CN114814332A - Battery pack offline detection voltage sampling system, method, device, terminal and storage medium - Google Patents

Battery pack offline detection voltage sampling system, method, device, terminal and storage medium Download PDF

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Publication number
CN114814332A
CN114814332A CN202210354369.7A CN202210354369A CN114814332A CN 114814332 A CN114814332 A CN 114814332A CN 202210354369 A CN202210354369 A CN 202210354369A CN 114814332 A CN114814332 A CN 114814332A
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voltage
detection
offline
fault
battery pack
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刘渺然
刘轶鑫
翟旭亮
张伟杰
杨雪枫
荣常如
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FAW Group Corp
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FAW Group Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0084Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring voltage only
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R15/00Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
    • G01R15/14Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks
    • G01R15/18Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks using inductive devices, e.g. transformers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Secondary Cells (AREA)

Abstract

The invention discloses a system, a method and a device for sampling offline detection voltage, a terminal and a storage medium, belonging to the technical field of batteries and comprising the following steps: responding to a battery PACK offline detection voltage sampling instruction, and sending an offline voltage detection starting instruction to a voltage processing unit by the battery PACK offline controller; the voltage processing unit executes voltage fluctuation detection after receiving a voltage detection starting instruction for starting the offline and generates voltage fluctuation detection result data to be sent to the battery PACK offline controller; and the battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed voltage fluctuation detection result data to the human-computer interaction module for display. This patent is mainly through increasing functions such as the fluctuation of monomer voltage detects, voltage curve characteristic identification in the BMS procedure, realizes under the prerequisite that does not increase the cost, discerns monomer voltage sampling function and battery body unusual.

Description

Battery pack offline detection voltage sampling system, method, device, terminal and storage medium
Technical Field
The invention discloses a system, a method and a device for sampling offline detection voltage, a terminal and a storage medium, and belongs to the technical field of batteries.
Background
When the battery monomer and the module are offline, a supplier uses the high-precision voltage measuring terminal to measure the terminal voltage of all the monomers, and judges whether the battery monomer is abnormal or not by checking whether the terminal voltage is in a reasonable range or not. During battery pack offline detection, the common method is to compare the cell voltage result reported after sampling by the BMS with the voltage parameter provided by the battery supplier, so that whether the sampling of the BMS is normal or not is verified, and in turn, whether the battery is normal or not can also be verified. Only in the case where the battery body and the BMS are normally sampled, the result of the sampling is consistent with the voltage parameter provided by the battery supplier. The BMS sends all the monomer voltages to the CAN bus, the battery pack offline detection terminal reads the CAN message, one sampling data is used for verification, and if the voltage parameter exceeds the voltage parameter range provided by a battery supplier, the problem is considered to exist. Then, the battery body, the sampling chip, the wiring harness and the like are manually checked one by one to determine problems.
However, the one-time sampling voltage is normal, which does not prove that the voltage sampling function and the battery body are really free of problems because the following reasons may cause the sampling voltage to fluctuate: the sampling chip is in an abnormal state due to the impact of the PACK assembly process on the sampling chip or the random failure of hardware and the like, the sampling can be completed, but the sampling result is unstable, the reported voltage value has large fluctuation and is normal sometimes and abnormal sometimes; secondly, the single sampling line is in cold joint, and the contact resistance is sometimes large or small, so that the sampling result fluctuates; thirdly, abnormal chemical reaction is carried out in the single battery, and the terminal voltage rapidly decreases or increases. When the sampling data used for judging the verification is just in the normal interval, the battery PACK can be mistakenly offline for detection, so that the problem of missed detection is caused.
When the battery package rolls off the production line, whether battery monomer and BMS sampling function are normal generally need to detect, and usually static detection once BMS reports monomer voltage whether unanimous with the range of supplying goods. The method can detect more serious faults, such as sampling line disconnection and the like. However, the following situations may cause the cell voltage sampling to be abnormal but not recognized: the sampling chip is in an abnormal state due to the impact of the PACK assembly process on the sampling chip or the random failure of hardware and the like, the sampling can be completed, but the sampling result is unstable, the reported voltage value has large fluctuation and is normal sometimes and abnormal sometimes; secondly, the single sampling line is in cold joint, and the contact resistance is sometimes large or small, so that the sampling result fluctuates; thirdly, abnormal chemical reaction is carried out in the single battery, and the terminal voltage rapidly decreases or increases. The test method for statically detecting the primary cell voltage has very limited coverage for detecting faults.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a battery pack offline detection voltage sampling system, a battery pack offline detection voltage sampling method, a battery pack offline detection voltage sampling device, a battery pack offline detection terminal and a battery pack offline detection storage medium.
