WO2024045502A1 - 电池电压采集故障预警方法及*** - Google Patents
电池电压采集故障预警方法及*** Download PDFInfo
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- WO2024045502A1 WO2024045502A1 PCT/CN2023/075975 CN2023075975W WO2024045502A1 WO 2024045502 A1 WO2024045502 A1 WO 2024045502A1 CN 2023075975 W CN2023075975 W CN 2023075975W WO 2024045502 A1 WO2024045502 A1 WO 2024045502A1
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000002159 abnormal effect Effects 0.000 claims abstract description 90
- 238000012544 monitoring process Methods 0.000 claims abstract description 68
- 238000005070 sampling Methods 0.000 claims abstract description 22
- 238000004590 computer program Methods 0.000 description 20
- 230000006870 function Effects 0.000 description 10
- 230000008569 process Effects 0.000 description 9
- 238000003860 storage Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 7
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- 238000004891 communication Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
Definitions
- the present disclosure relates to the field of battery safety, and in particular to a battery voltage acquisition fault early warning method and system.
- Battery safety has increasingly become a social concern in recent years, and the battery management system BMS, as a battery nanny or battery housekeeper, is mainly used to intelligently manage and maintain each battery unit, prevent the battery from overcharging and over-discharging, and extend the battery life. Service life, monitor battery status. If the battery voltage information collected by the battery management system BMS is wrong, it will seriously affect the normal function of the battery management system, so the battery is at risk.
- the existing battery management system BMS determines that the battery's voltage sampling is faulty. Generally, it only determines that the battery's voltage sampling is missing or exceeds the value of the range. It cannot determine the authenticity of the value within the range, and it is impossible to know whether there is abnormal voltage sampling data.
- the present disclosure provides a battery voltage collection fault early warning method and system, which can timely acquire abnormal cells and send out sampling fault early warning signals to keep the battery in a safe operating state.
- a battery voltage collection fault early warning method including the following steps: collecting the total voltage of the battery system at each frame time within a preset monitoring time, and collecting the effective cell voltage of each cell. ; Calculate the number of abnormal frames of voltage data based on the preset monitoring time, the total voltage of the battery system and the effective voltage of each battery cell; calculate the total number of frames of the preset monitoring time, and calculate the abnormal voltage data The ratio between the number of frames and the total number of frames. If the ratio is greater than or equal to the preset proportion threshold, abnormal cells are identified from each of the cells and a sampling failure warning signal is issued.
- a battery voltage collection fault early warning system including: a voltage acquisition module, used to collect the total voltage of the battery system at each frame time within the preset monitoring time, and collect the effective cell value of each cell. Voltage; the abnormal frame number acquisition module is communicatively connected to the voltage acquisition module and is used to calculate the abnormal frame number of voltage data based on the preset monitoring time, the total voltage of the battery system and the effective voltage of each battery cell; and , the abnormal cell module, the voltage acquisition module and the The communication connection of the abnormal frame number acquisition module is used to calculate the total number of frames in the preset monitoring time, and calculate the ratio between the abnormal frame number of voltage data and the total frame number. If the ratio is greater than or equal to the preset If the proportion threshold is reached, abnormal cells will be identified from each of the cells and a sampling failure warning signal will be issued.
- Figure 1 shows an exemplary flow chart of a battery voltage acquisition fault early warning method according to some embodiments of the present disclosure
- Figure 2 shows an exemplary flow chart of a battery voltage collection fault early warning method according to other embodiments of the present disclosure
- Figure 3 shows an exemplary flow chart of a battery voltage collection fault early warning method according to further embodiments of the present disclosure
- FIG. 4 shows an exemplary structural diagram of a battery voltage acquisition fault early warning system according to some embodiments of the present disclosure.
- an embodiment of the present disclosure provides a battery voltage collection fault early warning method, which includes the following steps S100 to S300.
- S100 within the preset monitoring time, collects the total voltage of the battery system at each frame time, and collects the effective cell voltage of each cell; the BMS collects the voltage of each cell, and at the same time, the BMS collects the total positive and total negative voltage of the battery system. Directly collect the total voltage of the battery system.
- the preset monitoring time is the monitoring data duration
- the preset monitoring time of the vehicle on that day is greater than a certain threshold.
