CN117400763A

CN117400763A - Wireless communication battery detection method and system based on charging pile

Info

Publication number: CN117400763A
Application number: CN202311171618.XA
Authority: CN
Inventors: 彭长江; 张阿平
Original assignee: Zhongyi Shenzhen Information Technology Co ltd
Current assignee: Zhongyi Shenzhen Information Technology Co ltd
Priority date: 2023-09-11
Filing date: 2023-09-11
Publication date: 2024-01-16
Anticipated expiration: 2043-09-11
Also published as: CN117400763B

Abstract

The invention discloses a wireless communication battery detection method and a system based on a charging pile. Meanwhile, the detection terminal and the charging pile are split, and after the vehicle owner connects the detection terminal with an OBD diagnosis interface in the vehicle, the vehicle door can be normally closed without additional supervision personnel. According to the invention, whether the detection terminal is in the accommodating bin or not is judged, and the charging pile can judge whether the detection charging integrated mode is needed to be entered during charging, so that the additional operation of a vehicle owner is not needed, and the efficiency of self-service detection of the battery is improved. On the other hand, according to the status of the bin gate and the RFID reader, whether the detection terminal is in a return state or not can be judged, and only if the detection terminal is in the return state, the user is allowed to finish the current order.

Description

Wireless communication battery detection method and system based on charging pile

Technical Field

The invention relates to the field of new energy batteries, in particular to a wireless communication battery detection method and system based on a charging pile.

Background

In the field of new energy batteries, parameters such as voltage, current, temperature and the like of the battery are generally detected through a sensor module, and the sensor module sends detected data to a control board where a battery management module is located. For example, on new energy electric automobile, lithium ion battery is as main power supply and the core part of electric automobile, and its health status influences the safe operation of electric automobile constantly, because the battery on the electric automobile is by battery monomer constitution, the state of every monomer in the group battery can both directly influence the capacity of whole group battery, the state of internal resistance, and then lead to electric automobile's continuation of the journey mileage and security to descend, although install battery management system (Battery Management System, BMS) on each electric automobile, charge-discharge data of electric automobile that will go through BMS gathers the analysis, because BMS's power of calculation is limited, so the evaluation accuracy to power battery is not high, only rely on BMS also can't detect group battery specific performance state simultaneously. In the related art, in order to provide finer analysis to a vehicle owner, a manufacturer is generally required to upload battery charge and discharge data stored in the vehicle to a manufacturer server for analysis and present an analysis report to a user through an app.

However, on one hand, manufacturers can easily tamper with detected source data to promote the stability of products, so as to obtain the illusion of product stability, which causes higher safety risks for the use of electric automobiles. On the other hand, BMS is mainly used for monitoring and managing the working state of the battery system of the electric automobile under the common working condition of an automobile owner, and the real-time monitoring of the battery state is realized by collecting parameters such as voltage, current and temperature, but when the dynamic performance of the battery under the more complex working condition is required to be analyzed, the BMS can not provide corresponding test data, and the real-time monitoring can not be realized. For example, data required for analyzing performances such as internal resistance of a battery under different working conditions and dynamic power capacity of the battery under different working conditions cannot be provided by the current BMS. The inventor finds that the key reason that the dynamic performance test of the battery cannot be realized is that the test current of the corresponding working condition cannot be provided for the battery.

After searching, those skilled in the art have proposed a scheme for integrally detecting the performance of the battery under different working conditions in the charging pile, and the specific content of the scheme can be referred to as patent document 1 and patent document 2. Patent document 1 discloses that the existing charging piles only have a single function of supplementing electric energy to the power battery, and have no other functions except charging, but the power battery is not only required to be charged in the use process, but also required to be subjected to safety inspection, so that the use safety of the power battery is ensured. Based on this, the technical contribution of patent document 1 is to modify the charging pile so that the charging pile inputs the detection current to the test vehicle according to the requirements of the software built-in condition file. However, patent document 1 has the disadvantage that charging data under different working conditions in the charging process can be obtained only by using a current transformer sleeved on a direct current bus, the health condition of the battery can be deduced only according to the charging data, and detailed data of the battery can not be obtained.

The solution of patent document 2 can solve the above-mentioned deficiency of patent document 1, as shown in fig. 1, in patent document 2, the charging power of the charging pile can be adjusted according to the detection working condition file, and further battery detailed data provided by the BMS and the vehicle-mounted self-diagnosis system are respectively obtained through the data acquisition module and the OBD data acquisition module, and by matching with the conventional charging pile, an accurate detection report of the health state of the power battery can be obtained, so that a user can accurately and comprehensively understand the safety of the power battery, and the use safety of the power battery is improved.

It is known that patent document 2 provides a charging pile with integration of charging and inspection, but the solution of patent document 2 still has the following drawbacks:

the OBD diagnosis interface of car sets up inside electric automobile, OBD interface connection is in the check out test set main part, if the OBD interface of portable check out test set and the OBD diagnosis interface connection of electric automobile are needed, then need keep the door open state in electric automobile charging process, and current charging stake is generally disposed in public spaces such as ground storehouse, parking area and be self-service, if adopt the integrative charging stake of filling of patent literature 2, need increase maintenance personnel and take care of on the spot always, under the circumstances that the car owner leaves simultaneously, open the door to the maintenance personnel of unknown, also can bring the property risk for the car owner, so the scheme of patent literature 2 is not applicable to the battery detection function of the integrative charging stake of self-service filling. On the other hand, in the actual use process, there are cases where the owner intentionally forgets to return.

Patent document 1, patent name, method of changing a power battery charging detection apparatus based on a general direct current charging pile, patent publication No. CN114056151B, publication date, 2022-02-18.

Patent document 2, patent name, portable power battery safety detection system and device, patent publication No. CN114137428B, publication date, 2022-03-04.

Disclosure of Invention

The invention provides a wireless communication battery detection method and a wireless communication battery detection system based on a charging pile, which can help a vehicle owner to identify whether a manufacturer falsifies battery data or not, provide self-help detection of battery performance under complex working conditions for the vehicle owner, and identify whether a detection terminal is returned or not.

