CN111422095B - Power distribution method and device of charging pile, charging pile and storage medium - Google Patents

Power distribution method and device of charging pile, charging pile and storage medium Download PDF

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Publication number
CN111422095B
CN111422095B CN202010316456.4A CN202010316456A CN111422095B CN 111422095 B CN111422095 B CN 111422095B CN 202010316456 A CN202010316456 A CN 202010316456A CN 111422095 B CN111422095 B CN 111422095B
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charging
alternative
power distribution
modules
accumulated
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CN111422095A (en
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冯同磊
刘国鹏
窦胜
陈甫前
余静
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Nanjing Nengrui Electric Power Technology Co ltd
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Nanjing Nengrui Electric Power Technology Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/62Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations

Abstract

The application relates to a power distribution method and device of a charging pile, the charging pile and a storage medium. The method comprises the following steps: when a charging starting instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged; for each alternative power distribution scheme, calculating a variance corresponding to the alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme; and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged. The method can reduce the current imbalance among the target charging modules and prolong the service life of the charging modules.

Description

Power distribution method and device of charging pile, charging pile and storage medium
Technical Field
The application relates to the field of charging piles, in particular to a power distribution method and device of a charging pile, the charging pile and a storage medium.
Background
With the rapid development of electric vehicles, various charging pile products have been developed to solve the mileage continuation problem of electric vehicles. In order to meet high-power output, a plurality of charging modules are usually arranged in the charging pile so as to control different charging modules to charge outwards according to charging requirements, and therefore power distribution of the charging pile is achieved.
In the prior art, the power distribution can be performed in a random starting mode according to the charging requirement, namely, when the charging pile is used for externally charging each time, the charging module in the charging pile is randomly started to externally output power. However, the conventional power distribution method may cause an increase in current imbalance among the activated charging modules, thereby reducing the service life of the charging modules.
Disclosure of Invention
Based on this, it is necessary to provide a power distribution method and device for a charging pile, a charging pile and a storage medium for solving the technical problem that the conventional power distribution method may cause an increase in current imbalance among the started charging modules, thereby reducing the service life of the charging modules.
In a first aspect, an embodiment of the present application provides a power distribution method of a charging pile, where the charging pile includes a plurality of charging modules in an idle state, and the method includes:
When a charging start instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to a charging demand parameter of an object to be charged, wherein each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules;
calculating a variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged.
In a second aspect, an embodiment of the present application provides a power distribution apparatus of a charging pile, where the charging pile includes a plurality of charging modules in an idle state, and the apparatus includes:
the determining module is used for determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged when receiving the charging starting instruction, wherein each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules;
The computing module is used for computing the variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
the first processing module is used for selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged.
In a third aspect, an embodiment of the present application provides a charging pile, including a memory and a processor, where the memory stores a computer program, and the processor implements the power distribution method of the charging pile provided in the first aspect of the embodiment of the present application when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the power distribution method of the charging pile provided in the first aspect of the embodiment of the present application.
According to the power distribution method and device of the charging pile, the charging pile and the storage medium, when a charging start instruction is received, each alternative power distribution scheme corresponding to a charging task is determined according to the charging demand parameters of an object to be charged; for each alternative power distribution scheme, calculating a variance corresponding to the alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme; and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged. In the power distribution process of the charging pile, the charging pile can respectively calculate the variance of each alternative power distribution scheme corresponding to the current charging task, the alternative power distribution scheme with the variance meeting the preset condition is used as the target power distribution scheme of the current charging task, the variance corresponding to each alternative power distribution scheme can be calculated based on the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules, and the variance can represent the deviation degree between the accumulated working parameters of each charging module. In other words, in the process of selecting the target power distribution scheme, the accumulated working parameters of all the charging modules in the idle state in the charging pile are comprehensively considered, and the difference of the accumulated working parameters of all the charging modules is considered, so that the accumulated working parameter difference among all the target charging modules started according to the target power distribution scheme is smaller, the current imbalance among the target charging modules is reduced, and the service life of the charging modules is prolonged.