- S300 Calculate the total number of frames in the preset monitoring time, and calculate the ratio between the number of abnormal voltage data frames and the total number of frames. If the ratio is greater than or equal to the preset proportion threshold, then from each Identify abnormal cells among the above-mentioned cells and send out a sampling failure early warning signal.
- the preset monitoring time is 10 minutes, and if the monitoring data frequency is 10 seconds/frame, the total number of frames in the preset monitoring time is the sum of the preset monitoring time and the The product of monitoring data frequencies, totaling 60 frames.
- the existing battery management system BMS determines that the battery's voltage sampling is faulty. Generally, it only determines that the battery's voltage sampling is missing or exceeds the value of the measurement range. It cannot determine the authenticity of the value within the measurement range and whether there is a voltage sample. Abnormal data cannot be known. Therefore, the present disclosure first collects the total voltage of the battery system at each frame time within the preset monitoring time, and collects the effective cell voltage of each cell; according to the preset monitoring time, the total voltage of the battery system and the Describe the effective voltage of the battery core, calculate the number of abnormal frames of voltage data; calculate the total number of frames of the preset monitoring time, and calculate the ratio between the number of abnormal frames of voltage data and the total number of frames.
- abnormal cells will be identified from each of the cells and a sampling failure early warning signal will be issued; therefore, abnormal cells can be identified in time and a sampling failure early warning signal will be issued to keep the battery in a safe operating state.
- S200 calculates the number of abnormal frames of voltage data based on the preset monitoring time, the total voltage of the battery system and the effective voltage of each cell. ” steps, specifically including the following steps:
- S210 traverse each frame within the preset monitoring time, calculate the voltage reference value of the battery core according to the effective voltage of each battery core in the current frame, and calculate the effective voltage of each battery core and the voltage The first difference between the reference values, counting the first number of cells whose first difference is greater than the preset difference;
- S220 Calculate the second difference between the total voltage of the battery system and the sum of the effective voltages of all cells. If the ratio of the second difference to the first quantity is greater than or equal to the preset difference, determine that the The current frame is a voltage data abnormal frame;
- S230 Calculate the number of frames with abnormal voltage data based on the preset monitoring time and the abnormal voltage data frames.
- the preset monitoring time is 10 minutes and the monitoring data frequency is 10 seconds/frame
- the total number of frames in the preset monitoring time is 60 frames, traversing 60 frames within 10 minutes, traversing
- the current frame is an abnormal voltage data frame. For example, the 1st frame, 3rd frame, 5th frame, 10th frame, and 50th frame within 10 minutes are all traversed. If the voltage data is abnormal frame, then the number of frames with abnormal voltage data is 5 frames.
- S210 traverses each frame within the preset monitoring time, calculates the voltage reference value of the battery core according to the effective voltage of each battery core in the current frame, and Calculate the first difference between the effective voltage of each battery cell and the voltage reference value, and count the first number of battery cells whose first difference is greater than the preset difference, specifically including the following steps:
- the definition of the voltage reference value can be divided into two situations: voltage median and voltage average; the preset difference can be set to 0.2V, and the preset can be adjusted according to the performance of the big data production environment. Set the difference value until it is stable, and control the false alarm rate and false negative rate of the early warning to a certain level.
- Median difference a set of data, the difference between each data and the median of this set of data.
- Mean difference a set of data, the difference between each data and the mean of this set of data.
- False alarm rate the ratio of the number of vehicles with inaccurate warnings to the number of all warning vehicles.
- False negative rate the ratio of the number of vehicles with problems that have not been warned to the number of all vehicles with problems on the market.
- S220 calculates the second difference between the total voltage of the battery system and the sum of the effective voltages of all cells. If the second difference is equal to the first number of If the ratio is greater than or equal to the preset difference, then the step of determining that the current frame is an abnormal voltage data frame specifically includes the following steps:
- the ratio of the second difference volt off to the first quantity N is greater than or equal to the preset difference volt thr : Then it is determined that the current frame is an abnormal voltage data frame;
- Cell i is the voltage of the i-th cell
- n is the total number of cells.
- step of identifying abnormal cells from each of the cells specifically includes the following steps:
- the preset proportion threshold can be set to 10%, and the threshold can be adjusted until stable according to the performance of the big data production environment, and the false positive rate and false negative rate of the early warning can be controlled to a certain level.
