CN114779099A - New energy automobile battery performance analysis monitoring system based on big data - Google Patents

New energy automobile battery performance analysis monitoring system based on big data Download PDF

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CN114779099A
CN114779099A CN202210400476.9A CN202210400476A CN114779099A CN 114779099 A CN114779099 A CN 114779099A CN 202210400476 A CN202210400476 A CN 202210400476A CN 114779099 A CN114779099 A CN 114779099A
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automobile
charging
monitored
performance
battery
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罗红卫
赵阳
张国宪
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Yuanchuangjiwu Chengdu Energy Technology Co ltd
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Yuanchuangjiwu Chengdu Energy Technology Co ltd
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    • 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]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements

Abstract

The invention discloses a new energy automobile battery performance analysis and monitoring system based on big data, which specifically comprises an automobile information acquisition module to be monitored, an automobile monitoring stage division module to be monitored, an automobile charging parameter acquisition module to be monitored, an automobile information base, an automobile charging parameter analysis module to be monitored and an analysis data feedback terminal; according to the method, the charging parameters corresponding to each automobile to be monitored in each charging monitoring stage in an automobile manufacturing enterprise are collected and analyzed, so that the problem that the charging performance corresponding to the new energy automobile is not subjected to targeted analysis currently is solved effectively, the limitation in the current new energy automobile battery performance analysis process is broken, the reliability of the new energy automobile battery performance analysis result is improved greatly, and the stability and the safety of the new energy automobile in the subsequent use process are further ensured effectively.

Description

New energy automobile battery performance analysis monitoring system based on big data
Technical Field
The invention belongs to the technical field of automobile performance analysis, and relates to a new energy automobile battery performance analysis monitoring system based on big data.
Background
The automobile is an indispensable component of modern society as a transportation means closely related to people's life, but the traditional automobile mainly uses petroleum as a power source, which not only deepens the contradiction between energy production and consumption, but also causes certain pollution to the environment, and in order to improve the current situation, the new energy automobile has become a popular development direction in the current automobile industry.
The power source of present new energy automobile is the electric energy, and its battery performance has not only decided new energy automobile's dynamic property and has still directly influenced people's trip safety, analyzes mainly on the aspect of aspects such as new energy automobile battery decay state, battery safe state and battery fault rate in analyzing new energy automobile battery performance at present, and it is obvious that there is the problem in following several aspects to new energy automobile battery performance analysis at present:
1. the new energy automobile inevitably causes electric energy loss in use, and when the electric quantity does not meet the travel requirement, the battery needs to be charged, so that the charging performance analysis of the new energy automobile battery is very important, the charging performance corresponding to the new energy automobile is not subjected to targeted analysis at present, certain limitations are realized, the reliability of the new energy automobile battery performance analysis result cannot be improved, and the stability and the safety of the new energy automobile in the subsequent use process cannot be ensured;
2. all charging stages are likely to be in abnormal states during charging of new energy automobile batteries, charging conditions corresponding to the charging stages need to be obtained in real time, the charging conditions corresponding to the charging stages of the new energy automobiles cannot be visually displayed in a current new energy automobile battery performance analysis mode, further, the charging stability and the charging efficiency of the new energy automobile batteries cannot be highlighted, and meanwhile, the accuracy of new energy automobile battery performance analysis cannot be guaranteed.
Disclosure of Invention
In view of this, in order to solve the problems in the background art, a new energy vehicle battery performance analysis monitoring system based on big data is proposed;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a new energy automobile battery performance analysis monitoring system based on big data, which comprises:
the system comprises a to-be-monitored automobile information acquisition module, a charging area management module and a charging area management module, wherein the to-be-monitored automobile information acquisition module is used for acquiring the number of automobiles to be monitored, which are selected correspondingly by automobile manufacturing enterprises, numbering all automobiles to be monitored and acquiring the corresponding preset charging area position of each automobile to be monitored;
the monitoring stage division module of the automobile to be monitored is used for dividing the preset monitoring period corresponding to the automobile to be monitored into an initial charging monitoring stage, a charging process monitoring stage and a charging completion monitoring stage on the basis of the preset monitoring period corresponding to the automobile to be monitored;
wait to monitor car charge parameter acquisition module for based on wait to monitor each charge monitoring stage that the car corresponds, to each charge monitoring stage in wait to monitor the charge parameter that the car corresponds and gather, it specifically includes:
a. when the automobiles to be monitored are in an initial charging monitoring stage, acquiring initial charging parameters corresponding to the automobiles to be monitored;
b. when the automobiles to be monitored are in a charging process monitoring stage, acquiring charging process parameters corresponding to the automobiles to be monitored;
c. when the automobiles to be monitored are in a charging completion monitoring stage, acquiring charging completion parameters corresponding to the automobiles to be monitored;
the automobile information base is used for storing standard automobile type parameters corresponding to automobiles to be monitored of automobile manufacturing enterprises;
the system comprises a to-be-monitored automobile charging parameter analysis module, a charging monitoring stage and a charging monitoring module, wherein the to-be-monitored automobile charging parameter analysis module is used for analyzing the charging performance corresponding to each to-be-monitored automobile in each charging monitoring stage based on the charging parameter corresponding to each to-be-monitored automobile in each charging monitoring stage and the standard automobile model parameter corresponding to the to-be-monitored automobile, further counting the comprehensive charging performance conforming index of each to-be-monitored automobile, and judging the charging performance state corresponding to the to-be-monitored automobile of an automobile manufacturing enterprise;
and the analysis data feedback terminal is used for sending the corresponding charging performance state of the automobile to be monitored of the automobile manufacturing enterprise to automobile performance analysis personnel of the automobile manufacturing enterprise.
