CN115158097A - Charging pile management method and system based on Internet of things and storage medium - Google Patents

Charging pile management method and system based on Internet of things and storage medium Download PDF

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Publication number
CN115158097A
CN115158097A CN202211070732.9A CN202211070732A CN115158097A CN 115158097 A CN115158097 A CN 115158097A CN 202211070732 A CN202211070732 A CN 202211070732A CN 115158097 A CN115158097 A CN 115158097A
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charging
temperature
parameter
time
binding data
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CN115158097B (en
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陈勇
王晖扬
严明
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Nanjing Jinweiniao Intelligent System Co ltd
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Nanjing Jinweiniao Intelligent System 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
    • 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
    • B60L58/24Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
    • 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
    • B60L3/00Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • 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
    • 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
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/545Temperature
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a charging pile management method, a charging pile management system and a storage medium based on the Internet of things, relates to the technical field of new energy, and solves the technical problem that the temperature of a storage battery is overhigh due to long-time charging of the storage battery caused by not considering the temperature of the storage battery.

Description

Charging pile management method and system based on Internet of things and storage medium
Technical Field
The invention belongs to the technical field of new energy, and particularly relates to a charging pile management method, a charging pile management system and a charging pile management storage medium based on the Internet of things.
Background
The charging pile has the function similar to an oiling machine in a gas station, can be fixed on the ground or on the wall, is installed in public buildings (public buildings, markets, public parking lots and the like) and residential area parking lots or charging stations, can charge electric vehicles of various models according to different voltage levels, is directly connected with an alternating current power grid at the input end, and is provided with a charging plug at the output end for charging the electric vehicles.
The invention with the patent publication number of CN108973760A discloses a charging pile management method based on the Internet of things, which comprises the steps that a user reserves an idle charging pile nearby and the like; the invention not only can intuitively know the data of the charging pile, does not need the operation and maintenance personnel to regularly patrol, but also can realize the automatic control of the charging pile equipment, and realizes an adjusting mode with obvious advantage on the control time under the condition of ensuring the consistent control effect, so that the system can provide higher communication transmission efficiency as far as possible while ensuring the error rate required by the system, and the operation and maintenance cost in unit time is greatly improved.
Present fill electric pile is carrying out the management in-process, generally confirm with input power, input power according to the circuit transmission's mode with confirming, deposit the electric energy to the savings battery that corresponds in, under normal save state, the temperature of savings battery all is in controllable state, if external environment temperature is too high, simultaneously because of not taking into account the temperature of savings battery, just lead to the savings battery very easily because of long-time charging, lead to the temperature of savings battery too high, when serious, still can cause comparatively serious explosion accident.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a charging pile management method, a charging pile management system and a charging pile management storage medium based on the Internet of things, which are used for solving the technical problem that the temperature of a storage battery is too high due to long-time charging of the storage battery because the temperature of the storage battery is not taken into consideration.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an internet-of-things-based charging pile management system, including a data acquisition end, an experimental data input end, and a management center;
the management center comprises an experimental data processing end, a storage medium, a power parameter ratio opposite end, a charging data processing end and a control terminal;
the experimental data input end is used for inputting external experimental data into the management center, wherein the experimental data comprises charging power parameters, temperature parameters of the battery and charging time;
an experiment data processing end in the management center processes input experiment data in a time interval mode to obtain temperature rise factors corresponding to different charging time lengths, binds time intervals among the different charging time lengths and the temperature rise factors to obtain a plurality of groups of different binding data packets, sequentially arranges the binding data packets into a first binding data packet, a second binding data packet, … … and an mth binding data packet according to the time sequence, and transmits the plurality of groups of binding data packets to a storage medium for storage;
the data acquisition terminal is used for acquiring the temperature parameter of the external environment and transmitting the acquired temperature parameter of the external environment to the management center;
the charging data processing end carries out temperature control type charging processing on the storage battery according to temperature parameters of an external environment and binding data packets stored in the storage medium, under the condition that the temperature state of the storage battery is not known, the temperature state of the storage battery is estimated according to charging time and temperature rising factors obtained through experiments, the estimated temperature parameters are compared with corresponding preset parameters, and the input power of charging is adjusted and controlled according to comparison results.
