Remote diagnosis method for electric bicycle rechargeable battery and charger faults

Abstract

The present invention relates to the field of charging management technology, and in particular to a remote diagnosis method for electric bicycle rechargeable batteries and charger faults, collecting electric bicycle charging information records; based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery, collecting the probability of failure in each acquisition cycle; based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, collecting the probability of charging speed trend satisfaction in each acquisition cycle; based on the synchronization of current fluctuation trend and the probability of charging speed trend satisfaction, collecting personalized clustering indicators for each acquisition cycle; and performing fault diagnosis on the charging information record of the rechargeable battery based on the personalized clustering indicators. The present invention provides powerful data support for battery fault analysis, strengthens the data integration capability and analysis depth of the system, solves the limitations of the prior art in charger or battery detection, and improves the reliability and convenience of judgment.

Description

Technical Field

[0001] The invention relates to the technical field of charging management, and in particular to a remote diagnosis method for faults of a rechargeable battery and a charger of an electric bicycle. Background Art

[0002] Application of Internet of Things: Promotion and use of Internet of Things technology As a new trend in global information development, Internet of Things technology has been listed as a key research area by the Chinese government. Its application in the field of electric bicycles - through real-time monitoring, data transmission and intelligent analysis, it can provide all-round monitoring and management for electric bicycles, thereby improving charging safety.

[0003] Hidden dangers of electric bicycle charging: Electric bicycle charging is distributed in different places, such as greenhouses, corridors or underground garages, which are messy and close to flammable materials. It is very easy to cause fire. Electric bicycle charging fire accidents are mainly caused by battery failure, charger aging and modified batteries. Fires are highly concealed, difficult to extinguish, and cause heavy casualties. It has become one of the safety issues that has received great attention in recent years.

[0004] Electric bicycle charging safety detection technology: At present, electric bicycle charging safety detection technology includes: establishing a charging electrical safety hazard model, extracting time-frequency features based on multi-resolution wavelet transform and formulating mixed criteria, using wavelet packets to analyze arc features and constructing time-frequency feature planes to detect charging electrical safety hazards, and using EEMD decomposition and fuzzy baking to extract charging electrical safety hazard features. However, the above methods have high requirements on signal processing algorithms and sampling rates, and are not simple and efficient. Therefore, the current charger and battery fault detection technology on the market still mainly relies on manual detection and maintenance, which is not only inefficient, but also prone to missed detection and misjudgment.

[0005] Insufficient management of electric bicycle charging: There are a large number of electric bicycles, but the charging management facilities are not sound, making it difficult to manage the charging of electric bicycles. At present, most communities have built centralized charging points, but the supervision measures are limited to traditional means such as explicit regulations and posted warnings. There is a lack of real-time monitoring and effective tracking methods, making it difficult to detect home charging behavior, and it is impossible to effectively monitor battery failures and aging. It is urgent to introduce advanced supervision technologies and means to achieve real-time monitoring and management of charging behavior and equipment status. Summary of the invention

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] According to a first aspect of the present invention, the present invention claims protection for a remote diagnosis method for a fault of an electric bicycle rechargeable battery and a charger, the method comprising the following steps:

[0008] Collecting electric bicycle charging information records; the electric bicycle charging information records include charging information records of electric bicycle chargers and charging information records of multiple rechargeable batteries; the charging information records of rechargeable batteries and the charging information records of electric bicycle chargers include charging information of multiple acquisition cycles;

[0009] Based on the difference of charging information between different acquisition cycles in the charging information record of each rechargeable battery, the failure probability of each acquisition cycle is collected;

[0010] Based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, the probability of satisfying the charging speed trend in each acquisition cycle is collected; based on the probability of satisfying the charging speed trend, the importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery is collected; based on the importance priority value and the failure probability, the synchronization of the current fluctuation trend in each acquisition cycle is collected;

[0011] Based on the probability of current fluctuation trend synchronization and charging speed trend satisfying, the personalized clustering index of each acquisition cycle is collected; and the charging information record of the rechargeable battery is used for fault diagnosis based on the personalized clustering index.