In order to achieve the above object, in a first aspect, the present invention provides a wireless communication battery detection method based on a charging pile, which is applied to a battery detection system, wherein the battery detection system includes a plurality of groups of charging devices, each group of charging devices includes a charging pile and a detection terminal separately arranged from the charging pile, a containing bin is arranged on the charging pile, and the containing bin is used for placing the detection terminal therein; the detection terminal comprises a cellular network module and a storage battery for supplying power, and is connected with an OBD diagnosis interface of the electric automobile so as to acquire data of each battery cell from a BMS of the electric automobile and upload the data of each battery cell to a cloud server through the cellular network module, and a charging gun of a charging pile is connected with a charging port of the electric automobile so as to charge the battery of the electric automobile; the detection terminal is provided with an RFID electronic tag, and an RFID reader is arranged in the accommodating bin;

The method comprises the following steps:

when the charging pile receives a charging starting instruction and detects that the detection terminal is not in the accommodating bin, the charging pile enters a detection and charging integrated mode; in the detection and charging integrated mode, the charging pile generates test charging currents corresponding to different working conditions in the charging process according to a preset working condition file;

in the process of charging batteries of the electric vehicle by using test charging currents corresponding to different working conditions, a detection terminal acquires data of each battery cell monitored by the BMS through an OBD diagnosis interface of the electric vehicle;

the method comprises the steps that a detection terminal packages acquired data of each battery cell into a first data packet, adds the first data packet into an uploading queue, and uploads the first data packet in the uploading queue to a cloud server in real time through a cellular network module, so that the cloud server analyzes the performance of each battery cell under different working conditions according to the received first data packet, and generates a battery performance report and sends the battery performance report to a vehicle owner terminal;

under the condition that the charging pile detects that the charging interface of the charging gun and the electric automobile is switched from the connection state to the disconnection state, when the bin gate of the accommodating bin is detected to be in the closed state and the RFID electronic tag information corresponding to the current accommodating bin is read through the RFID reader, the corresponding detection terminal is judged to be in the return state.

As a further improvement, the inner surface of the bin gate of the accommodating bin and the inner surface of the accommodating bin are both attached with shielding layers, and the shielding layers are made of RFID shielding materials.

As a further improvement, the detection terminals further comprise wireless communication modules, and the detection terminals of the charging devices in each group form a P2P network based on the corresponding wireless communication modules; the method further comprises the steps of:

when the connection state of the detection terminal is switched from the first state to the second state, acquiring the task state of the detection terminal at present; the first state is a state when the detection terminal is not connected with the OBD diagnosis interface of the electric automobile, and the second state is a state when the detection terminal is connected with the OBD diagnosis interface of the electric automobile;

executing a forwarding strategy when the task state of the detection terminal is the first transmission state and the detection terminal is detected to meet the forwarding condition; wherein,

the first transmission state is a task state when the detection terminal is connected with an OBD diagnosis interface of the electric automobile, the uploading queue is not empty, and the uploading queue comprises data which does not belong to the current electric automobile;

meeting the forwarding condition includes: the BMS acquires data in the time corresponding to the N sampling periods, wherein the data volume of the data is larger than the data volume of the data uploaded by the cellular network module in the time corresponding to the N sampling periods, and the storage space required by the detection task is larger than the local residual storage space of the detection terminal; the N is a positive integer greater than 1;

Executing the forwarding policy includes: and the detection terminal packages the data which does not belong to the current electric automobile into a second data packet, and forwards the second data packet to the target detection terminal through the P2P network so as to upload the second data packet to the cloud server through the target detection terminal.

As a further improvement, before detecting whether the forwarding condition is met, the method further comprises the step that the detection terminal determines the storage space required by the detection task;

the method for determining the storage space required by the detection task specifically comprises the following steps:

the detection terminal obtains the time length required by the completion of the charging of the current electric automobile estimated by the BMS;

the detection terminal determines the data quantity of the data acquired by the BMS in the time corresponding to the N sampling periods;

and the detection terminal calculates the storage space required by the detection task according to the time required by the current electric automobile charging completion and the data quantity of the data acquired by the BMS in the time corresponding to the N sampling periods.

As a further improvement, the detection terminal calculates a storage space required by the detection task according to a time length required by the current electric vehicle charging and a data volume of data acquired by the BMS in a time corresponding to N sampling periods, and specifically includes:

The detection terminal corrects the time required by the current electric automobile to finish charging;

the correction process specifically comprises the following steps of correcting the current required time for completing charging of the electric automobile according to the following formula:

wherein,for the time length required for completing the charging of the current electric automobile after correction, < > for>The current electric vehicle charge estimated for the BMS is completed for a desired period of time,/->Charging rate when charging electric car for charging pile, < ->The charging multiplying power is output for the charging pile according to the working condition file when the charging current is tested according to the ith test; />The method comprises the steps of outputting an ith test charging current duration for a charging pile according to a working condition file;

and the detection terminal calculates the storage space required by the detection task according to the corrected time length required by the completion of the charging of the current electric automobile and the data quantity of the data acquired by the BMS in the time corresponding to the N sampling periods.

As a further improvement, the detection terminal packages the data not belonging to the current electric automobile into a second data packet, and forwards the second data packet to the target detection terminal through the P2P network, which specifically includes:

the current detection terminal acquires task states of other detection terminals, and takes one detection terminal in a first idle state as a target detection terminal; the first idle state is a task state when the detection terminal is placed in the accommodating bin and the uploading queue is empty;

And the current detection packages the data which do not belong to the current electric automobile in the uploading queue into a second data packet, and forwards the second data packet to the target detection terminal through the P2P network.

the current detection terminal acquires task states of other detection terminals, and at least two detection terminals in a second idle state are taken as target detection terminals together; the second idle state is a task state when the detection terminal is connected with an OBD diagnosis interface of the electric automobile and the uploading queue is empty;

the current detection terminal packages data which do not belong to the current electric automobile into a second data packet, encrypts the second data packet, and then divides the encrypted second data packet into encrypted data packets corresponding to the number of the target detection terminals according to a preset dividing strategy;

the current detection terminal forwards a corresponding encrypted data packet to each target detection terminal through the P2P network.