Preferably, the experimental data processing end processes the input experimental data in a manner that:
s1, setting the charging power parameter as the optimal charging parameter, and marking different charging time periods as CDs i Marking the temperature parameters corresponding to different charging time periods as WD i Wherein i representsThe same charging time length i =1, 2, … …, n, and the interval time period between each i is 1min;
s2, adopt
Figure 100002_DEST_PATH_IMAGE001
Obtaining temperature rise factors S of different stages i
S3, a plurality of temperature rise factors S i Extracting, and arranging a plurality of groups of temperature rise factors S according to the arrangement form of the time parameter i values i Arranging the temperature rise factors S of the same temperature rise factor after finishing the arrangement i Obtaining the time parameter of the temperature sensor, generating a time interval, and then comparing the time interval with a temperature rise factor S i Binding to generate a binding data packet, and storing the binding data packet into a storage medium;
s4, if a certain group of temperature rise factors S i Independently corresponding to a certain group of time points, acquiring the time point and the next time point as a group of time intervals, binding, generating a binding data packet, and storing the binding data packet in a storage medium;
and S5, repeating the steps S3 and S4, generating a plurality of groups of binding data packets, arranging the plurality of groups of binding data packets according to the time sequence, arranging the binding data packets into a first binding data packet, a second binding data packet, a … … and an mth binding data packet, and storing the plurality of groups of binding data packets in a storage medium.
Preferably, the charging data processing terminal performs temperature-controlled charging processing on the storage battery in the following manner:
p1, acquiring an external temperature parameter, and marking the temperature parameter as CH;
p2, setting the charging power as the optimal charging parameter, extracting the binding data packet from the storage medium, and extracting a first group of time intervals and corresponding temperature rise factors S i Obtaining the initial value X1 and the end value X2 of the time interval, adopting JG 1 = X2-X1 obtaining interval values of a first set of time intervals, using BD 1 =S i ×JG 1 + CH obtaining the temperature BD of the storage battery at the end of charging in the first group of time intervals 1 A temperature value BD 1 And presetComparing the values Y1 when the values are BD 1 < Y1, the next step is performed when BD 1 When the charging power is more than or equal to Y1, changing the charging power to reduce the charging power to the lowest charging parameter;
p3, and then BD 1 Performing secondary processing to extract a second group of time intervals in the second group of binding data packets, and obtaining the interval value JG of the second group of time intervals in the same way as in the step P2 2 Using BD 2 =S i ×JG 2 + BD1 obtaining temperature BD of the accumulator at the end of charging in the second time interval 2 Wherein S is internal i Temperature rise factor S corresponding to the second group of bundled data packets i Temperature value BD 2 Comparing the preset value Y1 with the preset value Y1 in the same way in the step P2;
p4, and then BD m-1 Processing m times, and obtaining the time interval value JG of the m-th group of time intervals by adopting the mode of the step P3 m In the case of using BD m =JG m ×S i +BD m-1 The last set of temperature values BD m Comparing with the default value Y1 when BD m Less than Y1, continuously charging the storage battery, keeping the power parameter unchanged when BD is used m And when the charging parameter is more than or equal to Y1, adjusting the optimal charging parameter to the lowest charging parameter until the charging is finished, and finishing the storage work of the storage battery.
Preferably, the control terminal is configured to change a charging power parameter of the charging pile, where the change mode is to adjust the optimal charging parameter to the lowest charging parameter;
and the power parameter comparison opposite terminal is used for comparing the charging power parameter in the charging process with the optimal charging parameter and the lowest charging parameter stored in the storage medium, checking whether an abnormal power parameter value exists, and if the abnormal power parameter value exists, transmitting the abnormal power parameter value to an external display terminal to warn external maintenance personnel.
Preferably, the storage medium of the charging pile management system based on the internet of things comprises a charging data storage end and a power data storage end, wherein the charging data storage end is used for storing multiple groups of generated binding data packets, and the power data storage end is used for storing preset optimal power parameters and preset lowest power parameters.
Preferably, the management method of the charging pile management system based on the internet of things comprises the following steps:
analyzing and processing the experimental data through the input experimental data to obtain corresponding temperature rise factors in different time periods, and binding different time intervals and the temperature rise factors to obtain a plurality of groups of different binding data packets;
step two, in the charging process, according to the difference of charging duration, dividing charging into a plurality of charging stages, wherein each charging stage corresponds to different temperature rise factors, acquiring external temperature, and estimating the temperature of the battery in the charging process according to the temperature rise factors;
and step three, comparing the estimated battery temperature with a preset value, obtaining whether the battery temperature is normal or not according to a comparison result, if the battery temperature is in an abnormal state, adjusting the charging power parameter to the lowest value, and then performing charging operation.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of processing input experimental data according to the input experimental data to obtain temperature rise factors corresponding to different charging durations, transmitting the temperature rise factors to a storage medium, acquiring temperature parameters of an external environment, performing temperature-controlled charging processing on a storage battery according to the external temperature parameters and a binding data packet inside the storage medium, estimating the temperature state of the storage battery according to the charging durations and the temperature rise factors obtained through experiments under the condition that the temperature state of the storage battery is unknown, comparing the estimated battery temperature with a preset value, obtaining whether the battery temperature is normal or not according to a comparison result, adjusting a charging power parameter to a lowest value if the battery temperature is in an abnormal state, and then performing charging.