Drawings
Fig. 1 is a schematic flow chart of a power distribution method of a charging pile according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another power distribution method of a charging pile according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a power distribution device of a charging pile according to the present embodiment;
fig. 4 is a schematic structural diagram of a charging pile according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be further described in detail by the following embodiments with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It should be noted that, the execution body of the method embodiment described below may be a power distribution device of the charging pile, and the device may be implemented as part or all of the charging pile by software, hardware, or a combination of software and hardware. Alternatively, the charging pile may be a direct current charging pile, which is capable of charging various electric vehicles. The following method embodiments are described by taking the implementation main body as a charging pile as an example.
Fig. 1 is a schematic flow chart of a power distribution method of a charging pile according to an embodiment of the present application. The embodiment relates to a specific process how a charging pile selects a target charging module to realize external charging. As shown in fig. 1, the method may include:
s101, when a charging start instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to a charging demand parameter of an object to be charged, wherein each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules.
In particular, the charging stake may include a plurality of charging modules in an idle state. When the object to be charged is connected to the charging pile, the charging pile receives a charging starting instruction, and the charging pile needs to select a target charging module from all the charging modules in an idle state so as to provide charging for the object to be charged. The object to be charged may be an electric automobile. The above-described charging demand parameters may include a charging demand voltage and a charging demand current of the object to be charged. Optionally, before S101, the charging pile further needs to obtain a charging requirement parameter of the object to be charged, and in practical application, the object to be charged may send a charging requirement message to the charging pile, and the charging pile obtains the charging requirement parameter of the object to be charged according to the charging requirement message. For example, assume that the charging demand message received by the charging pile is: 0x181056F4 DE 0D 27 01 02 FF FF FF, the charging pile analyzes the charging message, and the charging requirement voltage of the object to be charged is 355V, the charging requirement current is 105A, namely the charging requirement power of the object to be charged is 37.3kW.
After obtaining the charging demand power of the object to be charged, the charging pile can determine each alternative power distribution scheme corresponding to the charging task according to the charging demand power. Each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules, the alternative charging modules and the non-alternative charging modules are in idle states, and the power provided by the alternative charging modules can meet the charging requirement power of an object to be charged. Meanwhile, for each alternative power distribution scheme, the alternative charging modules are selected charging modules for charging the object to be charged in the alternative power distribution scheme, and the non-alternative charging modules are selected charging modules for not charging the object to be charged.
For example, assuming that the charging pile includes charging modules M1, M2, M3 and M4 in an idle state, and the charging pile foundation is based on the charging required power of the object to be charged, determining that the current charging task corresponds to 4 alternative power allocation schemes, where the 1 st alternative power allocation scheme includes alternative charging modules M1, M2 and M3, and the non-alternative charging module is M4; the 2 nd alternative power distribution scheme comprises alternative charging modules M1, M2 and M4, and non-alternative charging module M3; the 3 rd alternative power allocation scheme includes alternative charging modules M2, M3 and M4, and the non-alternative charging module is M1; the 4 th alternative power allocation scheme includes alternative charging modules M1, M3 and M4, and the non-alternative charging module is M2.
Optionally, before determining each alternative power allocation scheme corresponding to the current charging task, the charging pile further needs to determine whether the total power provided by each charging module currently in an idle state can meet the charging demand power, and if it is determined that the total power provided by each charging module currently in an idle state cannot meet the charging demand power, the charging pile outputs alarm information to prompt that the power of the charging pile is insufficient for an object to be charged, so that external power supply cannot be performed.
S102, for each alternative power distribution scheme, calculating the variance corresponding to the alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme.
The accumulated working parameters of the charging module comprise accumulated charging duration and/or accumulated charging times of the charging module. The predicted accumulated working parameter is equal to the sum of the accumulated working parameter of the alternative charging module before the current charging task and the predicted working parameter required by the current charging task, and the accumulated working parameter of the non-alternative charging module refers to the accumulated working parameter of the non-alternative charging module before the current charging task. In practical applications, the process of obtaining the predicted cumulative operating parameter of the alternative charging module may include the following cases:
First case: when the accumulated working parameters of the charging module include the accumulated charging time length of the charging module, the predicted accumulated working parameters are the sum of the accumulated charging time length (i.e. the current accumulated charging time length) of the alternative charging module before the current charging task and the predicted charging time length required by the current charging task.
The estimated charging time period required for the present charging task generally refers to an estimated charging time period required when a percentage Of a remaining amount (SOC) Of an object to be charged is increased from a current value to a preset target value. Alternatively, in consideration of the charging characteristics of the object to be charged, when the SOC of the object to be charged is 80%, the object to be charged may enter the trickle charge mode, and thus, the preset target value may be set to 80%.
