CN114418384A - Charging pile standby power consumption and maintenance cost optimization method - Google Patents
Charging pile standby power consumption and maintenance cost optimization method Download PDFInfo
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Abstract
The invention relates to the technical field of electric vehicle charging piles, in particular to a charging pile standby power consumption and maintenance cost optimization method, which comprises the steps of analyzing the operating characteristics of all functional parts, and calculating theoretical standby power consumption values generated by all functional modules in a classified manner by combining the functional characteristics in the charging piles; testing and collecting standby power consumption data of each part in a standby state of the charging pile, completing the test research of the standby power consumption of the charging pile, and obtaining the actual standby power consumption of the charging pile; analyzing the reason of higher standby power consumption of the charging pile, and screening out main electric parts with idle functions in standby; the boundary value of the standby power consumption abnormal state is determined, the current of the alternating current input side in the charging pile is sampled, the necessary functions can be reliably realized in the using process of a product, the service life of the charging pile is prolonged, the optimal matching of technology and economy is achieved, the social benefit and the economic benefit are both considered, the design cost is saved, the efficiency is improved, the effectiveness is improved, and the practical problem is solved.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging piles, in particular to a method for optimizing standby power consumption and maintenance cost of a charging pile.
Background
New energy vehicles have been rapidly developed and spotlighted as a strategic emerging industry in recent years. Fill electric pile is the supporting infrastructure of new energy automobile, and when new energy automobile keeps quantity and constantly promotes, fill electric pile quantity and also constantly increase. At present electric automobile still is in the popularization stage, the electric pile rate of utilization is lower for partial area especially remote area's the electric pile, these fill electric pile and be in idle state for a long time, and the electric pile that fills that comes into operation at present general consumption is on the high side under the standby state, causes great electric quantity loss, unnecessary standby power consumption still can shorten the life-span of filling electric pile part electrical component simultaneously, when filling the quick overall arrangement of electric pile and building, it takes place when electric pile trouble and abnormal conditions to fill, the cost of overhaul has increased the operation cost burden of enterprise. Therefore, the charging pile standby power consumption optimization and the maintenance cost optimization have important significance, and in order to solve the problems, the charging pile standby power consumption and maintenance cost optimization method is provided.
Disclosure of Invention
Technical problem to be solved
The problem of electric automobile still is in the popularization stage at present, the electric pile rate of utilization is lower for partial area especially the charging of remote area, these fill electric pile and be in idle state for a long time, and the electric pile that fills that to put into use at present general consumption is on the high side under standby state, cause great power loss, unnecessary standby power consumption still can shorten the life-span of filling electric pile part electrical components simultaneously, when filling the quick overall arrangement of electric pile and building, it takes place to fill electric pile trouble and abnormal conditions, the maintenance cost has increased the operation cost burden of enterprise's problem, a fill electric pile standby power consumption and maintenance cost optimization method is provided.
(II) technical scheme
A method for optimizing standby power consumption and maintenance cost of a charging pile comprises the following steps:
the method comprises the following steps: analyzing the operating characteristics of each functional component, and calculating theoretical standby power consumption values generated by each functional module in a classified manner by combining the functional characteristics inside the charging pile; testing and collecting standby power consumption data of each part in a standby state of the charging pile, completing the test research of the standby power consumption of the charging pile, and obtaining the actual standby power consumption of the charging pile; analyzing the reason of higher standby power consumption of the charging pile, and screening out main electric parts with idle functions in standby;
step two: determining a boundary value of an abnormal standby power consumption state, sampling current at an alternating current input side in a charging pile, calculating real-time standby power consumption data, comparing the real-time standby power consumption data with the boundary value, sending early warning information when the standby power consumption is abnormal, and obtaining an evaluation standard of the abnormal standby power consumption state by analyzing the charging historical data of the existing charging pile and the coupling relation between the standby historical data and the power consumption;
step three: establishing a part risk early warning mechanism, extracting measurement indexes of the comprehensive health index of the charging pile and the supplier evaluation index in the aspect of operation, maintenance and repair, and forming a demand scheme of a repair and management platform and a demand scheme of a mobile phone App; data collection is carried out on charging piles in various places according to asset information and fault overhaul records, the types of spare part parts are optimized by calculating and formulating reference coefficients of spare part library inventory, dynamic data of the spare part libraries in various places and cities are uniformly incorporated into a province company database to form a uniform database, and spare part data sharing is carried out; in addition, the spare parts are numbered uniformly to form two-dimensional code electronic marks.