The technical scheme of the invention is as follows:
according to a first aspect of the embodiments of the present invention, there is provided a battery pack offline detection voltage sampling system, including: battery PACK offline CAN communication terminal, human-computer interaction module, battery PACK offline controller and voltage detection module, the voltage detection module includes: monomer voltage sensor, total voltage sensor, CAN communication equipment, voltage processing unit respectively with monomer voltage sensor, total voltage sensor and CAN communication equipment electric connection, battery PACK controller of inserting the production line passes through battery PACK CAN communication terminal and CAN communication equipment electric connection that inserts the production line, the man-machine interaction module is connected with battery PACK controller of inserting the production line.
Preferably, the battery PACK offline controller is used for sending an offline voltage detection starting instruction to the voltage processing unit through a battery PACK offline CAN communication terminal and CAN communication equipment, the voltage processing unit is used for receiving the offline voltage detection starting instruction sent by the battery PACK offline controller, executing voltage fluctuation detection and generating voltage fluctuation detection result data to be sent to the battery PACK offline controller, the battery PACK offline controller is also used for receiving the detection result and sending the detection result data to the human-computer interaction module for display, and the monomer voltage sensor and the total voltage sensor are respectively used for detecting monomer voltage and total voltage.
According to a second aspect of the embodiments of the present invention, there is provided a method for sampling a battery pack offline detection voltage, which is applied to the system of the first aspect, and includes:
responding to a battery PACK offline detection voltage sampling instruction, and sending an offline voltage detection starting instruction to a voltage processing unit by the battery PACK offline controller;
the voltage processing unit receives a voltage detection starting instruction for starting the offline, executes voltage fluctuation detection to determine voltage fluctuation detection result data and sends the voltage fluctuation detection result data to the battery PACK offline controller;
and the battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed voltage fluctuation detection result data to the human-computer interaction module for display.
Preferably, the voltage processing unit, after receiving the voltage detection start instruction for starting the offline voltage detection, executes voltage fluctuation detection to determine voltage fluctuation detection result data and sends the voltage fluctuation detection result data to the battery PACK offline controller, and the voltage processing unit includes:
after receiving a starting command of starting offline voltage detection, a voltage processing unit acquires detection duration through the starting command of starting offline voltage detection;
acquiring voltage data and total voltage data of all monomers in the detection duration according to the detection duration;
determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises: the method comprises the following steps of fault cell data, voltage fluctuation fault detection results and voltage fluctuation fault-free detection result data, wherein the fault cell data comprise: the serial number of the fault single body, the serial number of the fault single body corresponding module and the serial number of the fault single body sampling chip are obtained;
and sending the voltage fluctuation detection result data to a PACK offline controller.
Preferably, the executing of the voltage fluctuation detection and the generation of the voltage fluctuation detection result data after receiving the start-up offline voltage detection start-up instruction includes:
determining the difference value between the maximum value and the minimum value of the monomers in the detection time length according to the voltage data of all the monomers in the detection time length, and determining a total voltage sampling curve according to the total voltage data of all the monomers in the detection time length and the detection time length;
respectively judging whether the difference value of the maximum value and the minimum value of the monomer in the detection time is greater than a first threshold value:
recording a plurality of fault single data, and executing the next step;
if not, generating voltage fluctuation fault-free detection result data
And determining voltage fluctuation fault detection result data according to the plurality of fault single data, the total voltage sampling curve and the detection duration.
Preferably, the step of determining the voltage fluctuation fault detection result data according to the plurality of fault single data, the total voltage sampling curve and the detection duration and feeding back the voltage fluctuation fault detection result data to the offline controller of the battery PACK includes:
determining a plurality of fault single voltage sampling curves according to the data and the detection duration of a plurality of fault single bodies;
respectively determining time points corresponding to the maximum value and the minimum value of the plurality of single fault voltages through the plurality of single fault voltage sampling curves;
respectively determining the voltage sum of the single body at the time points corresponding to the maximum value and the minimum value of the voltage of the fault single body according to the time points corresponding to the maximum value and the minimum value of the voltage of the fault single body and the voltage data of the single body;
determining total voltages of time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively through time points and total voltage sampling curves corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively, and obtaining corresponding difference values of the total voltages of the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively and the single voltages of the single at the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively through the sum of the single voltages of the single at the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively;
respectively judging whether the total voltage of the time points corresponding to the maximum value and the minimum value of the voltage of the plurality of fault cells is greater than a second threshold value according to the corresponding difference value of the total voltage of the cells at the time points corresponding to the maximum value and the minimum value of the voltage of the plurality of fault cells:
if so, the voltage fluctuation fault detection result data is abnormal of the sampling chip;
if not, executing the next step;
determining the variation amplitude and trend of the single voltage at a plurality of corresponding time points relative to the last sampling moment through the time points corresponding to the maximum value and the minimum value of the fault single voltage respectively;
determining the variation amplitude and trend of the monomer voltages adjacent to the series connection positions of the plurality of corresponding monomers relative to the last sampling moment according to the voltage data of the monomers and the time points corresponding to the maximum value and the minimum value of the plurality of fault monomer voltages, and judging whether the variation amplitude and the trend of the monomer voltages adjacent to the series connection positions of the plurality of corresponding monomers relative to the last sampling moment are the same with the variation amplitude and the trend of the monomer voltages at the plurality of corresponding time points respectively:
if yes, the voltage fluctuation fault detection result data is that the battery body is abnormal;
and if not, the voltage fluctuation fault detection result data is that the voltage sampling line is abnormal.