- the step of "collecting the effective cell voltage of each cell” in S100 specifically includes the following steps:
- the voltage within 0-5V is generally the effective voltage of the cell. If the voltage of a single cell is 0V or ⁇ 5V, it is directly determined that the voltage collection is faulty.
- the present disclosure provides a battery voltage collection fault early warning method
- the embodiment of the present disclosure also provides a battery voltage acquisition fault early warning system 100, which may include: a voltage acquisition module 110, an abnormal frame number acquisition module 120, and an abnormal battery cell module 130; the voltage acquisition module 110, Used to collect the total voltage of the battery system at each frame time within the preset monitoring time, and collect the effective cell voltage of each cell; the abnormal frame number acquisition module 120 is connected with all The voltage acquisition module 110 is connected through communication and is used to calculate the number of abnormal frames of voltage data based on the preset monitoring time, the total voltage of the battery system and the effective voltage of each battery cell; and the abnormal battery module 130 is connected to all battery cells.
- the voltage acquisition module 110 and the abnormal frame number acquisition module 120 are connected by communication, and are used to calculate the total number of frames in the preset monitoring time, and calculate the ratio between the voltage data abnormal frame number and the total frame number. , if the ratio is greater than or equal to the preset proportion threshold, abnormal cells are identified from each of the cells, and a sampling failure warning signal is issued.
- the abnormal frame number acquisition module 120 is used to traverse each frame within the preset monitoring time, calculate the voltage reference value of the battery core according to the effective voltage of each battery core in the current frame, and calculate the voltage reference value of each battery cell. Calculate the first difference between the effective voltage of the battery cell and the voltage reference value, count the first number of battery cells whose first difference is greater than the preset difference; calculate the total voltage of the battery system and all battery cells. The second difference between the effective voltage sums, if the ratio of the second difference to the first quantity is greater than or equal to the preset difference, it is determined that the current frame is an abnormal voltage data frame; according to the Preset the monitoring time and the voltage data abnormal frame, and calculate the number of frames with abnormal voltage data.
- the abnormal cell module 130 is used to calculate the total number of frames in the preset monitoring time, and calculate the ratio between the abnormal number of voltage data frames and the total number of frames. If the ratio is greater than or equal to the preset If the proportion threshold is determined, among each of the cells, the cell with the largest median difference or the maximum average difference in a single frame of time within the preset monitoring time is determined to be an abnormal cell.
- the present disclosure first collects the total voltage of the battery system at each frame time within the preset monitoring time, and collects the effective cell voltage of each cell; according to the preset monitoring time, the total voltage of the battery system and the Describe the effective voltage of the battery core, calculate the number of abnormal frames of voltage data; calculate the total number of frames of the preset monitoring time, and calculate the ratio between the number of abnormal frames of voltage data and the total number of frames. If the ratio is greater than If equal to the preset proportion threshold, abnormal cells will be identified from each of the cells and a sampling failure early warning signal will be issued; therefore, abnormal cells can be obtained in time and a sampling failure early warning signal will be issued to keep the battery in a safe operating state.
- this embodiment corresponds one-to-one with the above-mentioned method embodiments.
- the functions of each module have been described in detail in the corresponding method embodiments, so they will not be described again one by one.
- embodiments of the present disclosure also provide a computer-readable storage medium on which a computer program is stored.
- the computer program is executed by a processor, all or part of the method steps of the above method are implemented.
- the present disclosure implements all or part of the processes in the above method, and can also be completed by instructing relevant hardware through a computer program.
- the computer program can be stored in a computer-readable storage medium. When executed by the processor, the computer program can implement The steps of each of the above method embodiments.
- the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc.
- Computer-readable media may include: any entity or device that can carry computer program code, recording media, USB flash drives, mobile hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electrical carrier signals, telecommunications signals and software Distribution media, etc.
- the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.
- the computer-readable medium does not include Electrical carrier signals and telecommunications signals.
- embodiments of the present disclosure also provide an electronic device, including a memory and a processor.
- the memory stores a computer program running on the processor.
- the processor executes the computer program, all method steps in the above method are implemented or Some method steps.
- the so-called processor can be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate array (Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
- a general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc.
- the processor is the control center of the computer device and uses various interfaces and lines to connect various parts of the entire computer device.
- the memory can be used to store computer programs and/or modules, and the processor implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory, and calling data stored in the memory.
