vehicle dashboard through the vehicle protocol to display the remaining charging time. In this way, part of the computing function is transplanted to the cloud processor, releasing the limited computing power resources of the local domain controller. Optionally, the remaining charging time estimation method 100 of the embodiment of the present invention can also be implemented locally in the domain controller to avoid affecting the update of the remaining charging time due to poor network status.

[0048] In step S110, the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery are obtained. The real state parameters of the battery include the basic temperature, voltage, current of the battery, and the SOC (state of charge), SOH (state of health), battery resistance, etc. obtained after calculation and processing by the domain controller. If the method is implemented in a cloud processor, the domain controller obtains the temperature, voltage, and current from the battery, calculates the SOC, SOH, and resistance, and obtains the output capacity of the charging device from the on-board charging device for charging the battery, and external charging devices such as fast charging devices. The output capacity of the charging device determines the upper limit of the battery charging current. Afterwards, the domain controller compares the rationality of these data, integrates and processes them, packages them into data packets, and uploads them to the cloud processor.

[0049] In step S120, first, the maximum allowable charging current of the battery at the current moment is obtained according to the real state parameters of the battery and the battery charging map. The battery charging map is provided by the battery manufacturer and is a current value map for safe charging within the design life of the battery. The battery charging map is related to the battery state parameters and is a multi-dimensional data table. By inputting the real state parameters of the battery into the battery charging map, the corresponding maximum allowable charging current can be obtained.

[0050] In the following text, the current time is recorded as t0; the actual state parameter of the battery at the current time is recorded as S(t0); the actual temperature of the battery is recorded as T(t0); and the output capacity of the charging device is recorded as Device Limit. Figure 3 After the actual state parameter S(t0) at time t0 is input into the battery charging map, the battery charging map calculates the maximum allowable charging current I(t0) of the battery according to S(t0).

[0051] Afterwards, the effective charging current Ip(t0) of the battery at the current moment is obtained according to the maximum allowable charging current I(t0) at the current moment and the output capacity DeviceLimit of the charging device. Specifically, the maximum allowable charging current I(t0) is firstly checked for rationality. After I(t0) passes the rationality check, I(t0) and the output capacity DeviceLimit of the charging device are compared, and the effective charging current Ip(t0) is output according to the comparison result. Exemplarily, the effective charging current Ip(t0) is the smaller value of I(t0) and Device Limit. The embodiment of the present invention obtains the effective charging current according to the maximum allowable charging current and the output capacity of the charging device, so that the effective charging current does not exceed the output capacity of the charging device and the maximum allowable charging current of the battery, and is therefore closer to the actual charging current.

[0052] Continue to refer to Figure 3 , after obtaining the effective charging current I(t0), I(t0) and the actual state parameter S(t0) of the battery are input into the battery thermal simulation model. The battery thermal simulation model is a simulation model obtained by combining the battery electrochemical model, the battery module thermal model and the thermal management strategy. It characterizes the change of battery temperature with the charging current and the battery state parameter. According to the battery thermal simulation model, a more accurate estimated state parameter can be obtained. The battery thermal simulation model calculates the first estimated state parameter S(t1) of the battery at the first moment (denoted as t1) based on Ip(t0), S(t0) and T(t0), which includes the first estimated temperature T(t1).

[0053] Afterwards, it is determined whether the first estimated state parameter S(t1) indicates that the battery has been fully charged. For example, it can be determined whether the battery has been fully charged based on whether the state of charge (SOC) in the battery estimated state parameter has reached 100%, or it can be determined whether the battery has been fully charged based on whether the temperature in the battery state parameter has reached a threshold temperature. If the battery estimated state parameter indicates that the battery has been fully charged at this time, the remaining charging time required from the current moment to the completion of battery charging is calculated based on t0 and t1, and sent to the domain controller. If the battery parameter at time t1 indicates that the battery has not been fully charged at time t1, the estimated state parameter S(t1) at time t1 is used as the input data for the second moment (denoted as t2), and is respectively transmitted to the battery thermal simulation model and the battery charging map for the next iterative calculation; the use of an iterative estimation method can reduce the estimation error.