[0012] Furthermore, the method of collecting the failure probability of each acquisition cycle based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery includes the following specific methods:

[0013] For the charging information record of the i-th rechargeable battery, collect the average value record of the charging information record of the i-th rechargeable battery, and collect the mean square error record of the charging information record of the i-th rechargeable battery;

[0014] Based on the average value record and the mean square error record of the charging information record of the i-th rechargeable battery, collecting the fault priority value of the j-th acquisition cycle in the charging information record of the i-th rechargeable battery;

[0015] The fault priority values ​​of all acquisition cycles in the charging information record of the i-th rechargeable battery are collected, and each fault priority value after all the fault priority values ​​are linearly normalized represents the fault probability.

[0016] Further, the method of collecting the fault priority value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery based on the average value record and the mean square error record of the charging information record of the i-th rechargeable battery includes the following specific methods:

[0017] The quotient of the average value of the jth acquisition cycle in the charging information record of the ith rechargeable battery and the mean square error value of the jth acquisition cycle in the charging information record of the ith rechargeable battery represents the fault priority value of the jth acquisition cycle in the charging information record of the ith rechargeable battery.

[0018] Furthermore, based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, the charging speed trend satisfaction probability of each acquisition cycle is collected, and the specific method includes:

[0019] For the jth acquisition cycle in the charging information record of the i-th rechargeable battery; collecting the overall charging information inside the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery;

[0020] The calculation method for collecting the charging information record of the i-th rechargeable battery and the probability of the charging speed trend satisfying the j-th acquisition cycle is:

[0021] R i，j =exp(-|(Tz i，j -T0 j )×T″ i，j |)

[0022] In the formula, R i，j Tz represents the probability of satisfying the charging speed trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; i，j T0 represents the overall charging information of the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; j Indicates the charging information of the jth acquisition cycle in the charging information record of the electric bicycle charger; T″ i，j It represents the mean square error value of the j-th acquisition cycle in the charging information record of the i-th rechargeable battery.

[0023] Furthermore, the collecting of the overall charging information of the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery includes the following specific methods:

[0024] The trend items of each acquisition cycle in the charging information records of all rechargeable batteries are collected; the average of the trend items of the j-th acquisition cycle in the charging information records of all rechargeable batteries represents the overall charging information inside the electric bicycle of the j-th acquisition cycle in the charging information records of the ith rechargeable battery.

[0025] Furthermore, the method of collecting the importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery based on the charging speed trend satisfaction probability includes the following specific methods:

[0026] Based on the probability of satisfying the charging speed trend of the period obtained in the charging information record of the kth rechargeable battery, collecting the importance weight probability of the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery;

[0027] The importance weight probabilities of the charging information records of all rechargeable batteries to the charging information record of the i-th rechargeable battery are collected, and each importance weight probability after linearly normalizing all importance weight probabilities represents an importance priority value.

[0028] Further, the obtaining of the probability of satisfying the charging speed trend of the cycle in the charging information record of the kth rechargeable battery and collecting the importance weight probability of the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery includes the following specific methods:

[0029] A length index is configured; the standard deviation of the charging information record of the k-th rechargeable battery and the charging information record of the ith rechargeable battery is represented as a first standard deviation; the product of the mean of the charging speed trend satisfaction probability of all acquisition cycles in the charging information record of the k-th rechargeable battery and the first standard deviation is represented as a first product; the length between the k-th rechargeable battery and the ith rechargeable battery is represented as a first length; the quotient of the length index and the first length is represented as a first quotient; the product of the first product and the first quotient represents the importance weight probability of the charging information record of the k-th rechargeable battery to the charging information record of the ith rechargeable battery.

[0030] Furthermore, the current fluctuation trend synchronization of each acquisition cycle is collected based on the importance priority value and the fault probability, and the specific method includes:

[0031] For the jth acquisition cycle in the charging information record of the i-th rechargeable battery, collecting the average current fault level of the j-th acquisition cycle;

[0032] The calculation method for the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery is:

[0033]

[0034] In the formula, ST i，j represents the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; N represents the total number of all rechargeable batteries; Q l，i represents the importance priority value of the charging information record of the lth rechargeable battery to the charging information record of the ith rechargeable battery; E i，j E1 represents the failure probability of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; i，jrepresents the average current fault level of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; E l，j E1 represents the failure probability of the jth acquisition cycle in the charging information record of the lth rechargeable battery; l，j represents the average current fault level of the jth acquisition cycle in the charging information record of the lth rechargeable battery; T″ i，j represents the mean square error value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; T″ l，j It represents the mean square error value of the j-th acquisition cycle in the charging information record of the l-th rechargeable battery.

