CN108445343A - A kind of power battery internal short-circuit detection method and system - Google Patents
A kind of power battery internal short-circuit detection method and system Download PDFInfo
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Abstract
本发明公开了一种动力电池内部短路检测方法及系统,该方法包括:采集动力电池中每个电池组的端电压;将所有端电压串联,构建闭合检测模型;计算每相邻两个端电压的相关系数,并将该相关系数确定为相邻两个端电压中的前一个端电压对应的电池组的检测系数;判断所有检测系数是否均高于设定阈值;若是,则确定动力电池内部未发生短路故障;若否,则将未高于设定阈值的检测系数所对应的电池组确定为发生短路故障的电池组。本发明通过构建闭合检测模型,一方面可以快速有效的检测电池的短路故障,保证动力电池的安全性;另一方面可以对所发生故障进行准确有效的定位,解决了当前动力电池内部短路检测的不准确、不稳定等问题。
The invention discloses a method and system for detecting an internal short circuit of a power battery. The method includes: collecting the terminal voltage of each battery pack in the power battery; connecting all terminal voltages in series to construct a closed detection model; calculating the voltage of each adjacent two terminals The correlation coefficient, and determine the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages; judge whether all detection coefficients are higher than the set threshold; if so, determine the power battery internal No short-circuit fault occurs; if not, the battery pack corresponding to the detection coefficient not higher than the set threshold is determined as the battery pack with short-circuit fault. By constructing a closed detection model, the present invention can quickly and effectively detect the short-circuit fault of the battery on the one hand and ensure the safety of the power battery; Inaccurate, unstable and other issues.
Description
技术领域technical field
本发明涉及动力电池技术领域,特别涉及一种动力电池内部短路检测方法及系统。The invention relates to the technical field of power batteries, in particular to a method and system for detecting short circuits inside a power battery.
背景技术Background technique
动力电池在电动汽车上已得到了广泛的应用,动力电池的安全可靠性直接关系到电动汽车的安全使用。动力电池应用受其特性的影响,对环境温度、使用方法等方面都有特殊的要求,在应用过程中不仅要保证其运行在良好的温度环境,同时也要设定合理的使用方法以及检测方法,合理的使用方法保证动力电池的最大使用性能,而检测方法确保动力电池出现问题时能及时发现,以免造成更大的动力电池损坏甚至造成电池安全事故。Power batteries have been widely used in electric vehicles, and the safety and reliability of power batteries are directly related to the safe use of electric vehicles. The application of power batteries is affected by its characteristics, and has special requirements for ambient temperature and usage methods. In the application process, it is not only necessary to ensure that it operates in a good temperature environment, but also to set a reasonable usage method and detection method. , The reasonable use method ensures the maximum performance of the power battery, and the detection method ensures that the power battery can be found in time when there is a problem, so as to avoid causing greater damage to the power battery or even battery safety accidents.
动力电池内短路是动力电池使用过程中一种关系安全的问题,造成动力电池内短路的可能有以下几点:第一,动力电池在低温情况下充电,由动力电池性能决定,如在低温充电,电池容易形成结晶,日积月累结晶增长刺破电池隔膜,这就造成动力电池内短路;第二,在动力电池过充或过放电的情况下,造成离子的不可逆,在长期的积累过程中,也会造成动力电池内短路。The internal short circuit of the power battery is a safety-related problem during the use of the power battery. The following points may cause the internal short circuit of the power battery: First, the power battery is charged at low temperature, which is determined by the performance of the power battery, such as charging at low temperature , the battery is easy to form crystals, and the cumulative growth of crystals will pierce the battery diaphragm, which will cause a short circuit in the power battery; second, in the case of overcharge or overdischarge of the power battery, it will cause irreversible ions. It will cause a short circuit in the power battery.
由于动力电池一般都是单个封装,对其内短路的检测没有可以直接实施的方法,在使用过程中一般都采取定期维护的方法,定期对动力电池进行检测。比如,设定一定使用时间,对动力电池进行全充全放电,通过设备采集分析电池数据,对可疑电池(电池容量下降等)进行人工维护。Since the power battery is generally packaged in a single package, there is no direct method to detect the internal short circuit. In the process of use, the method of regular maintenance is generally adopted to regularly test the power battery. For example, set a certain use time, fully charge and fully discharge the power battery, collect and analyze battery data through equipment, and perform manual maintenance on suspicious batteries (battery capacity decline, etc.).
发明内容Contents of the invention
本发明的目的是提供一种动力电池内部短路检测方法及系统,创新性地将电池组所采集的端电压数据设计为一个闭环系统,弥补了当前动力电池内部短路检测方法的不足,简化了传统电路故障检测所需要的硬件设施,降低了设备成本,拓展应用范围,同时本发明简单易实现的优点保证动力电池在使用过程中的可靠性及安全性。The purpose of the present invention is to provide a method and system for internal short-circuit detection of a power battery. The terminal voltage data collected by the battery pack is innovatively designed as a closed-loop system, which makes up for the shortcomings of the current detection method for an internal short-circuit of a power battery and simplifies the traditional The hardware facilities required for circuit fault detection reduce the equipment cost and expand the scope of application. Meanwhile, the advantages of the present invention being simple and easy to implement ensure the reliability and safety of the power battery during use.