- the memory may mainly include a storage program area and a storage data area, wherein the storage program area may store the operating system and at least one application program required for a function (such as a sound playback function, an image playback function, etc.); the storage data area may store functions according to the mobile phone. Use the created data (such as audio data, video data, etc.).
- the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card , Flash Card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
- non-volatile memory such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card , Flash Card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
- embodiments of the present disclosure may be provided as methods, systems, servers, or computer program products. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) embodying computer-usable program code therein.
- computer-usable storage media including, but not limited to, magnetic disk storage, optical storage, and the like
- These computer program instructions may also be stored in a computer or other programmable data processor capable of directing the computer or other programmable data processing
- a computer-readable memory in which an apparatus operates in a specific manner such that instructions stored in the computer-readable memory produce an article of manufacture that includes instruction means that implements a process or processes in a flowchart and/or a method in a block diagram A function specified in a box or boxes.
- These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device.
- Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.
- This disclosure first collects the total voltage of the battery system at each frame time within the preset monitoring time, and collects the effective cell voltage of each cell; according to the preset Monitor the time, the total voltage of the battery system and the effective voltage of each battery cell, and calculate the number of abnormal frames of voltage data; calculate the total number of frames of the preset monitoring time, and calculate the number of abnormal frames of voltage data and the total number of frames.
- the ratio between the number of frames If the ratio is greater than or equal to the preset proportion threshold, abnormal cells will be identified from each of the cells and a sampling failure early warning signal will be issued; therefore, the abnormal cells can be obtained in time and a sampling failure will be issued. Early warning signal to keep the battery in a safe operating state.
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Abstract
一种电池电压采集故障预警方法及***，其方法包括以下步骤：在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压（S100）；根据预设监控时间、电池***总电压及各电芯有效电压，计算电压数据异常帧数（S200）；计算预设监控时间的总帧数，并计算电压数据异常帧数与总帧数之间的比值，若比值大于等于预设占比阈值，则从各电芯中识别异常电芯，并发出采样故障预警信号（S300）；因此能及时获取异常电芯，发出采样故障预警信号，使电池处于安全运营状态。
Description