Second case: when the accumulated working parameters of the charging module comprise accumulated charging times of the charging module, the predicted accumulated working parameters are the sum of accumulated charging times of the alternative charging module before the current charging task and the predicted charging times required by the current charging task. Alternatively, the number of charges is expected to be typically 1.
Third case: when the accumulated operation parameter of the charging module is the accumulated charging time length and the accumulated charging frequency of the charging module, the process of obtaining the predicted accumulated operation parameter of the alternative charging module may include: determining the expected charging time required for the SOC to rise from the current value to a preset target value according to the charging demand parameter of the object to be charged and the current value of the SOC; and taking the sum of the predicted charging time length and the current accumulated charging time length of the alternative charging module and the sum of the predicted charging times and the current accumulated charging times of the alternative charging module as the predicted accumulated working parameters of the alternative charging module.
Specifically, the charging pile may learn the current SOC of the object to be charged based on the charging parameter message sent by the object to be charged, calculate the target energy required for raising the SOC of the object to be charged from the current value to the preset target value according to the nominal total energy of the object to be charged, and calculate the estimated charging duration based on the target energy and the charging demand parameter (i.e., the charging demand power) of the object to be charged.
For example, assume that the charging parameter message received by the charging pile is:
0x1CEB56F4 01 68 01 C4 09 7A 02 C7
0x1CEB56F4 02 01 6E E8 00 E4 0C FF
by analyzing the charging parameter message, the charging pile can obtain that the current SOC of the object to be charged is 23.2%, in addition, assuming that the nominal total energy of the object to be charged is 63.4kWh and the preset target value is 80%, the target energy required for changing the SOC of the object to be charged from 23.2% to 80% is 36.0112kWh (i.e., 63.4kWh (80% -23.2%) = 36.0112 kWh), and further, the charging pile obtains that the charging duration is 0.97h (i.e., 36.0112kWh/37.3 kw=0.97 h) from the charging demand power (37.3 kW) and the target energy (36.0112 kWh) of the object to be charged.
In practical application, in order to comprehensively consider the influence of the accumulated charging duration and the accumulated charging times on the service life of the charging module, when the charging pile performs variance calculation in the third case, the accumulated operating parameters of the charging module (including the alternative charging module and the non-alternative charging module) may be weighted, and the variance calculation of each alternative power allocation scheme may be performed based on the weighted accumulated operating parameters. For example, the weighting value M of the accumulated operating parameter of the charging module may be calculated by the following equation 1 or a modification of equation 1.
Equation 1: m=w1 x m_t+w2 x m_f,
wherein w1 is a weighting coefficient of the accumulated charging duration m_t of the charging module, and w2 is a weighting coefficient of the accumulated charging frequency m_f of the charging module. Alternatively, w1 may be 0.6 and w2 may be 0.4.
For each alternative power allocation scheme, the charging pile may calculate the variance s corresponding to each alternative power allocation scheme according to the following equation 2 or a variation of equation 2 2
Equation 2:
wherein n is the number of charging modules in an idle state in the charging pile, i is the number of alternative charging modules, j is the number of non-alternative charging modules,for a predicted cumulative operating parameter, M, of i candidate charge modules, a candidate charge module identified as a j For j non-alternative charging modules, the cumulative operating parameter of the non-alternative charging module identified as b,/->The operating parameters are accumulated for the average of the n charging modules.
S103, selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged.
Specifically, after the variances corresponding to the alternative power allocation schemes are obtained, the charging pile may select, according to the preset condition, the alternative power allocation scheme satisfying the preset condition as the target power allocation scheme. Optionally, the preset condition may be that the variance is minimum, that is, the charging pile may select an alternative power allocation scheme with the minimum variance as the target power allocation scheme, and start the corresponding target charging module to charge according to the target power allocation scheme. In addition, when the object to be charged enters the trickle charging stage, the charging requirement of the object to be charged can be met by only 1 charging module due to slower charging, so that the object to be charged can be charged by selecting the target charging module with the smallest accumulated working parameter from all the target charging modules.
Continuing with the 4 alternative power allocation schemes in S101 as an example, assuming the variance of the 1 st alternative power allocation scheme is the smallest, the charging stake may initiate charging out of M1, M2, and M3. Meanwhile, assuming that the cumulative operating parameter of M1 in M1, M2 and M3 is the smallest, when the object to be charged enters the trickle charging phase, the charging peg may close M2 and M3, and charge only the object to be charged by M1.