为实现上述目的,本发明提供了如下方案:To achieve the above object, the present invention provides the following scheme:
一种动力电池内部短路检测方法,所述动力电池内部短路检测方法包括:A method for detecting an internal short circuit of a power battery, the method for detecting an internal short circuit of a power battery includes:
采集动力电池中每个电池组的端电压;所述动力电池包括n个所述电池组;Collect the terminal voltage of each battery pack in the power battery; the power battery includes n battery packs;
判断每个所述端电压是否大于电压阈值,得到第一判断结果;judging whether each of the terminal voltages is greater than a voltage threshold, and obtaining a first judging result;
若所述第一判断结果表示所述端电压大于所述电压阈值,则判断所有大于所述电压阈值的所述端电压的持续时间是否大于预设时间,得到第二判断结果;If the first judgment result indicates that the terminal voltage is greater than the voltage threshold, it is judged whether the duration of all the terminal voltages greater than the voltage threshold is greater than a preset time, and a second judgment result is obtained;
若所述第一判断结果表示所有所述端电压均小于等于所述电压阈值,则将所有所述端电压串联,构建闭合检测模型;所述闭合检测模型包括n个所述端电压,且第一个电池组的端电压还与最后一个电池组的端电压相连接;If the first judgment result indicates that all the terminal voltages are less than or equal to the voltage threshold, then connect all the terminal voltages in series to construct a closed detection model; the closed detection model includes n terminal voltages, and the first The terminal voltage of one battery pack is also connected to the terminal voltage of the last battery pack;
若所述第二判断结果表示大于所述电压阈值的所述端电压的持续时间大于预设时间,则确定所述动力电池发生故障;If the second judgment result indicates that the duration of the terminal voltage greater than the voltage threshold is greater than a preset time, then it is determined that the power battery is faulty;
若所述第二判断结果表示所有大于所述电压阈值的所述端电压的持续时间小于等于所述预设时间,则将所有所述端电压串联,构建闭合检测模型;If the second judgment result indicates that the duration of all the terminal voltages greater than the voltage threshold is less than or equal to the preset time, connecting all the terminal voltages in series to construct a closed detection model;
计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数;calculating a correlation coefficient between every adjacent two terminal voltages, and determining the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage among the two adjacent terminal voltages;
判断所有所述检测系数是否均高于设定阈值,得到第三判断结果;judging whether all the detection coefficients are higher than a set threshold, and obtaining a third judging result;
若所述第三判断结果表示所有所述检测系数均高于所述设定阈值,则确定所述动力电池内部未发生短路故障;If the third judgment result indicates that all the detection coefficients are higher than the set threshold, it is determined that no short-circuit fault occurs inside the power battery;
若所述第三判断结果表示所有所述检测系数未均高于所述设定阈值,则将未高于所述设定阈值的所述检测系数所对应的电池组确定为发生短路故障的电池组,并保存发生短路故障的电池组的端电压。If the third judgment result indicates that all the detection coefficients are not higher than the set threshold, then determine the battery pack corresponding to the detection coefficient that is not higher than the set threshold as the battery that has a short-circuit fault group, and save the terminal voltage of the battery pack that has a short-circuit fault.
可选的,所述计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数,具体包括:Optionally, the calculation of the correlation coefficient between each adjacent two terminal voltages, and determining the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages, Specifically include:
采用相关系数算法,计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。A correlation coefficient algorithm is used to calculate the correlation coefficient between every two adjacent terminal voltages, and determine the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage among the two adjacent terminal voltages.
可选的,所述设定阈值为0.75。Optionally, the set threshold is 0.75.
可选的,所述电压阈值的范围为2.0V~3.65V。Optionally, the voltage threshold ranges from 2.0V to 3.65V.
可选的,所述预设时间为1分钟。Optionally, the preset time is 1 minute.