According to a third aspect of the embodiments of the present invention, there is provided a battery pack offline detection voltage sampling device applied to the system of the first aspect, including:
the sending instruction module is used for responding to a battery PACK offline detection voltage sampling instruction, and the battery PACK offline controller sends an offline voltage detection starting instruction to the voltage processing unit;
the execution module is used for executing voltage fluctuation detection to determine voltage fluctuation detection result data after the voltage processing unit receives a voltage detection starting instruction for starting the offline and sending the voltage fluctuation detection result data to the battery PACK offline controller;
and the display result module is used for sending the received voltage fluctuation detection result data to the human-computer interaction module for displaying after the battery PACK offline controller processes the received voltage fluctuation detection result data.
Preferably, the execution module is configured to:
after receiving a starting command of starting offline voltage detection, a voltage processing unit acquires detection duration through the starting command of starting offline voltage detection;
acquiring voltage data and total voltage data of all monomers in the detection duration according to the detection duration;
and determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises: the method comprises the following steps of fault cell data, voltage fluctuation fault detection results and voltage fluctuation fault-free detection result data, wherein the fault cell data comprise: the serial number of the fault single body, the serial number of the fault single body corresponding module and the serial number of the fault single body sampling chip are obtained;
and sending the voltage fluctuation detection result data to a PACK offline controller.
According to a fourth aspect of the embodiments of the present invention, there is provided a terminal, including:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
the method of the first aspect of the embodiments of the present invention is performed.
According to a fifth aspect of embodiments of the present invention, there is provided a non-transitory computer-readable storage medium, wherein instructions, when executed by a processor of a terminal, enable the terminal to perform the method of the first aspect of embodiments of the present invention.
According to a sixth aspect of embodiments of the present invention, there is provided an application program product, which, when running on a terminal, causes the terminal to perform the method of the first aspect of embodiments of the present invention.
The invention has the beneficial effects that:
the patent provides a battery pack offline detection voltage sampling system, method, device, terminal and storage medium, which mainly realize the identification of the abnormality of a single voltage sampling function and a battery body on the premise of not increasing the cost by adding the functions of single voltage fluctuation detection, voltage curve characteristic identification and the like in a BMS program. And sending a starting instruction to the BMS by the offline terminal, and the BMS executes the functions and reports the checking result to improve the detection coverage. Meanwhile, through voltage curve characteristic identification, the most probable specific types of faults are given, such as battery body abnormity, voltage sampling line cold welding, sampling chip work abnormity and the like, the problem of rapid positioning of a factory during battery PACK production is facilitated, and the problem troubleshooting efficiency is improved. The function is opened through the terminal that rolls off the production line, makes the procedure only move when rolling off the production line, can promote the coverage that rolls off the production line and detect and can make this function of self-closing after rolling off the production line again, thereby avoids increasing BMS system load and influences BMS normal function.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
Fig. 1 is a block diagram illustrating a configuration of a battery pack offline detection voltage sampling system according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method of sampling battery pack offline detection voltage in accordance with an exemplary embodiment;
FIG. 3 is a flow chart illustrating a method of sampling battery pack offline detection voltage in accordance with an exemplary embodiment;
FIG. 4 is a flow chart illustrating a method of sampling battery pack offline detection voltage in accordance with an exemplary embodiment;
FIG. 5 is a block diagram illustrating a schematic structure of a battery pack offline detection voltage sampling apparatus according to an exemplary embodiment;
fig. 6 is a schematic block diagram of a terminal structure shown in accordance with an example embodiment.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example one
Fig. 1 is a block diagram illustrating a structure of a battery pack offline detection voltage sampling system according to an exemplary embodiment, including: battery PACK offline CAN communication terminal, man-machine interaction module, battery PACK offline controller and voltage detection module, the voltage detection module is the partial structure of battery management system on the new energy automobile, and the voltage detection module includes: monomer voltage sensor, total voltage sensor, CAN communication equipment, voltage processing unit respectively with monomer voltage sensor, total voltage sensor and CAN communication equipment electric connection, battery PACK controller of inserting the production line passes through battery PACK CAN communication terminal and CAN communication equipment electric connection that inserts the production line, the man-machine interaction module is connected with battery PACK controller of inserting the production line.