Optionally, when receiving the instruction of ending charging, the charging pile closes the target charging module, and updates the accumulated working parameter of the target charging module based on the actual charging duration and/or the actual charging times corresponding to the current charging task.
The actual charging time length refers to the time length from the starting time to the closing time of the target charging module, and when the charging pile receives a charging ending instruction, the target charging module needs to be closed on one hand, the actual charging time length needs to be accumulated into the accumulated charging time length of the target charging module on the other hand, and the actual charging times are accumulated into the accumulated charging times of the target charging module. When the charging start instruction is received again, the charging pile continues to execute the step of determining each alternative power allocation scheme corresponding to the current charging task according to the charging demand parameter of the object to be charged in S101.
According to the power distribution method of the charging pile, when a charging start instruction is received, each alternative power distribution scheme corresponding to a charging task is determined according to the charging demand parameters of an object to be charged; for each alternative power distribution scheme, calculating a variance corresponding to the alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme; and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged. In the power distribution process of the charging pile, the charging pile can respectively calculate the variance of each alternative power distribution scheme corresponding to the current charging task, the alternative power distribution scheme with the variance meeting the preset condition is used as the target power distribution scheme of the current charging task, the variance corresponding to each alternative power distribution scheme can be calculated based on the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules, and the variance can represent the deviation degree between the accumulated working parameters of each charging module. In other words, in the process of selecting the target power distribution scheme, the accumulated working parameters of all the charging modules in the idle state in the charging pile are comprehensively considered, and the difference of the accumulated working parameters of all the charging modules is considered, so that the accumulated working parameter difference among all the target charging modules started according to the target power distribution scheme is smaller, the current imbalance among the target charging modules is reduced, and the service life of the charging modules is prolonged.
In one embodiment, S101 may be: determining the target number of charging modules to be configured for completing the charging task according to the charging demand parameters of the object to be charged; and determining each alternative power distribution scheme corresponding to the current charging task according to the target number and the total number of the charging modules currently in the idle state.
Specifically, the charging pile may determine, according to a charging demand parameter of an object to be charged and in combination with a rated power of each charging module of the charging pile, a target number of charging modules to be configured for completing the charging task at this time, and determine, based on an arrangement and combination of the target number and a total number of charging modules currently in an idle state, each alternative power allocation scheme corresponding to the charging task at this time. When the object to be charged is charged to a certain extent (for example, the SOC of the object to be charged is increased to 80%), the object to be charged enters a trickle charge state, and in this state, the charging requirement can be met by only one charging module, so that the charging pile can calculate the target number of charging modules required to be configured when the SOC of the object to be charged is increased to a preset target value (for example, 80%). For example, assuming that the total number of charging modules currently in an idle state is 4 and the target number of charging modules to be configured to complete the current charging task is 3, the charging pile may determine that the current charging task corresponds to Individual alternative power allocation schemesThe 4 alternative power allocation schemes may be examples as described in S101.
In practical application, considering that the charging modules increase the current imbalance between the charging modules when the voltage is full or the current is full, i.e. in order to further reduce the current imbalance between the charging modules, based on the above embodiment, optionally, as shown in fig. 2, the process of determining the target number of charging modules that needs to be configured to complete the charging task by the charging pile may be:
s201, determining the target number of the charging modules required to be configured for completing the charging task as a first value according to the charging demand parameters of the object to be charged and the power parameters of the charging modules.
S202, if the ratio between the power requirement value of the object to be charged and the total power of the first numerical charging modules is greater than a preset threshold, updating the first numerical value to a second numerical value, wherein the difference between the second numerical value and the first numerical value is 1.
Specifically, the charging demand parameter may be a charging demand voltage and a charging demand current of the object to be charged, and the charging demand power of the object to be charged may be obtained based on the charging demand voltage and the charging demand current. The power parameter may be a rated power of the charging module. In order to prevent the full-load output of the charging modules, a preset threshold may be set, after the target number of the charging modules to be configured is obtained as the first value, if the ratio between the power requirement value (i.e. the charging requirement power) of the object to be charged and the total power of the first value charging modules is greater than the preset threshold, the charging pile updates the determined first value to the second value. For example, the preset threshold may be 90%, and if the charging requirement parameter of the object to be charged is: the charging demand voltage is 355V, the charging demand current is 105A, namely, the charging demand power of the object to be charged is 37.3kW, and meanwhile, the rated power of each charging module is assumed to be 20kW, so that the charging demand of the object to be charged can be met by configuring two charging modules. However, the ratio between the charging demand power of the object to be charged and the total power of the two modules is greater than 90%, so the target number of charging modules to be configured at this time is three.