本发明还提供了一种动力电池内部短路检测系统,所述动力电池内部短路检测系统包括:The present invention also provides a power battery internal short circuit detection system, the power battery internal short circuit detection system includes:
端电压采集模块,用于采集动力电池中每个电池组的端电压;所述动力电池包括n个所述电池组;A terminal voltage collection module, configured to collect the terminal voltage of each battery pack in the power battery; the power battery includes n battery packs;
第一判断结果得到模块,用于判断每个所述端电压是否大于电压阈值,得到第一判断结果;A first judgment result obtaining module, configured to judge whether each of the terminal voltages is greater than a voltage threshold, and obtain a first judgment result;
第二判断结果得到模块,用于当所述第一判断结果表示所述端电压大于所述电压阈值时,判断所有大于所述电压阈值的所述端电压的持续时间是否大于预设时间,得到第二判断结果;The second judgment result obtaining module is configured to judge whether the duration of all the terminal voltages greater than the voltage threshold is greater than a preset time when the first judgment result indicates that the terminal voltage is greater than the voltage threshold, and obtain second judgment result;
闭合检测模型构建模块,用于当所述第一判断结果表示所有所述端电压均小于等于所述电压阈值或所述第二判断结果表示所有大于所述电压阈值的所述端电压的持续时间小于等于所述预设时间时,将所有所述端电压串联,构建闭合检测模型;所述闭合检测模型包括n个所述端电压,且第一个电池组的端电压还与最后一个电池组的端电压相连接;A closure detection model building block, used for when the first judgment result indicates that all the terminal voltages are less than or equal to the voltage threshold or the second judgment result indicates that the duration of all the terminal voltages is greater than the voltage threshold When it is less than or equal to the preset time, all the terminal voltages are connected in series to construct a closed detection model; the closed detection model includes n terminal voltages, and the terminal voltage of the first battery pack is also related to the terminal voltage of the last battery pack The terminal voltage is connected;
动力电池发生故障确定模块,用于当所述第二判断结果表示大于所述电压阈值的所述端电压的持续时间大于预设时间时,确定所述动力电池发生故障;A power battery failure determination module, configured to determine that the power battery has a failure when the second judgment result indicates that the duration of the terminal voltage greater than the voltage threshold is longer than a preset time;
相关系数计算模块,用于计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数;A correlation coefficient calculation module, configured to calculate a correlation coefficient between every two adjacent terminal voltages, and determine the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages ;
第三判断结果得到模块,用于判断所有所述检测系数是否均高于设定阈值,得到第三判断结果;A third judging result obtaining module, configured to judge whether all the detection coefficients are higher than a set threshold, and obtain a third judging result;
动力电池内部未发生短路故障确定模块,用于当所述第三判断结果表示所有所述检测系数均高于所述设定阈值时,确定所述动力电池内部未发生短路故障;A determination module that no short-circuit fault occurs inside the power battery, configured to determine that no short-circuit fault occurs inside the power battery when the third judgment result indicates that all the detection coefficients are higher than the set threshold;
发生短路故障电池组确定模块,用于当所述第三判断结果表示所有所述检测系数未均高于所述设定阈值时,将未高于所述设定阈值的所述检测系数所对应的电池组确定为发生短路故障的电池组,并保存发生短路故障的电池组的端电压。A battery pack determination module where a short-circuit fault occurs, for when the third judgment result indicates that all the detection coefficients are not higher than the set threshold, set the detection coefficients corresponding to the detection coefficients that are not higher than the set threshold The battery pack is determined as a short-circuit faulty battery pack, and the terminal voltage of the short-circuit faulty battery pack is saved.
可选的,所述相关系数计算模块,具体包括:Optionally, the correlation coefficient calculation module specifically includes:
相关系数计算单元,用于采用相关系数算法,计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。A correlation coefficient calculation unit, configured to use a correlation coefficient algorithm to calculate a correlation coefficient between each adjacent two terminal voltages, and determine the correlation coefficient as the corresponding value of the previous terminal voltage among the two adjacent terminal voltages The detection coefficient of the battery pack.
根据本发明提供的具体实施例,本发明公开了以下技术效果:According to the specific embodiments provided by the invention, the invention discloses the following technical effects:
本发明提供了一种动力电池内部短路检测方法及系统,该测方法包括:采集动力电池中每个电池组的端电压;所述动力电池包括n个所述电池组;判断每个所述端电压是否大于电压阈值,得到第一判断结果;若所述第一判断结果表示所述端电压大于所述电压阈值,则判断所有大于所述电压阈值的所述端电压的持续时间是否大于预设时间,得到第二判断结果;若所述第一判断结果表示所有所述端电压均小于等于所述电压阈值,则将所有所述端电压串联,构建闭合检测模型;所述闭合检测模型包括n个所述端电压,且第一个电池组的端电压还与最后一个电池组的端电压相连接;若所述第二判断结果表示大于所述电压阈值的所述端电压的持续时间大于预设时间,则确定所述动力电池发生故障;若所述第二判断结果表示所有大于所述电压阈值的所述端电压的持续时间小于等于所述预设时间,则将所有所述端电压串联,构建闭合检测模型;计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数;判断所有所述检测系数是否均高于设定阈值,得到第三判断结果;若所述第三判断结果表示所有所述检测系数均高于所述设定阈值,则确定所述动力电池内部未发生短路故障;若所述第三判断结果表示所有所述检测系数未均高于所述设定阈值,则将未高于所述设定阈值的所述检测系数所对应的电池组确定为发生短路故障的电池组,并保存发生短路故障的电池组的端电压。本发明通过构建闭合检测模型,一方面可以快速有效的检测电池的短路故障,保证动力电池的安全性;另一方面可以对所发生故障进行准确有效的定位,解决了当前动力电池内部短路检测的不准确、不稳定等问题。The present invention provides a power battery internal short circuit detection method and system. The detection method includes: collecting the terminal voltage of each battery group in the power battery; the power battery includes n said battery groups; judging the voltage of each said terminal Whether the voltage is greater than the voltage threshold, obtain a first judgment result; if the first judgment result indicates that the terminal voltage is greater than the voltage threshold, then judge whether the duration of all the terminal voltages greater than the voltage threshold is greater than a preset time, obtain the second judgment result; if the first judgment result indicates that all the terminal voltages are less than or equal to the voltage threshold, all the terminal voltages are connected in series to build a closed detection model; the closed detection model includes n the terminal voltage, and the terminal voltage of the first battery pack is also connected to the terminal voltage of the last battery pack; if the second judgment result indicates that the duration of the terminal voltage greater than the voltage threshold is longer than the predetermined time If the time is set, it is determined that the power battery has failed; if the second judgment result indicates that the duration of all the terminal voltages greater than the voltage threshold is less than or equal to the preset time, then all the terminal voltages are connected in series , constructing a closure detection model; calculating a correlation coefficient between every adjacent two terminal voltages, and determining the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages; judging whether all the detection coefficients are higher than the set threshold, and obtaining a third judgment result; if the third judgment result indicates that all the detection coefficients are higher than the set threshold, then it is determined that the power battery is not A short-circuit fault occurs; if the third judgment result indicates that all the detection coefficients are not higher than the set threshold value, then determine the battery pack corresponding to the detection coefficient that is not higher than the set threshold value as having occurred short-circuit faulty battery pack, and save the terminal voltage of the short-circuit faulty battery pack. By building a closed detection model, the present invention can quickly and effectively detect the short-circuit fault of the battery on the one hand, ensuring the safety of the power battery; Inaccurate, unstable and other issues.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.
