CN115840437A - Fault detection method and system for new energy power supply controller - Google Patents
Fault detection method and system for new energy power supply controller Download PDFInfo
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Abstract
The invention is applicable to the technical field of electric bicycle control systems, and particularly relates to a fault detection method and a fault detection system for a new energy power supply controller, wherein the method comprises the following steps of: obtaining historical driving data and constructing a standard driving parameter database; acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter; acquiring real-time driving data, and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value; and judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, and giving an alarm and sending prompt information when the fault exists. The invention initially judges whether the vehicle is abnormal or not by acquiring the real-time electric door value and acquiring the corresponding speed and acceleration, and further acquires more driving data and further judges when the vehicle is abnormal so as to realize the purpose of fault identification and avoid the problem of loss increase caused by faults.
Description
Technical Field
The invention belongs to the technical field of electric bicycle control systems, and particularly relates to a fault detection method and system of a new energy power supply controller.
Background
The electric bicycle is a vehicle which takes a storage battery as an auxiliary energy source, is provided with a motor, a controller, the storage battery, a rotating handle brake handle and other operating components and a display instrument system on the basis of a common bicycle.
In the conventional electric bicycle, a fault detection technology is not provided, so that when the electric bicycle breaks down, a user cannot directly find the fault, and the problem can be found only when the electric bicycle cannot run or runs abnormally.
In the prior art, the electric bicycle cannot automatically detect faults, so that the faults are easily expanded step by step, and greater loss is brought to users.
Disclosure of Invention
The embodiment of the invention aims to provide a fault detection method for a new energy power supply controller, and aims to solve the problems that in the prior art, an electric bicycle cannot automatically detect faults, so that the faults are easily expanded step by step, and larger loss is brought to users.
The embodiment of the invention is realized in such a way that a fault detection method of a new energy power supply controller comprises the following steps:
acquiring historical driving data, and constructing a standard driving parameter database based on the historical driving data;
acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter, wherein the real-time speed parameter at least comprises an acceleration value and a speed value;
acquiring real-time driving data, and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value;
and judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists, and sending out prompt information.
Preferably, the step of obtaining the real-time electric door value and the real-time speed parameter and determining whether fault detection is required according to the real-time electric door value and the real-time speed parameter specifically includes:
acquiring a real-time electric door value and a real-time speed parameter, and generating an electric door value curve and a speed parameter curve, wherein the speed parameter curve comprises a speed curve and an acceleration curve;
extracting an electric gate value point set from the electric gate value curve according to a preset extraction gradient, and inquiring the speed and the acceleration at the corresponding moment;
and judging whether the corresponding acceleration is in a preset range or not under the same electric door value and speed, and if the corresponding acceleration is beyond the preset range, judging to perform fault detection.
Preferably, the step of acquiring real-time driving data, and querying a standard driving parameter database based on the real-time driving data to obtain a standard parameter value specifically includes:
acquiring real-time driving data, extracting load data, road gradient data, battery power data and brake data, and constructing a real-time driving data vector;
inquiring a standard driving parameter database according to the real-time driving data, and calling standard driving data corresponding to the real-time driving data;
and constructing a standard driving data vector according to the called standard driving data to obtain a standard parameter value.
Preferably, the step of determining whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists, and sending out the prompt message specifically includes:
judging whether the corresponding real-time speed parameter exceeds a standard parameter value or not according to the real-time electric gate value, and if so, judging that a fault exists;
calculating cosine similarity of the real-time driving data vector and the standard driving data vector, and judging whether a fault exists;
and when the fault exists, sending out prompt information and giving an alarm.
Preferably, the prompt message is a voice prompt or a flashing light prompt.
Preferably, when a fault occurs, a speed limit value is set for the vehicle.