相关申请的交叉引用
本公开要求于2022年08月31日提交、申请号为202211056283.2且名称为“电池电压采集故障预警方法及***”的中国专利申请的优先权，其全部内容通过引用合并于此。
本公开涉及电池安全领域，特别涉及一种电池电压采集故障预警方法及***。
电池的安全近年来越来越成为社会关注的问题，而电池管理***BMS作为电池保姆或电池管家，主要就是为了智能化管理及维护各个电池单元，防止电池出现过充电和过放电，延长电池的使用寿命，监控电池的状态。如果电池管理***BMS采集到的电池电压信息是错的，将严重影响电池管理***的正常作用，因此电池处于安全隐患之下。
现有电池管理***BMS判断电池的电压采样出现故障，一般仅仅判断电池的电压采样丢失或超出量程的数值，对于在量程内的数值无法判断其真实性，是否存在电压采样异常数据无法得知。
发明内容
本公开提供一种电池电压采集故障预警方法及***，能及时获取异常电芯，发出采样故障预警信号，使电池处于安全运营状态。
在本公开第一方面，提供了一种电池电压采集故障预警方法，包括以下步骤：在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
第二方面，提供了一种电池电压采集故障预警***，包括：电压获取模块，用于在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；异常帧数获取模块，与所述电压获取模块通信连接，用于根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；以及，异常电芯模块，与所述电压获取模块及所述
异常帧数获取模块通信连接，用于计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
图1示出了依据本公开的一些实施例的一种电池电压采集故障预警方法的示例性流程图；
图2示出了依据本公开的另一些实施例的一种电池电压采集故障预警方法的示例性流程图；
图3示出了依据本公开的又一些实施例的一种电池电压采集故障预警方法的示例性流程图；
图4示出了依据本公开的一些实施例的一种电池电压采集故障预警***的示例性结构图。
附图说明：
100、电池电压采集故障预警***；110、电压获取模块；120、异常帧数获取模块；130、异常电芯模块。
现在将详细参照本公开的具体实施例，在附图中例示了本公开的例子。尽管将结合具体实施例描述本公开，但将理解，不是想要将本公开限于所述的实施例。相反，想要覆盖由所附权利要求限定的在本公开的精神和范围内包括的变更、修改和等价物。应注意，这里描述的方法步骤都可以由任何功能块或功能布置来实现，且任何功能块或功能布置可被实现为物理实体或逻辑实体、或者两者的组合。
为了使本领域技术人员更好地理解本公开，下面结合附图和具体实施方式对本公开作进一步详细说明。
注意：接下来要介绍的示例仅是一个具体的例子，而不作为限制本公开的实施例必须为如下具体的步骤、数值、条件、数据、顺序等等。本领域技术人员可以通过阅读本说明书来运用本公开的构思来构造本说明书中未提到的更多实施例。
参见图1所示，本公开实施例提供一种电池电压采集故障预警方法，包括以下步骤S100～步骤S300。
S100，在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；BMS采集每个电芯电压，同时BMS在电池***的总正、总负之间直接采集电池***的总压。
S200，根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；所述预设监控时间为监控数据持续时间，
为了消除监控数据量太少产生的准确性波动，通常车辆当日所述预设监控时间大于一定阈值。
S300，计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
在一些实施例中，如，所述预设监控时间为10分钟，如果监控数据频率是10秒钟/帧，则所述预设监控时间的总帧数为所述预设监控时间与所述监控数据频率的乘积，合计60帧。
在一些实施例中，现有电池管理***BMS判断电池的电压采样出现故障，一般仅仅判断电池的电压采样丢失或超出量程的数值，对于在量程内的数值无法判断其真实性，是否存在电压采样异常数据无法得知。因此本公开首先在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号；因此能及时识别出异常电芯，发出采样故障预警信号，使电池处于安全运营状态。
同时参见图2所示，在本公开另一些实施例中，所述“S200，根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数”步骤，具体包括以下步骤：
S210，遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量；
S220，计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于预设差值，则判定所述当前帧为电压数据异常帧；
S230，根据所述预设监控时间和所述电压数据异常帧，计算电压数据异常的帧数。
在一些实施例中，若所述预设监控时间为10分钟，监控数据频率是10秒钟/帧，则所述预设监控时间的总帧数60帧，遍历10分钟内的60帧，遍历到的当前帧的电压数据存在异常，则判定所述当前帧为电压数据异常帧，比如遍历到10分钟内的第1帧、第3帧、第5帧、第10帧、第50帧均为电压数据异常帧，那么电压数据异常的帧数为5帧。
在本公开另一些实施例中，所述“S210，遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并
计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量”步骤，具体包括以下步骤：
遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所有所述电芯有效电压的电压中位数，并计算各所述电芯有效电压与所述电压中位数之间的中位差，统计所述中位差大于预设差值的电芯的第一数量；或者，
遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所有所述电芯有效电压的电压平均数；并计算各所述电芯有效电压与所述电压平均数之间的平均差，统计所述平均差大于预设差值的电芯的第一数量。
在一些实施例中，对于电压基准值的定义可以分为两种情况：电压中位数和电压平均数；所述预设差值可以设定为0.2V，可根据大数据生产环境表现调整预设差值直至稳定，控制预警的误报率和漏报率在一定水平。中位差：一组数据，每个数据与这组数据的中位数的差。平均值差：一组数据，每个数据与这组数据的平均值的差。误报率：预警不准确的车辆数与所有预警车辆数的比值。漏报率：市场上没有被预警出来的有问题的车辆数与所有有问题的车辆数的比值。