The battery PACK offline controller is used for sending an offline voltage detection opening instruction to the voltage processing unit through the battery PACK offline CAN communication terminal and the CAN communication equipment, the voltage processing unit is used for receiving the offline voltage detection opening instruction sent by the battery PACK offline controller, executing voltage fluctuation detection and generating voltage fluctuation detection result data and sending the voltage fluctuation detection result data to the battery PACK offline controller, the battery PACK offline controller is also used for receiving the detection result, processing the detection result and sending the detection result data to the human-machine interaction module for display, and the monomer voltage sensor and the total voltage sensor are respectively used for detecting monomer voltage and total voltage.
Example two
Fig. 2 is a flowchart of a battery pack offline detection voltage sampling method according to an exemplary embodiment, which is applied to the system according to the first embodiment, the embodiment of the present invention is implemented by a terminal, the terminal may be a smart phone, a desktop computer, a notebook computer, a cloud terminal, and the like, the terminal at least includes a CPU, and the specific steps include:
step S10, in response to the battery PACK offline detection voltage sampling instruction, the battery PACK offline controller sends an instruction to start offline voltage detection to the voltage processing unit, and the specific contents are as follows:
the command sending and result reading of the battery PACK offline controller are realized based on a UDS diagnostic service (a unified diagnostic service, a diagnostic communication protocol in an automotive electronic ECU environment, which is usually realized based on a CAN bus, and is realized based on the CAN bus in the invention), and the offline terminal sends an offline voltage detection starting instruction for starting the offline voltage detection to the voltage processing unit through the UDS 0x31 service.
In step S20, after receiving the command to start the offline voltage detection, the voltage processing unit executes voltage fluctuation detection to determine voltage fluctuation detection result data and sends the voltage fluctuation detection result data to the battery PACK offline controller, where the specific content is as follows:
after receiving the start command of the detection of the voltage of the start-up lower line, the voltage processing unit acquires the detection duration through the start command of the detection of the voltage of the start-up lower line, and acquires the voltage data and the total voltage data of all the monomers in the detection duration according to the detection duration as shown in fig. 3;
and determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises the following steps: fault cell data, voltage fluctuation fault detection results and voltage fluctuation non-fault detection result data. The specific content of the voltage fluctuation detection result data is determined as follows:
firstly, determining the difference value between the maximum value and the minimum value of the single body in the detection time length according to the voltage data of all the single bodies in the detection time length. And detecting the voltage value of each single body, comparing the voltage value with the voltage value at the previous moment, judging whether the detected time reaches the specified detection time length, if the offline fluctuation detection time is over, and if the specified detection time length is not reached, repeatedly detecting the voltage value of each single body and comparing the voltage value with the voltage value at the previous moment. And until the offline fluctuation detection time is finished, obtaining the historical maximum value and the historical minimum value of each monomer, and subtracting the minimum value from the maximum value to obtain the historical maximum fluctuation of each monomer in the time period, thereby determining the difference value between the maximum value and the minimum value of each monomer in the detection time period.
Determining a total voltage sampling curve according to the total voltage data and the detection duration of all the monomers in the detection duration, and respectively judging whether the total voltage sampling curve is greater than a first threshold value according to the difference value between the maximum value and the minimum value of all the monomers in the detection duration:
recording a plurality of fault single data, and determining voltage fluctuation fault detection result data according to the plurality of fault single data, a total voltage sampling curve and detection duration, wherein the fault single data comprises: the number of the faulty single body, the number of the faulty single body corresponding module and the number of the faulty single body sampling chip, which are described in the embodiment, "a number" is a number value which is greater than or equal to 1, and cannot be understood as a limitation on the present invention;
and if not, generating voltage fluctuation fault-free detection result data.
And sending the voltage fluctuation detection result data to a PACK offline controller.
In the process, after each judgment, whether the difference value between the maximum value and the minimum value in the detection time length of one battery monomer is greater than the first threshold value is judged respectively, and whether all the monomers are judged completely is judged:
if yes, executing the next step, namely determining voltage fluctuation fault detection result data according to the single fault data, the total voltage sampling curve and the detection duration, and feeding the voltage fluctuation fault detection result data back to the battery PACK offline controller;
and if not, judging the next battery monomer until all the monomers are judged to be finished, and executing the next step.