图1为本发明实施例动力电池内部短路检测方法的流程示意图;Fig. 1 is a schematic flow chart of a method for detecting an internal short circuit of a power battery according to an embodiment of the present invention;
图2为本发明实施例动力电池内部短路检测系统的结构示意图;Fig. 2 is a schematic structural diagram of a power battery internal short circuit detection system according to an embodiment of the present invention;
图3为本发明实施例采集锂离子动力电池各个端电压的装置的结构示意图;3 is a schematic structural diagram of a device for collecting voltages at each terminal of a lithium-ion power battery according to an embodiment of the present invention;
图4为本发明实施例锂离子动力电池闭环检测系统的结构示意图。FIG. 4 is a schematic structural diagram of a closed-loop detection system for a lithium-ion power battery according to an embodiment of the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
目前,已有一些关于电动汽车电池内部短路的方法被提出。例如,一种阈值检测方法,具体是在车辆再次运行或充电时,检测电池的最低电压是否低于设定值且持续预定时间,判断是否存在短路;又如通过应用最小二乘法计算电池单体的工作参数和查表函数确定电池的故障等级;再如基于阈值检测的方法,提出通过判断每个端电压与平均电压之间的偏差是否大于安全限制来判断电池是否存在内短路安全隐患。以上三个方法均存在以下缺点,首先它们不能消除采集噪声所带来的干扰,导致故障诊断效果不稳定;其次它们不能明确定位故障发生位置,需要后续人工检测,成本高、效率低;另外应用最小二乘法计算电池参数对采样数据要求较高,导致故障误判的发生。At present, some methods for the internal short circuit of electric vehicle batteries have been proposed. For example, a threshold value detection method, specifically, when the vehicle is running or charging again, detects whether the minimum voltage of the battery is lower than the set value and lasts for a predetermined time, and judges whether there is a short circuit; The working parameters and the look-up function determine the fault level of the battery; another example is based on the threshold detection method, which proposes to judge whether the battery has internal short circuit safety hazards by judging whether the deviation between each terminal voltage and the average voltage is greater than the safety limit. The above three methods all have the following disadvantages. First, they cannot eliminate the interference caused by the acquisition noise, resulting in unstable fault diagnosis results; second, they cannot clearly locate the fault location, requiring follow-up manual detection, which is costly and inefficient; The calculation of battery parameters by the least squares method requires high sampling data, which leads to misjudgment of faults.
因此,为了克服上述技术缺点,本发明提供了一种动力电池内部短路检测方法及系统,创新性地将电池组所采集的端电压数据设计为一个闭环系统,弥补了当前动力电池内部短路检测方法的不足,简化了传统电路故障检测所需要的硬件设施,降低了设备成本,拓展应用范围,同时本发明简单易实现的优点保证动力电池在使用过程中的可靠性及安全性。Therefore, in order to overcome the above-mentioned technical shortcomings, the present invention provides a power battery internal short-circuit detection method and system, which innovatively designs the terminal voltage data collected by the battery pack as a closed-loop system, making up for the current power battery internal short-circuit detection method. It simplifies the hardware facilities required for traditional circuit fault detection, reduces the equipment cost, and expands the scope of application. At the same time, the advantages of the invention are simple and easy to implement to ensure the reliability and safety of the power battery during use.
为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合附图和具体实施方式对本发明作进一步详细的说明。In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
以下结合附图,对本发明的锂离子动力电池内短路检测方法作进一步详细的说明。应当理解,此处所描述的具体实施例仅用以解释本发明并不用于限定本发明。需要说明的是,在不冲突的情况下,本申请中的实施例及实施例中的特征可以相互组合。The method for detecting short circuit in the lithium-ion power battery of the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention and not to limit the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.
实施例一Embodiment one
图1为本发明实施例动力电池内部短路检测方法的流程示意图,如图1所示,一种动力电池内部短路检测方法,所述动力电池内部短路检测方法具体包括以下几个步骤:Fig. 1 is a schematic flowchart of a method for detecting an internal short circuit of a power battery according to an embodiment of the present invention. As shown in Fig. 1 , a method for detecting an internal short circuit of a power battery, the method for detecting an internal short circuit of a power battery specifically includes the following steps:
步骤101:采集动力电池中每个电池组的端电压;所述动力电池包括n个所述电池组。Step 101: Collect the terminal voltage of each battery pack in the power battery; the power battery includes n battery packs.
