CN111257765A - Method for automatically generating automobile battery depth detection scheme - Google Patents
Method for automatically generating automobile battery depth detection scheme Download PDFInfo
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- CN111257765A CN111257765A CN202010069911.5A CN202010069911A CN111257765A CN 111257765 A CN111257765 A CN 111257765A CN 202010069911 A CN202010069911 A CN 202010069911A CN 111257765 A CN111257765 A CN 111257765A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
Abstract
The invention provides a method for automatically generating an automobile battery depth detection scheme in the field of battery detection, which comprises the following steps: step S10, creating a variable rule, and creating a battery depth detection template based on the variable rule; step S20, analyzing the battery depth detection template by using a variable rule to obtain a variable parameter; step S30, battery information of the electric vehicle to be detected is obtained; step S40, acquiring corresponding battery parameters from the battery information based on the variable parameters; and step S50, filling the battery parameters into the battery depth detection template by using the variable rule to generate a battery depth detection scheme. The invention has the advantages that: the method and the device have the advantages that the corresponding battery detection schemes are generated in a self-adaptive mode according to different models of automobiles to carry out depth detection, so that the workload of development and maintenance of the battery detection schemes is greatly reduced, the efficiency of battery detection is improved, and the cost of battery detection is reduced.
Description
Technical Field
The invention relates to the field of battery detection, in particular to a method for automatically generating an automobile battery depth detection scheme.
Background
With the aggravation of energy crisis and environmental problems, pure electric vehicles and hybrid electric vehicles are continuously popularized, batteries are the energy source of electric vehicles, and in order to ensure good performance of the batteries and prolong the service life of the batteries, the batteries need to be regularly detected.
When battery detection equipment of an electric automobile is sold to automobile manufacturers, matched battery detection schemes need to be developed for the automobile manufacturers, and the automobile manufacturers detect batteries of the electric automobile by using the battery detection schemes and the battery detection equipment.
Conventionally, a battery detection device edits a corresponding battery detection scheme according to a vehicle type provided by an automobile manufacturer before leaving a factory, and the battery detection device and the battery detection scheme are provided for the automobile manufacturer together. If a vehicle manufacturer develops a new vehicle type, a new battery detection scheme needs to be developed for the battery of the new vehicle type, and the vehicle manufacturer selects a corresponding battery detection scheme as required. However, the conventional method has the following disadvantages: 1. the battery detection scheme needs to be maintained, updated and upgraded, and the battery detection scheme needs to be developed and debugged according to different vehicle types, so that the battery detection scheme has numerous versions, is easy to generate BUG, and has large maintenance workload; 2. during battery detection, a worker is required to select a corresponding battery detection scheme according to a vehicle type, and high labor cost and time cost are generated.
Therefore, how to provide a method for automatically generating an automobile battery depth detection scheme realizes that corresponding battery detection schemes are generated for depth detection according to different models of automobiles in a self-adaptive manner, so that the workload of development and maintenance of the battery detection schemes is reduced, the efficiency of battery detection is improved, and the cost of battery detection is reduced, which becomes a problem to be solved urgently.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for automatically generating a depth detection scheme of an automobile battery, so that the depth detection is realized by adaptively generating corresponding battery detection schemes according to automobiles of different models, the workload of development and maintenance of the battery detection schemes is further reduced, the efficiency of battery detection is improved, and the cost of battery detection is reduced.
The invention is realized by the following steps: a method for automatically generating an automobile battery depth detection scheme comprises the following steps:
step S10, creating a variable rule, and creating a battery depth detection template based on the variable rule; the battery depth detection template comprises a protection parameter, a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter;
step S20, analyzing the battery depth detection template by using the variable rule to obtain variable parameters;
step S30, battery information of the electric vehicle to be detected is obtained;
step S40, acquiring corresponding battery parameters from the battery information based on the variable parameters;
and step S50, filling the battery parameters into a battery depth detection template by using the variable rule to generate a battery depth detection scheme.
Further, in step S10, the variable rule is specifically: setting a left separator and a right separator, defining the parameter positioned at the left side of the left separator as a variable parameter, and setting the variable value corresponding to the variable parameter in the variable area between the left separator and the right separator.
Further, in step S10, the protection parameters include a maximum voltage, a minimum voltage, a maximum charging current, a minimum discharging current, a maximum cell voltage, a minimum cell voltage, a maximum cell temperature, and a minimum cell temperature; each of the protection parameters is a variable parameter.