Another object of an embodiment of the present invention is to provide a fault detection system for a new energy power controller, where the system includes:
the database construction module is used for acquiring historical driving data and constructing a standard driving parameter database based on the historical driving data;
the fault detection module is used for acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter, wherein the real-time speed parameter at least comprises an acceleration numerical value and a speed numerical value;
the data acquisition module is used for acquiring real-time driving data and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value;
and the fault judging module is used for judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists and sending out prompt information.
Preferably, the fault detection module includes:
the curve generating unit is used for acquiring a real-time electric door value and a real-time speed parameter and generating an electric door value curve and a speed parameter curve, wherein the speed parameter curve comprises a speed curve and an acceleration curve;
the data extraction unit is used for extracting an electric gate value point set from the electric gate value curve according to a preset extraction gradient and inquiring the speed and the acceleration at the corresponding moment;
and the abnormality determination unit is used for determining whether the corresponding acceleration under the same electric door value and speed is in a preset range, and if the acceleration exceeds the preset range, determining to perform fault detection.
Preferably, the data acquisition module includes:
the system comprises a first vector generation unit, a second vector generation unit and a third vector generation unit, wherein the first vector generation unit is used for acquiring real-time driving data, extracting load data, road gradient data, battery electric quantity data and brake data and constructing a real-time driving data vector;
the data query unit is used for querying the standard driving parameter database according to the real-time driving data and calling the standard driving data corresponding to the real-time driving data;
and the second vector generation unit is used for constructing a standard driving data vector according to the called standard driving data to obtain a standard parameter value.
Preferably, the failure determination module includes:
the first judging unit is used for judging whether the corresponding real-time speed parameter exceeds a standard parameter value or not according to the real-time electric gate value, and if so, judging that a fault exists;
the second judgment unit is used for calculating the cosine similarity of the real-time driving data vector and the standard driving data vector and judging whether a fault exists or not;
and the fault warning unit is used for sending out prompt information and giving an alarm when a fault exists.
According to the fault detection method of the new energy power supply controller provided by the embodiment of the invention, the real-time power gate value is acquired, and the corresponding speed and acceleration are acquired, so that whether the vehicle is abnormal or not is preliminarily judged, and when the vehicle is abnormal, more driving data are further acquired for further judgment, so that the purpose of fault identification is realized, and the problem of loss increase caused by faults is avoided.
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Fig. 1 is a flowchart of a fault detection method of a new energy power supply controller according to an embodiment of the present invention;
fig. 2 is a flowchart of a step of acquiring a real-time electric door value and a real-time speed parameter, and determining whether fault detection is required according to the real-time electric door value and the real-time speed parameter according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of acquiring real-time driving data, and querying a standard driving parameter database based on the real-time driving data to obtain standard parameter values according to an embodiment of the present invention;
fig. 4 is a flowchart of the steps of determining whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, and sending a prompt message when the fault exists;
fig. 5 is an architecture diagram of a fault detection system of a new energy power supply controller according to an embodiment of the present invention;
FIG. 6 is an architecture diagram of a fault detection module according to an embodiment of the present invention;
fig. 7 is an architecture diagram of a data acquisition module according to an embodiment of the present invention;
fig. 8 is an architecture diagram of a failure determination module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
As shown in fig. 1, a flowchart of a method for detecting a fault of a new energy power supply controller according to an embodiment of the present invention is provided, where the method includes:
and S100, acquiring historical driving data, and constructing a standard driving parameter database based on the historical driving data.
In this step, historical driving data is obtained, the historical driving data includes speed, acceleration, load, road gradient, electric door value, battery level, braking force and the like of the vehicle, the historical driving data is derived from vehicles without faults, acceleration parameters corresponding to the electric door values under different vehicle conditions are determined according to the massive historical driving data, and accordingly a standard driving parameter database is constructed.
S200, acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter, wherein the real-time speed parameter at least comprises an acceleration value and a speed value.
