Method, system and equipment for accurately monitoring endurance mileage of vehicle in real time and medium

Abstract

The invention relates to a method, a system, equipment and a medium for accurately monitoring the endurance mileage of a vehicle in real time, and the method comprises the following steps: obtaining the whole vehicle operation monitoring data of a battery pack in an evaluation time period through a big data monitoring platform, and carrying out the preprocessing to obtain a time sequence data set; identifying the discharging process of the battery pack according to the time sequence data set, and calculating to obtain the residual energy of the battery pack; and estimating the endurance mileage of the vehicle according to the residual energy of the battery pack. The battery pack can be widely applied to the technical field of vehicle power battery packs.

Description

Technical Field

[0001] The present invention relates to a method, system, device and medium for accurately monitoring the cruising range of a vehicle in real time during a discharge process, and belongs to the technical field of vehicle power battery packs. Background Art

[0002] In recent years, with the rapid development of new energy technologies, the use of electric vehicles has become more and more popular. As a result, the safe use of electric vehicle batteries has also received more and more attention. Power batteries for electric vehicles generally combine a large number of single cells in series and parallel to meet the battery capacity and voltage requirements of electric vehicles in the market, providing new energy vehicles with sufficient power and energy to meet their complex operating conditions and mileage requirements.

[0003] However, excluding the battery module failure of the battery pack, electric vehicles often have insufficient battery life during use. This is mainly due to the fact that during actual use, the actual battery life of the electric vehicle battery is quite different from the data displayed by the BMS, which in turn causes installation and disposal failures. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to provide a method, system, device and medium for real-time and accurate monitoring of vehicle range. The method achieves the purpose of timely reflecting the remaining energy of the battery pack by accurately calculating the capacity and energy value of the battery pack during discharge, and can be used for timed remote analysis of the power battery remote monitoring big data analysis platform.

[0005] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for accurately monitoring a vehicle's cruising range in real time, comprising the following steps: The vehicle operation monitoring data of the battery pack during the evaluation period is obtained through the big data monitoring platform, and preprocessed to obtain a time series data set; Identify the discharge process of the battery pack based on the time series data set and calculate the remaining energy of the battery pack; The vehicle's range is estimated based on the remaining energy in the battery pack.

[0006] Furthermore, the method of obtaining the vehicle operation monitoring data of the battery pack within the evaluation time period through the big data monitoring platform and preprocessing to obtain a time series data set includes the following steps: Obtain the vehicle operation monitoring data of the battery pack during the evaluation period, including at least real-time acquisition time, SOC, voltage of each module, mileage, operating current, and total voltage parameters; The acquired vehicle operation monitoring data is preprocessed and sorted according to preset rules to establish a time series data set.

[0007] Furthermore, when establishing the time series data set, the acquired vehicle operation monitoring data is sorted by vehicle number and collection time, and is first sorted by collection time and then by vehicle number.

[0008] Further, the method of identifying the discharge process of the battery pack based on the time series data set and calculating the remaining energy of the battery pack includes the following steps: Identify the discharge process of the battery pack based on the time series data set, and filter out the current and discharge time data of the battery pack in the discharge state; When the battery pack is in the discharge state, calculate the actual total voltage of the battery pack; Calculate the discharge capacity of the battery pack based on the current and discharge time data; Calculate the actual discharge energy of the battery pack based on the actual total voltage and discharge capacity of the battery pack; The remaining usable energy of the battery pack is estimated based on the actual discharge energy of the battery pack and its rated discharge energy.

[0009] Further, the method of identifying the discharge process of the battery pack according to the time series data set and screening to obtain the current and discharge time data of the battery pack in the discharge state includes: According to the change trend of SOC value in the time series data set and the reported value of BMS, determine whether the battery pack is in the discharge state; When the battery pack is in a discharging state, the current and discharge time data of the battery pack during the discharge process are collected.

[0010] Further, judging whether the battery pack is in a discharging state according to the change trend of the SOC value in the time series data set and the reported value of the BMS includes: When the BMS reported value is 3, and the SOC value continues to decrease, and the SOC value fluctuation range does not exceed the preset value, the battery pack is judged to be in the discharge process, which is expressed as: 0%<= ∣soc_last-soc∣<2%and vehicleStatus=3 Among them, soc is the current soc value, soc_last is the soc value at the previous moment, vehicleStatus is the current charge and discharge status of the battery, which is obtained from the reported value of BMS, and 3 represents the discharge status.