In this embodiment, the charging pile may determine each alternative power allocation scheme corresponding to the current charging task based on the target number of charging modules to be configured and the total number of charging modules currently in an idle state, comprehensively consider all possible alternative power allocation schemes of the charging pile, and prevent missing part of possible alternative power allocation schemes, thereby improving accuracy of a power allocation result of the charging pile. In addition, when the ratio between the power requirement value of the object to be charged and the total power of the first numerical value charging modules is larger than a preset threshold, the charging pile updates the target number of the charging modules to be configured from the first numerical value to the second numerical value, so that full load output of the charging modules is effectively prevented, current imbalance among the charging modules is reduced, and the service life of the charging modules is further prolonged.
In an embodiment, optionally, when the charging pile starts the target charging module to charge outwards, if the charging pile detects that a start fault exists in any target charging module, the charging pile removes any target charging module from the allocable sequence, modifies the working state of any target charging module from an idle state to a fault state, and continues to execute the step of determining each alternative power allocation scheme corresponding to the current charging task according to the charging requirement parameter of the object to be charged in S101, so as to reselect the alternative power allocation scheme with the smallest variance from the updated allocable sequence. In addition, optionally, the charging pile can also send alarm information to the management platform, so that maintenance personnel can replace the failed target charging module in time. Wherein the alarm information includes information of the target charging module marked as a fault state. At this time, the accumulated charging time length and the accumulated charging frequency of the replaced charging module are set to 0 so as to perform the power distribution of the charging pile subsequently.
In this embodiment, when the charging pile detects that any target charging module has a start failure, the charging pile can send alarm information to the management platform, so that maintenance personnel can replace the failed charging module in time. In addition, the charging pile can remove the failed target charging module from the allocable sequence, so that the situation that the charging pile selects the failed charging module again in the next power allocation process is avoided, and the charging pile external charging efficiency can be improved.
Fig. 3 is a schematic structural diagram of a power distribution device of a charging pile according to an embodiment of the present application. The charging pile includes a plurality of charging modules in an idle state, as shown in fig. 3, the apparatus may include: a determination module 10, a calculation module 11 and a first processing module 12.
Specifically, the determining module 10 is configured to determine, when receiving a charging start instruction, each alternative power allocation scheme corresponding to the current charging task according to a charging demand parameter of an object to be charged, where each alternative power allocation scheme includes alternative charging modules in different idle states and non-alternative charging modules;
the calculating module 11 is configured to calculate, for each alternative power allocation scheme, a variance corresponding to the alternative power allocation scheme according to a predicted accumulated operating parameter of an alternative charging module in the alternative power allocation scheme and an accumulated operating parameter of a non-alternative charging module, where the accumulated operating parameter of the charging module includes an accumulated charging duration and/or an accumulated charging frequency of the charging module;
The first processing module 12 is configured to select, according to the variances corresponding to the respective alternative power allocation schemes, the alternative power allocation scheme satisfying the preset condition as a target power allocation scheme, and start a corresponding target charging module according to the target power allocation scheme, so as to charge the object to be charged.
According to the power distribution device of the charging pile, when a charging start instruction is received, each alternative power distribution scheme corresponding to a charging task is determined according to the charging demand parameters of an object to be charged; for each alternative power distribution scheme, calculating a variance corresponding to the alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme; and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged. In the power distribution process of the charging pile, the charging pile can respectively calculate the variance of each alternative power distribution scheme corresponding to the current charging task, the alternative power distribution scheme with the variance meeting the preset condition is used as the target power distribution scheme of the current charging task, the variance corresponding to each alternative power distribution scheme can be calculated based on the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules, and the variance can represent the deviation degree between the accumulated working parameters of each charging module. In other words, in the process of selecting the target power distribution scheme, the accumulated working parameters of all the charging modules in the idle state in the charging pile are comprehensively considered, and the difference of the accumulated working parameters of all the charging modules is considered, so that the accumulated working parameter difference among all the target charging modules started according to the target power distribution scheme is smaller, the current imbalance among the target charging modules is reduced, and the service life of the charging modules is prolonged.