Wherein, the voltage fluctuation fault detection result data is determined according to the plurality of fault single data, the total voltage sampling curve and the detection duration, as shown in fig. 4, the specific steps include:
determining a plurality of fault single voltage sampling curves according to the data and the detection duration of a plurality of fault single bodies;
respectively determining time points k corresponding to the maximum value and the minimum value of the plurality of fault single voltages through a plurality of fault single voltage sampling curves;
respectively determining the voltage sum Vsum of the single body at the time point k corresponding to the maximum value and the minimum value of the voltage of the fault single body through the time point k corresponding to the maximum value and the minimum value of the voltage of the fault single body and the voltage data of the single body;
determining total voltage Vdc of time points k corresponding to the maximum value and the minimum value of the plurality of fault cell voltages respectively through time points k and total voltage sampling curves corresponding to the maximum value and the minimum value of the plurality of fault cell voltages respectively, and obtaining corresponding difference values of the total voltage Vdc of the time points k corresponding to the maximum value and the minimum value of the plurality of fault cell voltages respectively and the total voltage Vsum of the cell at the time points k corresponding to the maximum value and the minimum value of the plurality of fault cell voltages respectively through the total Vsum of the cell at the time points k corresponding to the maximum value and the minimum value of the plurality of fault cell voltages respectively;
respectively judging whether the total voltage of the time point k corresponding to the maximum value and the minimum value of the voltage of the plurality of fault single bodies and the difference value corresponding to the sum of the voltage of the single bodies at the time point k corresponding to the maximum value and the minimum value of the voltage of the plurality of fault single bodies are larger than a second threshold value:
if so, feeding back the data of the voltage fluctuation fault detection result, which is 'abnormal sampling chip', to the battery PACK offline controller;
if not, executing the next step;
determining the variation amplitude delta U _ n and the variation trend of the single voltage at a plurality of corresponding time points relative to the last sampling time (namely k-1 sampling time) respectively through the time points k corresponding to the maximum value and the minimum value of the single voltage of a plurality of faults;
determining the variation amplitude DeltaU _ n-1 and DeltaU _ n +1 and the trend of the monomer voltages adjacent to the serial positions of a plurality of corresponding monomers relative to the last sampling time (namely k-1 sampling time) and judging whether the variation amplitude DeltaU _ n and the trend of the monomer voltages at a plurality of corresponding time points relative to the last sampling time are the same or not through the voltage data of the monomers and the time points k corresponding to the maximum value and the minimum value of the plurality of fault monomer voltages:
if so, feeding back the voltage fluctuation fault detection result data as 'abnormal battery body' to the battery PACK offline controller;
and if not, namely the signs of the variation amplitudes delta U _ n-1 and delta U _ n +1 are opposite, and the voltage fluctuation fault detection result data is 'abnormal voltage sampling line'.
In the process, the battery PACK offline controller can acquire whether the voltage processing unit detects the completion of the execution through the UDS 0x22 service, if the completion of the execution is finished, the voltage fluctuation diagnosis completion mark is valid, the battery PACK offline controller can send a reading instruction through the voltage processing unit, and the voltage processing unit feeds back voltage fluctuation detection result data; if not, the repeated voltage acquisition processing unit detects whether the execution is completed. In another embodiment, the UDS diagnostic service may use a CAN message to replace the manner of triggering detection and reading the diagnostic result, for example, 22 diagnostic service, 31 diagnostic service, etc. may be converted into the manner of sending CAN message trigger and reading from CAN message. In this embodiment, although the UDS 0x31 service and the UDS 0x22 service are used, the technical solution of this embodiment is implemented by using other sub-services or parameters.
And step S30, the battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed data to the human-computer interaction module for display.
The battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed data to the human-computer interaction module for displaying, and troubleshooting personnel can pertinently perform troubleshooting confirmation according to the fault position and the reason.
This patent is mainly through increasing functions such as the fluctuation of monomer voltage detects, voltage curve characteristic identification in the BMS procedure, realizes under the prerequisite that does not increase the cost, discerns monomer voltage sampling function and battery body unusual. And sending a starting instruction to the BMS by the offline terminal, and the BMS executes the functions and reports the checking result to improve the detection coverage. Meanwhile, through voltage curve characteristic identification, the most probable specific types of faults are given, such as battery body abnormity, voltage sampling line cold welding, sampling chip work abnormity and the like, the problem of rapid positioning of a factory during battery PACK production is facilitated, and the problem troubleshooting efficiency is improved. The function is opened through the terminal that rolls off the production line, makes the procedure only move when rolling off the production line, can promote the coverage that rolls off the production line and detect and can make this function of self-closing after rolling off the production line again, thereby avoids increasing BMS system load and influences BMS normal function.