As a preferred embodiment of the present invention, the specific acquisition process for acquiring the initial charging parameters corresponding to each vehicle to be monitored is as follows:
when each automobile to be monitored enters an initial charging stage, acquiring an initial charging time point corresponding to each automobile to be monitored by using a timer in a charging position of each automobile to be monitored, and further acquiring the initial charging time point corresponding to each automobile to be monitored;
acquiring initial charging current and initial charging voltage corresponding to each automobile to be monitored by using electric power monitoring equipment so as to obtain the initial charging current and the initial charging voltage corresponding to each automobile to be monitored;
collecting the temperature corresponding to the surface of each automobile battery to be monitored through a temperature sensor distributed on the surface of each automobile battery to be monitored to obtain the temperature corresponding to the surface of each automobile battery to be monitored, and recording the temperature as the initial battery temperature corresponding to each automobile to be monitored;
the method comprises the steps of collecting the current corresponding residual electric quantity of each automobile to be monitored through an electric quantity sensing unit in each automobile battery to be monitored, and obtaining the initial charging state of charge of each automobile to be monitored based on the corresponding residual electric quantity of each automobile to be monitored.
As a preferred embodiment of the present invention, the specific collection process for collecting the charging process parameters corresponding to each vehicle to be monitored is as follows:
when each automobile to be monitored enters a charging process monitoring stage, acquiring output current and output voltage of a corresponding charging pile of each automobile to be monitored at each charging time point, and acquiring the output current and the output voltage of the corresponding charging pile of each automobile to be monitored;
collecting charging current and charging voltage of each automobile to be monitored corresponding to each charging time point, and further acquiring the charging current and charging voltage of each automobile to be monitored;
and acquiring the battery temperature of each automobile to be monitored at each charging time point, and further acquiring the battery temperature of each automobile to be monitored at each charging time point.
As a preferred embodiment of the present invention, the charging completion parameters corresponding to each vehicle to be monitored specifically include a charging completion time point, a corresponding state of charge when charging is completed, and a corresponding battery temperature when charging is completed.
As a preferred embodiment of the present invention, the standard vehicle type parameters corresponding to the vehicle to be monitored specifically include a rated charging voltage, a rated charging current, a rated electric capacity, a standard charging duration, a rated battery charging temperature range, and a standard state of charge corresponding to the completion of charging.
As a preferred embodiment of the present invention, the analyzing the charging performance corresponding to each vehicle to be monitored in each charging monitoring stage is used to analyze an initial charging performance compliance index corresponding to each vehicle to be monitored, and the analyzing process includes:
a1, obtaining the initial charging current and the initial charging voltage corresponding to each automobile to be monitored, calculating by using a calculation formula to obtain the initial charging power parameter conformity index of each automobile to be monitored, and recording as DjJ represents the number of the automobile to be monitored, and j is 1, 2.
A2, obtaining the initial battery temperature corresponding to each automobile to be monitored, calculating by using a calculation formula to obtain the initial battery temperature coincidence index of each automobile to be monitored, and marking as Wj
A3, counting to obtain initial charging performance coincidence indexes corresponding to the automobiles to be monitored based on the initial charging power parameter coincidence indexes and the initial battery temperature coincidence indexes of the automobiles to be monitored, and marking the initial charging performance coincidence indexes as deltaj
As a preferred embodiment of the present invention, the analyzing the charging performance corresponding to each vehicle to be monitored in each charging monitoring stage is used to analyze a charging process performance compliance index corresponding to each vehicle to be monitored, and the specific analyzing process includes:
b1, counting the charging capacity coincidence index of each automobile to be monitored based on the output current of the corresponding charging pile of each automobile to be monitored at each charging time point and the charging current of each automobile to be monitored at each charging time point, and recording the charging capacity coincidence index as Gj
B2 corresponding to the automobile to be monitoredThe charging current and the charging voltage corresponding to each charging time point of each automobile to be monitored, and the output current and the output voltage corresponding to each charging time point of the charging pile corresponding to each automobile to be monitored are counted, and the charging power comprehensive conformity index of each automobile to be monitored is counted and marked as P ″, andj
b3, analyzing the temperature coincidence index of the charging process of each automobile to be monitored based on the battery temperature of each automobile to be monitored at each charging time point, and recording the temperature coincidence index as the temperature coincidence index
Figure BDA0003599831300000051
B4, calculating the corresponding charging process performance conformity index of each automobile to be monitored by using a calculation formula, and marking the performance conformity index as gammajWherein, in the process,
Figure BDA0003599831300000052
wherein σ 1, σ 2, and σ 3 are preset correction coefficients, respectively.
As a preferred embodiment of the present invention, when analyzing the charging performance corresponding to each vehicle to be monitored in each charging monitoring stage, the analyzing is further performed to analyze the charging completion performance compliance index corresponding to each vehicle to be monitored, and the analyzing process includes:
c1, acquiring the actual charging time length corresponding to each automobile to be monitored based on the initial charging time point and the charging completion time point corresponding to each automobile to be monitored, and recording the actual charging time length as Tj actualComparing the charging time with the standard charging time of the automobile to be monitored, counting the charging time of each automobile to be monitored, and recording as Fj
C2, calculating the charging completion state coincidence index of each automobile to be monitored based on the corresponding charging state of each automobile to be monitored when the charging is completed, and recording the charging completion state coincidence index as Hj
C3, calculating battery temperature conformity index after charging of each automobile to be monitored based on the corresponding battery temperature when charging of each automobile to be monitored is completed, and recording the battery temperature conformity index as Kj
C4, calculating the charging completeness corresponding to each automobile to be monitored by using a calculation formulaCan be indexed and labeled as λj
Figure BDA0003599831300000061
ω 1, ω 2, ω 3 are preset weighting coefficients, and e is a set constant.