On the basis of the above embodiment, optionally, the determining module 10 includes: a first determination unit and a second determination unit.
Specifically, the first determining unit is configured to determine, according to a charging demand parameter of an object to be charged, a target number of charging modules that need to be configured to complete a charging task at this time;
and the second determining unit is used for determining each alternative power distribution scheme corresponding to the current charging task according to the target number and the total number of the charging modules currently in the idle state.
On the basis of the above embodiment, optionally, the first determining unit is specifically configured to determine, according to a charging requirement parameter of an object to be charged and a power parameter of a charging module, that a target number of charging modules to be configured for completing the present charging task is a first value; and if the ratio between the power requirement value of the object to be charged and the total power of the first numerical value charging modules is larger than a preset threshold value, updating the first numerical value into a second numerical value, wherein the difference value between the second numerical value and the first numerical value is 1.
On the basis of the foregoing embodiment, optionally, when the accumulated operating parameter of the charging module is an accumulated charging duration and an accumulated charging number of times of the charging module, the apparatus further includes: and an acquisition module.
Specifically, the acquisition module is configured to determine, according to a charging demand parameter of the object to be charged and a current value of the SOC, an estimated charging time period required for the SOC to rise from the current value to a preset target value; and taking the sum of the predicted charging time length and the current accumulated charging time length of the alternative charging module and the sum of the predicted charging times and the current accumulated charging times of the alternative charging module as the predicted accumulated working parameters of the alternative charging module.
On the basis of the above embodiment, optionally, the apparatus further includes: and a second processing module.
Specifically, the second processing module is configured to close the target charging module when receiving a charging ending instruction, and update an accumulated working parameter of the target charging module based on an actual charging duration and/or an actual charging frequency corresponding to the current charging task.
On the basis of the above embodiment, optionally, the apparatus further includes: and a third processing module.
Specifically, if the third processing module detects that any target charging module has a start fault, removing the any target charging module from the allocable sequence, and modifying the working state of the any target charging module from an idle state to a fault state; and continuously executing the step of determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged.
On the basis of the above embodiment, optionally, the apparatus further includes: and a transmitting module.
Specifically, the sending module is used for sending alarm information to the management platform, wherein the alarm information comprises information of the target charging module marked as a fault state.
In one embodiment, a charging pile is provided, and an internal structural view of the charging pile may be as shown in fig. 4. The charging stake includes a processor and a memory connected by a system bus. Wherein the processor of the charging stake is configured to provide computing and control capabilities. The memory of the charging pile comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The computer program, when executed by a processor, implements a method of power distribution for a charging pile.
It will be appreciated by those skilled in the art that the structure shown in fig. 4 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the charging post to which the present inventive arrangements are applied, and that a particular charging post may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a charging pile is provided, the charging pile comprising a plurality of charging modules in an idle state, the charging pile comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program implementing the steps of:
when a charging start instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to a charging demand parameter of an object to be charged, wherein each alternative power distribution scheme comprises alternative charging modules and non-alternative charging modules in different idle states;
calculating a variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the target number of charging modules to be configured for completing the charging task according to the charging demand parameters of the object to be charged; and determining each alternative power distribution scheme corresponding to the current charging task according to the target number and the total number of the charging modules currently in the idle state.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the target number of the charging modules to be configured for completing the charging task as a first value according to the charging demand parameters of the object to be charged and the power parameters of the charging modules; and if the ratio between the power requirement value of the object to be charged and the total power of the first numerical value charging modules is larger than a preset threshold value, updating the first numerical value into a second numerical value, wherein the difference value between the second numerical value and the first numerical value is 1.
In one embodiment, when the accumulated operating parameter of the charging module is the accumulated charging duration and the accumulated charging times of the charging module, the processor when executing the computer program further implements the steps of: determining the expected charging time required for the SOC to rise from the current value to a preset target value according to the charging demand parameter of the object to be charged and the current value of the SOC; and taking the sum of the predicted charging time length and the current accumulated charging time length of the alternative charging module and the sum of the predicted charging times and the current accumulated charging times of the alternative charging module as the predicted accumulated working parameters of the alternative charging module.