[0054] See also Figure 4 When estimating the parameters at time t2, first, the maximum allowable charging current I(t1) of the battery at time t1 is obtained based on the first estimated state parameter S(t1) of the battery at time t1 and the battery charging map. The first estimated state parameter includes the first temperature T(t1). Then, the effective charging current Ip(t1) of the battery at the current moment is obtained based on the maximum allowable charging current I(t1) and the output capacity Device Limit of the charging device. After obtaining the effective charging current I(t1), I(t1) and S(t1) are input into the battery thermal simulation model. The battery thermal simulation model calculates the second estimated temperature T(t2) of the battery at time t2 based on Ip(t1) and S(t1), and calculates the second estimated state parameter S(t2) of the battery at time t2 based on Ip(t1) and S(t1), and determines whether the second estimated parameter indicates that the battery has been fully charged. If the second estimated parameter indicates that the battery has been fully charged, the remaining charging time is calculated based on t2 and t0, and so on.

[0055] See also Figure 5 , in the iterative calculation process, t n+1 The input data at time t n The estimated state parameter S(t n ) and effective charging current Ip(t n ), the output data is t n+1 The estimated state parameter S(t n+1 ) and effective charging current Ip(t n+1 ), where the estimated state parameter S(t n ) includes the estimated temperature T(t n ), estimate the state parameter S(t n+1 ) includes the estimated temperature T(t n+1 ). Get t n+1The estimated state parameter S(t n+1 ) and then judge S(t n+1 ) indicates that the battery has been fully charged; if S(t n+1 ) indicates that the battery has been fully charged, then according to t1 and t n+1 Calculate the remaining charging time and send it to the domain controller; if S(t n+1 ) indicates that the battery is not fully charged, then according to t n+1 The estimated state parameter S(t n+1 ) and effective charging current Ip(t n+1 ) is iterated again until the estimated state parameter of the battery at a certain moment indicates that the battery has been fully charged, then the remaining charging time is determined based on the moment, and the iterative operation is stopped.

[0056] Exemplarily, after the cloud processor obtains the remaining charging time, it packages and sends it to the domain processor. After receiving the remaining charging time, the domain controller determines whether the battery status parameters are updated. If the battery status parameters are not updated, the domain controller uploads the remaining charging time to the instrument display. If the battery parameters are updated, the remaining charging time needs to be recalculated using the updated battery parameters to ensure the accuracy of the remaining charging time. The calculation method of the remaining charging time is as described above.

[0057] The remaining charging time estimation method 100 of the embodiment of the present invention uses a battery charging map to estimate the effective charging current of the battery according to the actual state parameters of the battery and the output capacity of the charging device. Since the output capacity of the charging device is taken into consideration, the effective charging current is more accurate; and uses a battery thermal simulation model to estimate the state parameters of the battery according to the effective charging current. Since the estimated state parameters of the battery are estimated based on the actual state parameters of the battery, they are more accurate, thereby being able to accurately estimate the remaining charging time.

[0058] See below Figure 6 , Figure 6 FIG. 6 is a schematic flow chart of a method 600 for estimating the remaining charging time according to another embodiment of the present invention. The method 600 for estimating the remaining charging time may be implemented in a domain controller of a vehicle. Figure 6 As shown, the method 600 for estimating the remaining charging time according to the embodiment of the present invention includes the following steps:

[0059] In step S610, the real state parameters of the battery and the output capacity of the charging device for charging the battery are obtained, and the real state parameters and the output capacity are uploaded to the cloud processor;

[0060] In step S610, the remaining charging time calculated according to the real state parameter and the output capacity and sent by the cloud processor is obtained;

[0061] In step S610, it is determined whether the real status parameter is updated. If the real status parameter is not updated, the dashboard is controlled to display the remaining charging time. If the real status parameter is updated, the updated real status parameter is re-uploaded to the cloud processor to recalculate the remaining charging time.