As a preferred embodiment of the present invention, the specific statistical formula corresponding to the integrated charging performance conformity index of each automobile to be monitored is:
Figure BDA0003599831300000062
alpha 1, alpha 2 and alpha 3 are preset coefficients, QjThe comprehensive charging performance corresponding to the jth automobile to be monitored is expressed as a coincidence index.
As a preferred embodiment of the present invention, the specific determination process for determining the charging performance state corresponding to the vehicle to be monitored in the vehicle manufacturing enterprise is as follows:
comparing the comprehensive charging performance conformity index corresponding to each automobile to be monitored with a preset standard charging performance conformity index, if the comprehensive charging performance conformity index corresponding to a certain automobile to be monitored is greater than or equal to the preset standard charging performance conformity index, marking the automobile to be monitored as a qualified automobile, otherwise, marking the automobile to be monitored as an unqualified automobile;
counting the number of corresponding unqualified automobiles in an automobile manufacturing enterprise, comparing the number of the corresponding unqualified automobiles in the automobile manufacturing enterprise with the number of automobiles to be monitored, which are selected correspondingly by the automobile manufacturing enterprise, and analyzing the corresponding unqualified rate of the automobiles to be monitored;
and matching and comparing the corresponding failure rate of the automobile to be monitored of the automobile manufacturing enterprise with a preset allowable failure rate range of the automobile, and recording the charging performance state corresponding to the automobile to be monitored of the automobile manufacturing enterprise as a failure state if the corresponding failure rate of the automobile to be monitored of the automobile manufacturing enterprise exceeds the preset allowable failure rate range of the automobile, or recording the charging performance state as a qualified state if the corresponding failure rate of the automobile to be monitored of the automobile manufacturing enterprise is not within the preset allowable failure rate range of the automobile.
The invention has the beneficial effects that:
(1) according to the new energy automobile battery performance analysis monitoring system based on the big data, the charging parameters corresponding to each automobile to be monitored in each charging monitoring stage in an automobile manufacturing enterprise are collected and analyzed through the automobile to be monitored stage division module and the automobile to be monitored charging parameter collection module which are combined with the automobile to be monitored charging parameter analysis module, so that the problem that the charging performance corresponding to the new energy automobile is not subjected to targeted analysis at present is effectively solved, the limitation in the process of analyzing the new energy automobile battery performance at present is broken, the reliability of the new energy automobile battery performance analysis result is greatly improved, and the stability and the safety of the new energy automobile in the subsequent use process are effectively ensured; on the other hand, the charging condition of the new energy automobile corresponding to each charging stage is visually displayed, the charging stability and the charging efficiency of the new energy automobile battery are greatly highlighted, and the accuracy of the performance analysis of the new energy automobile battery is further guaranteed.
(2) According to the method, when the performance of the corresponding battery of the automobile to be monitored is analyzed, the corresponding production automobile in the automobile manufacturing enterprise is analyzed, so that the analysis requirement of the automobile manufacturing enterprise to be monitored on the charging performance of the battery of the new energy automobile manufactured by the automobile manufacturing enterprise can be met, the method is also suitable for analyzing the charging performance of a single new energy automobile, and the method has great practicability.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing the connection of modules of the system of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a new energy vehicle battery performance analysis and monitoring system based on big data comprises a vehicle information acquisition module to be monitored, a vehicle monitoring stage division module to be monitored, a vehicle charging parameter acquisition module to be monitored, a vehicle information base, a vehicle charging parameter analysis module to be monitored, and an analysis data feedback terminal; the system comprises a to-be-monitored automobile charging parameter analysis module, an automobile information base and an analysis data feedback terminal, wherein the to-be-monitored automobile charging parameter analysis module is respectively connected with an to-be-monitored automobile charging parameter acquisition module, an automobile information base and an analysis data feedback terminal;
the system comprises a to-be-monitored automobile information acquisition module, a charging area management module and a charging area management module, wherein the to-be-monitored automobile information acquisition module is used for acquiring the number of automobiles to be monitored, which are correspondingly selected by an automobile manufacturing enterprise, numbering each automobile to be monitored, and acquiring a preset charging area position corresponding to each automobile to be monitored;
the monitoring stage division module of the automobile to be monitored is used for dividing the preset monitoring period corresponding to the automobile to be monitored into an initial charging monitoring stage, a charging process monitoring stage and a charging completion monitoring stage on the basis of the preset monitoring period corresponding to the automobile to be monitored;
wait to monitor car charge parameter acquisition module for based on wait to monitor each charge monitoring stage that the car corresponds, to each charge monitoring stage in wait to monitor the charge parameter that the car corresponds and gather, it specifically includes:
a. when the automobile to be monitored is in an initial charging monitoring stage, acquiring initial charging parameters corresponding to the automobile to be monitored, wherein the acquisition process comprises the following steps:
a1. when each automobile to be monitored enters an initial charging stage, acquiring an initial charging time point corresponding to each automobile to be monitored by using a timer in a charging position of each automobile to be monitored, and further acquiring the initial charging time point corresponding to each automobile to be monitored;
a2. acquiring initial charging current and initial charging voltage corresponding to each automobile to be monitored by using electric power monitoring equipment, and further acquiring the initial charging current and the initial charging voltage corresponding to each automobile to be monitored, wherein the electric power monitoring equipment comprises a current transformer and a voltage transformer;
a3. collecting the temperature corresponding to the surface of each automobile battery to be monitored through a temperature sensor distributed on the surface of each automobile battery to be monitored to obtain the temperature corresponding to the surface of each automobile battery to be monitored, and recording the temperature as the initial charging temperature corresponding to each automobile battery to be monitored;
a4. the method comprises the steps of collecting the residual electric quantity currently corresponding to each automobile to be monitored through an electric quantity sensing unit in each automobile battery to be monitored, and obtaining the initial charging state of charge of each automobile to be monitored based on the residual electric quantity corresponding to each automobile to be monitored, wherein the initial charging state of charge calculation formula is the initial state of charge, namely the residual electric quantity, divided by the rated battery capacity, and the electric quantity sensing unit is an electric meter.