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FIG. 1 is a schematic block diagram of the principles of the present invention;
FIG. 2 is a schematic diagram of a storage medium according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the application provides a charging pile management system based on the internet of things, which includes a data acquisition end, an experimental data input end and a management center;
the output end of the data acquisition end is electrically connected with the input end of the management center, and the output end of the experimental data input end is electrically connected with the input end of the management center;
the management center comprises an experimental data processing end, a storage medium, a power parameter ratio opposite end, a charging data processing end and a control terminal;
the output end of the experimental data processing end is electrically connected with the input end of a storage medium, the power parameter ratio is in bidirectional connection with the storage medium, the storage medium is in bidirectional connection with the charging data processing end, and the output end of the charging data processing end is electrically connected with the input end of a control terminal;
the experimental data input end is used for inputting external experimental data into the management center, wherein the experimental data comprise charging power parameters, temperature parameters of the battery and charging time;
the experimental data processing end in the management center processes the input experimental data to obtain temperature rise factors corresponding to different charging durations and transmits the temperature rise factors to the storage medium, wherein the specific processing mode is as follows:
s1, setting the charging power parameter as the optimal charging parameter, and marking different charging time periods as CDs i Marking the temperature parameters corresponding to different charging time periods as WD i Wherein i represents different charging time lengths, i =1, 2, … …, n, and the interval time period between each i is 1min;
s2, adopting
Figure 328320DEST_PATH_IMAGE001
Obtaining temperature rise factors S of different stages i (specifically, temperature raising factor S i Possibly 0, but not possibly negative);
s3, increasing a plurality of temperature increasing factors S i Extracting, and arranging a plurality of groups of temperature rise factors S according to the arrangement form of the time parameter i values i Arranging the temperature rise factors S of the same temperature rise factor after finishing the arrangement i The time parameter of (2) is obtained, a time interval is generated, and then the time interval and a temperature rise factor S are obtained i Binding to generate a binding data packet, and storing the binding data packet into a storage medium;
s4, if a certain group of temperature rise factors S i Independently corresponding to a certain group of time points, acquiring the time point and the next time point as a group of time intervals, binding, generating a binding data packet, and storing the binding data packet in a storage medium;
and S5, repeating the steps S3 and S4, generating a plurality of groups of binding data packets, arranging the plurality of groups of binding data packets according to the time sequence, arranging the binding data packets into a first binding data packet, a second binding data packet, a … … and an mth binding data packet, and storing the plurality of groups of binding data packets in a storage medium.
The data acquisition terminal is used for acquiring the temperature parameter of the external environment and transmitting the acquired temperature parameter of the external environment to the management center;
the charging data processing end carries out temperature control type charging processing on the storage battery according to external temperature parameters and a binding data packet inside the storage medium, under the temperature state that the storage battery is not known, the temperature state of the storage battery is estimated according to charging duration and temperature rising factors obtained by experiments, the temperature state of the storage battery is estimated, the estimation mode is adopted, the overhigh temperature of the storage battery can be avoided, serious accidents are avoided at the same time, and the temperature control type charging processing mode is as follows:
p1, acquiring an external temperature parameter, and marking the temperature parameter as CH;
p2, setting the charging power as the optimal charging parameter, extracting the binding data packet from the storage medium, and extracting a first group of time intervals and corresponding temperature rise factors S i Obtaining the initial value X1 and the end value X2 of the time interval, adopting JG 1 = X2-X1 to obtain interval value of the first group of time intervals by adopting BD 1 =S i ×JG 1 + CH obtaining the temperature BD of the storage battery at the end of charging in the first group of time intervals 1 A temperature value BD 1 Comparing with preset value Y1 (specifically, preset value Y1 is a group of early warning temperature values, and the specific values are drawn by external personnel), when BD 1 < Y1, the next step is performed when BD 1 When the charging power is more than or equal to Y1, changing the charging power to reduce the charging power to the lowest charging parameter (specifically, the lowest charging parameter is set by an operator, and under a normal condition, in a high-temperature environment, when a storage battery is charged, the temperature of the storage battery can reach a corresponding early warning value generally after charging for 6 hours, and at the moment, the stored electric quantity of the storage battery reaches 80%, so that when the charging power is regulated to the lowest, the normal use of an external driver on a vehicle can not be influenced);
p3, and then BD 1 Performing secondary processing to extract a second group of time intervals in the second group of binding data packets, and obtaining the interval value JG of the second group of time intervals in the same way as in the step P2 2 Using BD 2 =S i ×JG 2 + BD1 obtaining temperature BD of the accumulator at the end of charging in the second time interval 2 In which S is internal i Temperature rise factor S corresponding to the second group of bundled data packets i A temperature value BD 2 Using the same method as in step P2 as the preset value Y1Comparing the formula;
p4, and then BD m-1 Processing m times, and obtaining the time interval value JG of the m-th group of time intervals by adopting the mode of the step P3 m When using BD m =JG m ×S i +BD m-1 The last set of temperature values BD m Comparing with the default value Y1 when BD m Less than Y1, continuously charging the storage battery, keeping the power parameter unchanged when BD is used m And when the charging parameter is more than or equal to Y1, adjusting the optimal charging parameter to the lowest charging parameter until the charging is finished, and finishing the storage work of the storage battery.
