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CN-120336678-B - Operation self-checking method, system and medium for intelligent sharing charging pile

CN120336678BCN 120336678 BCN120336678 BCN 120336678BCN-120336678-B

Abstract

The invention provides an operation self-checking method, a system and a medium for an intelligent shared charging pile, which belong to the field of charging pile management and solve the problem of low self-checking efficiency of the charging pile, and concretely comprise the following steps of S1, S2, acquiring historical charging data of the charging pile, constructing a pre-estimation equation A and a pre-estimation equation B, S3, acquiring a charging request of an electric car, combining the pre-estimation equation A and the pre-estimation equation B, pre-estimating the maximum output voltage and the maximum output current of the charging pile, comparing the maximum output voltage and the maximum output current with the actual output voltage and the actual output current of the charging pile, judging whether the charging pile is normal or not, if not, and if not, marking the charging pile with faults, S4, continuously monitoring the charging pile with faults, summarizing the charging pile with the faults, and feeding back, and analyzing the change of the electrical parameters of the charging pile in the charging process by acquiring, analyzing and processing the related data of the charging pile, so that the operation self-checking efficiency of the charging pile is improved.

Inventors

  • LIN DIANYONG
  • Li Mianze
  • LI XIUYING

Assignees

  • 小牛闪充(深圳)智能科技有限公司

Dates

Publication Date
20260512
Application Date
20250403

Claims (9)