[0011] Furthermore, the remaining usable energy of the battery pack is expressed as a percentage SOW, which is expressed as: 1-Wh_throughput / W0 AS SOW Wherein, W0 represents the rated discharge energy of the battery; Wh_throughput is the discharge energy.

[0012] In a second aspect, the present invention provides a system for accurately monitoring vehicle mileage in real time, comprising: The data preparation module is used to obtain the vehicle operation monitoring data of the battery pack during the evaluation period through the big data monitoring platform, and preprocess it to obtain a time series data set; The remaining energy calculation module is used to identify the discharge process of the battery pack according to the time series data set and calculate the remaining energy of the battery pack; The cruising range estimation module is used to estimate the vehicle's cruising range based on the remaining energy of the battery pack.

[0013] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any method.

[0014] In a fourth aspect, the present invention provides a computing device, comprising: one or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, and the one or more programs include instructions for executing any method.

[0015] The present invention adopts the above technical solution, which has the following advantages: 1. The present invention provides a method for real-time and accurate monitoring of vehicle energy consumption. By monitoring the energy consumption status of the vehicle, the method can count the usage conditions of the vehicle battery in real time, and provide data support for the later battery life evaluation; 2. The present invention is timely in counting vehicle power consumption and can estimate the remaining endurance energy of the vehicle more accurately.

[0016] Therefore, the present invention can be widely applied in the technical field of automotive power battery packs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components. In the accompanying drawings: Figure 1 It is a flow chart of a method for real-time and accurate monitoring of vehicle cruising range provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0019] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0020] At present, all battery and vehicle manufacturing industries have established battery big data monitoring platforms to monitor battery operating data in real time, monitor battery module status in real time through data analysis, and monitor the battery's actual endurance energy in a timely and accurate manner.

[0021] Based on this, some embodiments of the present invention provide a method for real-time and accurate monitoring of vehicle range, which uses battery operation data collected by a big data monitoring platform to calculate the remaining energy of the battery during discharge, issue effective risk warnings in a timely manner, and avoid the occurrence of installation and abandonment failures during driving.

[0022] Correspondingly, in other embodiments of the present invention, a system, device and medium for real-time and accurate monitoring of vehicle range are provided.

[0023] Example 1 like Figure 1 As shown, this embodiment provides a method for real-time and accurate monitoring of vehicle cruising range, which includes the following steps: 1) Obtain the vehicle operation monitoring data of the battery pack during the evaluation period through the big data monitoring platform, and preprocess it to obtain a time series data set; 2) Identify the discharge process of the battery pack based on the time series data set and calculate the remaining energy of the battery pack; 3) Estimate the vehicle's range based on the remaining energy in the battery pack.

[0024] Furthermore, in the above step 1), the whole vehicle operation monitoring data of the battery pack within the evaluation time period is obtained through the big data monitoring platform, and the time series data set is obtained by preprocessing, including the following steps: 1.1) Obtain the vehicle operation monitoring data of the battery pack during the evaluation period, including but not limited to real-time acquisition time (time) t, SOC (soc) s, module voltage (cellVoltages), mileage (mileage) km, operating current (current) i, total voltage (voltage) v and other parameters; 1.2) Preprocess the acquired vehicle operation monitoring data, sort them according to preset rules, and establish a time series data set to facilitate subsequent time series analysis.

[0025] Furthermore, in the above step 1.1), the evaluation time period can be set according to actual needs, for example, it can be set to 1 hour. Accordingly, when obtaining the whole vehicle operation monitoring data, it is necessary to obtain the operation monitoring data corresponding to all collection moments within 1 hour.

[0026] In this embodiment, when preprocessing the vehicle monitoring data, the preprocessing method includes data cleaning, format conversion, etc. to ensure data quality and consistency.

[0027] Furthermore, in the above step 1.2), when establishing the time series data set, this embodiment sorts the acquired vehicle operation monitoring data by vehicle number and collection time, and requires sorting by collection time first and then by vehicle number.

[0028] Furthermore, in the above step 2), the discharge process of the battery pack is identified based on the time series data set, and the remaining energy of the battery pack is calculated, including the following steps: 2.1) Identify the discharge process of the battery pack based on the time series data set, and filter out the current and discharge time data of the battery pack in the discharge state; 2.2) Calculate the actual total voltage of the battery pack when the battery pack is discharged; 2.3) Calculate the discharge capacity of the battery pack based on the current and discharge time data; 2.4) Calculate the actual discharge energy of the battery pack based on the actual total voltage and discharge capacity of the battery pack; 2.5) Estimate the remaining usable energy of the battery pack based on the actual discharge energy of the battery pack and its rated discharge energy.