Further, in the step S10, both the first charging parameter and the second charging parameter are charged to 100%; the first discharge parameter is discharge to 60%; the first discharging direct current impedance test parameter and the second discharging direct current impedance test parameter are both test time longer than 20 seconds; the second discharge parameter is discharge to 0%.
Further, the step S20 is specifically:
and analyzing the battery depth detection template by using the variable rule to obtain variable parameters, and caching the variable parameters in the entity class.
Further, the step S30 is specifically:
the method comprises the steps of communicating with a BMS of the electric automobile to be detected, acquiring and caching battery information of the electric automobile to be detected; the battery information at least comprises protection parameters, battery rated capacity, battery generation date, battery type and charging times.
Further, the step S50 is specifically:
and filling the battery parameters into a variable area of protection parameters by using the variable rule, and setting the detection sequence of the first charging parameter, the first discharging direct current impedance test parameter, the second discharging parameter and the second charging parameter to generate a battery depth detection scheme.
The invention has the advantages that:
1. after acquiring the battery information of the electric vehicle to be detected by creating a battery depth detection template comprising the protection parameter, a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter, acquiring a corresponding battery parameter from the battery information based on a variable parameter of the battery depth detection template, filling the corresponding variable region in the battery depth detection template, and finally generating the battery depth detection scheme; the corresponding battery depth detection scheme is generated in a self-adaptive mode according to different models of automobiles to carry out depth detection, compared with the traditional detection scheme corresponding to the automobile type needing to be selected manually, the detection scheme with multiple versions is developed and maintained, the workload of developing and maintaining the battery detection scheme is greatly reduced, the detection scheme is automatically generated according to the automobile type without arranging a worker to select the detection scheme, the efficiency of battery detection is greatly improved, and the labor cost of battery detection is reduced.
2. Through carrying out the communication with electric automobile's BMS, acquire to detect electric automobile battery information, guaranteed the accuracy of acquireing battery information has guaranteed the security of battery degree of depth detection scheme has reduced the fault rate of manual operation.
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The invention will be further described with reference to the following examples with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method of automatically generating an automotive battery depth detection scheme in accordance with the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: and establishing the variable rule and a battery depth detection template, acquiring the battery information of the electric vehicle to be detected, analyzing variable parameters in the battery depth detection template by using the variable rule, finding corresponding battery parameters, namely values of the variable parameters on the electric vehicle of the vehicle type, from the battery information by using the variable parameters based on the mapping relation of the parameters, and filling the battery parameters into the battery depth detection template to automatically generate a battery depth detection scheme.
Referring to fig. 1, a preferred embodiment of a method for automatically generating a depth detection scheme for a battery of an automobile according to the present invention includes the following steps:
step S10, creating a variable rule, creating a battery depth detection template based on the variable rule, and instantiating the battery depth detection template, wherein instantiation refers to a process of creating an object by using a class in object-oriented programming, namely a process of embodying an abstract concept class to a real object of the class; the battery depth detection template comprises a protection parameter, a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter; a direct current impedance test (DCR test);
step S20, analyzing the battery depth detection template by using the variable rule to obtain variable parameters;
step S30, battery information of the electric vehicle to be detected is obtained;
step S40, acquiring corresponding battery parameters from the battery information in the cache based on the variable parameters, namely, values of the variable parameters on the electric vehicle to be detected;
and step S50, filling the battery parameters into a battery depth detection template by using the variable rule to generate a battery depth detection scheme.
In step S10, the variable rule is specifically: setting a left separator and a right separator, defining the parameter positioned at the left side of the left separator as a variable parameter, and setting the variable value corresponding to the variable parameter in the variable area between the left separator and the right separator. For example, setting the left separator to "<", and setting the right separator to ">", each of the protection parameters is as follows:
maximum voltage <36V >,
minimum voltage <12V >,
maximum charging current <20A >,
minimum discharge current <5A >,
the highest monomer voltage is <24V >,
the lowest monomer voltage is <6V >,
the maximum monomer temperature <60 c >,
minimum monomer temperature <0 ℃ >.
In step S10, the protection parameters include a maximum voltage, a minimum voltage, a maximum charging current, a minimum discharging current, a maximum cell voltage, a minimum cell voltage, a maximum cell temperature, and a minimum cell temperature; each of the protection parameters is a variable parameter.
In step S10, the first charging parameter and the second charging parameter are both charged to 100%; the first discharge parameter is discharge to 60%; the first discharging direct current impedance test parameter and the second discharging direct current impedance test parameter are both test time longer than 20 seconds; the second discharge parameter is discharge to 0%.