步骤102:判断每个所述端电压是否大于电压阈值,得到第一判断结果;若所述第一判断结果表示所述端电压大于所述电压阈值,则执行步骤103;若所述第一判断结果表示所有所述端电压均小于等于所述电压阈值,则执行步骤104。Step 102: Judging whether each of the terminal voltages is greater than the voltage threshold, and obtaining a first judgment result; if the first judgment result indicates that the terminal voltage is greater than the voltage threshold, then perform step 103; if the first judgment If the result indicates that all the terminal voltages are less than or equal to the voltage threshold, step 104 is executed.
步骤103:判断所有大于所述电压阈值的所述端电压的持续时间是否大于预设时间,得到第二判断结果。若所述第二判断结果表示大于所述电压阈值的所述端电压的持续时间大于预设时间,则执行步骤105;若所述第二判断结果表示所有大于所述电压阈值的所述端电压的持续时间小于等于所述预设时间,则执行步骤104。Step 103: Judging whether the duration of all the terminal voltages greater than the voltage threshold is greater than a preset time, and obtaining a second judgment result. If the second judgment result indicates that the duration of the terminal voltage greater than the voltage threshold is greater than the preset time, then perform step 105; if the second judgment result indicates that all the terminal voltages are greater than the voltage threshold If the duration is less than or equal to the preset time, step 104 is executed.
步骤104:将所有所述端电压串联,构建闭合检测模型;所述闭合检测模型包括n个所述端电压,且第一个电池组的端电压还与最后一个电池组的端电压相连接。Step 104: Connect all the terminal voltages in series to build a closure detection model; the closure detection model includes n terminal voltages, and the terminal voltage of the first battery pack is also connected with the terminal voltage of the last battery pack.
步骤105:确定所述动力电池发生故障。Step 105: Determine that the power battery is faulty.
步骤106:计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。Step 106: Calculate the correlation coefficient between every two adjacent terminal voltages, and determine the correlation coefficient as the detection coefficient of the battery pack corresponding to the preceding one of the two adjacent terminal voltages.
步骤107:判断所有所述检测系数是否均高于设定阈值,得到第三判断结果;若所述第三判断结果表示所有所述检测系数均高于所述设定阈值,则执行步骤108;若所述第三判断结果表示所有所述检测系数未均高于所述设定阈值,则执行步骤109。Step 107: Judging whether all the detection coefficients are higher than the set threshold, and obtaining a third judgment result; if the third judgment result indicates that all the detection coefficients are higher than the set threshold, then perform step 108; If the third determination result indicates that all the detection coefficients are not higher than the set threshold, step 109 is executed.
步骤108:确定所述动力电池内部未发生短路故障。Step 108: Determine that no short circuit fault occurs inside the power battery.
步骤109:将未高于所述设定阈值的所述检测系数所对应的电池组确定为发生短路故障的电池组,并保存发生短路故障的电池组的端电压。Step 109: Determining the battery packs corresponding to the detection coefficients not higher than the set threshold as the battery packs with short-circuit faults, and storing the terminal voltages of the short-circuit faulty battery packs.
其中步骤106具体包括:Wherein step 106 specifically comprises:
采用相关系数算法,计算每相邻两个端电压的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。A correlation coefficient algorithm is used to calculate the correlation coefficient of every two adjacent terminal voltages, and determine the correlation coefficient as the detection coefficient of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages.
优选的,所述设定阈值为0.75。所述电压阈值的范围为2.0V~3.65V。所述预设时间为1分钟。Preferably, the set threshold is 0.75. The voltage threshold ranges from 2.0V to 3.65V. The preset time is 1 minute.
实施例二Embodiment two
为实现上述目的,本发明还提供了一种动力电池内部短路检测系统。To achieve the above object, the present invention also provides a detection system for internal short circuit of a power battery.
图2为本发明实施例动力电池内部短路检测系统的结构示意图,如图2所示,所述动力电池内部短路检测系统包括:Fig. 2 is a schematic structural diagram of a power battery internal short-circuit detection system according to an embodiment of the present invention. As shown in Fig. 2, the power battery internal short-circuit detection system includes:
端电压采集模块201,用于采集动力电池中每个电池组的端电压;所述动力电池包括n个所述电池组。The terminal voltage collection module 201 is used to collect the terminal voltage of each battery pack in the power battery; the power battery includes n battery packs.
第一判断结果得到模块202,用于判断每个所述端电压是否大于电压阈值,得到第一判断结果。The first judging result obtaining module 202 is configured to judge whether each of the terminal voltages is greater than a voltage threshold to obtain a first judging result.
第二判断结果得到模块203,用于当所述第一判断结果表示所述端电压大于所述电压阈值时,判断所有大于所述电压阈值的所述端电压的持续时间是否大于预设时间,得到第二判断结果。The second judgment result obtaining module 203 is configured to judge whether the duration of all the terminal voltages greater than the voltage threshold is greater than a preset time when the first judgment result indicates that the terminal voltage is greater than the voltage threshold, Get the second judgment result.