[0029] Furthermore, in the above step 2.1), the discharge process is identified based on the time series data set, including: 2.1.1) Determine whether the battery pack is in a discharging state based on the change trend of the SOC value in the time series data set and the reported value of the BMS; Specifically, in this embodiment, the judgment condition is: the BMS reported value is 3 (that is, the battery pack is in a discharging state), and the SOC value continues to decrease, and the SOC value fluctuation range does not exceed the preset value (for example, the fluctuation range does not exceed 2%). At this time, it is judged that the battery pack is in the discharging process, which is expressed as: 0%<= ∣soc_last-soc∣<2% and vehicleStatus=3 Among them, soc is the current soc value, soc_last is the soc value at the previous moment, vehicleStatus is the current charge and discharge status of the battery, which is obtained from the reported value of BMS, and 3 represents the discharge status.

[0030] 2.1.2) When the battery pack is in a discharging state, the current and discharge time data of the battery pack during the discharge process are collected.

[0031] Furthermore, in the above step 2.2), when the battery pack is in the discharge state, the real total voltage of the battery pack is calculated, that is, the voltages of each module of the battery pack are summed to obtain the real total voltage of the battery pack, which is expressed as: SUM(cellVoltages)as totalvoltage Among them, cellVoltages is the voltage value of each module.

[0032] Furthermore, in the above step 2.3), when calculating the discharge capacity of the battery pack according to the battery current and discharge time data, the discharge capacity is calculated by an integration method. Specifically, a numerical integration algorithm (such as the trapezoidal method or the Simpson method) can be used to integrate the current to obtain the discharge capacity, which is expressed as: SUM(current * (timestamp - LAG(timestamp))) AS Ah_throughput Among them, Ah_throughput is the discharge capacity.

[0033] Furthermore, in the above step 2.5), when the discharge energy of the battery pack is calculated based on the actual total voltage and discharge capacity of the battery pack, the discharge energy is equal to the discharge capacity multiplied by the total voltage, expressed as: SUM(Ah_throughput * totalvoltage) AS Wh_throughput Among them, Wh_throughput is the discharge energy.

[0034] Furthermore, in the above step 2.6), when estimating the remaining usable energy of the battery based on the actual discharge energy of the battery pack and its rated discharge energy, the remaining energy percentage of the battery pack can be estimated by the ratio of the actual discharge energy to the rated discharge energy, and then the real-time cruising range can be calculated.

[0035] Specifically, based on the calculated discharge energy and the rated discharge energy ratio, the percentage of remaining usable energy of the battery is estimated, expressed as: 1-Wh_throughput / W0 AS SOW Wherein, W0 represents the rated discharge energy of the battery.

[0036] Example 2 The above-mentioned embodiment 1 provides a method for real-time and accurate monitoring of vehicle cruising range. Correspondingly, this embodiment provides a system for real-time and accurate monitoring of vehicle cruising range. The system provided in this embodiment can implement the method for real-time and accurate monitoring of vehicle cruising range of embodiment 1, and the system can be implemented by software, hardware, or a combination of software and hardware. For example, the system may include integrated or separate functional modules or functional units to execute the corresponding steps in each method of embodiment 1. Since the system of this embodiment is basically similar to the method embodiment, the process described in this embodiment is relatively simple, and the relevant parts can refer to the partial description of embodiment 1. The embodiment of the system provided in this embodiment is only illustrative.

[0037] The system for real-time and accurate monitoring of vehicle mileage provided in this embodiment includes: The data preparation module is used to obtain the vehicle operation monitoring data of the battery pack during the evaluation period through the big data monitoring platform, and preprocess it to obtain a time series data set; The remaining energy calculation module is used to identify the discharge process of the battery pack according to the time series data set and calculate the remaining energy of the battery pack; The cruising range estimation module is used to estimate the vehicle's cruising range based on the remaining energy of the battery pack.

[0038] Example 3 This embodiment provides a processing device corresponding to the method for real-time and accurate monitoring of vehicle range provided in this embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of embodiment 1.