As a preferred technical scheme, the specific operation process in the first step and the second step is as follows: calculating the average standby power consumption of the different types of optimized charging piles, obtaining the optimized average standby power consumption of the charging piles from the average standby power consumption, determining a danger boundary value of the abnormal state of the standby power consumption of the charging piles according to a suboptimal average value, configuring a current sampling device, sampling the current on the alternating current input side of the charging piles, calculating real-time standby power consumption data, comparing the real-time standby power consumption data with the danger boundary value based on the optimized average standby power consumption, collecting and sorting historical data and standby historical data of the charging piles, summarizing an evaluation standard of the abnormal state of the standby power consumption of the charging piles based on the optimized average standby power consumption by analyzing the coupling relation between the charging historical data and the standby historical data and the power consumption of the existing charging piles, and determining a time period in which the abnormal state is possible by an online detection means in advance before the abnormal standby power consumption of the charging piles occurs so as to dispatch maintenance personnel to maintain on site in advance, the effectual prevention fills the severe loss of electric pile, obviously reduces the consumption level who fills electric pile.
As a preferred technical scheme, the specific operation process of the step three is as follows: investigating and researching the operation and maintenance condition of the charging facility, analyzing and obtaining the overall fault area condition of the charging facility, analyzing and summarizing the fault high-occurrence area and the fault low-occurrence area of the charging facility parts, analyzing and carding the operation and maintenance flow, statistically analyzing and obtaining the fault frequency of the specific parts in the charging facility and the direct reason and the root reason of the fault problem, establishing a fault logical connection management system among the specific parts of the charging facility, according to the fault logic connection management system among the specific parts of the electric facility, the demand scheme of the maintenance management software of the specific parts of the charging facility is researched, integrally analyzing and counting the failure frequency, failure reasons and manufacturer source information of all parts in the charging pile, constructing a part quality factor system, giving a failure risk rating to different parts and the same parts produced by different manufacturers, and setting a special risk early warning value and a risk early warning threshold value according to the quality factor; when the risk early warning value of a certain part exceeds the risk early warning threshold value, an alarm is sent to the system, so that personnel can be arranged to replace the certain part in advance, and further damage to other parts caused by damage to the part is avoided;
according to the preferred technical scheme, according to the Internet of vehicles platform and the operation and maintenance report records, data collection is carried out on the charging piles in various cities according to asset information and fault maintenance records, and statistics is carried out from the following aspects according to the collected data: the method comprises the following steps of (1) carrying out monthly or annual fault rate of the whole pile, fault rate and fault frequency of parts, fault statistics of a manufacturer of the charging pile in the province (or national grid), fault statistics of the manufacturer of the parts in the province (or national grid) and a part maintenance alarm threshold value; establishing a risk early warning mechanism according to an early warning mechanism theory to form a maintenance management system of the charging pile parts; refining the comprehensive health index of the charging pile and the measurement index of the supplier evaluation index in the aspect of operation, maintenance and overhaul by using a data analysis method;
as a preferred technical scheme, the fault data condition of each part, the number of corresponding parts in service at present and the corresponding working condition (service duration, part risk early warning value) are analyzed, the spare part demand index of the corresponding parts is obtained through statistical integration, the reference coefficient of the stock quantity of the spare part library is calculated and formulated according to the spare part demand index, the stock proportion and the stock total quantity of the parts are distributed according to the reference coefficient, the storage time of the spare parts is reduced, the replacement efficiency of the spare parts is improved, the overall quality condition of the spare parts is further improved, the types of the spare parts are optimized, the parts with high spare part demand indexes are purchased, the condition that the parts of a charging pile cannot be replaced timely after being damaged due to insufficient spare parts is avoided, meanwhile, the dynamic data of the spare part libraries in all cities are uniformly incorporated into a provincial company database to form a uniform database, and spare part data sharing is performed, the reserve payment of spare parts in various places is macroscopically regulated and controlled, and the problem of distribution difference of part damage conditions caused by different geographic environments and climatic factors is solved; in addition, the parts and spare parts of the charging pile are numbered uniformly, the two-dimensional code electronization mark of the system is formed, so that the access of each part and spare part can be checked, and the flow direction of each spare part can be managed conveniently.