  1. 1. An operational self-checking method for an intelligent shared charging pile, the method comprising: Step S1, acquiring the number of charging piles, and acquiring the maximum rated power, the maximum rated current and the maximum rated voltage of the charging piles to obtain charging pile data; Step S2, acquiring historical charging data of a charging pile, performing primary mathematical modeling on the historical charging data, analyzing the change of the charging time of the charging pile when the battery overheat protection occurs and the battery overheat protection does not occur in the charging process of the electric vehicle, and constructing a prediction equation A; The specific steps of the step S2 are as follows: Step S21, acquiring the number ch of charging piles, and acquiring the charging times ne （1） ～ne （ch） of all the charging piles; step S22, counting the times ro （1） of the battery overheat protection of the 1 st charging pile, the times ur （1） of the battery overheat protection not occurring, and the critical electric quantity le （1） of the battery overheat protection occurring; Step S221, taking ne （1） as nel, and obtaining the charging time te （1） ～te （nel） of the 1 st charging pile for the 1 st to nel th charging operations; Step S222, judging whether overheat protection of the battery occurs when the 1 st charging pile performs the 1 st charging operation; taking te （1） as tel, and acquiring charging power pi （1） ～pi （tel） of the electric car from the 1 st charging operation to the tel seconds; step S223, judging whether overheat protection occurs to the battery according to pi （1） ～pi （tel） ; if so, ro （1） is incremented by 1, the value of le （1,1） is calculated: If not, ur （1） plus 1, le （1,1） has a value of 0; Step S224, judging whether the battery overheat protection occurs in the 2 nd to nel th charging operations, and calculating the critical electric quantity le （1,2） ～le （1,nel） of the 2 nd to nel th charging operations; Calculating the sum ale of le （1,1） ～le （1,nel） , and calculating the critical electric quantity le （1） of the 1 st charging pile; Step S23, counting the times ro （2） ～ro （ch） of the battery overheat protection of the 2 nd to the ch charging piles, the times ur （2） ～ur （ch） of the battery overheat protection of the charging piles, the critical electric quantity le （2） ～le （ch） of the battery overheat protection, and calculating the probability P （ro） of the battery overheat protection of the charging piles and the probability P （ur） of the battery overheat protection of the charging piles; Calculating an average value ale of le （2） ～le （ch） , extracting a maximum value le （max） and a minimum value le （min） in le （2） ～le （ch） , and calculating a quasi-charge amount Epr: Step S24, constructing an estimated equation A （1） ～A （ch） of the 1 st to the ch charging stations, fitting the equation A （1） ～A （ch） to obtain an estimated equation A; s25, analyzing the change of output power, output voltage and output current along with time in the charging process of the 1 st to the ch charging stations, and constructing an estimated equation B of the charging stations; step S3, acquiring a charging request of the electric car, detecting whether the electric car has overheat protection of a battery in the charging process, and predicting the maximum output voltage and the maximum output current of the charging pile in the charging process by combining the prediction equation A and the prediction equation B; and S4, continuously monitoring the charging process of the charging pile, summarizing the failed charging pile, and feeding back.
  2. 2. The method for operating the self-checking of the intelligent shared charging pile according to claim 1, wherein the specific steps of the step S24 are as follows: Step S241, constructing a predictive equation A （1） , taking ur （1） as url, and acquiring charging time tl （1） ～tl （url） of 1 st to url times of charging, electric quantity percentage ec （1） ～ec （url） , battery capacity ba （1） ～ba （url） and charging power pi （1） ～pii （url） in target data; Step S242, calculating a total charge amount re （1） of the 1 st charge, a total charge amount re （url） of the url-th charge; Constructing a matrix X and a matrix Y; Step S243, setting the charging time of the h-time charging as tl （h） , the charging power of the electric vehicle as pii （h） , the electric quantity percentage of the electric vehicle as ec （h） , the battery capacity as ba （h） and the total charging quantity as re （h） ; Defining a relation coefficient beta （0） ～β （5） of the equation A （1） , and constructing an initial equation of the equation A （1） ; step S244, constructing a relation coefficient matrix B, recording regularization parameters as lambda, and calculating a residual matrix Zz; step S245, defining a matrix B residual error square sum RSS, constructing a judgment formula of the RSS, and iterating the judgment formula until the value of the RSS is minimum to obtain a matrix Bb; Substituting parameters in the matrix Bb into an initial equation to obtain an equation A （1） ; and S245, constructing an estimated equation A （2） ～A （ch） of the 2 nd to the ch charging stations.
  3. 3. The method for operating the self-checking of the intelligent shared charging pile according to claim 1, wherein the specific steps of the step S25 are as follows: Step S251, constructing a voltage and current estimation equation B （1） of the 1 st charging station; Taking url （1） as url, and acquiring the charging time tl （1） ～tl （url） of the 1 st to url-th charging operations in the target data; Step S252, taking tl （1） as tll, obtaining output power Po （1） ～Po （tll） , output voltage Uo （1） ～Uo （tll） and output current Io （1） ～Io （tll） of 1 st to tll seconds in the 1 st charge; Calculating an autoregressive coefficient Pphi （1,1） and a moving average coefficient Ptheta （1,1） of the output power; step S253, calculating an autoregressive coefficient Pphi （1,2） ～Pθ （1,url） and a moving average coefficient Ptheta （1,2） ～Pθ （1,url） of output power of the 1 st charging station in the 2 nd to url charging operation; The average value of Pphi （1,1） ～Pθ （1,url） is calculated as an autoregressive coefficient Pphi （1） of the output power of the 1 st charging station, and the average value of Ptheta （1,1） ～Pθ （1,url） is calculated as a moving average coefficient Ptheta （1） of the output power of the 1 st charging station.