[0035] Furthermore, the acquisition of the average current fault level of the jth acquisition cycle includes the following specific methods:

[0036] A quantity index h is configured, and the h acquisition cycles before the j-th acquisition cycle are all represented as reference acquisition cycles of the j-th acquisition cycle; the average of the failure probabilities of the reference acquisition cycles of all the j-th acquisition cycles is represented as the average current failure level of the j-th acquisition cycle.

[0037] Furthermore, based on the current fluctuation trend synchronization and the charging speed trend satisfaction probability, the personalized clustering index of each acquisition cycle is collected, including the specific method of:

[0038] An initial range index is configured. For the j-th acquisition cycle in the charging information record of the ith rechargeable battery, the product of the probability of current fluctuation trend synchronization in the j-th acquisition cycle and the charging speed trend in the j-th acquisition cycle being satisfied is expressed as a corrected priority value for the j-th acquisition cycle. The corrected priority values ​​of all acquisition cycles in the charging information record of the ith rechargeable battery are collected, and each corrected priority value after linear normalization of all corrected priority values ​​is expressed as a correction index. The product of the initial range index and the correction index of the j-th acquisition cycle is expressed as a personalized clustering index for the j-th acquisition cycle.

[0039] The present invention relates to the field of charging management technology, and in particular to a remote diagnosis method for electric bicycle rechargeable batteries and charger faults, collecting electric bicycle charging information records; based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery, collecting the probability of failure in each acquisition cycle; based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, collecting the probability of charging speed trend satisfaction in each acquisition cycle; based on the synchronization of current fluctuation trend and the probability of charging speed trend satisfaction, collecting personalized clustering indicators for each acquisition cycle; and performing fault diagnosis on the charging information record of the rechargeable battery based on the personalized clustering indicators. The present invention provides powerful data support for battery fault analysis, strengthens the data integration capability and analysis depth of the system, solves the limitations of the prior art in charger or battery detection, and improves the reliability and convenience of judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flowchart of a remote diagnosis method for faults of a rechargeable battery and a charger for an electric bicycle claimed in an embodiment of the present invention;

[0041] Figure 2 This is a schematic diagram of a charging data curve claimed in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0044] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0045] The specific scheme of the remote diagnosis method for electric bicycle rechargeable battery and charger faults provided by the present invention is described in detail below with reference to the accompanying drawings.

[0046] See also Figure 1 , which shows a flowchart of a method for remote diagnosis of faults of an electric bicycle rechargeable battery and a charger provided by an embodiment of the present invention, the method comprising the following steps:

[0047] Step S001: collecting charging information records of electric bicycles; the charging information records of electric bicycles include charging information records of electric bicycle chargers and charging information records of multiple rechargeable batteries; the charging information records of rechargeable batteries and the charging information records of electric bicycle chargers include charging information of multiple acquisition cycles.

[0048] Specifically, we first need to collect the charging information records of electric bicycles. The specific process is as follows:

[0049] A length indicator cd is configured, wherein this embodiment is described by taking cd=6 cm as an example, and this embodiment is not specifically limited, wherein cd is determined based on specific implementation conditions.

[0050] On the pedal inside the electric bicycle, a rechargeable battery is arranged at an interval of cd and a current sensor is installed; for any rechargeable battery, the current sensor is used to collect the charging information of the rechargeable battery at intervals of 1 second, and the data record formed by the charging information of all acquisition cycles of the current rechargeable battery represents the charging information record of the rechargeable battery; then the charging information records of all rechargeable batteries are collected; a rechargeable battery is randomly arranged in the electric bicycle charger and a current sensor is installed, and the current sensor is used to collect the charging information of the rechargeable battery at intervals of 1 second, and the data record formed by the charging information of all acquisition cycles of the current rechargeable battery represents the charging information record of the electric bicycle charger; the collection consisting of the charging information records of all rechargeable batteries and the charging information records of the electric bicycle charger represents the charging information record of the electric bicycle.

[0051] The electric bicycle charging information record includes the charging information record of the electric bicycle charger and the charging information records of multiple rechargeable batteries; the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger include charging information of multiple acquisition cycles.

[0052] So far, the charging information record of the electric bicycle is obtained through the above method.

[0053] Step S002: Based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery, the failure probability of each acquisition cycle is collected.