(III) advantageous effects
The invention has the beneficial effects that:
(1) by optimizing the standby power consumption of the charging pile, the standby power consumption of the whole charging pile can be practically reduced, the service life of a charging pile product is effectively prolonged, and unnecessary electric quantity loss and enterprise operation cost burden are further reduced;
(2) by investigating the operation and maintenance condition of the charging facility, the statistical analysis of core parts is realized, the functional requirements of comprehensive evaluation, data sharing and the like are met, and the risk early warning and advanced maintenance of the core parts are realized, so that the maintenance efficiency of the charging pile is improved, the outage time of the charging pile due to failure is shortened, the problem of difficulty in piling for users is reduced, and the maintenance cost of an operation enterprise can be reduced;
(3) the charging pile has the advantages that necessary functions can be reliably realized in the using process of the product, the service life of the charging pile is prolonged, the optimal matching of technology and economy is achieved, social benefits and economic benefits are both considered, the design cost is saved, the efficiency is improved, the effectiveness is improved, and the practical problem is solved.
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Detailed Description
For further explanation, the method for optimizing the standby power consumption and the maintenance cost of the charging pile is further detailed by combining the following embodiments:
a method for optimizing standby power consumption and maintenance cost of a charging pile comprises the following steps:
the method comprises the following steps: analyzing the operating characteristics of each functional component, and calculating theoretical standby power consumption values generated by each functional module in a classified manner by combining the functional characteristics inside the charging pile; testing and collecting standby power consumption data of each part in a standby state of the charging pile, completing the test research of the standby power consumption of the charging pile, and obtaining the actual standby power consumption of the charging pile; analyzing the reason of higher standby power consumption of the charging pile, and screening out main electric parts with idle functions in standby;
step two: determining a boundary value of an abnormal standby power consumption state, sampling current at an alternating current input side in a charging pile, calculating real-time standby power consumption data, comparing the real-time standby power consumption data with the boundary value, sending early warning information when the standby power consumption is abnormal, and obtaining an evaluation standard of the abnormal standby power consumption state by analyzing the charging historical data of the existing charging pile and the coupling relation between the standby historical data and the power consumption;
step three: establishing a part risk early warning mechanism, extracting measurement indexes of the comprehensive health index of the charging pile and the supplier evaluation index in the aspect of operation, maintenance and repair, and forming a demand scheme of a repair and management platform and a demand scheme of a mobile phone App; data collection is carried out on charging piles in various places according to asset information and fault overhaul records, the types of spare part parts are optimized by calculating and formulating reference coefficients of spare part library inventory, dynamic data of the spare part libraries in various places and cities are uniformly incorporated into a province company database to form a uniform database, and spare part data sharing is carried out; in addition, the spare parts are numbered uniformly to form two-dimensional code electronic marks.