  4. 4. The method for operating a self-checking intelligent shared charging pile according to claim 3, wherein the specific steps of step S252 are as follows: step S2521, calculating an average value aPo of Po （1） ～Po （tll） ; Calculating white noise ψ （1） ～ψ （tll） of 1 st to tll th seconds of the output power; Step S2522, logarithmizing the function according to the psi （1） ～ψ （tll） and va constructors to obtain a logarithmized function; Step S2523 defines an iterative relationship of Pphi （1,1） and Ptheta （1,1） : Let the kth second deviation value be de （k） , construct the function S (Pφ （1,1） ,Pθ （1,1） ), and calculate the partial derivative Ss of the autoregressive coefficients (Pφ （1,1） ) and the partial derivative Ss of the moving average coefficients (Pθ （1,1） ).
  5. 5. The method for operating a self-test of an intelligent shared charging pile according to claim 4, wherein the following steps of step S2523 are as follows: Step S2524, namely, the autoregressive coefficient after the mth iteration is recorded as (P phi （m） （1,1） ), the moving average coefficient is recorded as (P theta （m） （1,1） ), the partial derivative of the autoregressive coefficient is recorded as Ss （m） （Pφ （1,1） ), and the partial derivative of the moving average coefficient is recorded as Ss （m） （Pθ （1,1） ); The autoregressive coefficient after the (m+1) th iteration is denoted as (Pphi （m+1） （1,1） ), the moving average coefficient is denoted as (Ptheta （m+1） （1,1） ), and an iteration relation is defined; Step S2525, substituting the 1 st to tll th second deviation values de （1） ～de （tll） as white noise into the logarithmic function in a reverse mode, and iterating the Pphi （1,1） and the Ptheta （1,1） according to the iteration relation until the logarithmic function converges to obtain an autoregressive coefficient Pphi （1,1） and a sliding average coefficient Ptheta （1,1） .
  6. 6. The operation self-checking method for intelligent sharing charging pile according to claim 1, wherein the specific steps of step S3 are as follows: step S31, obtaining a quasi-charge amount Epr, a probability P （ro） of occurrence of overheat protection of the battery and a probability P （ur） of non-occurrence of overheat protection of the battery; acquiring the current electric quantity percentage en, the battery capacity at, the charging power Pe and the charging power Ppe of the battery during overheat protection of the electric car; acquiring actual output power nPP of the charging pile, actual output voltage nUU and actual output current nII; S32, substituting en, at and Pe into an estimated equation A, and calculating ideal charging time gt; substituting Epr and Pe into the estimated equation A to calculate charging time ti （1） , and then En, at, epr and Ppe are substituted into the estimated equation A for the second time, and charging time ti （2） is calculated to obtain expected charging duration qt; Step S33, calculating and extracting the maximum output power P （max） , the maximum output voltage U （max） and the maximum output current I （max） of the charging pile in the 1 st to qt seconds according to the pre-estimation equation B; And step S34, the maximum rated power of the charging pile is recorded as Pw （max） , the maximum rated current is recorded as Uw （max） , the maximum rated voltage is recorded as Iw （max） , and the charging process of the charging pile is judged.
  7. 7. The method for operating a self-test intelligent sharing charging pile according to claim 6, wherein the charging process of the charging pile is determined, specifically as follows: setting the real-time output voltage of the charging station in the charging process as Ut and the real-time output current as It; Judging Whether or not to establish; if so, the charging pile charges normally; If not, judge Whether or not to establish; if so, the charging pile is abnormal; if not, analyzing the real-time output power of the charging pile; step S35, calculating real-time output power Pt; Judging whether Pt > Pw （max） is true or not; if so, the charging pile is abnormal; If not, judging whether the change rates of P （max） 、U （max） and I （max） are the same; If the charging piles are the same, the charging piles are normal; if the charging piles are different, the charging piles are abnormal.
  8. 8. An operation self-checking system for an intelligent shared charging pile, which is applicable to the operation self-checking method for the intelligent shared charging pile according to any one of claims 1-7, and is characterized in that the system comprises: The data acquisition module is used for acquiring the number of the charging piles, and acquiring the maximum rated power, the maximum rated current and the maximum rated voltage of the charging piles to obtain charging pile data; The data analysis module is used for acquiring historical charging data of the charging pile, carrying out primary mathematical modeling on the historical charging data, analyzing the change of the charging time of the charging pile when the battery overheat protection occurs and the battery overheat protection does not occur in the charging process of the electric car, and constructing a prediction equation A; The fault monitoring module is used for acquiring a charging request of the electric car, detecting whether the electric car has overheat protection of a battery in the charging process, and predicting the maximum output voltage and the maximum output current of the charging pile in the charging process by combining the prediction equation A and the prediction equation B; And the continuous monitoring module is used for continuously monitoring the charging process of the charging pile, summarizing the charging pile with faults and feeding back the charging pile.
  9. 9. A storage medium for intelligent shared charging pile operation self-test, having stored thereon a computer program, which when executed by a processor, performs the steps of the method according to any of claims 1-7.