在本公开另一些实施例中，所述“S220，计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于预设差值，则判定所述当前帧为电压数据异常帧”步骤，具体包括以下步骤：
根据所述电池***总电压Volttotal和所有所述电芯有效电压总和Volt1total，计算所述电池***总电压与所有所述电芯有效电压总和Volt1total之间的第二差值voltoff：
若所述第二差值voltoff与所述第一数量N的比值大于等于所述预设差值voltthr：则判定所述当前帧为电压数据异常帧；
式(1)中，Celli为第i个电芯电压，n为电芯的总数量。
在本公开另一些实施例中，所述S300中“计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯”步骤，具体包括以下步骤：
计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则判定各所述电芯中，单帧时间的最大中位差或最大平均差在所述预设监控时间内出现次数最
多的电芯为异常电芯。
在一些实施例中，所述预设占比阈值可以设定为10％，根据大数据生产环境表现调整阈值直至稳定，控制预警的误报率和漏报率在一定水平。
同时参见图3所示，在本公开另一些实施例中，所述S100中“采集每个电芯的电芯有效电压”步骤，具体包括以下步骤：
S110，采集每个电芯的初始电压；
S120，若所述电芯的初始电压在预设电压范围内，则将所述电芯的初始电压作为电芯有效电压；
S130，若所述电芯的初始电压不在所述预设电压范围内，则发出采样故障预警信号。
在一些实施例中，由于单个电芯电压的合理有效取值范围一般是(0v，5v)，所述预设电压范围为(0v，5v)。所以一般在0-5v以内的电压为电芯有效电压，如果单体电芯电压出现0v或≥5V的情况，直接判定电压采集有故障。
本公开提供的一种电池电压采集故障预警方法，
1、在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的初始电压；若所述电芯的初始电压在预设电压范围内，则将所述电芯的初始电压作为电芯有效电压；
2、遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量N；
3、根据所述电池***总电压Volttotal和所有所述电芯有效电压总和Volt1total，计算所述电池***总电压Volttotal与所有所述电芯有效电压总和Volt1total之间的第二差值voltoff：
4、若所述第二差值voltoff与所述第一数量N的比值大于等于预设差值voltthr：则判定所述当前帧为电压数据异常帧；
5、计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则判定各所述电芯中，单帧时间的最大中位差或最大平均差在所述预设监控时间内出现次数最多的电芯为异常电芯。
同时参见图4所示，本公开实施例还提供了一种电池电压采集故障预警***100，可以包括：电压获取模块110、异常帧数获取模块120及异常电芯模块130；电压获取模块110，用于在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；异常帧数获取模块120，与所
述电压获取模块110通信连接，用于根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；以及，异常电芯模块130，与所述电压获取模块110及所述异常帧数获取模块120通信连接，用于计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
所述异常帧数获取模块120，用于遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量；计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于所述预设差值，则判定所述当前帧为电压数据异常帧；根据所述预设监控时间和所述电压数据异常帧，计算电压数据异常的帧数。
所述异常电芯模块130，用于计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则判定各所述电芯中，单帧时间的最大中位差或最大平均差在所述预设监控时间内出现次数最多的电芯为异常电芯。
因此本公开首先在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号；因此能及时获取异常电芯，发出采样故障预警信号，使电池处于安全运营状态。
具体的，本实施例与上述方法实施例一一对应，各个模块的功能在相应的方法实施例中已经进行详细说明，因此不再一一赘述。
基于同一发明构思，本公开实施例还提供了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现上述方法的所有方法步骤或部分方法步骤。
本公开实现上述方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，计算机程序包括计算机程序代码，计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。计算机可读介质可以包括：能够携带计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-OnlyMemory)、随机存取存储器(RAM，RandomAccess Memory)、电载波信号、电信信号以及软件
分发介质等。需要说明的是，计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括电载波信号和电信信号。
基于同一发明构思，本公开实施例还提供一种电子设备，包括存储器和处理器，存储器上储存有在处理器上运行的计算机程序，处理器执行计算机程序时实现上述方法中的所有方法步骤或部分方法步骤。
所称处理器可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field-Programmable GateArray，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等，处理器是计算机装置的控制中心，利用各种接口和线路连接整个计算机装置的各个部分。