Furthermore, the module of the charging pile can be divided into a functional module which needs to work, an auxiliary module which can work as required and an idle module which can not work according to the working state when in standby, the idle module mainly refers to a switching power supply and a direct current charging module, the switching power supply provides a low-voltage auxiliary power supply for the electric vehicle which needs to be charged through a charging gun, the low-voltage power supply output needs to be kept in the charging process, the direct current charging module is a core power module of the charging pile and provides a high-voltage direct current power supply for the electric vehicle to charge a power battery on the vehicle, the two modules do not need to generate current output when in standby of the charging pile, and a corresponding alternating current/direct current contactor disconnects the output end of the module from the charging gun, so the switching power supply and the direct current charging module do not need to work when in standby, and the requirement of low power consumption is not considered when the scheme of the charging pile is designed, when a large number of direct current charging modules exist in the idle modules, particularly in high-power charging piles, the power consumption of the modules is optimized to be a main breakthrough point for optimizing the low power consumption of the charging piles, the power consumption of the charging piles is not constant and fluctuates in different degrees along with voltage environment, temperature environment and humidity environment, the charging piles are optimized, the average standby power consumption of different optimized types of charging piles is calculated, the optimized average standby power consumption of the charging piles is obtained, the danger boundary value of the abnormal standby power consumption state of the charging piles is determined according to the suboptimal average value, a current sampling device is configured, the current on the alternating current input side of the charging piles is sampled, the real-time standby power consumption data is calculated and compared with the danger boundary value based on the optimized average standby power consumption value, the historical data and the standby historical data of the charging piles are collected and sorted, and the charging historical data and the coupling relation between the standby historical data and the power consumption of the existing charging piles are analyzed, the evaluation standard of the abnormal state of the standby power consumption of the charging pile based on the standby power consumption optimized mean value is summarized, and before the standby power consumption of the charging pile is abnormal, the abnormal time period is determined in advance through an online detection means, so that maintenance personnel can be dispatched in advance to carry out field maintenance, the severe loss of the charging pile is effectively prevented, and the power consumption level of the charging pile is obviously reduced.
Further, the specific operation process of the step three is as follows: investigating and researching the operation and maintenance condition of the charging facility, analyzing and obtaining the overall fault area condition of the charging facility, analyzing and summarizing the fault high-occurrence area and the fault low-occurrence area of the charging facility parts, analyzing and carding the operation and maintenance flow, statistically analyzing and obtaining the fault frequency of the specific parts in the charging facility and the direct reason and the root reason of the fault problem, establishing a fault logical connection management system among the specific parts of the charging facility, according to the fault logic connection management system among the specific parts of the electric facility, the demand scheme of the maintenance management software of the specific parts of the charging facility is researched, integrally analyzing and counting the failure frequency, failure reasons and manufacturer source information of all parts in the charging pile, constructing a part quality factor system, giving a failure risk rating to different parts and the same parts produced by different manufacturers, and setting a special risk early warning value and a risk early warning threshold value according to the quality factor; when the risk early warning value of a certain part exceeds the risk early warning threshold value, an alarm is sent to the system, so that personnel can be arranged to replace the certain part in advance, and further damage to other parts caused by damage to the part is avoided;
furthermore, according to the Internet of vehicles platform and the operation and maintenance report record, the charging piles in each city are subjected to data collection according to the asset information and the fault maintenance record, and statistics is carried out from the following aspects according to the collected data: the method comprises the following steps of (1) carrying out monthly or annual fault rate of the whole pile, fault rate and fault frequency of parts, fault statistics of a manufacturer of the charging pile in the province (or national grid), fault statistics of the manufacturer of the parts in the province (or national grid) and a part maintenance alarm threshold value; establishing a risk early warning mechanism according to an early warning mechanism theory to form a maintenance management system of the charging pile parts; refining the comprehensive health index of the charging pile and the measurement index of the supplier evaluation index in the aspect of operation, maintenance and overhaul by using a data analysis method;
further, the fault data condition of each part, the number of corresponding parts in service and the corresponding working condition (service duration and part risk early warning value) are analyzed, the spare part requirement index of the corresponding parts is obtained through statistical integration, the reference coefficient of the stock quantity of the spare part library is calculated and formulated according to the spare part requirement index, the stock proportion and the total stock quantity of the parts are distributed according to the spare part requirement index, the storage time of the spare parts is reduced, the replacement efficiency of the spare parts is improved, the overall quality condition of the spare parts is further improved, the types of spare parts are optimized, the parts with high spare part requirement indexes are purchased in an increased mode, the situation that charging pile parts cannot be replaced timely after being damaged due to insufficient spare parts is avoided, the dynamic data of the spare part libraries in all places are unified to a provincial company database, a unified database is formed, and spare part data sharing is carried out, the reserve payment of spare parts in various places is macroscopically regulated and controlled, and the problem of distribution difference of part damage conditions caused by different geographic environments and climatic factors is solved; in addition, the parts and spare parts of the charging pile are numbered uniformly, the two-dimensional code electronization mark of the system is formed, so that the access of each part and spare part can be checked, and the flow direction of each spare part can be managed conveniently.