闭合检测模型构建模块204,用于当所述第一判断结果表示所有所述端电压均小于等于所述电压阈值或所述第二判断结果表示所有大于所述电压阈值的所述端电压的持续时间小于等于所述预设时间时,将所有所述端电压串联,构建闭合检测模型;所述闭合检测模型包括n个所述端电压,且第一个电池组的端电压还与最后一个电池组的端电压相连接。The closure detection model construction module 204 is configured to: when the first judgment result indicates that all the terminal voltages are less than or equal to the voltage threshold or the second judgment result indicates that all the terminal voltages greater than the voltage threshold continue When the time is less than or equal to the preset time, connect all the terminal voltages in series to build a closed detection model; the closed detection model includes n terminal voltages, and the terminal voltage of the first battery pack is also related to the terminal voltage of the last battery The terminal voltage of the group is connected.
动力电池发生故障确定模块205,用于当所述第二判断结果表示大于所述电压阈值的所述端电压的持续时间大于预设时间时,确定所述动力电池发生故障。The power battery failure determination module 205 is configured to determine that the power battery has a failure when the second judgment result indicates that the duration of the terminal voltage greater than the voltage threshold is longer than a preset time.
相关系数计算模块206,用于计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。A correlation coefficient calculation module 206, configured to calculate a correlation coefficient between every two adjacent terminal voltages, and determine the correlation coefficient as the detection of the battery pack corresponding to the previous terminal voltage of the two adjacent terminal voltages coefficient.
第三判断结果得到模块207,用于判断所有所述检测系数是否均高于设定阈值,得到第三判断结果。The third judging result obtaining module 207 is configured to judge whether all the detection coefficients are higher than a set threshold, and obtain a third judging result.
动力电池内部未发生短路故障确定模块208,用于当所述第三判断结果表示所有所述检测系数均高于所述设定阈值时,确定所述动力电池内部未发生短路故障。The determination module 208 that no short-circuit fault occurs inside the power battery is configured to determine that no short-circuit fault occurs inside the power battery when the third judgment result indicates that all the detection coefficients are higher than the set threshold.
发生短路故障电池组确定模块209,用于当所述第三判断结果表示所有所述检测系数未均高于所述设定阈值时,将未高于所述设定阈值的所述检测系数所对应的电池组确定为发生短路故障的电池组,并保存发生短路故障的电池组的端电压。The short-circuit failure battery pack determination module 209 is configured to: when the third judgment result indicates that all the detection coefficients are not higher than the set threshold, the detection coefficients that are not higher than the set threshold The corresponding battery pack is determined as a short-circuit faulty battery pack, and the terminal voltage of the short-circuit faulty battery pack is saved.
所述相关系数计算模块206,具体包括:The correlation coefficient calculation module 206 specifically includes:
相关系数计算单元,用于采用相关系数算法,计算每相邻两个端电压之间的相关系数,并将所述相关系数确定为所述相邻两个端电压中的前一个端电压对应的电池组的检测系数。A correlation coefficient calculation unit, configured to use a correlation coefficient algorithm to calculate a correlation coefficient between each adjacent two terminal voltages, and determine the correlation coefficient as the corresponding value of the previous terminal voltage among the two adjacent terminal voltages The detection coefficient of the battery pack.
优选的,所述设定阈值为0.75。所述电压阈值的范围为2.0V~3.65V。所述预设时间为1分钟。Preferably, the set threshold is 0.75. The voltage threshold ranges from 2.0V to 3.65V. The preset time is 1 minute.
实施例三Embodiment Three
本发明实施例提供了一种锂离子动力电池内短路检测方法,用于检测锂离子动力电池是否发生内短路现象,以避免导致严重的事故发生。An embodiment of the present invention provides a method for detecting an internal short circuit of a lithium ion power battery, which is used to detect whether an internal short circuit occurs in the lithium ion power battery, so as to avoid serious accidents.
图3为本发明实施例采集锂离子动力电池各个端电压的装置的结构示意图;如图3所示,由于该电动汽车所采用的锂离子动力电池包内装42个电池组,即采集42个端电压。由于电池组电压采集芯片最多检测12组电池组电压,因此需要四个电池组电压采集芯片,其中三个电池组电压采集芯片采集36个电池组电压,剩余的6个电池组还需要一个电池组电压采集芯片,所以这个电池组电压采集芯片检测该电池包里面的6个电池组的同时还需要检测另一个电池包里面的6个电池组电压。Fig. 3 is the structural schematic diagram of the device that collects each terminal voltage of lithium-ion power battery according to the embodiment of the present invention; As shown in Fig. Voltage. Since the battery pack voltage acquisition chip detects the voltage of 12 battery packs at most, four battery pack voltage acquisition chips are required, of which three battery pack voltage acquisition chips collect 36 battery pack voltages, and the remaining 6 battery packs also need a battery pack Voltage acquisition chip, so this battery pack voltage acquisition chip needs to detect the voltage of the 6 battery packs in another battery pack while detecting the 6 battery packs in the battery pack.
以一电动汽车的锂离子动力电池包及BnS电压方式为例,具体说明动力电池内短路检测步骤。Taking a lithium-ion power battery pack and BnS voltage mode of an electric vehicle as an example, the short-circuit detection steps in the power battery are described in detail.