In one embodiment, the processor when executing the computer program further performs the steps of: and when receiving a charging ending instruction, closing the target charging module, and updating the accumulated working parameters of the target charging module based on the actual charging duration and/or the actual charging times corresponding to the current charging task.
In one embodiment, the processor when executing the computer program further performs the steps of: if any target charging module is detected to have a starting fault, removing the any target charging module from the assignable sequence, and modifying the working state of the any target charging module from an idle state to a fault state; and continuously executing the step of determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged.
In one embodiment, the processor when executing the computer program further performs the steps of: and sending alarm information to the management platform, wherein the alarm information comprises information of a target charging module marked as a fault state.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
When a charging start instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to a charging demand parameter of an object to be charged, wherein each alternative power distribution scheme comprises alternative charging modules and non-alternative charging modules in different idle states;
calculating a variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
and selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the target number of charging modules to be configured for completing the charging task according to the charging demand parameters of the object to be charged; and determining each alternative power distribution scheme corresponding to the current charging task according to the target number and the total number of the charging modules currently in the idle state.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the target number of the charging modules to be configured for completing the charging task as a first value according to the charging demand parameters of the object to be charged and the power parameters of the charging modules; and if the ratio between the power requirement value of the object to be charged and the total power of the first numerical value charging modules is larger than a preset threshold value, updating the first numerical value into a second numerical value, wherein the difference value between the second numerical value and the first numerical value is 1.
In one embodiment, when the accumulated operating parameter of the charging module is the accumulated charging duration and the accumulated number of times of charging of the charging module, the computer program when executed by the processor further performs the steps of: determining the expected charging time required for the SOC to rise from the current value to a preset target value according to the charging demand parameter of the object to be charged and the current value of the SOC; and taking the sum of the predicted charging time length and the current accumulated charging time length of the alternative charging module and the sum of the predicted charging times and the current accumulated charging times of the alternative charging module as the predicted accumulated working parameters of the alternative charging module.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when receiving a charging ending instruction, closing the target charging module, and updating the accumulated working parameters of the target charging module based on the actual charging duration and/or the actual charging times corresponding to the current charging task.
In one embodiment, the computer program when executed by the processor further performs the steps of: if any target charging module is detected to have a starting fault, removing the any target charging module from the assignable sequence, and modifying the working state of the any target charging module from an idle state to a fault state; and continuously executing the step of determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged.
In one embodiment, the computer program when executed by the processor further performs the steps of: and sending alarm information to the management platform, wherein the alarm information comprises information of a target charging module marked as a fault state.
The power distribution device of the charging pile, the charging pile and the storage medium provided in the above embodiments can execute the power distribution method of the charging pile provided in any embodiment of the present application, and have the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in the above embodiments may be referred to the power distribution method of the charging pile provided in any embodiment of the present application.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (10)

1. A power distribution method of a charging pile, wherein the charging pile includes a plurality of charging modules in an idle state, the method comprising:
when a charging start instruction is received, determining each alternative power distribution scheme corresponding to the charging task according to a charging demand parameter of an object to be charged, wherein each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules;
Calculating a variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
according to the corresponding variance of each alternative power distribution scheme, selecting the alternative power distribution scheme meeting the preset condition as a target power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged;
the calculating the variance corresponding to the alternative power allocation scheme comprises the following steps of;
according to the accumulated working parameters of the charging module, calculating a weighted value M of the accumulated working parameters of the charging module through a formula 1; the formula 1 is;
M=w1*M_T+w2*M_F
wherein w1 is a weighting coefficient of the accumulated charging time length of the charging module, m_t is an accumulated charging time length of the charging module, w2 is a weighting coefficient of the accumulated charging times of the charging module, m_f is an accumulated charging times of the charging module, and M is a weighting value of an accumulated working parameter of the charging module;
According to each alternative power distribution scheme, calculating the variance s corresponding to each alternative power distribution scheme through a formula 2 2 The method comprises the steps of carrying out a first treatment on the surface of the The formula 2 is;
wherein n is the number of charging modules in an idle state in the charging pile, i is the number of alternative charging modules, j is the number of non-alternative charging modules,for a predicted cumulative operating parameter, M, of i candidate charge modules, a candidate charge module identified as a b For j non-alternative charging modules, the cumulative operating parameter of the non-alternative charging module identified as b,/->For the average cumulative operating parameter of n charging modules s 2 The corresponding variance for the alternative power allocation scheme.