The above embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the spirit and scope of the present invention, and various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the design concept of the present invention shall fall within the protection scope of the present invention, and the technical contents of the present invention as claimed are all described in the claims.
Claims (3)
1. A method for optimizing standby power consumption and maintenance cost of a charging pile is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: analyzing the operating characteristics of each functional component, and calculating theoretical standby power consumption values generated by each functional module in a classified manner by combining the functional characteristics inside the charging pile; testing and collecting standby power consumption data of each part in a standby state of the charging pile, completing the test research of the standby power consumption of the charging pile, and obtaining the actual standby power consumption of the charging pile; analyzing the reason of higher standby power consumption of the charging pile, and screening out main electric parts with idle functions in standby;
step two: determining a boundary value of an abnormal standby power consumption state, sampling current at an alternating current input side in a charging pile, calculating real-time standby power consumption data, comparing the real-time standby power consumption data with the boundary value, sending early warning information when the standby power consumption is abnormal, and obtaining an evaluation standard of the abnormal standby power consumption state by analyzing the charging historical data of the existing charging pile and the coupling relation between the standby historical data and the power consumption;
step three: establishing a part risk early warning mechanism, extracting measurement indexes of the comprehensive health index of the charging pile and the supplier evaluation index in the aspect of operation, maintenance and repair, and forming a demand scheme of a repair and management platform and a demand scheme of a mobile phone App; data collection is carried out on charging piles in various places according to asset information and fault overhaul records, the types of spare part parts are optimized by calculating and formulating reference coefficients of spare part library inventory, dynamic data of the spare part libraries in various places and cities are uniformly incorporated into a province company database to form a uniform database, and spare part data sharing is carried out; in addition, the spare parts are numbered uniformly to form two-dimensional code electronic marks.
2. The method for optimizing the standby power consumption and the overhaul cost of the charging pile according to claim 1, wherein the method comprises the following steps:
the specific operation process in the first step and the second step is as follows: calculating the optimized average standby power consumption of different types of charging piles to obtain the optimized average standby power consumption of the charging piles, and determining a dangerous boundary value of the standby power consumption abnormal state of the charging pile according to the suboptimal mean value, configuring a current sampling device, sampling current at the alternating current input side of the charging pile, calculating real-time standby power consumption data, comparing the real-time standby power consumption data with a danger boundary value based on a standby power consumption optimized mean value, collecting and sorting historical data and standby historical data of the charging pile, the evaluation standard of the abnormal state of the standby power consumption of the charging pile based on the standby power consumption optimized mean value is summarized by analyzing the coupling relation between the charging historical data and the standby historical data of the existing charging piles and the power consumption, and before the standby power consumption of the charging pile is abnormal, the abnormal time period is determined in advance through an online detection means so as to be convenient for sending maintenance personnel to carry out field maintenance in advance.