The control terminal is used for changing the charging power parameter of the charging pile in a mode of adjusting the optimal charging parameter to the lowest charging parameter;
the power parameter comparison opposite terminal is used for comparing the charging power parameter in the charging process with the optimal charging parameter and the lowest charging parameter stored in the storage medium, checking whether an abnormal power parameter value exists, and if the abnormal power parameter value exists, transmitting the abnormal power parameter value to an external display terminal to warn external maintenance personnel;
a charging pile management method based on the Internet of things comprises the following steps:
analyzing and processing the experimental data through the input experimental data to obtain corresponding temperature rise factors in different time periods, and binding different time intervals and the temperature rise factors to obtain a plurality of groups of different binding data packets;
step two, in the charging process, according to the difference of charging duration, dividing charging into a plurality of charging stages, wherein each charging stage corresponds to different temperature rise factors, acquiring external temperature, and estimating the temperature of the battery in the charging process according to the temperature rise factors;
and step three, comparing the estimated battery temperature with a preset value, obtaining whether the battery temperature is normal or not according to a comparison result, if the battery temperature is in an abnormal state, adjusting the charging power parameter to the lowest value, and then performing charging operation.
As shown in fig. 2, a charging pile storage medium based on the internet of things includes a charging data storage end and a power data storage end, wherein the charging data storage end is used for storing multiple groups of generated binding data packets, and the power data storage end is used for storing preset optimal power parameters and preset minimum power parameters.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: processing the input experimental data according to the input experimental data to obtain temperature rise factors corresponding to different charging durations, transmitting the temperature rise factors to a storage medium, acquiring temperature parameters of an external environment, performing temperature-controlled charging processing on the storage battery according to the external temperature parameters and a binding data packet inside the storage medium, estimating the temperature state of the storage battery according to the charging durations and the temperature rise factors obtained by the experiment under the condition that the temperature state of the storage battery is unknown, comparing the estimated battery temperature with a preset value, and obtaining whether the battery temperature is normal or not according to a comparison result.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present invention.

Claims (6)

1. A charging pile management system based on the Internet of things is characterized by comprising a data acquisition end, an experiment data input end and a management center;
the management center comprises an experimental data processing end, a storage medium, a power parameter ratio opposite end, a charging data processing end and a control terminal;
the experimental data input end is used for inputting external experimental data into the management center, wherein the experimental data comprises charging power parameters, temperature parameters of the battery and charging time;
an experimental data processing end in the management center processes input experimental data in a time interval mode to obtain temperature rise factors corresponding to different charging durations, binds time intervals and the temperature rise factors among the different charging durations to obtain a plurality of groups of different binding data packets, sequentially arranges the binding data packets into a first binding data packet, a second binding data packet, … … and an mth binding data packet according to the time sequence, and transmits the plurality of groups of binding data packets to a storage medium for storage;
the data acquisition terminal is used for acquiring the temperature parameter of the external environment and transmitting the acquired temperature parameter of the external environment to the management center;
the charging data processing end carries out temperature control type charging processing on the storage battery according to temperature parameters of an external environment and binding data packets stored in the storage medium, under the condition that the temperature state of the storage battery is not known, the temperature state of the storage battery is estimated according to charging time and temperature rising factors obtained through experiments, the estimated temperature parameters are compared with corresponding preset parameters, and the input power of charging is adjusted and controlled according to comparison results.