[0039] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. The memory stores a computer program that can be run on the processor, and the processor executes the method for real-time and accurate monitoring of vehicle cruising range provided in this embodiment 1 when running the computer program.

[0040] Preferably, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0041] Preferably, the processor may be a central processing unit (CPU), a digital signal processor (DSP) or other general-purpose processors of various types, which are not limited here.

[0042] Example 4 The method for real-time and accurate monitoring of vehicle cruising range of this embodiment 1 can be specifically implemented as a computer program product, which may include a computer-readable storage medium carrying computer-readable program instructions for executing the method for real-time and accurate monitoring of vehicle cruising range of this embodiment 1.

[0043] Computer readable storage media can be tangible devices that hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any combination thereof.

[0044] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks. These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 One or more processes and / or boxes Figure 1 A function specified in one or more boxes. These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0045] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for real-time and accurate monitoring of vehicle mileage, characterized in that: The following steps are involved: The vehicle operation monitoring data of the battery pack during the evaluation period is obtained through the big data monitoring platform, and preprocessed to obtain a time series data set; Identify the discharge process of the battery pack based on the time series data set and calculate the remaining energy of the battery pack; The vehicle's range is estimated based on the remaining energy in the battery pack.

2. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 1, characterized in that: The method of obtaining the vehicle operation monitoring data of the battery pack within the evaluation time period through the big data monitoring platform and preprocessing to obtain a time series data set includes the following steps: Obtain the vehicle operation monitoring data of the battery pack during the evaluation period, including at least real-time acquisition time, SOC, voltage of each module, mileage, operating current, and total voltage parameters; The acquired vehicle operation monitoring data is preprocessed and sorted according to preset rules to establish a time series data set.

3. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 2, characterized in that: When establishing the time series data set, the acquired vehicle operation monitoring data is sorted by vehicle number and collection time, and is first sorted by collection time and then by vehicle number.

4. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 2, characterized in that: The method of identifying the discharge process of the battery pack based on the time series data set and calculating the remaining energy of the battery pack includes the following steps: Identify the discharge process of the battery pack based on the time series data set, and filter out the current and discharge time data of the battery pack in the discharge state; When the battery pack is in the discharge state, calculate the actual total voltage of the battery pack; Calculate the discharge capacity of the battery pack based on the current and discharge time data; Calculate the actual discharge energy of the battery pack based on the actual total voltage and discharge capacity of the battery pack; The remaining usable energy of the battery pack is estimated based on the actual discharge energy of the battery pack and its rated discharge energy.

5. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 4, characterized in that: The method of identifying the discharge process of the battery pack according to the time series data set and screening to obtain the current and discharge time data of the battery pack in the discharge state includes: According to the change trend of SOC value in the time series data set and the reported value of BMS, determine whether the battery pack is in the discharge state; When the battery pack is in a discharging state, the current and discharge time data of the battery pack during the discharge process are collected.

6. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 5, characterized in that: The method of judging whether the battery pack is in a discharging state according to the change trend of the SOC value in the time series data set and the reported value of the BMS includes: When the BMS reported value is 3, and the SOC value continues to decrease, and the SOC value fluctuation range does not exceed the preset value, the battery pack is judged to be in the discharge process, which is expressed as: 0%<= ∣soc_last-soc∣< 2%and vehicleStatus=3 Among them, soc is the current soc value, soc_last is the soc value at the previous moment, vehicleStatus is the current charge and discharge status of the battery, which is obtained from the reported value of BMS, and 3 represents the discharge status.

7. A method for real-time and accurate monitoring of vehicle mileage as claimed in claim 5, characterized in that: The remaining usable energy of the battery pack is expressed as a percentage SOW, which is expressed as: 1-Wh_throughput / W0 AS SOW Wherein, W0 represents the rated discharge energy of the battery; Wh_throughput is the discharge energy.

8. A system for real-time and accurate monitoring of vehicle mileage, characterized in that: include: The data preparation module is used to obtain the vehicle operation monitoring data of the battery pack during the evaluation period through the big data monitoring platform, and preprocess it to obtain a time series data set; The remaining energy calculation module is used to identify the discharge process of the battery pack according to the time series data set and calculate the remaining energy of the battery pack; The cruising range estimation module is used to estimate the vehicle's cruising range based on the remaining energy of the battery pack.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 7.

10. A computing device, characterized in that include: One or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, wherein the one or more programs include instructions for executing any one of the methods described in claims 1 to 7.

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