3. The method for optimizing the standby power consumption and the overhaul cost of the charging pile according to claim 1, wherein the method comprises the following steps:
the specific operation process of the third step is as follows: investigating and researching the operation and maintenance condition of the charging facility, analyzing and obtaining the overall fault area condition of the charging facility, analyzing and summarizing the fault high-occurrence area and the fault low-occurrence area of the charging facility parts, analyzing and carding the operation and maintenance flow, statistically analyzing and obtaining the fault frequency of the specific parts in the charging facility and the direct reason and the root reason of the fault problem, establishing a fault logical connection management system among the specific parts of the charging facility, according to the fault logic connection management system among the specific parts of the electric facility, the demand scheme of the maintenance management software of the specific parts of the charging facility is researched, integrally analyzing and counting the failure frequency, failure reasons and manufacturer source information of all parts in the charging pile, constructing a part quality factor system, giving a failure risk rating to different parts and the same parts produced by different manufacturers, and setting a special risk early warning value and a risk early warning threshold value according to the quality factor;
according to the Internet of vehicles platform and the operation and maintenance report records, the charging piles in various cities are subjected to data collection according to asset information and fault maintenance records, and statistics is carried out from the following aspects according to the collected data: the method comprises the following steps of (1) carrying out monthly or annual fault rate of the whole pile, fault rate and fault frequency of parts, fault statistics of a manufacturer of the charging pile in the province (or national grid), fault statistics of the manufacturer of the parts in the province (or national grid) and a part maintenance alarm threshold value; establishing a risk early warning mechanism according to an early warning mechanism theory to form a maintenance management system of the charging pile parts; refining the comprehensive health index of the charging pile and the measurement index of the supplier evaluation index in the aspect of operation, maintenance and overhaul by using a data analysis method;
analyzing the fault data condition of each part, the number of corresponding parts in service and the corresponding working condition (service duration and part risk early warning value), counting and integrating to obtain a spare part demand index of the corresponding part, calculating and formulating a reference coefficient of spare part library stock according to the spare part demand index, distributing the inventory proportion and the inventory total amount of the part, reducing the storage time of the spare part, improving the replacement efficiency of the spare part, further improving the overall quality condition of the spare part, simultaneously optimizing the types of spare parts, increasing the purchase of parts with high spare part demand indexes, simultaneously uniformly incorporating the dynamic data of the spare part libraries in various markets into a provincial company database to form a uniform database, sharing the spare part data, macroscopically regulating and controlling the spare part reserve request in various places, further, uniformly numbering the spare parts of the parts, and forming a two-dimensional code electronic mark of the charging pile, the spare parts of each part can be checked in and out, and the flow direction of each spare part can be managed conveniently.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115792364A (en) * | 2023-02-07 | 2023-03-14 | 南京美斯玛微电子技术有限公司 | Power consumption calculation method based on standby state analysis |
| CN117092578A (en) * | 2023-10-18 | 2023-11-21 | 青岛悠进电装有限公司 | Wire harness conduction intelligent detection system based on data acquisition and processing |
| CN118070203A (en) * | 2024-04-22 | 2024-05-24 | 安徽继远软件有限公司 | Equipment portrait construction method and system based on big data |
| CN118070203B (en) * | 2024-04-22 | 2024-07-05 | 安徽继远软件有限公司 | Equipment portrait construction method and system based on big data |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115792364A (en) * | 2023-02-07 | 2023-03-14 | 南京美斯玛微电子技术有限公司 | Power consumption calculation method based on standby state analysis |
| CN117092578A (en) * | 2023-10-18 | 2023-11-21 | 青岛悠进电装有限公司 | Wire harness conduction intelligent detection system based on data acquisition and processing |
| CN117092578B (en) * | 2023-10-18 | 2024-01-16 | 青岛悠进电装有限公司 | Wire harness conduction intelligent detection system based on data acquisition and processing |
| CN118070203A (en) * | 2024-04-22 | 2024-05-24 | 安徽继远软件有限公司 | Equipment portrait construction method and system based on big data |
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