As a further improvement, the preset segmentation strategy specifically includes:

Determining the data volume proportion relation between each divided encrypted data packet and the second data packet according to the following formula:

wherein,the data amount of the ith encrypted data packet; />The network speed of the cellular network module of the terminal is detected for the purpose of receiving the ith encrypted data packet.

The invention provides a wireless communication battery detection system based on a charging pile, which is characterized by comprising a plurality of groups of charging equipment, wherein each group of charging equipment comprises a charging pile and a detection terminal which is arranged separately from the charging pile, the charging pile is provided with a containing bin, and the containing bin is used for containing the detection terminals; the detection terminal comprises a cellular network module and a storage battery for supplying power, and is connected with an OBD diagnosis interface of the electric automobile so as to acquire data of each battery cell from a BMS of the electric automobile and upload the data of each battery cell to a cloud server through the cellular network module, and a charging gun of a charging pile is connected with a charging port of the electric automobile so as to charge the battery of the electric automobile; the detection terminal is provided with an RFID electronic tag, and an RFID reader is arranged in the accommodating bin; wherein,

The charging pile further comprises a first program which, when executed, realizes the following steps:

under the condition that the charging pile detects that a charging interface of a charging gun and an electric automobile is switched from a connection state to a disconnection state, when detecting that a bin gate of a containing bin is in a closed state and reading RFID electronic tag information corresponding to a current containing bin through an RFID reader, judging that a corresponding detection terminal is in a return state;

the detection terminal further comprises a second program, and when the second program is executed, the following steps are realized:

and the detection terminal packages the acquired data of each battery cell into a first data packet, adds the first data packet into an uploading queue, and uploads the first data packet in the uploading queue to the cloud server in real time through the cellular network module, so that the cloud server analyzes the performance of each battery cell under different working conditions according to the received first data packet, and generates a battery performance report and sends the battery performance report to the vehicle owner terminal.

Compared with the prior art, the wireless communication battery detection method and system based on the charging pile provided by the invention have the advantages that the vehicle owner can acquire the performance report of the battery during self-service charging, so that the vehicle owner can identify whether the manufacturer has fraudulent conduct or not by comparing with the report provided by the manufacturer of the electric vehicle. Because the detection terminal integrated cellular network module can upload the collected battery monomer data to the cloud server in real time, under the condition of good network, the cloud server can immediately perform data analysis to obtain a performance report and send the performance report to a vehicle owner, so that the generation speed of the performance report is improved; under the condition of poor network, the collected data is uploaded in real time, so that the data can be transmitted from the detection terminal to the cloud server as soon as possible. Meanwhile, the detection terminal and the charging pile are split, and after the vehicle owner connects the detection terminal with an OBD diagnosis interface in the vehicle, the vehicle door can be normally closed without additional supervision personnel. In this embodiment, whether through judging whether detect the terminal in holding the storehouse, whether charge the stake and need get into when charging and detect the integration mode of charging, need not the car owner and additionally operate, promoted the efficiency of self-service detection battery. On the other hand, when the charging pile detects that the charging interface of the charging gun and the electric automobile is switched from the connection state to the disconnection state, the charging is ended, whether the detection terminal is in the return state or not can be judged according to the bin gate state and the RFID reader, and the user is allowed to end the current order only if the detection terminal is in the return state.

Drawings

Fig. 1 is an application environment diagram of a wireless communication battery detection method based on a charging pile according to an embodiment of the present invention;

FIG. 2 is a block diagram of a detection terminal according to an embodiment of the present invention;

fig. 3 is a block diagram of a wireless communication battery detection system based on a charging pile according to an embodiment of the present invention;

fig. 4 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

fig. 5 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

fig. 6 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

fig. 7 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

fig. 8 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

fig. 9 is a flowchart of a method for detecting a wireless communication battery based on a charging pile according to an embodiment of the present invention;

FIG. 10 is a cross-sectional view of a containment vessel according to an embodiment of the present invention;

the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

Reference will now be made in detail to the present embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the accompanying drawings are used to supplement the description of the written description so that one can intuitively and intuitively understand each technical feature and overall technical scheme of the present invention, but not to limit the scope of the present invention.

Fig. 3 is a block diagram of a wireless communication battery detection system based on a charging stake in one embodiment. Referring to fig. 3, the method for detecting a wireless communication battery based on a charging pile provided by the embodiment of the invention is applied to a wireless communication battery detection system based on a charging pile. The wireless communication battery detection system based on the charging post comprises a plurality of groups of charging devices, as shown in fig. 3, and in one example, 10 groups of charging devices are combined. Each group of charging equipment comprises a charging pile and a detection terminal which is arranged in a split manner with the charging pile, wherein the charging pile is provided with a containing bin 101, and the containing bin 101 is used for containing the detection terminal; the detection terminal comprises a cellular network module and a storage battery for supplying power, and is connected with an OBD diagnosis interface of the electric automobile so as to acquire data of each battery cell from the BMS of the electric automobile and upload the data of each battery cell to the cloud server through the cellular network module, and a charging gun of the charging pile is connected with a charging port of the electric automobile so as to charge the battery of the electric automobile. Specifically, in one example, as shown in fig. 2, the cellular network module is a 4G module, and provides internet traffic service through the USIM, in order to ensure the cruising ability of the detection terminal on the electric automobile, a DC-DC module is further configured at the detection terminal, and when the detection terminal is connected with the OBD diagnosis interface of the electric automobile, the 12V voltage at the OBD diagnosis interface is converted into the 3.6V voltage required by the detection terminal, and data is acquired from the OBD diagnosis interface through the CAN bus, for example, vehicle information is acquired, or charging and discharging data of each battery cell is acquired from the BMS.