[0062] The remaining charging time estimation method 600 of the embodiment of the present invention transplants part of the computing function to the cloud processor, which can release the limited local computing resources of the domain controller, and the cloud processor takes into account the output capacity of the charging device when estimating the remaining charging time, thereby improving the accuracy of the remaining charging time estimation. The specific method for estimating the remaining charging time by the cloud processor based on the remaining charging time and the actual state parameters of the battery can refer to the remaining charging time estimation method 100 described above, which will not be described in detail here.

[0063] The embodiment of the present invention further provides a device for estimating the remaining charging time, which can be used to implement the method 100 for estimating the remaining charging time described above. Figure 7 , Figure 7 A schematic block diagram of a device 700 for estimating the remaining charging time according to an embodiment of the present invention is shown. The device 700 for estimating the remaining charging time according to the embodiment of the present invention can be implemented as a cloud processor or a domain controller of a vehicle.

[0064] like Figure 7As shown, the charging remaining time estimation device 700 includes a memory 710, a processor 720, and a computer program stored in the memory 710 and running on the processor 720. When the processor 720 executes the computer program, the charging remaining time estimation method 100 as described above can be implemented. The processor 720 can be implemented by software, hardware, firmware, or a combination thereof, and can use a circuit, a single or multiple application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, so that the device can perform some steps or all steps of the charging remaining time estimation method 100 in various embodiments of the present application or any combination of the steps therein.

[0065] The embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the computer program is executed, the method 100 for estimating the remaining charging time according to the embodiment of the present invention can be implemented.

[0066] The device for estimating the remaining charging time and the computer storage medium according to the embodiment of the present invention are used to implement the method 100 for estimating the remaining charging time described above, and thus also have similar advantages.

[0067] The embodiment of the present invention further provides a device for estimating the remaining charging time, which can be used to implement the method 600 for estimating the remaining charging time described above. The device for estimating the remaining charging time can be implemented as a domain controller of a vehicle. Figure 7 The device 700 for estimating the remaining charging time includes a memory 710, a processor 720, and a computer program stored in the memory 710 and running on the processor 720. When the processor 720 executes the computer program, the method 600 for estimating the remaining charging time as described above can be implemented.

[0068] The embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the computer program is executed, the method 600 for estimating the remaining charging time of the embodiment of the present invention can be implemented.

[0069] The device for estimating the remaining charging time and the computer storage medium according to the embodiment of the present invention are used to implement the method 600 for estimating the remaining charging time described above, and thus also have similar advantages.

[0070] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present application thereto. Various changes and modifications may be made therein by one of ordinary skill in the art without departing from the scope and spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0071] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0073] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0074] Similarly, it should be understood that in order to streamline the present application and help understand one or more of the various inventive aspects, in the description of the exemplary embodiments of the present application, the various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the method of the present application should not be interpreted as reflecting the following intention: the claimed application requires more features than the features clearly stated in each claim. More specifically, as reflected in the corresponding claims, the inventive point is that the corresponding technical problem can be solved with features less than all the features of a single disclosed embodiment. Therefore, the claims following the specific embodiment are hereby explicitly incorporated into the specific embodiment, wherein each claim itself serves as a separate embodiment of the present application.

[0075] It will be understood by those skilled in the art that, except for mutually exclusive features, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this specification may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0076] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present application and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0077] The various component embodiments of the present application can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all functions of some modules according to the embodiments of the present application. The application can also be implemented as a device program (e.g., computer program and computer program product) for executing a part or all of the methods described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0078] It should be noted that the above embodiments illustrate rather than limit the present application, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets should not be constructed as a limitation to the claims. The present application may be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names.