b. When the automobile to be monitored is in a charging process monitoring stage, the charging process parameters corresponding to the automobile to be monitored are collected, and the collection process is as follows:
b1. when each automobile to be monitored enters a charging process monitoring stage, acquiring output current and output voltage of a corresponding charging pile of each automobile to be monitored at each charging time point, and acquiring the output current and the output voltage of the corresponding charging pile of each automobile to be monitored;
b2. collecting charging current and charging voltage of each automobile to be monitored corresponding to each charging time point, and further acquiring the charging current and charging voltage corresponding to each automobile to be monitored;
b3. and acquiring the battery temperature of each automobile to be monitored at each charging time point, and further acquiring the battery temperature of each automobile to be monitored at each charging time point.
c. When the automobiles to be monitored are in a charging completion monitoring stage, acquiring charging completion parameters corresponding to the automobiles to be monitored, wherein the charging completion parameters corresponding to the automobiles to be monitored specifically include a charging completion time point, a corresponding charge state after charging, and a corresponding battery temperature after charging.
The automobile information base is used for storing standard automobile type parameters corresponding to automobiles to be monitored of automobile manufacturers, wherein the standard automobile type parameters corresponding to the automobiles to be monitored of the automobile manufacturers comprise rated charging voltage, rated charging current, rated electric capacity, standard charging time, rated battery charging temperature range and corresponding standard charge state after charging is completed.
The system comprises a to-be-monitored automobile charging parameter analysis module, a charging monitoring stage and a charging monitoring module, wherein the to-be-monitored automobile charging parameter analysis module is used for analyzing the charging performance corresponding to each to-be-monitored automobile in each charging monitoring stage based on the charging parameter corresponding to each to-be-monitored automobile in each charging monitoring stage and the standard automobile model parameter corresponding to the to-be-monitored automobile, further counting the comprehensive charging performance conforming index of each to-be-monitored automobile, and judging the charging performance state corresponding to the to-be-monitored automobile of an automobile manufacturing enterprise;
illustratively, analyzing the charging performance corresponding to each vehicle to be monitored in each charging monitoring stage specifically includes the following steps:
the method comprises the following steps of firstly, analyzing the charging performance corresponding to each automobile to be monitored in an initial charging monitoring stage, and counting the initial charging performance conforming indexes corresponding to each automobile to be monitored, wherein the specific counting process comprises the following steps:
a1, obtaining the initial charging current and the initial charging voltage corresponding to each automobile to be monitored, calculating by using a calculation formula to obtain the initial charging power parameter coincidence index of each automobile to be monitored, and recording as DjJ represents the number of the automobile to be monitored, and j is 1,2
Figure BDA0003599831300000111
ε 1 and ε 2 denote correction coefficients, cj,vjThe initial charging current and the initial charging voltage corresponding to the jth automobile to be monitored are represented, c 'and v' are represented as the standard initial charging current and the standard initial charging voltage corresponding to the preset automobile to be monitored, and Δ c and Δ v are represented as the preset allowable charging current difference value and the preset allowable charging voltage difference value.
A2, obtaining the initial battery temperature corresponding to each automobile to be monitored, and calculatingCalculating by a formula to obtain an initial battery temperature coincidence index of each automobile to be monitored, and marking as WjWherein, in the process,
Figure BDA0003599831300000112
Wjindicates that the temperature corresponding to the initial charging battery of the jth automobile to be monitored meets the index, wjAnd w' represents a standard initial battery temperature threshold value corresponding to a preset automobile to be monitored, and delta w represents an allowable initial battery temperature difference.
A3, counting initial charging performance coincidence indexes corresponding to the automobiles to be monitored based on the initial charging power parameter coincidence indexes and the initial battery temperature coincidence indexes of the automobiles to be monitored, and marking the initial charging performance coincidence indexes as deltajWherein, δj=μ1*Dj+μ2*WjAnd the mu 1 and the mu 2 are respectively expressed as a preset influence weight of the automobile power parameter and an influence weight corresponding to the preset battery temperature.
And secondly, analyzing the charging performance corresponding to each automobile to be monitored in the charging process monitoring stage, and counting the charging process performance conformity index corresponding to each automobile to be monitored, wherein the specific counting process comprises the following steps:
b1, counting the charging capacity coincidence index of each automobile to be monitored based on the output current of the corresponding charging pile of each automobile to be monitored at each charging time point and the charging current of each automobile to be monitored at each charging time point, and recording the charging capacity coincidence index as GjWherein, the statistical process of the charge capacity conformity index of each automobile to be monitored is as follows:
b1-1, based on the output parameters of the charging piles corresponding to the automobiles to be monitored, extracting the output current of the output parameters of the charging piles corresponding to the automobiles to be monitored corresponding to each charging time point from the output parameters, and calculating to obtain the corresponding accumulated output capacity of the charging piles corresponding to the automobiles to be monitored in the charging process monitoring stage, wherein the specific calculation formula is
Figure BDA0003599831300000121
c″jIs expressed as the jth automobile to be monitored at the tth charging time pointThe output current of the charging pile is t, which represents the charging time point number, and t is 1, 2.