As shown in fig. 1, in one scenario, an owner drives an electric automobile to a parking lot and parks the automobile on a corresponding parking space, a charging pile corresponding to the parking space is deployed in front of each parking space, the owner finds that the residual electric quantity of the electric automobile is only 20%, the owner inserts a charging gun into a charging port of the electric automobile, then scans a two-dimensional code on a screen of the charging pile by using an owner terminal (such as a mobile phone) to log in a applet, an interface of the applet can remind the owner, the current charging pile has a battery detection function, and an operation course or a demonstration video is displayed on the applet interface. When the user selects to start the battery detection function through the interface, the bin door 102 of the accommodating bin 101 of the charging pile is switched to an allowable opening state, and the vehicle owner takes the detection terminal out of the accommodating bin 101 according to the previous course and takes the detection terminal into the vehicle to be connected with an OBD diagnosis interface of the electric vehicle. At this time, the user triggers a start charging button on the interface of the applet, and the cloud server sends a charging instruction to the charging pile through the network. Because the charging pile is deployed in places such as a ground warehouse and a parking lot where broadband connection is inconvenient, a cellular network module connection network is configured on the charging pile, after the charging pile receives a charging instruction, whether the detection terminal is in the accommodating bin 101 is judged, and if not, a detection charging integrated mode is entered, and in the detection charging integrated mode, the charging pile generates test charging currents corresponding to different working conditions in a charging process according to preset working condition files. It will be appreciated that if the user selects to enable the battery detection function through the interface but the door 102 is still unopened for 3 minutes, the door 102 is again switched to the unopened state, and the switching of the door 102 state may be accomplished by controlling the electronic lock state on the door 102. Specifically, as shown in fig. 10, an RFID electronic tag is disposed on the detection terminal, and an RFID reader 104 is disposed in the accommodating compartment 101.

The method for detecting the wireless communication battery based on the charging pile provided by the invention is described in detail below with reference to the accompanying drawings and a plurality of embodiments. The method is applied to the wireless communication battery detection system based on the charging pile.

As shown in fig. 4, in one embodiment, there is provided a wireless communication battery detection method based on a charging pile, the method comprising:

step S202, when a charging pile receives a charging start instruction and detects that the detection terminal is not in the accommodating bin 101, entering a detection and charging integrated mode; under the detection and charging integrated mode, the charging pile generates test charging currents corresponding to different working conditions in the charging process according to a preset working condition file.

It may be appreciated that the preset working condition file is used to control the charging pile to generate the test charging currents corresponding to different working conditions in the charging process, for example, in one example, the preset working condition file may control the charging pile to sequentially control the test charging current generating the 1.2C charging rate for 5 minutes, the test charging current generating the 1.5C charging rate for 5 minutes, and the test charging current generating the 0.5C charging rate for 5 minutes from the 5 th minute of the power supply connected with the electric automobile, so as to obtain the dynamic performance of the battery under different working conditions.

In step S204, in the process of charging the battery of the electric vehicle by using the test charging currents corresponding to different working conditions, the detection terminal obtains the data of each battery cell monitored by the BMS through the OBD diagnosis interface of the electric vehicle.

In this embodiment, the detection terminal only acquires the data of each battery cell collected by the BMS in the battery charging process, and performs the dynamic performance test.

In GB/T32960.2-2016 and GB/T32960.3-2016, specifications are set forth for electric vehicles in terms of data transmission: the integrity and the accuracy of the stored data are ensured, the traceability of all the data is ensured, the data reporting interval of the electric automobile is not more than 30 seconds at maximum, and the electric automobile provides 1 second of retrospection when in fault.

Thus, although different manufacturers of BMS's set the battery data sampling frequency differently, GB/T32960.3-2016 constrains the time interval corresponding to the sampling period of the BMS to be no more than 30 seconds at maximum.

Table 1 shows the data items required to be collected as specified in GB/T32960.3-2016.

Table 1 GB/T32960.3-2016 data acquisition project Table

Step S206, the detection terminal packs the acquired data of each battery cell into a first data packet, adds the first data packet into an uploading queue, and uploads the first data packet in the uploading queue to the cloud server in real time through the cellular network module, so that the cloud server analyzes the performance of each battery cell under different working conditions according to the received first data packet, and generates a battery performance report and sends the battery performance report to the vehicle owner terminal.

The detection terminal includes a Random Access Memory (RAM) and a nonvolatile memory (NAND FLASH), which are connected to the processor via an I/0 bus. In this embodiment, the RAM capacity is 64M, the nand FLASH capacity is 2G, an upload queue and a queue mapping table are created in the RAM, each element in the upload queue is a first data packet obtained by the detection terminal after packaging the acquired data of each battery cell, the detection terminal is used as an embedded device, the RAM capacity of the detection terminal is not large, if the size of each first data packet is about 2M, and an electric vehicle with a battery capacity of 50AH is charged from 20% to 100% by taking an example, the charging rate of 0.5C is adopted in the fast charging in this embodiment, the charging completion time is 96 minutes, and if the sampling frequency is 30 seconds once, the total data of each acquired battery cell is about 192M. Obviously, under the condition of poor network speed of the cellular network module, the RAM cannot hold data in one charging test process, so NAND FLASH is needed to be used for temporarily storing the data which cannot be uploaded in time. Specifically, the following method is adopted in this embodiment:

an upload queue and a data status table are created in RAM, the length (i.e., number of elements) of the upload queue being 20.

In order to prevent data loss caused by sudden power-off of the detection terminal, when the detection terminal acquires data, the data is packed into a first data packet b1, then the first data packet b1 is stored in NAND FLASH, whether an uploading queue is full or not is judged, if not, the b1 is added into the uploading queue, and the storage position, the sequence and the state of the corresponding first data packet b1 are registered in a data state table;

and after the registration is completed, uploading the first data packet in the uploading queue to a cloud server in real time through a cellular network module, pushing b1 out of the uploading queue to delete b1, deleting b1 from NAND FLASH, and updating information corresponding to b1 in a data state table.

When the nth data is obtained, the nth data is packed into a first data packet bn, the first data packet bn is stored in NAND FLASH, and if the uploading queue is full at this time, the bn is not added into the uploading queue until the uploading queue is in an unsatisfied state. At this time, the data in the upload queue is [ bn-1, bn-2, ], bn-20], and bn-1 is a data packet formed by the n-1 th data obtained by the detection terminal.