In the step, real-time electric door values and real-time speed parameters are obtained, real-time electric door values and real-time speed parameters are recorded in real time during real-time driving to obtain electric door value curves and real-time speed curves, real-time speeds include real-time acceleration and real-time speed, and corresponding speed curves and acceleration curves can be obtained, in the electric door value curves, the speed curves and the acceleration curves, the abscissa of the electric door value curves, the speed values and the acceleration values is time, so that the obtained electric door values, the speed values and the acceleration values have a matching relation under the same abscissa, corresponding electric door values, speed values and acceleration values are extracted according to preset electric door gradients, specifically, the maximum variation P of the electric door values within the preset time length is determined, electric door value extraction is performed by taking 10% as the gradient, P +10 is extracted within the preset time length, the lowest electric door value is Q, P + n is extracted, n is the number of driving times, if ten times are extracted, n is an integer between 0 and 10, further the corresponding acceleration values and speed values are obtained, if the acceleration values and the acceleration values exceed the preset ranges, the corresponding electric door values are different, and the acceleration values are determined according to the preset electric door value range, and the acceleration range, and the corresponding electric door value are determined, and the acceleration range, and the corresponding to determine whether the acceleration range, and the acceleration range.
S300, collecting real-time driving data, and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value.
In this step, real-time driving data is collected, which also includes speed, acceleration, load, road gradient, electric door value, battery level, braking force, and the like of the vehicle, specifically, if conditions such as ambient temperature are taken into consideration in the historical driving data, the real-time driving data at this time also includes the above parameters, and the values of acceleration parameters corresponding to different electric door values under the current conditions are determined according to the real-time driving data, which are standard parameter values.
And S400, judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists, and sending out prompt information.
In the step, whether a fault exists is judged according to the real-time electric door value, the real-time speed parameter and the standard parameter value, specifically, a fault judgment is carried out once according to the real-time electric door value, the real-time speed parameter and the standard parameter value, if the real-time speed parameter corresponding to the real-time electric door value cannot be matched with the standard parameter value, the fault is regarded as a fault, the real-time driving data vector is constructed according to the real-time driving data and is compared with the parameter vector in the standard driving parameter database, whether a matching item exists is judged, if the matching item does not exist, the fault is regarded as existing, an alarm is given, and prompt information is sent out, wherein the prompt information is a voice prompt or a flashing light prompt; when a fault occurs, a speed limit value is set for the vehicle, and the vehicle is limited to run at high speed, for example, the vehicle is limited to run at 15 kilometers per hour.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of acquiring the real-time electric door value and the real-time speed parameter, and determining whether fault detection is required according to the real-time electric door value and the real-time speed parameter specifically includes:
s201, acquiring a real-time electric door value and a real-time speed parameter, and generating an electric door value curve and a speed parameter curve, wherein the speed parameter curve comprises a speed curve and an acceleration curve.
In this step, a real-time electric door value and a real-time speed parameter are obtained, the real-time electric door value is obtained by real-time acquisition, the real-time speed parameter is also a speed value and an acceleration value which are obtained by synchronous acquisition when the electric door value is acquired, the acceleration value can be obtained by measuring through a triaxial acceleration sensor, the speed value is obtained by detecting through a wheel speed sensor, recording is carried out according to a time sequence, a two-dimensional coordinate system is established, a corresponding curve can be obtained, and specifically, the electric door value curve and the speed parameter curve can be drawn in the same coordinate system, so that data extraction is facilitated.
S202, extracting an electric gate value point set from the electric gate value curve according to a preset extraction gradient, and inquiring the speed and the acceleration at the corresponding moment.
In this step, a set of electric gate value points is extracted from the electric gate value curve according to a preset extraction gradient, specifically, the maximum variation of the electric gate value and the electric gate minimum value in the period are determined according to the set extraction, so that a plurality of sets of electric gate value points are determined, the electric gate value points contain a plurality of electric gate values with different numerical values, and the speed and the acceleration at the corresponding moment are inquired.
And S203, judging whether the corresponding acceleration under the same electric door value and speed is in a preset range, and if the corresponding acceleration exceeds the preset range, judging to perform fault detection.