Description

Operation self-checking method, system and medium for intelligent sharing charging pile Technical Field The invention discloses an operation self-checking method, a system and a medium for an intelligent shared charging pile, and relates to the field of charging pile management. Background The existing operation self-checking method or system for the shared charging pile has the following defects: The maintenance cost is high, the existing self-checking system integrates various technologies such as network communication, data processing, remote monitoring and the like, so that the manufacturing cost is relatively high, and in order to ensure the stability and the reliability of the system, high-quality hardware equipment and advanced software algorithms are required to be adopted, so that the cost is further increased. The normal operation of the self-checking system depends on stable network infrastructure, and if the network signal is unstable or interrupted, the data transmission delay or failure can be caused, so that the real-time monitoring and fault diagnosis functions of the system are affected. The accuracy problem is that most of the existing self-checking algorithms are based on threshold comparison of rated working data of the charging pile, and the existing self-checking algorithms do not have data analysis capability, so that the situation that the charging pile works normally but the electric car is abnormal (namely, the output power of the charging pile is not matched with the charging power of the electric car) occurs, and potential safety hazards exist. Disclosure of Invention Aiming at the defects existing in the prior art, the invention aims to provide a running self-checking method, a running self-checking system and a running self-checking medium for an intelligent shared charging pile, and aims to solve the problem of low self-checking efficiency of the charging pile. In order to achieve the purpose, the invention is realized through the following technical scheme that the operation self-checking method for the intelligent sharing charging pile comprises the following steps: Step S1, acquiring the number of charging piles, and acquiring the maximum rated power, the maximum rated current and the maximum rated voltage of the charging piles to obtain charging pile data; Step S2, acquiring historical charging data of a charging pile, performing primary mathematical modeling on the historical charging data, analyzing the change of the charging time of the charging pile when the battery overheat protection occurs and the battery overheat protection does not occur in the charging process of the electric vehicle, and constructing a prediction equation A; step S3, acquiring a charging request of the electric car, detecting whether the electric car has overheat protection of a battery in the charging process, and predicting the maximum output voltage and the maximum output current of the charging pile in the charging process by combining the prediction equation A and the prediction equation B; and S4, continuously monitoring the charging process of the charging pile, summarizing the failed charging pile, and feeding back. Further, the specific steps of the step S2 are as follows: Step S21, acquiring the number ch of charging piles, and acquiring the charging times ne (1)～ne(ch) of all the charging piles; Step S22, counting the times ro (1) of the battery overheat protection of the 1 st charging pile, the times ur (1) of the battery overheat protection not occurring, and the critical electric quantity le (1) of the battery overheat protection occurring; step S221, taking ne (1) as nel, and obtaining the charging time te (1)～te(nel) of the 1 st charging pile for the 1 st to nel th charging operations; Step S222, judging whether overheat protection of the battery occurs when the 1 st charging pile performs the 1 st charging operation; Taking te (1) as tel, and acquiring charging power pi (1)～pi(tel) of the electric car from the 1 st charging operation to the tel seconds; Step S223, judging whether overheat protection occurs to the battery according to pi (1)～pi(tel); if so, ro (1) is incremented by 1, the value of le (1,1) is calculated: If not, ur (1) plus 1, le (1,1) has a value of 0; Step S224, judging whether the battery overheat protection occurs in the 2 nd to nel th charging operations, and calculating the critical electric quantity le (1,2)～le(1,nel) of the 2 nd to nel th charging operations; Calculate the sum ale of le (1,1)～le(1,nel), calculate the critical power le (1) of the 1 st charging pile. Further, the step S2 further includes: step S23, counting the times ro (2)～ro(ch) of the battery overheat protection of the 2 nd to the ch charging piles, the times ur (2)～ur(ch) of the battery overheat protection of the charging piles, the critical electric quantity le (2)～le(ch) of the battery overheat protection, and calculating the probability P (ro) of the battery overheat protection of th