B1-2, based on the reference charging parameters corresponding to the automobiles to be monitored, extracting the charging current corresponding to the automobiles to be monitored at each charging time point, and calculating according to the calculation mode to obtain the corresponding accumulated charging capacity of the automobiles to be monitored at the monitoring stage of the charging process;
b1-3, calculating the charging capacity of each automobile to be monitored according to the index based on the corresponding accumulated output capacity of the charging pile corresponding to each automobile to be monitored in the charging process monitoring stage and the corresponding accumulated charging capacity of each automobile to be monitored in the charging process monitoring stage, wherein the calculation formula is
Figure BDA0003599831300000131
GjIs expressed as the jth automobile charging capacity to be monitored accords index, R'jThe accumulated rush-in capacity corresponding to the jth automobile to be monitored in the charging process monitoring stage is represented, and delta R is represented as a preset allowable charging capacity difference value;
b2, counting the charging power comprehensive conformity index of each automobile to be monitored based on the rated charging current and rated charging voltage corresponding to the automobile to be monitored, the charging current and charging voltage corresponding to each charging time point of each automobile to be monitored and the output current and output voltage corresponding to each charging time point of the charging pile corresponding to each automobile to be monitored, and recording the charging power comprehensive conformity index as P ″jWherein, the concrete statistical process that each car electric power that waits to monitor comprehensive accord with the index and corresponds is:
b2-1, constructing a rated charging curve of the automobile to be monitored based on the rated charging current and the rated charging voltage corresponding to the automobile to be monitored, wherein the rated charging curve of the automobile to be monitored comprises a rated current curve and a rated voltage curve;
b2-2, respectively constructing actual charging curves of the automobiles to be monitored by taking the charging time points as abscissa and the current as ordinate and the charging time points as abscissa and the voltage as ordinate based on the charging current and the charging voltage of the automobiles to be monitored corresponding to the charging time points, wherein the actual charging curves of the automobiles to be monitored comprise actual charging current curves and actual charging voltage curves;
b2-3, based on the output current and the output voltage of the corresponding charging pile of each automobile to be monitored at each charging time point, constructing an actual power transmission curve of the corresponding charging pile of each automobile to be monitored according to an actual charging curve construction mode of each automobile to be monitored, wherein the actual power transmission curve of the corresponding charging pile of each automobile to be monitored comprises an actual power transmission current curve and an actual power transmission voltage curve;
b2-4, based on the rated charging curve of the automobile to be monitored and the actual charging curve of each automobile to be monitored, carrying out corresponding coincidence comparison on the actual charging current curve and the actual charging voltage curve of each automobile to be monitored and the rated current curve and the rated voltage curve thereof respectively, and obtaining the length of the coincidence region of the actual charging current curve and the rated current curve of each automobile to be monitored and the length of the coincidence region of the actual charging voltage curve and the rated voltage curve of each automobile to be monitored respectively;
b2-5, based on the actual charging current curve and the actual charging voltage curve in the constructed actual charging curves of the automobiles to be monitored, obtaining the corresponding lengths of the actual charging current curve and the actual charging voltage curve of the automobiles to be monitored, and calculating the matching degree of the actual charging curve of the automobiles to be monitored and the rated charging curve thereof by using a calculation formula, wherein the calculation formula is that
Figure BDA0003599831300000141
Wherein, PjExpressed as the matching degree, l, corresponding to the actual charging curve of the jth automobile to be monitored and the rated charging curve thereofj,l′jExpressed as the length of the overlapping area between the actual charging current curve and the rated current curve in the actual charging curve of the jth automobile to be monitored, the length of the overlapping area between the actual voltage curve and the rated voltage curve, Lj,L′jRespectively representing the length corresponding to the actual charging current curve and the length corresponding to the actual charging voltage curve of the jth automobile to be monitored, wherein eta 1 and eta 2 respectively represent the influence coefficient corresponding to preset current and the influence coefficient corresponding to voltage;
b2-6, obtaining the actual of each automobile to be monitoredCalculating the matching degree of each actual charging curve of the automobile to be monitored and the actual power transmission curve of the corresponding charging pile according to the matching degree calculation method corresponding to each actual charging curve of the automobile to be monitored and the rated charging curve of the automobile to be monitored, and marking the matching degree as P'j
B2-7, counting the charging power comprehensive conformity index of each automobile to be monitored based on the matching degree of each actual charging curve of the automobile to be monitored and the rated charging curve thereof and the matching degree of each actual charging curve of the automobile to be monitored and the actual power transmission curve of the corresponding charging pile, wherein the specific calculation formula is
Figure BDA0003599831300000151
P″jThe charging power corresponding to the jth automobile to be monitored comprehensively conforms to the index,
Figure BDA0003599831300000152
is a preset weight;
b3, analyzing the temperature coincidence index of the charging process of each automobile to be monitored based on the battery temperature of each automobile to be monitored at each charging time point, and recording the temperature coincidence index as the temperature coincidence index
Figure BDA0003599831300000153
The temperature coincidence index analysis process of each automobile to be monitored in the charging process is as follows: matching and comparing the battery temperature of each automobile to be monitored corresponding to each charging time point with the rated battery charging temperature range, recording the temperature coincidence index of the automobile to be monitored in the charging process as phi if the temperature of a certain automobile battery to be monitored corresponding to each charging time point is within the rated battery charging temperature range, and recording the temperature coincidence index as phi if the temperature is not within the rated battery charging temperature range
Figure BDA0003599831300000154
Further acquiring temperature coincidence index of each automobile to be monitored in the charging process
Figure BDA0003599831300000155
Value of phi or
Figure BDA0003599831300000156
It should be noted that, in the following description,
Figure BDA0003599831300000157
and s represents the times that the battery temperature is not in the rated charging range of the battery.