EXAMPLE III
Fig. 5 is a block diagram of a battery pack offline detection voltage sampling device according to an exemplary embodiment, which is applied to the system according to the first embodiment, and includes:
the sending instruction module 210 is configured to, in response to a battery PACK offline detection voltage sampling instruction, send an offline voltage detection start instruction to the voltage processing unit by the battery PACK offline controller;
the execution module 220 is configured to execute voltage fluctuation detection after the voltage processing unit receives the voltage detection start instruction of starting the offline, generate voltage fluctuation detection result data, and send the voltage fluctuation detection result data to the offline controller of the battery PACK;
and a display result module 230, which displays data, and the battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed data to the human-computer interaction module for display.
Preferably, the executing module 220 is configured to:
after receiving a starting command of starting offline voltage detection, a voltage processing unit acquires detection duration through the starting command of starting offline voltage detection;
acquiring voltage data and total voltage data of all monomers in the detection duration according to the detection duration;
determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises: the method comprises the following steps of fault cell data, voltage fluctuation fault detection results and voltage fluctuation fault-free detection result data, wherein the fault cell data comprise: the serial number of the fault single body, the serial number of the fault single body corresponding module and the serial number of the fault single body sampling chip are obtained;
and sending the voltage fluctuation detection result data to a PACK offline controller.
This patent is mainly through increasing functions such as the fluctuation of monomer voltage detects, voltage curve characteristic identification in the BMS procedure, realizes under the prerequisite that does not increase the cost, discerns monomer voltage sampling function and battery body unusual. And sending a starting instruction to the BMS by the offline terminal, and the BMS executes the functions and reports the checking result to improve the detection coverage. Meanwhile, through voltage curve characteristic identification, the most probable specific types of faults are given, such as battery body abnormity, voltage sampling line cold welding, sampling chip work abnormity and the like, the problem of rapid positioning of a factory during battery PACK production is facilitated, and the problem troubleshooting efficiency is improved. The function is opened through the terminal that rolls off the production line, makes the procedure only move when rolling off the production line, can promote the coverage that rolls off the production line and detect and can make this function of self-closing after rolling off the production line again, thereby avoids increasing BMS system load and influences BMS normal function.
Example four
Fig. 6 is a block diagram of a terminal according to an embodiment of the present application, where the terminal may be the terminal in the foregoing embodiment. The terminal 300 may be a cloud terminal, a portable mobile terminal, such as: smart phones, tablet computers. The terminal 300 may also be referred to by other names such as user terminal, portable terminal, etc.
Generally, the terminal 300 includes: a processor 301 and a memory 302.
The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 301 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 302 may include one or more computer-readable storage media, which may be tangible and non-transitory. The memory 302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage terminals, flash memory storage terminals. In some embodiments, a non-transitory computer readable storage medium in memory 302 is to store at least one instruction for execution by processor 301 to implement a method of battery pack offline detection voltage sampling provided herein, the method comprising:
acquiring charge and discharge power in the operation process of the battery replacement battery through the voltage processing unit;
determining a user portrait according to the charging and discharging power and vehicle battery matching information in the battery replacement operation process, and respectively obtaining a battery control strategy and a battery replacement station charging strategy through the user portrait determination;
and the voltage processing unit and the battery replacement operation system respectively execute a battery control strategy and a battery replacement station charging strategy.
In some embodiments, the terminal 300 may further include: a peripheral terminal interface 303 and at least one peripheral terminal. Specifically, the peripheral terminal includes: at least one of radio frequency circuitry 304, touch display screen 305, camera 306, audio circuitry 307, positioning components 308, and power supply 309.
The peripheral terminal interface 303 may be used to connect at least one peripheral terminal related to I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, memory 302, and peripheral terminal interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the peripheral terminal interface 303 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 304 communicates with a communication network and other communication terminals through electromagnetic signals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The touch display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. Touch display screen 305 also has the ability to capture touch signals on or over the surface of touch display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. The touch screen display 305 is used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the touch display screen 305 may be one, providing the front panel of the terminal 300; in other embodiments, the touch display screen 305 may be at least two, respectively disposed on different surfaces of the terminal 300 or in a folded design; in still other embodiments, the touch display 305 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 300. Even more, the touch screen display 305 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The touch Display screen 305 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The camera assembly 306 is used to capture images or video. Optionally, camera assembly 306 includes a front camera and a rear camera. Generally, a front camera is used for realizing video call or self-shooting, and a rear camera is used for realizing shooting of pictures or videos. In some embodiments, the number of the rear cameras is at least two, and each of the rear cameras is any one of a main camera, a depth-of-field camera and a wide-angle camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting function and a VR (Virtual Reality) shooting function. In some embodiments, camera assembly 306 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
Audio circuit 307 is used to provide an audio interface between the user and terminal 300. Audio circuitry 307 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 301 for processing or inputting the electric signals to the radio frequency circuit 304 to realize voice communication. The microphones may be provided in plural numbers, respectively, at different portions of the terminal 300 for the purpose of stereo sound collection or noise reduction. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 301 or the radio frequency circuitry 304 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 307 may also include a headphone jack.