It will be appreciated that if the network speed is particularly poor, and it is possible to get the n+4th data, the data in the upload queue is still [ bn-1, bn-2,..bn-20 ]. At this time, since the bn-20 is not uploaded, the bn-20 in NAND FLASH is still not deleted, and data is not lost even if the power is suddenly turned off, and the recovery can be performed through the data state table. When the uploading of the bn-20 is completed, the detection terminal deletes the bn-20 from the uploading queue and the NAND FLASH and updates the information of the bn-20 in the data state table, and adds the bn to the uploading queue, and updates the information of the bn in the state data packet. And when the uploading queue is not full, the data are acquired by the detection terminal and are added into the uploading queue according to the sequence of forming the first data packet.

In this embodiment, the upload queue is monitored to keep the upload queue in a full queue state, and the real-time in step S206 means that the data is uploaded to the cloud server through the cellular network module once the data in the upload queue is detected. In the charging process, the BMS determines the time interval for generating the first data packet by the detection terminal by using the frequency, for example, in the charging process, the BMS sampling frequency is 30 seconds, and the detection terminal can acquire data from the BMS every 30 seconds, so that the first data packet is generated every 30 seconds.

In step S208, when the charging pile detects that the charging interface between the charging gun and the electric vehicle is switched from the connection state to the disconnection state, and detects that the door 102 of the accommodating cabin 101 is in the closed state and reads the RFID electronic tag information corresponding to the current accommodating cabin 101 through the RFID reader 104, the corresponding detection terminal is determined to be in the return state.

In view of the fact that the owner may intentionally or unintentionally forget to place the detection terminal back into the housing compartment 101 and close the compartment door 102, the charging stake also needs to execute step S208 upon detecting that the charging gun is separated from the charging interface of the electric vehicle. When the charging pile detects that the bin door 102 of the accommodating bin 101 is not in a closed state or the RFID electronic tag information corresponding to the current accommodating bin 101 is not read through the RFID reader 104, the corresponding detection terminal is judged to be in an unreturned state, the charging pile sends a return alarm to the server, the server sends a return prompt to the vehicle owner terminal after receiving the return alarm, and when the applet receives the return prompt, return alarm information is displayed on the interface and a return teaching video is played. The user is allowed to end the current order only if it is determined that the corresponding detection terminal is in the return state.

Further, as shown in fig. 10, a shielding layer 103 is attached to the inner surface of the door 102 of the accommodating chamber 101 and the inner surface of the accommodating chamber 101, and the shielding layer 103 is made of an RFID shielding material. The shielding layer 103 made of the RFID shielding material can shield the radio frequency signal generated by the reader 104, i.e. the detection terminal can be read only after the vehicle owner places the detection terminal in the accommodating bin 101, and the detection terminal can not be read when the bin door 102 is closed and the detection terminal is positioned outside the accommodating bin 101, so that erroneous judgment is avoided. Specifically, the RFID shielding material may be a metal-plated electromagnetic shielding fiber fabric, a hollow woven wire mesh shielding, electromagnetic shielding glass, or the like.

Because the vehicle owner can acquire the performance report of the battery during self-service charging in the embodiment, the vehicle owner can identify whether the manufacturer has fraudulent conduct or not by comparing the report provided by the manufacturer of the electric vehicle. Because the detection terminal integrated cellular network module can upload the collected battery monomer data to the cloud server in real time, under the condition of good network, the cloud server can immediately perform data analysis to obtain a performance report and send the performance report to a vehicle owner, so that the generation speed of the performance report is improved; under the condition of poor network, the collected data is uploaded in real time, so that the data can be transmitted from the detection terminal to the cloud server as soon as possible. Meanwhile, the detection terminal and the charging pile are split, and after the vehicle owner connects the detection terminal with an OBD diagnosis interface in the vehicle, the vehicle door can be normally closed without additional supervision personnel. In this embodiment, through judging whether the detection terminal is in holding storehouse 101, whether charging stake can judge to get into when charging and detect the integration mode that charges, need not the car owner and additionally operate, has promoted the efficiency of self-service detection battery.

As shown in fig. 3, in one scenario, the parking space 2 is in a continuously used state, that is, after the previous electric vehicle leaves from the parking space 2, the next electric vehicle occupies the parking space 2 soon (for example, within 3 minutes), and correspondingly, the charging pile 2 is also in a continuously used state. In this case, too, the detection terminal 2 is continuously used, and if the network speed is not good, it means that a large amount of data is likely to be accumulated in the storage space (i.e., NAND FLASH) of the detection terminal 2. At this time, there may be a case where the storage space of the detection terminal 2 is insufficient, for example, the NAND FLASH capacity is only 100M, and when the network situation is bad, it may result in that the detection terminal cannot collect all data in the charging process (for example, the data amount of all data collected in the charging process is about 192M), so as to solve the above problem, the following scheme is provided.

As shown in fig. 5, in one embodiment, a method for detecting a wireless communication battery based on a charging stake is provided. As shown in fig. 2, the detection terminal further includes a wireless communication module, where the wireless communication module is a WIFI module, and the detection terminals of each group of charging devices form a P2P network based on the corresponding wireless communication module. The method further comprises the steps of:

Step S302, when the connection state of the detection terminal is switched from the first state to the second state, acquiring the task state of the detection terminal at present; the first state is a state when the detection terminal is not connected with the OBD diagnosis interface of the electric automobile, and the second state is a state when the detection terminal is connected with the OBD diagnosis interface of the electric automobile.

Specifically, the switching from the first state to the second state is an event that the detection terminal is connected to the OBD diagnostic interface of the electric vehicle, and generally occurs in a scenario that the detection terminal just starts to be connected to the OBD diagnostic interface of the new electric vehicle.

Step S304, when the task state of the detection terminal is the first transmission state and the detection terminal is detected to meet the forwarding condition, executing the forwarding strategy; wherein,

the first transmission state is a task state when the detection terminal is connected with an OBD diagnosis interface of the electric automobile, the uploading queue is not empty, and the uploading queue comprises data which does not belong to the current electric automobile.