[0054] It should be noted that for any rechargeable battery, the current is relatively stable. When the current in the electric bicycle fluctuates, the fluctuation of the current is also regular and slow. Therefore, in any acquisition cycle in the charging information record of the rechargeable battery, the greater the difference between the charging information of the acquisition cycle and the charging information of other surrounding acquisition cycles, the faster the fluctuation of the charging information, and the more faulty the charging information of the acquisition cycle.

[0055] Specifically, for the charging information record of the i-th rechargeable battery, an average value record of the charging information record of the i-th rechargeable battery is collected, and a mean square error record of the charging information record of the i-th rechargeable battery is collected.

[0056] Among them, the average value record and the mean square error record of the collected records are well-known contents, and are not described in detail in this embodiment.

[0057] Based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery, the failure probability of each acquisition cycle in the charging information record of each rechargeable battery is collected.

[0058] As an example, the calculation method of the fault priority value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery is:

[0059]

[0060] In the formula, E i，j represents the fault priority value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; T′ i，j represents the average value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; T″ i，j represents the mean square error value of the jth acquisition cycle in the charging information record of the ith rechargeable battery; ε represents the configured excess index, and the present implementation configures ε=1 to prevent the denominator from being 0.

[0061] Further, the fault priority values ​​of all acquisition cycles in the charging information record of the i-th rechargeable battery are collected, and each fault priority value after all the fault priority values ​​are linearly normalized represents the fault probability.

[0062] It should be noted that, the larger the average value of the j-th acquisition cycle in the charging information record of the ith rechargeable battery, the faster the charging information of the j-th acquisition cycle fluctuates, and the more faulty the charging information of the j-th acquisition cycle is; the larger the mean square error value of the j-th acquisition cycle in the charging information record of the ith rechargeable battery, the greater the difference in the fluctuation rate of the charging information of the j-th acquisition cycle, which means that the charging information of the j-th acquisition cycle is likely to fluctuate, and the smaller the fault probability of the charging information of the j-th acquisition cycle is.

[0063] So far, the failure probability of each acquisition cycle in the charging information record of each rechargeable battery is obtained through the above method.

[0064] Step S003: Based on the difference between the charging information records of the rechargeable battery and the charging information records of the electric bicycle charger, collect the probability of satisfaction of the charging speed trend in each acquisition cycle; based on the probability of satisfaction of the charging speed trend, collect the importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery; based on the importance priority value and the failure probability, collect the synchronization of the current fluctuation trend in each acquisition cycle.

[0065] The charging speed trend of each acquisition cycle in the charging information record of each rechargeable battery is collected to meet the probability.

[0066] Specifically, the trend items of each acquisition cycle in the charging information records of all rechargeable batteries are collected; for the j-th acquisition cycle in the charging information record of the ith rechargeable battery; the average of the trend items of the j-th acquisition cycle in the charging information records of all rechargeable batteries represents the overall charging information of the electric bicycle in the j-th acquisition cycle in the charging information record of the ith rechargeable battery.

[0067] Based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, the charging speed trend satisfaction probability of each acquisition cycle in the charging information record of each rechargeable battery is collected.

[0068] As an example, the calculation method of the probability of satisfying the charging speed trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery is:

[0069] R i，j =exp(-|(Tz i，j -T0 j )×T″ i，j |)

[0070] In the formula, R i，j Tz represents the probability of satisfying the charging speed trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; i，j T0 represents the overall charging information of the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; j Indicates the charging information of the jth acquisition cycle in the charging information record of the electric bicycle charger; T″ i，j represents the mean square error value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; x is the input of the model.

[0071] At this point, the probability of the charging speed trend satisfying each acquisition cycle in the charging information record of each rechargeable battery is obtained.

[0072] The importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery is collected.

[0073] Specifically, based on the charging speed trend satisfaction probability, the importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery is collected.

[0074] As an example, the calculation method of the importance weight probability of collecting the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery is:

[0075]

[0076] Q k，irepresents the importance weight probability of the charging information record of the k-th rechargeable battery to the charging information record of the ith rechargeable battery; represents the mean value of the probability of the charging speed trend satisfying all the acquisition cycles in the charging information record of the kth rechargeable battery; T i represents the charging information record of the i-th rechargeable battery; T k represents the charging information record of the kth rechargeable battery; cov(T k , T i ) represents the standard deviation between the charging information record of the kth rechargeable battery and the charging information record of the ith rechargeable battery; d k，i represents the length between the kth rechargeable battery and the ith rechargeable battery; cd represents the configured length index.