第一步,BnS采集动力电池中每个电池组的端电压。In the first step, BnS collects the terminal voltage of each battery pack in the power battery.
第二步,判断该采集的端电压是否超过了电压阈值,若采集的端电压超过设置的电压阈值且持续时间大于预设时间,则进行故障报警;若采集的端电压在电压阈值内则电压正常,进行动力电池内短路检测。The second step is to judge whether the collected terminal voltage exceeds the voltage threshold. If the collected terminal voltage exceeds the set voltage threshold and the duration is longer than the preset time, a fault alarm will be issued; if the collected terminal voltage is within the voltage threshold, the voltage If it is normal, perform short circuit detection in the power battery.
第三步,根据采集到的第一个电池组的端电压值与第二个电池组的端电压值,采用相关系数算法,计算第一个电池组的相关系数,将第二个电池组的端电压值与第三个电池组的端电压值,计算第二对电池组的相关系数,以此类推,将最后一个电池组的端电压与第一个电池组的端电压值,计算最后一个电池组的相关系数,因此,整个检测过程形成了如图4所示的闭环检测系统。相关系数的个数与电池组端电压的个数一致。In the third step, according to the collected terminal voltage value of the first battery pack and the terminal voltage value of the second battery pack, the correlation coefficient algorithm is used to calculate the correlation coefficient of the first battery pack, and the correlation coefficient of the second battery pack is calculated. Calculate the correlation coefficient between the terminal voltage value of the third battery group and the terminal voltage value of the third battery group, and so on, calculate the last The correlation coefficient of the battery pack, therefore, the entire detection process forms a closed-loop detection system as shown in Figure 4. The number of correlation coefficients is consistent with the number of battery pack terminal voltages.
端电压为电池组两端的电压。预设值时间设置为1分钟,电压阈值设置为电池充放点截止电压,不同的电池材料该截止电压不同,本发明实施例中电池的电压阈值范围设置为[2.0V 3.65V]。The terminal voltage is the voltage across the battery pack. The preset time is set to 1 minute, and the voltage threshold is set to the cut-off voltage of the charging and discharging point of the battery. Different battery materials have different cut-off voltages. In the embodiment of the present invention, the voltage threshold range of the battery is set to [2.0V 3.65V].
BnS采集端电压{V1;V2;V3;…;Vn},对应于相关系数为{ICC1,2;ICC2,3;…;ICCn,1}。BnS acquisition terminal voltage {V1; V2; V3;...; Vn}, corresponding to the correlation coefficient is {ICC1,2; ICC2,3;...;ICCn,1}.
若相关系数ICCn,1及ICC1,2检测到故障问题,则可以快速定位到第一个电池组出现内短路故障,以此类推,若相关系数ICC5,6及ICC6,7检测到故障问题,则可以迅速定位到第六个电池组出现内短路故障。If the correlation coefficients ICCn,1 and ICC1,2 detect the fault problem, the internal short circuit fault of the first battery pack can be quickly located, and so on, if the correlation coefficient ICC5,6 and ICC6,7 detect the fault problem, then The internal short circuit fault of the sixth battery pack can be quickly located.
整体故障检测流程及基于相关系数电池组内短路检测方法如图1所示。The overall fault detection process and the short-circuit detection method in the battery pack based on the correlation coefficient are shown in Figure 1.
对于本例所实施的相关系数采用组内相关系数,根据该相关系数的原理,当系数值低于0.75时,认为该出现故障现象,高于0.75认为正常。For the correlation coefficient implemented in this example, the intragroup correlation coefficient is used. According to the principle of the correlation coefficient, when the coefficient value is lower than 0.75, it is considered that there is a malfunction, and if it is higher than 0.75, it is considered normal.
若电池包内各对电池组相关系数高于所设定阈值,则忽略电池的电压信息。若电池包内各对电池组相关系数低于所设定阈值,则保存电池的电压信息并发出故障报警,结束内短路检测流程。If the correlation coefficient of each pair of battery packs in the battery pack is higher than the set threshold, the voltage information of the battery is ignored. If the correlation coefficient of each pair of battery packs in the battery pack is lower than the set threshold, the voltage information of the battery is saved and a fault alarm is issued to end the internal short circuit detection process.
本说明书中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.