B4, calculating the corresponding charging process performance conformity index of each automobile to be monitored by using a calculation formula, and marking the performance conformity index as gammajWherein, in the step (A),
Figure BDA0003599831300000158
wherein σ 1, σ 2, and σ 3 are preset correction coefficients, respectively.
And secondly, analyzing the charging performance corresponding to each automobile to be monitored in the charging completion monitoring stage, and counting the charging completion performance coincidence index corresponding to each automobile to be monitored, wherein the specific counting process is as follows:
c1, acquiring the actual charging time length corresponding to each automobile to be monitored based on the initial charging time point and the charging completion time point corresponding to each automobile to be monitored, and recording the actual charging time length as Tj actualComparing the charging time with the standard charging time of the automobile to be monitored, counting the charging time of each automobile to be monitored, and recording as Fj
The statistical process of the charging time length conformity index of each automobile to be monitored is as follows:
acquiring initial charging charge states corresponding to all the automobiles to be monitored, matching and comparing the initial charge states corresponding to all the automobiles to be monitored with the initial charge states corresponding to the preset charging duration influence coefficients based on the initial charge states corresponding to all the automobiles to be monitored, screening the charging duration influence coefficients corresponding to the initial charge states of all the automobiles to be monitored, and marking the charging duration influence coefficients as tauj
Based on the charging time influence coefficient and the actual charging time corresponding to the initial charge of each automobile to be monitored, calculating each automobile to be monitored by using a calculation formulaThe corresponding charging time period accords with an index FjWherein, in the process,
Figure BDA0003599831300000161
Tstandard of referenceAnd the standard charging time length of the automobile to be monitored is shown, and delta T is the allowable charging time difference.
C2, calculating the charge state coincidence index of each automobile to be monitored after charging based on the corresponding charge state of each automobile to be monitored after charging, and recording the charge state coincidence index as HjWherein, in the process,
Figure BDA0003599831300000162
Ejrepresents the corresponding charge state of the jth automobile to be monitored when the charging is finished, EStandard of referenceAnd the standard state of charge corresponding to the charging completion of the automobile to be monitored is represented, and delta E is the allowable state of charge difference.
C3, calculating battery temperature conformity indexes of the automobiles to be monitored after charging based on the corresponding battery temperatures of the automobiles to be monitored after charging, and recording the battery temperatures as KjWherein, in the process,
Figure BDA0003599831300000163
Wupper limit ofRepresenting the upper limit value, W 'of the charging temperature range of the rated battery of the automobile to be monitored'jAnd is expressed as the corresponding battery temperature when the charging of the jth automobile to be monitored is completed.
C4, calculating the corresponding charge completion performance conformity index of each automobile to be monitored by using a calculation formula, and marking the charge completion performance conformity index as lambdaj
Figure BDA0003599831300000171
ω 1, ω 2, ω 3 are preset weighting coefficients, and e is a constant.
Illustratively, the specific statistical formula corresponding to the comprehensive charging performance conformity index of each automobile to be monitored is
Figure BDA0003599831300000172
Alpha 1, alpha 2 and alpha 3 are preset coefficients, QjAnd the comprehensive charging performance corresponding to the jth automobile to be monitored is expressed as a coincidence index.
In another example, the specific determination process for determining the charging performance state corresponding to the vehicle to be monitored in the vehicle manufacturing enterprise is as follows:
comparing the comprehensive charging performance conformity index corresponding to each automobile to be monitored with a preset standard charging performance conformity index, if the comprehensive charging performance conformity index corresponding to a certain automobile to be monitored is greater than or equal to the preset standard charging performance conformity index, marking the automobile to be monitored as a qualified automobile, otherwise, marking the automobile to be monitored as an unqualified automobile;
counting the number of unqualified automobiles corresponding to the automobile manufacturing enterprises, comparing the number of unqualified automobiles corresponding to the automobile manufacturing enterprises with the number of automobiles to be monitored corresponding to the automobile manufacturing enterprises, and analyzing the corresponding unqualified rate of the automobiles to be monitored, wherein the corresponding unqualified rate calculation formula of the automobiles to be monitored is as follows
Figure BDA0003599831300000173
y represents the corresponding failure rate of the automobiles to be monitored, p represents the corresponding number of failed automobiles in the automobile manufacturing enterprise, and m represents the number of the automobiles to be monitored correspondingly selected by the automobile manufacturing enterprise;
matching and comparing the unqualified rate corresponding to the automobile to be monitored of the automobile manufacturing enterprise with a preset automobile allowable unqualified rate range, and if the unqualified rate corresponding to the automobile to be monitored of the automobile manufacturing enterprise exceeds the preset automobile allowable unqualified rate range, recording the charging performance state corresponding to the automobile to be monitored of the automobile manufacturing enterprise as an unqualified state, otherwise, recording the charging performance state as a qualified state.