In this step, it is determined whether the acceleration corresponding to the same electric door value and speed is within a preset range, and a standard driving parameter database is first queried to determine the range of the acceleration corresponding to the electric door value at the current speed, where the range is the preset range, and if the range is exceeded, it is determined to perform fault detection, otherwise, it is not exceeded, i.e., no fault detection is required.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of acquiring real-time driving data and querying a standard driving parameter database based on the real-time driving data to obtain a standard parameter value specifically includes:
s301, collecting real-time driving data, extracting load data, road gradient data, battery electric quantity data and brake data, and constructing a real-time driving data vector.
In this step, real-time driving data is collected, and the state of the vehicle needs to be further analyzed except the electric gate value, speed and acceleration obtained at the beginning of the collection of the real-time driving data, specifically, the load, the road gradient, the electric gate value, the battery capacity, the braking force and the like of the vehicle need to be collected, so that a real-time driving data vector is constructed by taking an independent data item as an element.
And S302, inquiring a standard driving parameter database according to the real-time driving data, and calling the standard driving data corresponding to the real-time driving data.
In this step, the standard driving parameter database is queried according to the real-time driving data, and specifically, the corresponding environmental condition parameters recorded in the standard driving parameter database are extracted according to the current electric door value, speed and acceleration, which are the standard driving data.
And S303, constructing a standard driving data vector according to the called standard driving data to obtain a standard parameter value.
In this step, a standard driving data vector is constructed according to the retrieved standard driving data, and similarly, each data item is taken as an element to construct the standard driving data vector, and meanwhile, the maximum range of the corresponding acceleration, i.e. the standard parameter value, under the conditions of the current speed and the electric door value is also determined.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of determining whether there is a fault according to the real-time electric door value, the real-time speed parameter, and the standard parameter value, and giving an alarm and sending a prompt message when there is a fault includes:
s401, judging whether the corresponding real-time speed parameter exceeds a standard parameter value or not according to the real-time electric gate value, and if so, judging that a fault exists.
In the step, whether the corresponding real-time speed parameter exceeds the standard parameter value or not is judged according to the real-time electric threshold value, when the corresponding real-time speed parameter exceeds the standard parameter value, the corresponding real-time speed parameter is indicated to exceed the maximum limit value, and at the moment, the vehicle is directly judged to have faults.
S402, calculating cosine similarity of the real-time driving data vector and the standard driving data vector, and judging whether a fault exists.
And S403, when the fault exists, sending out a prompt message and giving an alarm.
In the step, cosine similarity of the real-time driving data vector and the standard driving data vector is calculated, after retrieval, the number of the obtained standard driving data vectors is large, due to the fact that the vectors have directionality, an included angle between the real-time driving data vector and the standard driving data vector is directly calculated, an included angle value obtained through calculation is compared with a threshold value, if the included angle value exceeds the threshold value, a fault is judged to exist, prompt information is sent out, and an alarm is given.
As shown in fig. 5, a fault detection system of a new energy power supply controller provided in an embodiment of the present invention includes:
and the database construction module 100 is used for acquiring historical driving data and constructing a standard driving parameter database based on the historical driving data.
In the system, a database construction module 100 acquires historical driving data, wherein the historical driving data comprises speed, acceleration, load, road gradient, electric door value, battery capacity, braking force and the like of a vehicle, the historical driving data is derived from vehicles without faults, acceleration parameters corresponding to the electric door values under different vehicle conditions are determined according to the mass historical driving data, and a standard driving parameter database is constructed according to the acceleration parameters.
The fault detection module 200 is configured to obtain a real-time electric threshold value and a real-time speed parameter, and determine whether fault detection is required according to the real-time electric threshold value and the real-time speed parameter, where the real-time speed parameter at least includes an acceleration value and a speed value.