The positioning component 308 is used to locate the current geographic Location of the terminal 300 to implement navigation or LBS (Location Based Service). The Positioning component 308 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.
The power supply 309 is used to supply power to the various components in the terminal 300. The power source 309 may be alternating current, direct current, disposable batteries, or rechargeable batteries. When the power source 309 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of terminal 300 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
EXAMPLE five
In an exemplary embodiment, a computer-readable storage medium is further provided, on which a computer program is stored, which when executed by a processor implements a battery pack offline detection voltage sampling method as provided in all inventive embodiments of the present application.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
EXAMPLE six
In an exemplary embodiment, an application program product is also provided, which includes one or more instructions executable by the processor 301 of the apparatus to perform the battery pack offline detection voltage sampling method.
While embodiments of the invention have been disclosed above, it is not intended that they be limited to the applications set forth in the specification and examples. It can be applied to all kinds of fields suitable for the present invention. Additional modifications will readily occur to those skilled in the art. It is therefore intended that the invention not be limited to the exact details and illustrations described and illustrated herein, but fall within the scope of the appended claims and equivalents thereof.

Claims (10)

1. The utility model provides a battery package rolls off production line and detects voltage sampling system which characterized in that includes: battery PACK offline CAN communication terminal, human-computer interaction module, battery PACK offline controller and voltage detection module, the voltage detection module includes: monomer voltage sensor, total voltage sensor, CAN communication equipment, voltage processing unit respectively with monomer voltage sensor, total voltage sensor and CAN communication equipment electric connection, battery PACK controller of inserting the production line passes through battery PACK CAN communication terminal and CAN communication equipment electric connection that inserts the production line, the man-machine interaction module is connected with battery PACK controller of inserting the production line.
2. The battery PACK offline detection voltage sampling system according to claim 1, wherein the battery PACK offline controller is configured to send an offline voltage detection start instruction to the voltage processing unit through the battery PACK offline CAN communication terminal and the CAN communication device, the voltage processing unit is configured to receive the offline voltage detection start instruction sent by the battery PACK offline controller, execute voltage fluctuation detection and generate voltage fluctuation detection result data to be sent to the battery PACK offline controller, the battery PACK offline controller is further configured to receive the detection result data and send the detection result data to the human-computer interaction module for display, and the cell voltage sensor and the total voltage sensor are respectively configured to detect cell voltage and total voltage.
3. A battery pack offline detection voltage sampling method is applied to the system of claim 1, and is characterized by comprising the following steps:
responding to a battery PACK offline detection voltage sampling instruction, and sending an offline voltage detection starting instruction to a voltage processing unit by the battery PACK offline controller;
the voltage processing unit receives a voltage detection starting instruction for starting the offline, executes voltage fluctuation detection to determine voltage fluctuation detection result data and sends the voltage fluctuation detection result data to the battery PACK offline controller;
and the battery PACK offline controller processes the received voltage fluctuation detection result data and sends the processed voltage fluctuation detection result data to the human-computer interaction module for display.
4. The method for sampling the offline detection voltage of the battery PACK according to claim 3, wherein the voltage processing unit executes the voltage fluctuation detection after receiving the instruction for starting the offline voltage detection, determines the voltage fluctuation detection result data, and sends the voltage fluctuation detection result data to the offline controller of the battery PACK, and the method comprises the following steps:
after receiving a starting command of starting offline voltage detection, a voltage processing unit acquires detection duration through the starting command of starting offline voltage detection;
acquiring voltage data and total voltage data of all monomers in the detection duration according to the detection duration;
determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises: the method comprises the following steps of fault cell data, voltage fluctuation fault detection results and voltage fluctuation fault-free detection result data, wherein the fault cell data comprise: the serial number of the fault single body, the serial number of the fault single body corresponding module and the serial number of the fault single body sampling chip are obtained;
and sending the voltage fluctuation detection result data to a PACK offline controller.
5. The method for sampling the offline detection voltage of the battery pack according to claim 4, wherein the step of determining the voltage fluctuation detection result data according to the voltage data and the total voltage data of all the cells in the detection duration comprises the following steps:
determining the difference value between the maximum value and the minimum value of the monomers in the detection time length according to the voltage data of all the monomers in the detection time length, and determining a total voltage sampling curve according to the total voltage data of all the monomers in the detection time length and the detection time length;
respectively judging whether the difference value of the maximum value and the minimum value of the monomer in the detection time is greater than a first threshold value:
recording a plurality of fault single data, and executing the next step;
if not, generating voltage fluctuation fault-free detection result data;
and determining voltage fluctuation fault detection result data according to the plurality of fault single data, the total voltage sampling curve and the detection duration.