According to the embodiment of the invention, the charging parameters corresponding to each automobile to be monitored in each charging monitoring stage in an automobile manufacturing enterprise are acquired and analyzed, so that the problem that the charging performance corresponding to a new energy automobile is not subjected to targeted analysis currently is effectively solved, the limitation in the process of analyzing the performance of the new energy automobile battery at present is broken, the reliability of the performance analysis result of the new energy automobile battery is greatly improved, and the stability and the safety of the source automobile in the subsequent use process are effectively ensured; on the other hand, the charging condition of the new energy automobile corresponding to each charging stage is visually displayed, the charging stability and the charging efficiency of the new energy automobile battery are greatly highlighted, and the accuracy of the new energy automobile battery performance analysis is further guaranteed.
Meanwhile, when the performance of the corresponding battery of the automobile to be monitored is analyzed, the corresponding production automobile in the automobile manufacturing enterprise is analyzed, so that the analysis requirement of the automobile manufacturing enterprise on the charging performance of the battery of the new energy automobile to be manufactured can be met, the method is also suitable for analyzing the charging performance of a single new energy automobile, and the method has great practicability.
And the analysis data feedback terminal is used for sending the corresponding charging performance state of the automobile to be monitored of the automobile manufacturing enterprise to an automobile performance analyzer of the automobile manufacturing enterprise.
The foregoing is illustrative and explanatory only of the present invention, and it is intended that the present invention cover modifications, additions, or substitutions by those skilled in the art, without departing from the spirit of the invention or exceeding the scope of the claims.

Claims (10)

1. The utility model provides a new energy automobile battery performance analysis monitoring system based on big data which characterized in that includes:
the system comprises a to-be-monitored automobile information acquisition module, a charging area management module and a charging area management module, wherein the to-be-monitored automobile information acquisition module is used for acquiring the number of automobiles to be monitored, which are selected correspondingly by automobile manufacturing enterprises, numbering all automobiles to be monitored and acquiring the corresponding preset charging area position of each automobile to be monitored;
the monitoring stage division module of the automobile to be monitored is used for dividing the preset monitoring period corresponding to the automobile to be monitored into an initial charging monitoring stage, a charging process monitoring stage and a charging completion monitoring stage on the basis of the preset monitoring period corresponding to the automobile to be monitored;
treat monitoring vehicle charging parameter acquisition module for based on treat each charging monitoring stage that monitoring vehicle corresponds, gather the charging parameter that each treat monitoring vehicle corresponds in each charging monitoring stage, it specifically includes:
a. when the automobiles to be monitored are in an initial charging monitoring stage, acquiring initial charging parameters corresponding to the automobiles to be monitored;
b. when the automobiles to be monitored are in a charging process monitoring stage, collecting charging process parameters corresponding to the automobiles to be monitored;
c. when the automobiles to be monitored are in a charging completion monitoring stage, acquiring charging completion parameters corresponding to the automobiles to be monitored;
the automobile information base is used for storing standard automobile type parameters corresponding to automobiles to be monitored of automobile manufacturing enterprises;
the system comprises a charging parameter analysis module of the automobile to be monitored, a charging performance state judgment module of the automobile to be monitored, and a charging performance state judgment module of the automobile to be monitored;
and the analysis data feedback terminal is used for sending the corresponding charging performance state of the automobile to be monitored of the automobile manufacturing enterprise to automobile performance analysis personnel of the automobile manufacturing enterprise.
2. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the specific acquisition process for acquiring the initial charging parameters corresponding to each automobile to be monitored is as follows:
when each automobile to be monitored enters an initial charging stage, acquiring an initial charging time point corresponding to each automobile to be monitored by using a timer in a charging position of each automobile to be monitored, and further acquiring the initial charging time point corresponding to each automobile to be monitored;
acquiring initial charging current and initial charging voltage corresponding to each automobile to be monitored by using electric power monitoring equipment so as to obtain the initial charging current and the initial charging voltage corresponding to each automobile to be monitored;
collecting the temperature corresponding to the surface of each automobile battery to be monitored through a temperature sensor distributed on the surface of each automobile battery to be monitored to obtain the temperature corresponding to the surface of each automobile battery to be monitored, and recording the temperature as the initial battery temperature corresponding to each automobile to be monitored;
the method comprises the steps of collecting the current corresponding residual electric quantity of each automobile to be monitored through an electric quantity sensing unit in each automobile battery to be monitored, and obtaining the initial charging state of charge of each automobile to be monitored based on the corresponding residual electric quantity of each automobile to be monitored.
3. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the specific acquisition process for acquiring the charging process parameters corresponding to each automobile to be monitored is as follows:
when each automobile to be monitored enters a charging process monitoring stage, acquiring output current and output voltage of a corresponding charging pile of each automobile to be monitored at each charging time point, and acquiring the output current and the output voltage of the corresponding charging pile of each automobile to be monitored;
collecting charging current and charging voltage of each automobile to be monitored corresponding to each charging time point, and further acquiring the charging current and charging voltage corresponding to each automobile to be monitored;
and acquiring the battery temperature of each automobile to be monitored at each charging time point, and further acquiring the battery temperature of each automobile to be monitored at each charging time point.
4. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the charging completion parameters corresponding to each automobile to be monitored are specifically a charging completion time point, a corresponding charge state after charging, and a corresponding battery temperature after charging.
5. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the standard vehicle type parameters corresponding to the vehicle to be monitored specifically comprise a rated charging voltage, a rated charging current, a rated battery capacity, a standard charging time, a rated battery charging temperature range and a corresponding standard state of charge when charging is completed.
6. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the analysis of the charging performance corresponding to each automobile to be monitored in each charging monitoring stage is used for analyzing an initial charging performance coincidence index corresponding to each automobile to be monitored, and the analysis process comprises the following steps:
a1, obtaining the initial charging current and the initial charging voltage corresponding to each automobile to be monitored, calculating by using a calculation formula to obtain the initial charging power parameter coincidence index of each automobile to be monitored, and recording as DjJ represents the number of the automobile to be monitored, and j is 1, 2.