[0079] The above is only a specific implementation method or an explanation of a specific implementation method of the present application, and the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. The protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for estimating remaining charging time, characterized in that: The method comprises: Obtaining the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery; Obtaining a maximum allowable charging current of the battery at the current moment according to the real state parameter and the battery charging map, and obtaining an effective charging current of the battery at the current moment according to the maximum allowable charging current and the output capacity at the current moment; According to the effective charging current and the real state parameter at the current moment, using a battery thermal simulation model to obtain an estimated state parameter of the battery at a subsequent moment; specifically including: according to the effective charging current and the real state parameter at the current moment, obtaining a first estimated state parameter at a first moment; if the first estimated state parameter indicates that the battery has been fully charged, calculating the remaining charging time according to the first moment and the current moment; if the first estimated state parameter indicates that the battery has not been fully charged, according to the first estimated state parameter, using the battery thermal simulation model to obtain a second estimated state parameter at a second moment; If it is determined that the estimated state parameter at the target time indicates that the battery has been fully charged, the remaining charging time is obtained according to the current time and the target time.

2. The method for estimating the remaining charging time according to claim 1, characterized in that: If the first estimated state parameter indicates that the battery is not fully charged, the method further includes: Obtaining a maximum allowable charging current of the battery at the first moment according to the first estimated state parameter and the battery charging spectrum, and obtaining an effective charging current of the battery at the first moment according to the maximum allowable charging current and the output capacity at the first moment; Based on the thermal simulation model, the second estimated state parameter at the second moment is obtained according to the effective charging current at the first moment and the first estimated state parameter.

3. The method for estimating the remaining charging time according to claim 1, characterized in that: The obtaining of the real state parameters of the battery at the current moment and the output capacity of the charging device for charging the battery includes: The real state parameter and the output capability uploaded by a domain controller are received.

4. The method for estimating the remaining charging time according to claim 3, characterized in that: After obtaining the remaining charging time, the method further includes: The remaining charging time is sent to the domain controller.

5. The method for estimating the remaining charging time according to claim 1, characterized in that: The real state parameter includes at least one of the following: temperature, voltage, current, resistance, state of charge, and health state of the battery.

6. A method for estimating remaining charging time, characterized in that: The method comprises: Acquire the real state parameters of the battery and the output capacity of the charging device for charging the battery, and upload the real state parameters and the output capacity to the cloud processor; The cloud processor calculates the remaining charging time, including: obtaining the maximum allowable charging current of the battery at the current moment according to the real state parameter and the battery charging map, and obtaining the effective charging current of the battery at the current moment according to the maximum allowable charging current and the output capacity at the current moment; obtaining a first estimated state parameter at a first moment according to the effective charging current and the real state parameter at the current moment; if the first estimated state parameter indicates that the battery has been fully charged, calculating the remaining charging time according to the first moment and the current moment; if the first estimated state parameter indicates that the battery has not been fully charged, obtaining a second estimated state parameter at a second moment according to the first estimated state parameter using a battery thermal simulation model; If it is determined that the estimated state parameter at the target time indicates that the battery has been fully charged, then the remaining charging time is obtained according to the current time and the target time; Obtaining the remaining charging time sent by the cloud processor and calculated according to the real state parameter and the output capacity; Determine whether the real state parameter is updated. If the real state parameter is not updated, control the instrument panel to display the remaining charging time. If the real state parameter is updated, re-upload the updated real state parameter to the cloud processor to recalculate the remaining charging time.

7. A device for estimating remaining charging time, characterized in that: The device comprises a memory and a processor, wherein a computer program executed by the processor is stored in the memory, and when the computer program is executed by the processor, the method for estimating the remaining charging time according to any one of claims 1 to 5 is executed.

8. A device for estimating remaining charging time, characterized in that: The device includes a memory and a processor, wherein a computer program executed by the processor is stored in the memory, and when the computer program is executed by the processor, the method for estimating the remaining charging time according to claim 6 is executed.

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the method for estimating the remaining charging time according to any one of claims 1 to 5 is implemented.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the method for estimating the remaining charging time according to claim 6 is implemented.

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