2. The charging pile management system based on the internet of things as claimed in claim 1, wherein the experimental data processing end processes the input experimental data in a manner that:
s1, setting the charging power parameter as the optimal charging parameter, and marking different charging time periods as CD i Will beThe temperature parameters corresponding to different charging time lengths are marked as WD i Wherein i represents different charging time lengths, i =1, 2, … …, n, and the interval time period between each i is 1min;
s2, adopt
Figure DEST_PATH_IMAGE001
Obtaining temperature rise factors S of different stages i
S3, increasing a plurality of temperature increasing factors S i Extracting, and arranging a plurality of groups of temperature rise factors S according to the arrangement form of the time parameter i values i Arranging, and after arranging, belonging to the same temperature rise factor S i The time parameter of (2) is obtained, a time interval is generated, and then the time interval and a temperature rise factor S are obtained i Binding to generate a binding data packet, and storing the binding data packet into a storage medium;
s4, if a certain group of temperature rise factors S i Independently corresponding to a certain group of time points, acquiring the time point and the next time point as a group of time intervals, binding, generating a binding data packet, and storing the binding data packet in a storage medium;
and S5, repeating the steps S3 and S4, generating a plurality of groups of binding data packets, arranging the plurality of groups of binding data packets according to the time sequence, arranging the binding data packets into a first binding data packet, a second binding data packet, a … … and an mth binding data packet, and storing the plurality of groups of binding data packets in a storage medium.
3. The charging pile management system based on the internet of things of claim 2, wherein the charging data processing end performs temperature-control charging processing on the storage battery in a manner that:
p1, acquiring an external temperature parameter, and marking the temperature parameter as CH;
p2, setting the charging power as the optimal charging parameter, extracting the binding data packet from the storage medium, and extracting a first group of time intervals and corresponding temperature rise factors S i Obtaining the initial value X1 and the end value X2 of the time interval, adoptingJG 1 = X2-X1 obtaining interval values of a first set of time intervals, using BD 1 =S i ×JG 1 + CH obtains the temperature BD of the storage battery at the end of charging in the first group of time intervals 1 A temperature value BD 1 Comparing with the default value Y1 when BD 1 < Y1, the next step is performed when BD 1 When the charging power is more than or equal to Y1, changing the charging power to reduce the charging power to the lowest charging parameter;
p3, and then BD 1 Performing secondary processing to extract a second group of time intervals in the second group of binding data packets, and obtaining the interval value JG of the second group of time intervals in the same way as in the step P2 2 Using BD 2 =S i ×JG 2 + BD1 obtaining temperature BD of the accumulator at the end of charging in the second time interval 2 In which S is internal i Temperature rise factor S corresponding to the second group of bundled data packets i A temperature value BD 2 Comparing the preset value Y1 with the preset value Y1 in the same way in the step P2;
p4, and then BD m-1 Processing m times to obtain the time interval value JG of the mth group time interval by adopting the mode of the step P3 m When using BD m =JG m ×S i +BD m-1 The last set of temperature values BD m Comparing with the default value Y1 when BD m Less than Y1, continuously charging the storage battery, keeping the power parameter unchanged when BD is used m And when the charging parameter is more than or equal to Y1, adjusting the optimal charging parameter to the lowest charging parameter until the charging is finished, and finishing the storage work of the storage battery.
4. The Internet of things-based charging pile management system according to claim 3, wherein the control terminal is used for changing the charging power parameter of the charging pile in a manner of adjusting the optimal charging parameter to the lowest charging parameter;
the power parameter comparison opposite terminal is used for comparing the charging power parameter in the charging process with the optimal charging parameter and the lowest charging parameter stored in the storage medium, checking whether an abnormal power parameter value exists, and if the abnormal power parameter value exists, transmitting the abnormal power parameter value to an external display terminal to warn external maintenance personnel.
5. The storage medium of the charging pile management system based on the Internet of things is characterized by comprising a charging data storage end and a power data storage end, wherein the charging data storage end is used for storing multiple groups of generated binding data packets, and the power data storage end is used for storing preset optimal power parameters and preset lowest power parameters.
6. A management method of a charging pile management system based on the Internet of things is characterized by comprising the following steps:
analyzing and processing the experimental data through the input experimental data to obtain corresponding temperature rise factors in different time periods, and binding different time intervals and the temperature rise factors to obtain a plurality of groups of different binding data packets;
step two, in the charging process, according to the difference of charging duration, dividing charging into a plurality of charging stages, wherein each charging stage corresponds to different temperature rise factors, acquiring external temperature, and estimating the temperature of the battery in the charging process according to the temperature rise factors;
and step three, comparing the estimated battery temperature with a preset value, obtaining whether the battery temperature is normal or not according to a comparison result, if the battery temperature is in an abnormal state, adjusting the charging power parameter to the lowest value, and then performing charging operation.
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