A2, obtaining the initial battery temperature corresponding to each automobile to be monitored, calculating by using a calculation formula to obtain the initial battery temperature coincidence index of each automobile to be monitored, and marking as Wj
A3, counting to obtain initial charging performance coincidence indexes corresponding to the automobiles to be monitored based on the initial charging power parameter coincidence indexes and the initial battery temperature coincidence indexes of the automobiles to be monitored, and marking the initial charging performance coincidence indexes as deltaj
7. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the method is characterized in that the charging performance corresponding to each automobile to be monitored in each charging monitoring stage is analyzed to analyze the performance conformity index of the charging process corresponding to each automobile to be monitored, and the specific analysis process is as follows:
b1, counting the charging capacity coincidence index of each automobile to be monitored based on the output current of the corresponding charging pile of each automobile to be monitored at each charging time point and the charging current of each automobile to be monitored at each charging time point, and recording the charging capacity coincidence index as Gj
B2, based on the corresponding rated charging current of the automobile to be monitored,The method comprises the steps of calculating a charging power comprehensive coincidence index of each automobile to be monitored, and marking as P ″, wherein the charging current and the charging voltage of each automobile to be monitored at each charging time point and the output current and the output voltage of each charging pile corresponding to each automobile to be monitored at each charging time point are respectively rated charging voltage, charging current and charging voltage of each automobile to be monitored at each charging time point, and the charging power comprehensive coincidence index of each automobile to be monitored is countedj
B3, analyzing the temperature coincidence index of the charging process of each automobile to be monitored based on the battery temperature of each automobile to be monitored at each charging time point, and recording the temperature coincidence index as the temperature coincidence index
Figure FDA0003599831290000041
B4, calculating the corresponding charging process performance conformity index of each automobile to be monitored by using a calculation formula, and marking the performance conformity index as gammajWherein, in the step (A),
Figure FDA0003599831290000042
wherein σ 1, σ 2, and σ 3 are preset correction coefficients, respectively.
8. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: when the charging performance corresponding to each automobile to be monitored in each charging monitoring stage is analyzed, the charging completion performance corresponding to each automobile to be monitored is analyzed according with the index, and the analysis process comprises the following steps:
c1, acquiring the actual charging time length corresponding to each automobile to be monitored based on the initial charging time point and the charging completion time point corresponding to each automobile to be monitored, and recording the actual charging time length as Tj actualComparing the charging time with the standard charging time of the automobile to be monitored, counting the charging time of each automobile to be monitored to meet the index, and recording as Fj
C2, calculating the charging completion state coincidence index of each automobile to be monitored based on the corresponding charging state of each automobile to be monitored when the charging is completed, and recording the charging completion state coincidence index as Hj
C3, calculating battery temperature coincidence indexes of the charged automobiles to be monitored based on the corresponding battery temperatures of the automobiles to be monitored when the charging is finished, and recording the battery temperaturesIs Kj
C4, calculating the corresponding charge completion performance conformity index of each automobile to be monitored by using a calculation formula, and marking the charge completion performance conformity index as lambdaj
Figure FDA0003599831290000051
ω 1, ω 2, ω 3 are preset weighting coefficients, and e is a constant.
9. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the concrete statistical formula corresponding to the comprehensive charging performance conformity index of each automobile to be monitored is as follows:
Figure FDA0003599831290000052
alpha 1, alpha 2 and alpha 3 are preset coefficients, QjAnd the comprehensive charging performance corresponding to the jth automobile to be monitored is expressed as a coincidence index.
10. The new energy automobile battery performance analysis and monitoring system based on big data according to claim 1, characterized in that: the specific judgment process for judging the charging performance state corresponding to the automobile to be monitored in the automobile manufacturing enterprise is as follows:
comparing the comprehensive charging performance conformity index corresponding to each automobile to be monitored with a preset standard charging performance conformity index, if the comprehensive charging performance conformity index corresponding to a certain automobile to be monitored is greater than or equal to the preset standard charging performance conformity index, marking the automobile to be monitored as a qualified automobile, otherwise, marking the automobile to be monitored as an unqualified automobile;
counting the number of corresponding unqualified automobiles in the automobile manufacturing enterprise, comparing the number of the corresponding unqualified automobiles in the automobile manufacturing enterprise with the number of the automobiles to be monitored selected corresponding to the automobile manufacturing enterprise, and analyzing the corresponding unqualified rate of the automobiles to be monitored;
matching and comparing the unqualified rate corresponding to the automobile to be monitored of the automobile manufacturing enterprise with a preset automobile allowable unqualified rate range, and if the unqualified rate corresponding to the automobile to be monitored of the automobile manufacturing enterprise exceeds the preset automobile allowable unqualified rate range, recording the charging performance state corresponding to the automobile to be monitored of the automobile manufacturing enterprise as an unqualified state, otherwise, recording the charging performance state as a qualified state.
CN202210400476.9A 2022-04-16 2022-04-16 New energy automobile battery performance analysis monitoring system based on big data Pending CN114779099A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116449235A (en) * 2023-06-14 2023-07-18 江苏安之技科技发展有限公司 Method and system for processing test data of energy storage battery

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116449235A (en) * 2023-06-14 2023-07-18 江苏安之技科技发展有限公司 Method and system for processing test data of energy storage battery
CN116449235B (en) * 2023-06-14 2023-08-29 江苏安之技科技发展有限公司 Method and system for processing test data of energy storage battery

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