In the system, the fault detection module 200 obtains a real-time electric door value and a real-time speed parameter, and records the real-time electric door value and the real-time speed parameter in real time during the real-time driving process to obtain an electric door value curve and a real-time speed curve, wherein the real-time speed includes a real-time acceleration and a real-time speed, and then obtains a corresponding speed curve and an acceleration curve, and in the electric door value curve, the speed curve and the acceleration curve, the abscissa thereof is time, so that the obtained electric door value, speed value and acceleration value have a matching relationship under the same abscissa, and the corresponding electric door value, speed value and acceleration value are extracted according to a preset electric door gradient, specifically, determining the maximum variation P of the electric gate value within a preset time length, performing electric gate value extraction by taking 10% as a gradient, wherein within the preset time length, the lowest electric gate value is Q, then extracting Q + 10P x n, wherein n is the extraction times, if extracting ten times, then n is an integer between 0 and 10, including 0 and 10, further obtaining corresponding acceleration value and speed value, under different speed conditions, the acceleration corresponding to the same electric gate value is also different, therefore, taking the speed and the electric gate value as independent variables, determining whether the acceleration is within a preset range, if the acceleration exceeds the preset range, determining that fault detection is needed, and determining the preset range according to the speed and the electric gate value, and storing the preset range in a standard driving parameter database.
The data acquisition module 300 is configured to acquire real-time driving data, and query a standard driving parameter database based on the real-time driving data to obtain a standard parameter value.
In the system, the data acquisition module 300 acquires real-time driving data, which also includes speed, acceleration, load, road gradient, electric door value, battery level, braking force, and the like of the vehicle, specifically, if conditions such as ambient temperature are taken into consideration in the historical driving data, the real-time driving data at this time also includes the above parameters, and the values of acceleration parameters corresponding to different electric door values under the current conditions are determined according to the real-time driving data, which are standard parameter values.
And the fault judging module 400 is used for judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists, and sending out prompt information.
In the system, the fault determination module 400 determines whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, specifically, performs a fault determination according to the real-time electric door value, the real-time speed parameter and the standard parameter value, if the real-time speed parameter corresponding to the real-time electric door value cannot be matched with the standard parameter value, the fault is determined, and a corresponding real-time driving data vector is constructed by using the real-time driving data and is compared with a parameter vector in a standard driving parameter database, so as to determine whether a matching item exists, if the matching item does not exist, the fault is determined to exist, an alarm is given, and prompt information is sent, wherein the prompt information is a voice prompt or a flashing light prompt; when a fault occurs, a speed limit value is set for the vehicle, and the vehicle is limited to run at high speed, for example, the vehicle is limited to run at 15 kilometers per hour.
As shown in fig. 6, as a preferred embodiment of the present invention, the fault detection module 200 includes:
the curve generating unit 201 is configured to obtain a real-time electric door value and a real-time speed parameter, and generate an electric door value curve and a speed parameter curve, where the speed parameter curve includes a speed curve and an acceleration curve.
In this module, the curve generating unit 201 obtains a real-time electric door value and a real-time speed parameter, the real-time electric door value is obtained by real-time acquisition, the real-time speed parameter is also a speed value and an acceleration value obtained by synchronous acquisition when the electric door value is acquired, the acceleration value can be obtained by measuring through a triaxial acceleration sensor, the speed value is obtained by detecting through a wheel speed sensor, recording is performed according to a time sequence, a two-dimensional coordinate system is established, a corresponding curve can be obtained, and specifically, the electric door value curve and the speed parameter curve can be drawn in the same coordinate system, so that data extraction can be performed.
And the data extraction unit 202 is configured to extract an electric gate value point set from the electric gate value curve according to a preset extraction gradient, and query a speed and an acceleration at a corresponding moment.
In this module, the data extraction unit 202 extracts a set of electric gate values from the electric gate value curve according to a preset extraction gradient, and specifically, determines the maximum variation of the electric gate values and the minimum value of the electric gate in this period according to the set extraction, thereby determining a plurality of sets of electric gate values, which include a plurality of electric gate values with different values, and queries the speed and acceleration at the corresponding time.
The abnormality determination unit 203 determines whether or not the acceleration corresponding to the same electric door value and speed is within a preset range, and if the acceleration exceeds the preset range, it determines that the failure detection is performed.