本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处。综上所述,本说明书内容不应理解为对本发明的限制。In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108983034A (en) * | 2018-10-26 | 2018-12-11 | 北京经纬恒润科技有限公司 | A kind of internal short-circuit detection method and device |
CN110376530A (en) * | 2019-08-08 | 2019-10-25 | 清华大学 | Battery internal short-circuit detection device and method |
CN111413629A (en) * | 2020-02-24 | 2020-07-14 | 上海蔚来汽车有限公司 | Short circuit monitoring method, system and device for single batteries in power battery |
CN111505532A (en) * | 2020-04-28 | 2020-08-07 | 上海理工大学 | Online detection method for early internal short circuit of series lithium battery pack based on SOC correlation coefficient |
CN112858932A (en) * | 2021-03-02 | 2021-05-28 | 欣旺达电动汽车电池有限公司 | Battery short circuit thermal runaway early warning device and method thereof |
CN113253151A (en) * | 2021-06-16 | 2021-08-13 | 上海芯龙半导体技术股份有限公司 | Short circuit detection circuit, short circuit protection circuit and chip |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100188054A1 (en) * | 2007-07-26 | 2010-07-29 | Jun Asakura | Battery internal short-circuit detecting device and method, battery pack, and electronic device system |
CN102565611A (en) * | 2011-12-27 | 2012-07-11 | 惠州市亿能电子有限公司 | Internal short-circuit detection method of power battery |
CN103176138A (en) * | 2013-02-15 | 2013-06-26 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack maintaining and detecting method |
JP2014002009A (en) * | 2012-06-18 | 2014-01-09 | Toyota Motor Corp | Method of inspecting secondary battery |
CN103682499A (en) * | 2013-12-23 | 2014-03-26 | 湖北工业大学 | Variable-frequency pulse charging method for lithium ion batteries of hybrid cars |
CN104614675A (en) * | 2014-12-31 | 2015-05-13 | 普天新能源车辆技术有限公司 | Power battery group consistency detection method and device |
CN104655973A (en) * | 2013-11-25 | 2015-05-27 | 艾默生网络能源有限公司 | Method and device for detecting battery module short circuit in UPS system |
CN105021994A (en) * | 2015-07-10 | 2015-11-04 | 华霆(合肥)动力技术有限公司 | Method and device for detecting consistency of single batteries in battery pack |
CN107831443A (en) * | 2017-10-20 | 2018-03-23 | 开沃新能源汽车集团有限公司 | Battery system short trouble diagnostic method based on coefficient correlation |
-
2018
- 2018-03-12 CN CN201810201571.XA patent/CN108445343B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100188054A1 (en) * | 2007-07-26 | 2010-07-29 | Jun Asakura | Battery internal short-circuit detecting device and method, battery pack, and electronic device system |
CN102565611A (en) * | 2011-12-27 | 2012-07-11 | 惠州市亿能电子有限公司 | Internal short-circuit detection method of power battery |
JP2014002009A (en) * | 2012-06-18 | 2014-01-09 | Toyota Motor Corp | Method of inspecting secondary battery |
CN103176138A (en) * | 2013-02-15 | 2013-06-26 | 中国南方电网有限责任公司调峰调频发电公司 | Battery pack maintaining and detecting method |
CN104655973A (en) * | 2013-11-25 | 2015-05-27 | 艾默生网络能源有限公司 | Method and device for detecting battery module short circuit in UPS system |
CN103682499A (en) * | 2013-12-23 | 2014-03-26 | 湖北工业大学 | Variable-frequency pulse charging method for lithium ion batteries of hybrid cars |
CN104614675A (en) * | 2014-12-31 | 2015-05-13 | 普天新能源车辆技术有限公司 | Power battery group consistency detection method and device |
CN105021994A (en) * | 2015-07-10 | 2015-11-04 | 华霆(合肥)动力技术有限公司 | Method and device for detecting consistency of single batteries in battery pack |
CN107831443A (en) * | 2017-10-20 | 2018-03-23 | 开沃新能源汽车集团有限公司 | Battery system short trouble diagnostic method based on coefficient correlation |
Non-Patent Citations (1)
Title |
---|
马军: "电动汽车动力电池配组工艺研究进展", 《第十四届中国科协年会第19分会场:电动汽车充放电技术研讨会论文集》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108983034A (en) * | 2018-10-26 | 2018-12-11 | 北京经纬恒润科技有限公司 | A kind of internal short-circuit detection method and device |
CN108983034B (en) * | 2018-10-26 | 2020-06-05 | 北京经纬恒润科技有限公司 | Internal short circuit detection method and device |
CN110376530A (en) * | 2019-08-08 | 2019-10-25 | 清华大学 | Battery internal short-circuit detection device and method |
CN110376530B (en) * | 2019-08-08 | 2020-06-30 | 清华大学 | Device and method for detecting short circuit in battery |
CN111413629A (en) * | 2020-02-24 | 2020-07-14 | 上海蔚来汽车有限公司 | Short circuit monitoring method, system and device for single batteries in power battery |
WO2021169487A1 (en) * | 2020-02-24 | 2021-09-02 | 上海蔚来汽车有限公司 | Short-circuit monitoring method, system and device for cells in power battery |
CN111413629B (en) * | 2020-02-24 | 2024-02-02 | 上海蔚来汽车有限公司 | Short circuit monitoring method, system and device for single battery in power battery |
CN111505532A (en) * | 2020-04-28 | 2020-08-07 | 上海理工大学 | Online detection method for early internal short circuit of series lithium battery pack based on SOC correlation coefficient |
CN112858932A (en) * | 2021-03-02 | 2021-05-28 | 欣旺达电动汽车电池有限公司 | Battery short circuit thermal runaway early warning device and method thereof |
CN113253151A (en) * | 2021-06-16 | 2021-08-13 | 上海芯龙半导体技术股份有限公司 | Short circuit detection circuit, short circuit protection circuit and chip |
CN113253151B (en) * | 2021-06-16 | 2021-10-01 | 上海芯龙半导体技术股份有限公司 | Short circuit detection circuit, short circuit protection circuit and chip |
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