Specifically, the connection of the detection terminal and the OBD diagnosis interface of the electric automobile means that the detection terminal is on the automobile, the fact that the uploading queue is not empty means that the task of uploading the first data packet is not completed, and the fact that the uploading queue includes data which does not belong to the current electric automobile means that the data of the previous electric automobile is not completely uploaded to the cloud server. For example, after the electric vehicle D1 is charged and leaves the parking space 2, the electric vehicle D2 is connected to the detection terminal within 3 minutes, and the uploading queue still has data of D1 at this time, that is, the uploading queue includes data not belonging to the current electric vehicle D2.

it will be appreciated that if the network of the current detection terminal is poor, even if the network failure cannot communicate with the cloud server, the remaining storage space (i.e. NAND FLASH) of the detection terminal may only remain 100M, and the current detection task needs 384M, and one detection task refers to the process from the connection of the detection terminal and the electric automobile to the completion of charging. For example, in one example, N is 5, the time corresponding to each sampling period of the bms is 30 seconds, the data amount of 5 data collected in 150 seconds corresponding to the 5 sampling periods is sequentially 1.8M, 2.2M, 2M, 2.1M, 1.9M, and the bms collects 10M of data in the time corresponding to the 5 sampling periods, and the network speed of the cellular network module in this period is 0.05M, that is, the data amount uploaded in 150 seconds is 7.5M, so that the forwarding condition is satisfied.

A plurality of detection terminals can form a P2P network through a wireless communication mode. For example, a plurality of detection terminals are added to the same WIFI local area network, and data transmission between any two detection terminals in the WIFI local area network is possible.

When the detection terminal packages the data into the first data packet, the VIN codes (namely the vehicle identification codes) of the corresponding electric vehicles are packaged together, and whether the corresponding first data packet belongs to the current electric vehicle can be identified through the VIN codes in the first data packet.

Specifically, if it is identified that NAND FLASH has data pertaining to two electric vehicles, for example, data pertaining to two electric vehicles P1 and P2, two second data packets corresponding to P1 and P2 are formed, and then the corresponding second data packets are sent to two target terminal detection terminals through a P2P network, respectively.

The following provides two specific embodiments of the detection terminal packaging data not belonging to the current electric automobile into a second data packet, and forwarding the second data packet to the target detection terminal through the P2P network.

In a first embodiment, as shown in fig. 8, a detection terminal packages data not belonging to a current electric automobile into a second data packet, and forwards the second data packet to a target detection terminal through a P2P network, which specifically includes:

Step S602, the current detection terminal acquires task states of other detection terminals, and takes one of the detection terminals in a first idle state as a target detection terminal; the first idle state is a task state when the detection terminal is placed in the accommodating bin 101 and the upload queue is empty.

It should be noted that, once the upload queue is empty, this means that the detection terminal does not need to transmit data to the cloud server through the cellular network module, that is, the detection terminal is idle, and may be used to help upload the second data packet to the cloud server.

Specifically, as shown in fig. 3 and 2, a WiFi module is arranged on each detection terminal to form a local area network, so that data transmission between the detection modules is realized, the existing software of the detection and charging integrated charging pile is not required to be adjusted, and only the containing bin 101 is required to be added on hardware to place the detection terminal. Assuming that the current detection terminal is the detection terminal 1, the other detection terminals are the detection terminals 2 to 10, the detection terminal 1 transmits a task state query request to the detection terminals 2 to 10 through the P2P network, and the detection terminals 2 to 10 return their own task state information to the detection terminal 1 in response to the task state query request transmitted by the detection terminal 1.

In one example, if it is recognized that there are data belonging to two electric vehicles in the local NAND FLASH, for example, there are data of two electric vehicles P1 and P2, two second data packets corresponding to P1 and P2, respectively, are formed, and then the second data packets corresponding to the prices of the P2P network are sent to two target terminal detection terminals, respectively. The number of target detection terminals depends on how many electric vehicles the data present in NAND FLASH corresponds to.

In another example, if it is recognized that there are data belonging to 3 electric vehicles in the local NAND FLASH, for example, there are data of three electric vehicles P1, P2, and P3, 3 second data packets corresponding to P1, P2, and P3 are formed, and the three second data packets may be sent to three target detection terminals, respectively, or the three second data packets may be sent to the same target detection terminal. Or 2 second data packets are sent to the same target detection terminal, and the other second data packet is sent to the other target detection terminal.

Step S604, the current detection packages the data which do not belong to the current electric automobile in the uploading queue into a second data packet, and forwards the second data packet to the target detection terminal through the P2P network.

The embodiment is characterized in that all data of the same electric automobile are independently sent to the same target detection terminal.

In the case that the first idle state detection terminal does not exist, a second embodiment is provided, as shown in fig. 9, the detection terminal packages data not belonging to the current electric automobile into a second data packet, and forwards the second data packet to the target detection terminal through the P2P network, and specifically includes:

step S702, the current detection terminal acquires task states of other detection terminals, and at least two detection terminals in a second idle state are used as target detection terminals together; the second idle state is a task state when the detection terminal is connected with an OBD diagnosis interface of the electric automobile and the uploading queue is empty.

It should be noted that, once the upload queue is empty, this means that the detection terminal does not need to transmit data to the cloud server through the cellular network module, that is, the detection terminal is idle, and may be used to help upload the second data packet to the cloud server. However, since the connection between the detection terminal and the OBD diagnostic interface of the electric vehicle indicates that the target detection terminal is located on the electric vehicle of another person, the situation may be that the charging is completed but the vehicle owner does not arrive. It may also be the case that the vehicle owner is not planning the object detection device on board. Therefore, there may be a data security problem with the object detection terminal helping to upload the second data packet to the cloud server.

Step S704, the current detection terminal packages the data not belonging to the current electric automobile into a second data packet, encrypts the second data packet, and then segments the encrypted second data packet into encrypted data packets corresponding to the number of the target detection terminals according to a preset segmentation strategy.