[0077] Furthermore, the importance weight probabilities of the charging information records of all rechargeable batteries to the charging information record of the i-th rechargeable battery are collected, and each importance weight probability after linear normalization of all importance weight probabilities represents an importance priority value.

[0078] At this point, the importance priority value of each rechargeable battery's charging information record to each other rechargeable battery's charging information record is obtained.

[0079] Collect the charging information of each rechargeable battery and record the current fluctuation trend synchronization in each acquisition cycle.

[0080] It should be noted that the stronger the synchronization of current distribution between the rechargeable batteries, if multiple rechargeable batteries have current faults in the same acquisition cycle, it means that the current fault is more likely to be caused by the power supply, and the probability of current fault at this time should be lower; in addition, the more consistent the trend of charging information records between the rechargeable batteries, the more likely the current fault is caused by the charger connection line, and the probability of current fault at this time should also be lower.

[0081] A quantity index h is configured, wherein this embodiment is described by taking h=600 as an example, and this embodiment is not specifically limited, wherein h is determined based on specific implementation conditions.

[0082] Specifically, for the jth acquisition cycle in the charging information record of the i-th rechargeable battery, the h acquisition cycles before the j-th acquisition cycle are all represented as reference acquisition cycles of the j-th acquisition cycle; the average of the failure probabilities of the reference acquisition cycles of all j-th acquisition cycles is represented as the average current failure level of the j-th acquisition cycle.

[0083] If the number of all acquisition cycles before the j-th acquisition cycle is less than h, all acquisition cycles before the j-th acquisition cycle are regarded as reference acquisition cycles for the j-th acquisition cycle.

[0084] Based on the importance priority value and the failure probability, the current fluctuation trend synchronization of each acquisition cycle in the charging information record of each rechargeable battery is collected.

[0085] As an example, the calculation method of the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery is:

[0086]

[0087] In the formula, ST i，j represents the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; N represents the total number of all rechargeable batteries; Q l，i represents the importance priority value of the charging information record of the lth rechargeable battery to the charging information record of the ith rechargeable battery; E i，j E1 represents the failure probability of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; i，j represents the average current fault level of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; E l，j E1 represents the failure probability of the jth acquisition cycle in the charging information record of the lth rechargeable battery; l，j represents the average current fault level of the jth acquisition cycle in the charging information record of the lth rechargeable battery; T″ i，j represents the mean square error value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; T″ l，j represents the mean square error value of the jth acquisition cycle in the charging information record of the lth rechargeable battery; x is the input of the model.

[0088] It should be noted that Indicates the similarity of the fault distribution of rechargeable battery i and rechargeable battery l in acquisition cycle j. The smaller the value, the more consistent the current fluctuation trend of rechargeable battery i and rechargeable battery l in acquisition cycle j; |T″ i，j- T″ l，j | represents the synchronization of the current fluctuation trends of rechargeable battery i and rechargeable battery l in acquiring cycle j. The smaller the value, the more consistent the current fluctuation trends of rechargeable battery i and rechargeable battery l in acquiring cycle j.

[0089] So far, the synchronization of the current fluctuation trend in each acquisition cycle in the charging information record of each rechargeable battery is obtained through the above method.

[0090] According to another embodiment of the present invention, the method can be built on the charging pile IoT platform, and the data of the real-time charging process of the user's electric bicycle can be remotely obtained through the IoT technology. The charging pile supplier pushes the order heartbeat data to the system at regular intervals, which records the key performance parameters of the electric bicycle charging process, such as voltage, current, power value and the timestamp of each data push, and also includes the identification information of the user and the device, such as user ID, supplier ID and order number. The charging data curve is as follows: Figure 2 As shown;

[0091] When the user's charging is completed, the supplier will push the final heartbeat data to the system, which contains a specific flag that clearly indicates that the charging process has ended. Based on the user ID and order information carried in this heartbeat data, the system retrieves all the heartbeat data records accumulated since the order was started in the backend database and constructs a complete order data. Through the obtained order data, we can obtain the data and change trends of key information such as voltage, current, power, etc. during the charging process, thereby providing an information basis for subsequent judgments.