In this module, the abnormality determination unit 203 determines whether the acceleration corresponding to the same electric door value and speed is within a preset range, first queries the standard driving parameter database to determine the range of the acceleration corresponding to the electric door value at the current speed, where the range is the preset range, and if the range is exceeded, determines to perform fault detection, and if the range is not exceeded, i.e., no fault detection is required.
As shown in fig. 7, as a preferred embodiment of the present invention, the data acquisition module 300 includes:
the first vector generation unit 301 is configured to collect real-time driving data, extract load data, road gradient data, battery level data, and brake data, and construct a real-time driving data vector.
In this module, the first vector generation unit 301 collects real-time driving data, and the real-time driving data needs to further analyze the state of the vehicle except for the electric door value, speed and acceleration obtained at the beginning, and specifically needs to collect the load, road gradient, electric door value, battery capacity, braking force and the like of the vehicle, so that a real-time driving data vector is constructed by taking an independent data item as an element.
The data query unit 302 is configured to query the standard driving parameter database according to the real-time driving data, and retrieve standard driving data corresponding to the real-time driving data.
In this module, the data query unit 302 queries the standard driving parameter database according to the real-time driving data, and specifically, extracts the corresponding environmental condition parameters recorded in the standard driving parameter database according to the current electric door value, speed and acceleration, which are the standard driving data.
And the second vector generation unit 303 is configured to construct a standard driving data vector according to the obtained standard driving data, so as to obtain a standard parameter value.
In this module, the second vector generation unit 303 constructs a standard driving data vector according to the obtained standard driving data, and similarly, constructs a standard driving data vector by using each data item as an element, and at the same time, determines a maximum range of the corresponding acceleration, that is, a standard parameter value, under the conditions of the current speed and the electric door value.
As shown in fig. 8, as a preferred embodiment of the present invention, the failure determination module 400 includes:
the first determining unit 401 is configured to determine whether the corresponding real-time speed parameter exceeds a standard parameter value according to the real-time electric gate value, and if so, determine that a fault exists.
In this module, a first determination unit 401 determines whether a corresponding real-time speed parameter exceeds a standard parameter value according to a real-time electric threshold value, and when the corresponding real-time speed parameter exceeds the standard parameter value, it indicates that the corresponding real-time speed parameter exceeds a maximum limit value, and at this time, it directly determines that a vehicle has a fault.
The second determining unit 402 is configured to calculate cosine similarity between the real-time driving data vector and the standard driving data vector, and determine whether a fault exists.
And a fault warning unit 403, configured to send a prompt message and perform an alarm when a fault exists.
In the module, cosine similarity of a real-time driving data vector and a standard driving data vector is calculated, the number of the obtained standard driving data vectors is large after retrieval, an included angle between the real-time driving data vector and the standard driving data vector is directly calculated due to the existence of directionality of the vectors, the calculated included angle value is compared with a threshold value, if the included angle value exceeds the threshold value, a fault is judged to exist, prompt information is sent out, and an alarm is given.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile 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 (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features of the above embodiments may not be described for the sake of brevity, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A fault detection method of a new energy power supply controller is characterized by comprising the following steps:
acquiring historical driving data, and constructing a standard driving parameter database based on the historical driving data;
acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter, wherein the real-time speed parameter at least comprises an acceleration value and a speed value;
acquiring real-time driving data, and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value;
and judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, and giving an alarm and sending prompt information when the fault exists.
2. The method for detecting the fault of the new energy power controller according to claim 1, wherein the step of acquiring the real-time power gate value and the real-time speed parameter and determining whether fault detection is required according to the real-time power gate value and the real-time speed parameter specifically comprises:
acquiring a real-time electric door value and a real-time speed parameter, and generating an electric door value curve and a speed parameter curve, wherein the speed parameter curve comprises a speed curve and an acceleration curve;
extracting an electric gate value point set from the electric gate value curve according to a preset extraction gradient, and inquiring the speed and the acceleration at the corresponding moment;
and judging whether the corresponding acceleration is in a preset range or not under the same electric door value and speed, and if the corresponding acceleration is beyond the preset range, judging to perform fault detection.