The step S20 specifically includes:
and analyzing the battery depth detection template by using the variable rule to obtain variable parameters, and caching the variable parameters in the entity class.
The step S30 specifically includes:
the method comprises the steps of communicating with a BMS of the electric automobile to be detected, acquiring and caching battery information of the electric automobile to be detected; the battery information at least comprises protection parameters, battery rated capacity, battery generation date, battery type and charging times. Through carrying out the communication with electric automobile's BMS, acquire to detect electric automobile battery information, guaranteed the accuracy of acquireing battery information has guaranteed the security of battery degree of depth detection scheme has reduced the fault rate of manual operation.
The step S50 specifically includes:
and filling the battery parameters into a variable area of protection parameters by using the variable rule, and setting the detection sequence of the first charging parameter, the first discharging direct current impedance test parameter, the second discharging parameter and the second charging parameter to generate a battery depth detection scheme. For example, a battery depth detection scheme is generated according to a detection sequence of a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter, namely, the battery is fully charged, then discharged to 60%, then the direct current impedance tests are performed twice, finally the battery is fully charged after being discharged, and the detection sequence can be set as required during specific tests.
The variable parameters of the electric vehicle are exemplified as follows:
in summary, the invention has the advantages that:
1. after acquiring the battery information of the electric vehicle to be detected by creating a battery depth detection template comprising the protection parameter, a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter, acquiring a corresponding battery parameter from the battery information based on a variable parameter of the battery depth detection template, filling the corresponding variable region in the battery depth detection template, and finally generating the battery depth detection scheme; the corresponding battery depth detection scheme is generated in a self-adaptive mode according to different models of automobiles to carry out depth detection, compared with the traditional detection scheme corresponding to the automobile type needing to be selected manually, the detection scheme with multiple versions is developed and maintained, the workload of developing and maintaining the battery detection scheme is greatly reduced, the detection scheme is automatically generated according to the automobile type without arranging a worker to select the detection scheme, the efficiency of battery detection is greatly improved, and the labor cost of battery detection is reduced.
2. Through carrying out the communication with electric automobile's BMS, acquire to detect electric automobile battery information, guaranteed the accuracy of acquireing battery information has guaranteed the security of battery degree of depth detection scheme has reduced the fault rate of manual operation.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (7)
1. A method for automatically generating an automobile battery depth detection scheme is characterized by comprising the following steps: the method comprises the following steps:
step S10, creating a variable rule, and creating a battery depth detection template based on the variable rule; the battery depth detection template comprises a protection parameter, a first charging parameter, a first discharging direct current impedance test parameter, a second discharging parameter and a second charging parameter;
step S20, analyzing the battery depth detection template by using the variable rule to obtain variable parameters;
step S30, battery information of the electric vehicle to be detected is obtained;
step S40, acquiring corresponding battery parameters from the battery information based on the variable parameters;
and step S50, filling the battery parameters into a battery depth detection template by using the variable rule to generate a battery depth detection scheme.
2. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: in step S10, the variable rule is specifically: setting a left separator and a right separator, defining the parameter positioned at the left side of the left separator as a variable parameter, and setting the variable value corresponding to the variable parameter in the variable area between the left separator and the right separator.
3. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: in step S10, the protection parameters include a maximum voltage, a minimum voltage, a maximum charging current, a minimum discharging current, a maximum cell voltage, a minimum cell voltage, a maximum cell temperature, and a minimum cell temperature; each of the protection parameters is a variable parameter.
4. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: in step S10, the first charging parameter and the second charging parameter are both charged to 100%; the first discharge parameter is discharge to 60%; the first discharging direct current impedance test parameter and the second discharging direct current impedance test parameter are both test time longer than 20 seconds; the second discharge parameter is discharge to 0%.
5. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: the step S20 specifically includes:
and analyzing the battery depth detection template by using the variable rule to obtain variable parameters, and caching the variable parameters in the entity class.
6. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: the step S30 specifically includes:
the method comprises the steps of communicating with a BMS of the electric automobile to be detected, acquiring and caching battery information of the electric automobile to be detected; the battery information at least comprises protection parameters, battery rated capacity, battery generation date, battery type and charging times.
7. The method of automatically generating an automotive battery depth detection scheme of claim 1, wherein: the step S50 specifically includes:
and filling the battery parameters into a variable area of protection parameters by using the variable rule, and setting the detection sequence of the first charging parameter, the first discharging direct current impedance test parameter, the second discharging parameter and the second charging parameter to generate a battery depth detection scheme.
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