[0092] In the subsequent judgment process, the key parameter to be used is the maximum power P during charging. max and non-zero minimum power P min .

[0093] In order to remotely and efficiently determine the charger or battery failure, a series of preset rules related to fault judgment are maintained in the system backend database, which contains important indicator information for determining charger or battery failure, including but not limited to: maximum power range Trickle power range Full charge time threshold T eff , trickle charge duration threshold T exc And the power lower limit threshold P of the rule failure thr wait.

[0094] Based on the above indicators, the charging data curve of the electric bicycle is intelligently analyzed to determine whether the charging data curve can reflect a charger or battery failure.

[0095] Step S004: based on the probability of current fluctuation trend synchronization and charging speed trend satisfying, collecting personalized clustering indicators of each acquisition cycle; and performing fault diagnosis on the charging information record of the rechargeable battery based on the personalized clustering indicators.

[0096] It should be noted that this embodiment personalizes the noise reduction scale by correcting the range index. This embodiment configures the initial range index μ=13 and the initial minimum number of samples MinPts=5 based on experience; wherein, the initial range index μ set in this embodiment is a larger value, so the final range index of each acquisition cycle is corrected downward based on the initial range index, the difference being the different correction scales.

[0097] Specifically, based on the probability of current fluctuation trend synchronization and charging speed trend satisfying, the personalized clustering index of each acquisition cycle in the charging information record of each rechargeable battery is collected.

[0098] An example is represented, for the j-th acquisition cycle in the charging information record of the ith rechargeable battery, the product of the probability of satisfying the current fluctuation trend synchronization of the j-th acquisition cycle and the charging speed trend of the j-th acquisition cycle is represented as the corrected priority value of the j-th acquisition cycle; the corrected priority values ​​of all acquisition cycles in the charging information record of the ith rechargeable battery are collected, and each corrected priority value after linear normalization of all corrected priority values ​​is represented as a correction index; the product of the initial range index and the correction index of the j-th acquisition cycle is represented as the personalized clustering index of the j-th acquisition cycle.

[0099] Among them, the minimum personalized clustering index cannot be lower than the initial minimum sample number MinPts=5.

[0100] At this point, the personalized clustering index of each acquisition cycle in the charging information record of each rechargeable battery is obtained.

[0101] The personalized clustering index of each acquisition cycle in the charging information record of each rechargeable battery is input into the collected multiple clustering clusters, and the charging information that does not belong to any clustering cluster after clustering is represented as faulty charging information. In this embodiment, before the judgment algorithm of charger or battery failure is performed, the validity of the data needs to be judged. The core judgment logic is to check the maximum power P in the actual charging data of the user. max Whether it is within the maximum power range in the judgment rule, that is, check whether it meets the If the conditions are met, it means that the current order data meets the requirements of the judgment rule and the subsequent judgment process can be carried out; otherwise, it means that the relevant parameters of the order data are abnormal and are not applicable to the judgment rule, and the subsequent judgment process is stopped.

[0102] In this way, the effectiveness and correctness of charger and battery fault judgment can be ensured to the greatest extent, thereby improving the reliability of the entire system.

[0103] Based on the various parameters in the user's charging data and the various indicators in the fault judgment rules, the core charger and battery fault judgment process considers the parameter values ​​​​at different charging stages during the entire charging process. It is mainly composed of three sub-analysis processes: full charging stage analysis, trickle charging stage analysis, and minimum value analysis.

[0104] Analysis of full charging stage:

[0105] Based on the user's complete charging curve data, the heartbeat data of each timestamp is judged in turn to check whether the current power value is within the maximum power range. The duration of the heartbeat data that meets the conditions will be accumulated. After the entire charging curve data is fully analyzed, the actual full charging time T′ of the user is obtained. max . Determine the actual full charge time of the user and the full charge time threshold T set in the judgment rule max Compare. If T′ max <T max , it indicates that the order has charger and battery failure problems, and the judgment process ends early; otherwise, continue with the subsequent sub-analysis process.