存储器可用于存储计算机程序和/或模块，处理器通过运行或执行存储在存储器内的计算机程序和/或模块，以及调用存储在存储器内的数据，实现计算机装置的各种功能。存储器可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作***、至少一个功能所需的应用程序(例如声音播放功能、图像播放功能等)；存储数据区可存储根据手机的使用所创建的数据(例如音频数据、视频数据等)。此外，存储器可以包括高速随机存取存储器，还可以包括非易失性存储器，例如硬盘、内存、插接式硬盘，智能存储卡(Smart Media Card，SMC)，安全数字(Secure Digital，SD)卡，闪存卡(Flash Card)、至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
本领域内的技术人员应明白，本公开的实施例可提供为方法、***、服务器或计算机程序产品。因此，本公开可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本公开可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。
本公开是参照根据本公开实施例的方法、设备(***)、服务器和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理
设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
与现有技术相比，本公开的优点如下：本公开首先在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号；因此能及时获取异常电芯，发出采样故障预警信号，使电池处于安全运营状态。
显然，本领域的技术人员可以对本公开进行各种改动和变型而不脱离本公开的精神和范围。这样，倘若本公开的这些修改和变型属于本公开权利要求及其等同技术的范围之内，则本公开也意图包含这些改动和变型在内。
Claims (10)
- 一种电池电压采集故障预警方法，包括以下步骤：在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
- 如权利要求1所述的电池电压采集故障预警方法，其中，所述“根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数”步骤，包括以下步骤：遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量；计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于所述预设差值，则判定所述当前帧为电压数据异常帧；根据所述预设监控时间和所述电压数据异常帧，计算电压数据异常的帧数。
- 如权利要求2所述的电池电压采集故障预警方法，其中，所述第一差值包括中位差或电压平均数，所述“根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量”步骤，包括以下步骤：根据当前帧中各所述电芯有效电压，计算所有所述电芯有效电压的电压中位数，并计算各所述电芯有效电压与所述电压中位数之间的中位差，统计所述中位差大于预设差值的电芯的第一数量；或者，根据当前帧中各所述电芯有效电压，计算所有所述电芯有效电压的电压平均数；并计算各所述电芯有效电压与所述电压平均数之间的平均差，统计所述平均差大于预设差值的电芯的第一数量。
- 如权利要求3所述的电池电压采集故障预警方法，其中，所述“计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于所述预设差值，则判定所述当前帧为电压数据异常帧”步骤，包括以下步骤：根据所述电池***总电压Volttotal和所有所述电芯有效电压总和Volt1total，计算所述电池***总电压Volttotal与所有所述电芯有效电压总和Volt1total之间的第二差值voltoff：
若所述第二差值voltoff与所述第一数量N的比值大于等于所述预设差值voltt□r：则判定所述当前帧为电压数据异常帧；式(1)中，Celli为第i个电芯电压，n为电芯的总数量。 - 如权利要求3所述的电池电压采集故障预警方法，其中，所述“计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯”步骤，包括以下步骤：计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则判定各所述电芯中，单帧时间的最大中位差或最大平均差在所述预设监控时间内出现次数最多的电芯为异常电芯。
- 如权利要求1所述的电池电压采集故障预警方法，其中，所述“采集每个电芯的电芯有效电压”步骤，包括以下步骤：采集每个电芯的初始电压；若所述电芯的初始电压在预设电压范围内，则将所述电芯的初始电压作为电芯有效电压；若所述电芯的初始电压不在所述预设电压范围内，则发出采样故障预警信号。
- 如权利要求2所述的电池电压采集故障预警方法，其中，所述预设差值设为0.2V，所述预设占比阈值设为10％。
- 一种电池电压采集故障预警***，包括：电压获取模块，用于在预设监控时间内，采集每帧时间的电池***总电压，并采集每个电芯的电芯有效电压；异常帧数获取模块，与所述电压获取模块通信连接，用于根据所述预设监控时间、所述电池***总电压及各所述电芯有效电压，计算电压数据异常帧数；以及，异常电芯模块，与所述电压获取模块及所述异常帧数获取模块通信连接，用于计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则从各所述电芯中识别异常电芯，并发出采样故障预警信号。
- 如权利要求8所述的电池电压采集故障预警***，其中，所述异常帧 数获取模块，用于遍历所述预设监控时间内的每一帧，根据当前帧中各所述电芯有效电压，计算所述电芯的电压基准值，并计算各所述电芯有效电压与所述电压基准值之间的第一差值，统计所述第一差值大于预设差值的电芯的第一数量；计算所述电池***总电压与所有电芯有效电压总和之间的第二差值，若所述第二差值与所述第一数量的比值大于等于所述预设差值，则判定所述当前帧为电压数据异常帧；根据所述预设监控时间和所述电压数据异常帧，计算电压数据异常的帧数。
- 如权利要求9所述的电池电压采集故障预警***，其中，所述异常电芯模块，用于计算所述预设监控时间的总帧数，并计算所述电压数据异常帧数与所述总帧数之间的比值，若所述比值大于等于预设占比阈值，则判定各所述电芯中，单帧时间的最大中位差或最大平均差在所述预设监控时间内出现次数最多的电芯为异常电芯。
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