6. The method for sampling the offline detection voltage of the battery PACK according to claim 4, wherein the step of determining the voltage fluctuation fault detection result data according to the single fault data, the total voltage sampling curve and the detection duration and feeding the voltage fluctuation fault detection result data back to the offline controller of the battery PACK comprises the following steps:
determining a plurality of fault single voltage sampling curves according to the data and the detection duration of a plurality of fault single bodies;
respectively determining time points corresponding to the maximum value and the minimum value of the plurality of single fault voltages through the plurality of single fault voltage sampling curves;
respectively determining the voltage sum of the single body at the time points corresponding to the maximum value and the minimum value of the voltage of the fault single body according to the time points corresponding to the maximum value and the minimum value of the voltage of the fault single body and the voltage data of the single body;
determining total voltages of time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively through time points and total voltage sampling curves corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively, and obtaining corresponding difference values of the total voltages of the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively and the single voltages of the single at the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively through the sum of the single voltages of the single at the time points corresponding to the maximum values and the minimum values of the plurality of fault single voltages respectively;
respectively judging whether the total voltage of the time points corresponding to the maximum value and the minimum value of the voltage of the plurality of fault cells is greater than a second threshold value according to the corresponding difference value of the total voltage of the cells at the time points corresponding to the maximum value and the minimum value of the voltage of the plurality of fault cells:
if so, the voltage fluctuation fault detection result data is abnormal of the sampling chip;
if not, executing the next step;
determining the variation amplitude and trend of the single voltage at a plurality of corresponding time points relative to the last sampling moment through the time points corresponding to the maximum value and the minimum value of the fault single voltage respectively;
determining the variation amplitude and trend of the monomer voltages adjacent to the series connection positions of the plurality of corresponding monomers relative to the last sampling moment according to the voltage data of the monomers and the time points corresponding to the maximum value and the minimum value of the plurality of fault monomer voltages, and judging whether the variation amplitude and the trend of the monomer voltages adjacent to the series connection positions of the plurality of corresponding monomers relative to the last sampling moment are the same with the variation amplitude and the trend of the monomer voltages at the plurality of corresponding time points respectively:
if yes, the voltage fluctuation fault detection result data is that the battery body is abnormal;
and if not, the voltage fluctuation fault detection result data is that the voltage sampling line is abnormal.
7. A battery pack offline detection voltage sampling device applied to the system of claim 1, comprising:
the sending instruction module is used for responding to a battery PACK offline detection voltage sampling instruction, and the battery PACK offline controller sends an offline voltage detection starting instruction to the voltage processing unit;
the execution module is used for executing voltage fluctuation detection to determine voltage fluctuation detection result data after the voltage processing unit receives a voltage detection starting instruction for starting the offline and sending the voltage fluctuation detection result data to the battery PACK offline controller;
and the display result module is used for sending the received voltage fluctuation detection result data to the human-computer interaction module for displaying after the battery PACK offline controller processes the received voltage fluctuation detection result data.
8. The battery pack offline detection voltage sampling device according to claim 7, wherein the execution module is configured to:
after receiving a starting command of starting offline voltage detection, a voltage processing unit acquires detection duration through the starting command of starting offline voltage detection;
acquiring voltage data and total voltage data of all monomers in the detection duration according to the detection duration;
determining voltage fluctuation detection result data according to the voltage data and the total voltage data of all the monomers in the detection duration, wherein the voltage fluctuation detection result data comprises: the method comprises the following steps of fault cell data, voltage fluctuation fault detection results and voltage fluctuation fault-free detection result data, wherein the fault cell data comprise: the serial number of the fault single body, the serial number of the fault single body corresponding module and the serial number of the fault single body sampling chip are obtained;
and sending the voltage fluctuation detection result data to a PACK offline controller.
9. A terminal, comprising:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
a method of sampling a battery pack offline detection voltage according to any one of claims 3 to 6 is performed.
10. A non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform a method of battery pack offline sensing voltage sampling according to any one of claims 3 to 6.
CN202210354369.7A 2022-04-06 2022-04-06 Battery pack offline detection voltage sampling system, method, device, terminal and storage medium Pending CN114814332A (en)

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Publication number Priority date Publication date Assignee Title
JP2010035337A (en) * 2008-07-29 2010-02-12 Denso Corp Battery pack monitoring controller
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CN107976630A (en) * 2016-10-23 2018-05-01 重庆邮电大学 A kind of battery assembly system intelligent measurement platform
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