For example, when the current detection terminal is the detection terminal 1 and the detection terminals 2, 3, and 4 are used as target detection terminals, the data acquired by the detection terminal 1 may be leaked or stolen from the detection terminals 2, 3, and 4. To solve this problem, the second packet needs to be encrypted and then subdivided into multiple encrypted packets.

Step S706, the current detection terminal forwards a corresponding encrypted data packet to each target detection terminal through the P2P network.

And respectively sending each encrypted data packet belonging to the same electric automobile to different target detection terminals. For example, the second packet belonging to the electric vehicle P1 is encrypted and then divided into 3 encrypted packets: q1, Q2, Q3, and then Q1, Q2, Q3 are sent to the detection terminal 2, the detection terminal 3, and the detection terminal 4, respectively.

It will be understood that if it is recognized that NAND FLASH has data belonging to 3 electric vehicles, for example, three electric vehicles P1, P2, and P3, 3 second data packets respectively corresponding to P1, P2, and P3 are formed, and each second data packet is encrypted and divided into 3 parts and then transmitted to the detection terminal 2, the detection terminal 3, and the detection terminal 4, respectively.

Because the second data packet is divided after the data encryption, any part of the second data packet is leaked in time, all information cannot be leaked, and the information safety of the vehicle owner is protected.

The preset segmentation strategy specifically comprises the following steps:

For example, the second data packet belonging to the electric vehicle P1 is encrypted and then divided into 3 encrypted data packets: the network speed ratios of the cellular network modules corresponding to the detection terminal 2, the detection terminal 3 and the detection terminal 4 are as follows: 1:2:3, and setting the ratio of the data volumes of Q1, Q2 and Q3 as follows: 1:2:3. The reason is to ensure that the three components Q1, Q2 and Q3 belonging to the electric automobile P1 can be uploaded to the cloud server as simultaneously as possible. Since the second data packet belonging to the electric vehicle P1 is encrypted and split, the cloud server needs to temporarily store the received three of Q1, Q2 and Q3 in the temporary memory allocated to the RAM thereof, and after all the three are received, combine and decrypt the data packets, and then analyze the data packets or store the data packets in the local storage of the cloud server. Because the cloud server needs to process a large amount of data, the memory overhead of the RAM is large, and in order to enable the import of the cloud server to recover the temporary memories distributed to the Q1, the Q2 and the Q3 by the RAM, the time interval of the transmission of the three to the cloud server needs to be ensured to be as short as possible. Therefore, the division ratio needs to be planned in accordance with the above formula.

As shown in fig. 6, in one embodiment, there is further provided a method for detecting a wireless communication battery based on a charging pile, where before detecting whether a forwarding condition is satisfied, the method further includes that a detection terminal determines a storage space required for a current detection task;

in step S402, the detection terminal obtains a time period required for the completion of charging of the current electric vehicle estimated by the BMS.

Specifically, the BMS estimates a time period required for the current electric vehicle to complete charging according to the SOC (i.e., the remaining power) and the current charging current of the charging gun. For example, if the battery capacity of the electric vehicle is 50AH, the remaining power of the electric vehicle is 20%, and the current currently output by the charging gun is 50A, that is, the charging rate of 0.5C, the BMS estimates that the current electric vehicle requires 96 minutes to complete charging.

In step S404, the detection terminal determines the data amount of the data collected by the BMS in the time corresponding to the N sampling periods.

For example, in one example, N is 5, the time corresponding to each sampling period of the bms is 30 seconds, the data amount of 5 data acquired in 150 seconds corresponding to 5 sampling periods is sequentially 1.8M, 2.2M, 2M, 2.1M, 1.9M, and the data amount of 10M acquired in 5 sampling periods by the bms.

In step S406, the detection terminal calculates the storage space required by the detection task according to the time required by the current electric automobile to complete charging and the data volume of the data acquired by the BMS in the time corresponding to the N sampling periods.

150 seconds is 2.5 minutes, and assuming that data is acquired every 2.5 minutes in the charging process, 96 minutes later calculate that the storage space required by the detection task is 96/2.5×10m=384M. The detection task is an event corresponding to the detection of the charging integration mode from the start to the completion of charging.

Because the data quantity of each acquired data has a small difference, the data quantity of a plurality of sampling periods is counted to estimate the storage space required by the detection task, and a more accurate estimation result can be obtained by utilizing an average principle.

In the above embodiment, a relatively accurate estimation result can be obtained by counting and averaging the fluctuation data amount of a period of time, but in the detection and charging integrated mode, the current output by the charging pile to the electric vehicle is not completely constant, but the output current needs to be adjusted according to the working condition file, and the different output currents can cause the change of the required length for completing the charging.

As shown in fig. 7, in an embodiment, there is further provided a method for detecting a wireless communication battery based on a charging pile, where the detecting terminal calculates a storage space required by a current detection task according to a time period required by the current electric vehicle to complete charging and a data amount of data collected by the BMS in a time corresponding to N sampling periods, and specifically includes:

step S502, the detection terminal corrects the required time for completing the charging of the current electric automobile.

wherein,for the time length required for completing the charging of the current electric automobile after correction, < > for>Estimating for BMSIs required to complete the charging of the electric automobile at present, < >>Charging rate when charging electric car for charging pile, < ->The charging multiplying power is output for the charging pile according to the working condition file when the charging current is tested according to the ith test; />And outputting the ith test charging current duration for the charging pile according to the working condition file.

When constant current charging is performed according to a certain charging rate, the corresponding charging current is proportional to the charging rate. For example, for a 50AH battery, the constant charge current corresponding to a 1C charge rate is 50A, and the constant charge current corresponding to a 2C charge rate is 100A. In the invention, two types of output currents are set in the working condition file, one type is charging current, and the other type is test charging current. The preset working condition file can control the charging pile to sequentially control the generation of a test charging current with a 1.2C charging rate lasting for 5 minutes, a test charging current with a 1.5C charging rate lasting for 5 minutes and a test charging current with a 0.5C charging rate lasting for 5 minutes from the 5 th minute of power supply connected with the electric automobile, so that the dynamic performance of the battery under different working conditions is obtained, and the preset charging current is recovered from the 20 th minute to be charged until the battery is full. The charging pile is connected with the electric automobile to supply power to the 5 th minute, and the preset charging current is recovered from the 20 th minute to perform charging until the charging current is fully adopted. The current electric vehicle charging completion time estimated by the BMS is calculated based on only the charging current.