[0106] Trickle charging stage analysis:

[0107] Based on the user's complete charging curve data, the heartbeat data of each timestamp is judged in turn to check whether the current power value is within the trickle power range. The duration of the heartbeat data that meets the conditions will be accumulated. After the entire charging curve data is fully analyzed, the actual trickle charging time T′ of the user is obtained. exc . Determine the actual trickle charging time of the user and the trickle charging time threshold T set in the judgment rule exc Compare. If T′ exc <T exc , it indicates that the order has charger and battery failure problems, and the judgment process ends early; otherwise, continue with the subsequent sub-analysis process.

[0108] Minimum analysis:

[0109] The last step of the judgment process is to analyze the non-zero minimum value in the charging data. min The power lower limit threshold P in the judgment rule thr For comparison. min ≥P thr , it means that the order has charger and battery failure problems; otherwise, it means that the order has passed all processes and there are no charger and battery failure problems.

[0110] Through the above process, potential problems at different charging stages can be accurately identified, ensuring the comprehensiveness and accuracy of fault diagnosis, and timely and accurately identifying charger and battery failure problems.

[0111] It is important to note that when analyzing the duration within the maximum power range and the trickle power range, since the power curve is essentially a scatter plot consisting of heartbeat data points, the duration calculation is actually approximated by calculating the time difference between adjacent data points and accumulating them at the code implementation level. This method of calculating duration is an approximate calculation method, but it has been proven to be effective and practical in actual applications, and can provide reliable data support for charger or battery fault detection.

[0112] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0113] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present invention.

[0114] The specific implementation methods of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, and therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the scope of the invention.

Claims

1. A remote diagnosis method for electric bicycle rechargeable battery and charger faults, characterized in that: The method comprises the following steps: Collecting electric bicycle charging information records; the electric bicycle charging information records include charging information records of the electric bicycle charger and charging information records of multiple rechargeable batteries; the charging information records of the rechargeable batteries and the charging information records of the electric bicycle charger include charging information of multiple acquisition cycles; Based on the difference of charging information between different acquisition cycles in the charging information record of each rechargeable battery, the failure probability of each acquisition cycle is collected; Based on the difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger, the probability of satisfying the charging speed trend in each acquisition cycle is collected; based on the probability of satisfying the charging speed trend, the importance priority value of the charging information record of each rechargeable battery to the charging information record of each other rechargeable battery is collected; based on the importance priority value and the failure probability, the synchronization of the current fluctuation trend in each acquisition cycle is collected; Based on the synchronization of current fluctuation trend and the probability of charging speed trend meeting, the personalized clustering index of each acquisition cycle is collected; and the charging information record of the rechargeable battery is used for fault diagnosis based on the personalized clustering index; The specific method of collecting the personalized clustering index of each acquisition cycle based on the synchronization of the current fluctuation trend and the probability of satisfying the charging speed trend is as follows: An initial range index is configured. For the j-th acquisition cycle in the charging information record of the ith rechargeable battery, the product of the probability of current fluctuation trend synchronization in the j-th acquisition cycle and the charging speed trend in the j-th acquisition cycle being satisfied is expressed as a corrected priority value for the j-th acquisition cycle. The corrected priority values ​​of all acquisition cycles in the charging information record of the ith rechargeable battery are collected, and each corrected priority value after linear normalization of all corrected priority values ​​is expressed as a correction index. The product of the initial range index and the correction index of the j-th acquisition cycle is expressed as a personalized clustering index for the j-th acquisition cycle.

2. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 1, characterized in that: The method of collecting the failure probability of each acquisition cycle based on the difference in charging information between different acquisition cycles in the charging information record of each rechargeable battery includes the following specific methods: For the charging information record of the i-th rechargeable battery, collect the average value record of the charging information record of the i-th rechargeable battery, and collect the mean square error record of the charging information record of the i-th rechargeable battery; Based on the average value record and the mean square error record of the charging information record of the i-th rechargeable battery, collecting the fault priority value of the j-th acquisition cycle in the charging information record of the i-th rechargeable battery; The fault priority values ​​of all acquisition cycles in the charging information record of the i-th rechargeable battery are collected, and each fault priority value after all the fault priority values ​​are linearly normalized represents the fault probability.

3. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 2, characterized in that: The method of collecting the fault priority value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery based on the average value record and the mean square error record of the charging information record of the i-th rechargeable battery includes: The quotient of the average value of the jth acquisition cycle in the charging information record of the ith rechargeable battery and the mean square error value of the jth acquisition cycle in the charging information record of the ith rechargeable battery represents the fault priority value of the jth acquisition cycle in the charging information record of the ith rechargeable battery.

4. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 2, characterized in that: The difference between the charging information record of the rechargeable battery and the charging information record of the electric bicycle charger is used to collect the probability of the charging speed trend satisfying each acquisition cycle, including the specific method of: For the jth acquisition cycle in the charging information record of the i-th rechargeable battery; collecting the overall charging information inside the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; The calculation method for collecting the charging information record of the i-th rechargeable battery and the probability of the charging speed trend satisfying the j-th acquisition cycle is: R i，j =exp(-|(Tz i，j -T0 j )×T" i，j |) In the formula, R i，j Tz represents the probability of satisfying the charging speed trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; i，j T0 represents the overall charging information of the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; j Represents the charging information of the jth acquisition cycle in the charging information record of the electric bicycle charger; T″ i，j It represents the mean square error value of the j-th acquisition cycle in the charging information record of the i-th rechargeable battery.

5. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 4, characterized in that: The specific method of collecting the overall charging information of the electric bicycle in the jth acquisition cycle in the charging information record of the i-th rechargeable battery includes: The trend items of each acquisition cycle in the charging information records of all rechargeable batteries are collected; the average of the trend items of the j-th acquisition cycle in the charging information records of all rechargeable batteries represents the overall charging information inside the electric bicycle of the j-th acquisition cycle in the charging information records of the ith rechargeable battery.

6. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 1, characterized in that: The method of collecting the importance priority value of each charging information record of each rechargeable battery to the charging information record of each other rechargeable battery based on the charging speed trend meeting probability includes the following specific methods: Based on the probability of satisfying the charging speed trend of the period obtained in the charging information record of the kth rechargeable battery, the importance weight probability of the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery is collected; The importance weight probabilities of the charging information records of all rechargeable batteries for the charging information record of the i-th rechargeable battery are collected, and each importance weight probability after linearly normalizing all importance weight probabilities represents an importance priority value.

7. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 6, characterized in that: The method of obtaining the probability of satisfying the charging speed trend of the cycle based on the charging information record of the kth rechargeable battery and collecting the importance weight probability of the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery includes the following specific methods: A length index is configured; the standard deviation of the charging information record of the kth rechargeable battery and the charging information record of the ith rechargeable battery is represented as a first standard deviation; the product of the mean of the charging speed trend of all acquisition cycles in the charging information record of the kth rechargeable battery that satisfies the probability and the first standard deviation is represented as a first product; the length between the kth rechargeable battery and the ith rechargeable battery is represented as a first length; The quotient of the length index and the first length represents the first quotient; the product of the first product and the first quotient represents the importance weight probability of the charging information record of the kth rechargeable battery to the charging information record of the ith rechargeable battery.

8. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 2, characterized in that: The method of collecting the current fluctuation trend synchronization of each acquisition cycle based on the importance priority value and the fault probability includes the following specific methods: For the jth acquisition cycle in the charging information record of the i-th rechargeable battery, collecting the average current fault level of the j-th acquisition cycle; The calculation method for the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery is: In the formula, ST i，j represents the synchronization of the current fluctuation trend in the jth acquisition cycle in the charging information record of the i-th rechargeable battery; N represents the total number of all rechargeable batteries; Q l，i represents the importance priority value of the charging information record of the lth rechargeable battery to the charging information record of the ith rechargeable battery; E i，j represents the failure probability of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; E1 i，j represents the average current fault level of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; E l，j E1 represents the failure probability of the jth acquisition cycle in the charging information record of the lth rechargeable battery; l，j represents the average current fault level of the jth acquisition cycle in the charging information record of the lth rechargeable battery; T″ i，j represents the mean square error value of the jth acquisition cycle in the charging information record of the i-th rechargeable battery; T″ l，j It represents the mean square error value of the j-th acquisition cycle in the charging information record of the l-th rechargeable battery.

9. The remote diagnosis method for electric bicycle rechargeable battery and charger faults as claimed in claim 8, characterized in that: The specific method of acquiring the average current fault level of the jth acquisition cycle includes: A quantity index h is configured, and the h acquisition cycles before the j-th acquisition cycle are all represented as reference acquisition cycles of the j-th acquisition cycle; the average of the failure probabilities of the reference acquisition cycles of all the j-th acquisition cycles is represented as the average current failure level of the j-th acquisition cycle.

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