3. The method for detecting the fault of the new energy power supply controller according to claim 1, wherein the step of acquiring real-time driving data and querying a standard driving parameter database based on the real-time driving data to obtain a standard parameter value specifically comprises:
acquiring real-time driving data, extracting load data, road gradient data, battery power data and brake data, and constructing a real-time driving data vector;
inquiring a standard driving parameter database according to the real-time driving data, and calling standard driving data corresponding to the real-time driving data;
and constructing a standard driving data vector according to the called standard driving data to obtain a standard parameter value.
4. The method for detecting the fault of the new energy power supply controller according to claim 3, wherein the step of determining whether a fault exists according to the real-time power gate value, the real-time speed parameter and the standard parameter value, alarming when the fault exists, and sending out a prompt message specifically comprises:
judging whether the corresponding real-time speed parameter exceeds a standard parameter value or not according to the real-time electric gate value, and if so, judging that a fault exists;
calculating cosine similarity of the real-time driving data vector and the standard driving data vector, and judging whether a fault exists;
and when the fault exists, sending out prompt information and giving an alarm.
5. The method for detecting the fault of the new energy power supply controller according to claim 4, wherein the prompt message is a voice prompt or a flashing light prompt.
6. The method of claim 4, wherein a speed limit is set for the vehicle when a fault occurs.
7. A fault detection system for a new energy power supply controller, the system comprising:
the database construction module is used for acquiring historical driving data and constructing a standard driving parameter database based on the historical driving data;
the fault detection module is used for acquiring a real-time electric door value and a real-time speed parameter, and judging whether fault detection is needed or not according to the real-time electric door value and the real-time speed parameter, wherein the real-time speed parameter at least comprises an acceleration numerical value and a speed numerical value;
the data acquisition module is used for acquiring real-time driving data and inquiring a standard driving parameter database based on the real-time driving data to obtain a standard parameter value;
and the fault judging module is used for judging whether a fault exists according to the real-time electric door value, the real-time speed parameter and the standard parameter value, alarming when the fault exists and sending out prompt information.
8. The system of claim 7, wherein the fault detection module comprises:
the curve generating unit is used for acquiring a real-time electric door value and a real-time speed parameter and generating an electric door value curve and a speed parameter curve, wherein the speed parameter curve comprises a speed curve and an acceleration curve;
the data extraction unit is used for extracting an electric gate value point set from the electric gate value curve according to a preset extraction gradient and inquiring the speed and the acceleration at the corresponding moment;
and the abnormality determination unit is used for determining whether the corresponding acceleration under the same electric door value and speed is in a preset range, and if the acceleration exceeds the preset range, determining to perform fault detection.
9. The system of claim 7, wherein the data acquisition module comprises:
the first vector generation unit is used for acquiring real-time driving data, extracting load data, road gradient data, battery capacity data and brake data and constructing a real-time driving data vector;
the data query unit is used for querying the standard driving parameter database according to the real-time driving data and calling the standard driving data corresponding to the real-time driving data;
and the second vector generation unit is used for constructing a standard driving data vector according to the called standard driving data to obtain a standard parameter value.
10. The system of claim 8, wherein the fault determination module comprises:
the first judging unit is used for judging whether the corresponding real-time speed parameter exceeds a standard parameter value or not according to the real-time electric gate value, and if so, judging that a fault exists;
the second judgment unit is used for calculating the cosine similarity of the real-time driving data vector and the standard driving data vector and judging whether a fault exists or not;
and the fault warning unit is used for sending out prompt information and giving an alarm when a fault exists.
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| CN117783751B (en) * | 2023-12-29 | 2024-06-07 | 江苏淮海新能源车辆有限公司 | Comprehensive vehicle condition detection system and method for electric vehicle |
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