In the present invention, the characteristic of detecting the charge integration mode is considered and corrected. As described above, if the detection charging integrated mode is not in, the charging current is testedEqual toCharging current->，/>Equal to->. In the detection charging integration mode, if the test charging currents are all greater than the charging current, then +.>Less than->The method comprises the steps of carrying out a first treatment on the surface of the If the test charging currents are smaller than the charging current, then +.>Is greater than->. For example, an electric vehicle with a battery capacity of 50AH has a residual capacity of 20% and a current currently output by the charging gun of 50A, namely +.>The BMS estimates that the current electric vehicle charge is completed for 96 minutes, 1.6 hours, with a charge rate of=0.5c. Namely +.>96 minutes. And the 1 st test charging current output according to the working condition file has a charging rate of 1.2C and a duration of 1/12h, the 2 nd test charging current has a charging rate of 1.5C and a duration of 1/12h, the 1 st test charging current has a charging rate of 0.5C and a duration of 1/12h, and the charging rate is calculated by the following formula:

in step S504, the detection terminal calculates a storage space required by the current detection task according to the corrected time period required by the completion of charging the current electric automobile and the data volume of the data acquired by the BMS in the time corresponding to the N sampling periods.

In this embodiment, according to the characteristics of the detection and charging integrated mode, the accuracy of estimating the time length required by the electric automobile to complete charging is improved, so that the accuracy of calculating the storage space required by the detection task is improved.

In one embodiment, a computer-readable storage medium is provided, the computer-readable storage medium storing computer-executable instructions for causing a computer to perform the steps of a method for detecting a wireless communication battery based on a charging stake as described above. The step of a wireless communication battery detection method based on a charging post may be the step of a wireless communication battery detection method based on a charging post in the above-described respective embodiments.

Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRA), memory bus direct RAM (RDRA), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

Claims

1. The wireless communication battery detection method based on the charging pile is applied to a battery detection system and is characterized in that the battery detection system comprises a plurality of groups of charging equipment, each group of charging equipment comprises a charging pile and a detection terminal which is arranged separately from the charging pile, a containing bin is arranged on the charging pile, and the containing bin is used for containing the detection terminals; the detection terminal comprises a cellular network module and a storage battery for supplying power, and is connected with an OBD diagnosis interface of the electric automobile so as to acquire data of each battery cell from a BMS of the electric automobile and upload the data of each battery cell to a cloud server through the cellular network module, and a charging gun of a charging pile is connected with a charging port of the electric automobile so as to charge the battery of the electric automobile; the detection terminal is provided with an RFID electronic tag, and an RFID reader is arranged in the accommodating bin;

The method comprises the following steps:

2. The method for detecting the wireless communication battery based on the charging pile according to claim 1, wherein a shielding layer is attached to the inner surface of the bin gate of the accommodating bin and the inner surface of the accommodating bin, and the shielding layer is made of an RFID shielding material.

3. The method for detecting the wireless communication battery based on the charging pile according to claim 1, wherein the detection terminals further comprise wireless communication modules, and the detection terminals of the charging devices in each group form a P2P network based on the corresponding wireless communication modules; the method further comprises the steps of:

4. The method for detecting a wireless communication battery based on a charging pile according to claim 3, wherein before detecting whether the forwarding condition is satisfied, the method further comprises the step that the detection terminal determines a storage space required by the detection task;

5. The method for detecting the wireless communication battery based on the charging pile according to claim 4, wherein the detecting terminal calculates the storage space required by the detecting task according to the time required by the current electric automobile charging and the data amount of the data acquired by the BMS in the time corresponding to the N sampling periods, specifically comprising:

the correction process specifically comprises the following steps of correcting the required length for completing the charging of the current electric automobile according to the following formula:

wherein (1)>For the time length required for completing the charging of the current electric automobile after correction, < > for>The current electric vehicle charge estimated for the BMS is completed for a desired period of time,/->Charging rate when charging electric car for charging pile, < ->The charging multiplying power is output for the charging pile according to the working condition file when the charging current is tested according to the ith test; />The method comprises the steps of outputting an ith test charging current duration for a charging pile according to a working condition file;

6. The method for detecting a wireless communication battery based on a charging pile according to claim 3, wherein the detecting terminal packages data not belonging to the current electric automobile into a second data packet, and forwards the second data packet to the target detecting terminal through a P2P network, specifically comprising:

7. The method for detecting a wireless communication battery based on a charging pile according to claim 3, wherein the detecting terminal packages data not belonging to the current electric automobile into a second data packet, and forwards the second data packet to the target detecting terminal through a P2P network, specifically comprising:

8. The method for detecting a wireless communication battery based on a charging pile according to claim 7, wherein the preset segmentation strategy specifically comprises:

wherein (1)>The data amount of the ith encrypted data packet; />The network speed of the cellular network module of the terminal is detected for the purpose of receiving the ith encrypted data packet.

9. The wireless communication battery detection system based on the charging piles is characterized by comprising a plurality of groups of charging equipment, wherein each group of charging equipment comprises a charging pile and a detection terminal which is arranged separately from the charging pile, a containing bin is arranged on the charging pile, and the containing bin is used for containing the detection terminal; the detection terminal comprises a cellular network module and a storage battery for supplying power, and is connected with an OBD diagnosis interface of the electric automobile so as to acquire data of each battery cell from a BMS of the electric automobile and upload the data of each battery cell to a cloud server through the cellular network module, and a charging gun of a charging pile is connected with a charging port of the electric automobile so as to charge the battery of the electric automobile; the detection terminal is provided with an RFID electronic tag, and an RFID reader is arranged in the accommodating bin; wherein,