2. The method of claim 1, wherein determining each alternative power allocation scheme corresponding to the current charging task according to the charging demand parameter of the object to be charged comprises:
determining the target number of charging modules to be configured for completing the charging task according to the charging demand parameters of the object to be charged;
and determining each alternative power distribution scheme corresponding to the current charging task according to the target number and the total number of the charging modules currently in the idle state.
3. The method according to claim 2, wherein determining the target number of charging modules to be configured to complete the present charging task according to the charging demand parameter of the object to be charged includes:
Determining the target number of the charging modules to be configured for completing the charging task as a first value according to the charging demand parameters of the object to be charged and the power parameters of the charging modules;
and if the ratio between the power requirement value of the object to be charged and the total power of the first numerical value charging modules is larger than a preset threshold value, updating the first numerical value into a second numerical value, wherein the difference value between the second numerical value and the first numerical value is 1.
4. The method of claim 1, wherein when the accumulated operating parameter of the charging module is an accumulated charging duration and an accumulated number of charges of the charging module, the process of obtaining the predicted accumulated operating parameter of the alternative charging module comprises:
determining the expected charging time required for the SOC to rise from the current value to a preset target value according to the charging demand parameter of the object to be charged and the current value of the residual electric quantity percentage SOC;
and taking the sum of the predicted charging time length and the current accumulated charging time length of the alternative charging module and the sum of the predicted charging times and the current accumulated charging times of the alternative charging module as the predicted accumulated working parameters of the alternative charging module.
5. A method according to any one of claims 1 to 3, further comprising:
and when receiving a charging ending instruction, closing the target charging module, and updating the accumulated working parameters of the target charging module based on the actual charging duration and/or the actual charging times corresponding to the current charging task.
6. The method according to any one of claims 1 to 4, further comprising:
if any target charging module is detected to have a starting fault, removing the any target charging module from the assignable sequence, and modifying the working state of the any target charging module from an idle state to a fault state;
and continuously executing the step of determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged.
7. The method as recited in claim 6, further comprising:
and sending alarm information to the management platform, wherein the alarm information comprises information of a target charging module marked as a fault state.
8. A power distribution apparatus for a charging pile, the charging pile comprising a plurality of charging modules in an idle state, the apparatus comprising:
The determining module is used for determining each alternative power distribution scheme corresponding to the charging task according to the charging demand parameters of the object to be charged when receiving the charging starting instruction, wherein each alternative power distribution scheme comprises different alternative charging modules and non-alternative charging modules;
the computing module is used for computing the variance corresponding to each alternative power distribution scheme according to the predicted accumulated working parameters of the alternative charging modules and the accumulated working parameters of the non-alternative charging modules in the alternative power distribution scheme, wherein the accumulated working parameters of the charging modules comprise accumulated charging duration and/or accumulated charging times of the charging modules;
the first processing module is used for selecting an alternative power distribution scheme meeting preset conditions as a target power distribution scheme according to the corresponding variance of each alternative power distribution scheme, and starting a corresponding target charging module according to the target power distribution scheme so as to charge the object to be charged;
the calculating the variance corresponding to the alternative power allocation scheme comprises the following steps of;
according to the accumulated working parameters of the charging module, calculating a weighted value M of the accumulated working parameters of the charging module through a formula 1; the formula 1 is;
M=w1*M_T+w2*M_F
Wherein w1 is a weighting coefficient of the accumulated charging time length of the charging module, m_t is an accumulated charging time length of the charging module, w2 is a weighting coefficient of the accumulated charging times of the charging module, m_f is an accumulated charging times of the charging module, and M is a weighting value of an accumulated working parameter of the charging module;
according to each alternative power distribution scheme, calculating the variance s corresponding to each alternative power distribution scheme through a formula 2 2 The method comprises the steps of carrying out a first treatment on the surface of the The formula 2 is;
wherein n is the number of charging modules in an idle state in the charging pile, i is the number of alternative charging modules, j is the number of non-alternative charging modules,for a predicted cumulative operating parameter, M, of i candidate charge modules, a candidate charge module identified as a b For j non-alternative charging modules, the cumulative operating parameter of the non-alternative charging module identified as b,/->For the average cumulative operating parameter of n charging modules s 2 The corresponding variance for the alternative power allocation scheme.
9. A charging pile comprising a memory and a processor, said memory storing a computer program, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when executing said computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.
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