CN112009294A - Sharing charging service system based on smart city light storage and charging integrated parking shed - Google Patents

Sharing charging service system based on smart city light storage and charging integrated parking shed Download PDF

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Publication number
CN112009294A
CN112009294A CN202010928499.8A CN202010928499A CN112009294A CN 112009294 A CN112009294 A CN 112009294A CN 202010928499 A CN202010928499 A CN 202010928499A CN 112009294 A CN112009294 A CN 112009294A
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battery
vehicle
charging
module
data
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任冬冬
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Anhui Liuhe Tongxin Wind Energy Equipment Co ltd
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Anhui Liuhe Tongxin Wind Energy Equipment Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/65—Monitoring or controlling charging stations involving identification of vehicles or their battery types
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric 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)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention discloses a smart city light storage and charging integrated parking shed-based shared charging service system, which comprises a camera, a data analysis module, an audio acquisition module, a ground lock module, a controller, a fault prediction module, a data acquisition module and a display module, wherein the camera is connected with the data analysis module; the invention identifies whether the vehicle has the exhaust pipe or not and analyzes the audio content by collecting the video information and the audio information of the passing vehicle, so as to judge that the vehicle is the electric vehicle or the gasoline vehicle, solve the problem that the charging pile is occupied by the gasoline vehicle, and have the advantages of simple equipment and accurate detection data; when a charging wire of the electric vehicle is connected with a charging pile for charging, acquiring battery data of the electric vehicle, analyzing and processing the battery data to obtain a danger coefficient of the battery and a fault coefficient of the battery; timely early warning, the suggestion car owner changes the battery, and the controller control fills electric pile outage simultaneously, avoids the risk because of the electric motor car battery ages for a long time and causes.

Description

Sharing charging service system based on smart city light storage and charging integrated parking shed
Technical Field
The invention relates to the technical field of parking sheds, in particular to a shared charging service system based on an intelligent city light storage and charging integrated parking shed.
Background
Photovoltaic power generation, energy storage systems and electric vehicles are the key industries of development in the current country, and have gained wide attention and rapid development. The light storage and charging integrated parking shed is an intelligent new energy comprehensive application system integrating solar photovoltaic power generation, energy storage system regulation and control and electric vehicle charging functions.
The publication number CN109658616A discloses a fixed charging pile and a management system thereof, which relates to an electric vehicle charging and management system thereof, and comprises a fixed charging pile, a background management system and a client; the fixed charging pile comprises a controller, a charging gun, a card swiping module, a display screen, a communication module and a power module; the client side is connected with the background management system through the network, and the system can continue to charge when network signals are poor, so that the charging experience of a user can be improved.
But at the in-process of actual operation, fill a large amount of charging parking stalls in the electric pile and be occupied, the condition of occupying includes: the charging pile has the advantages that the charging pile is low in utilization rate due to the fact that non-electric vehicles occupy parking spaces, electric vehicles occupy parking spaces and the like, so that a lot of vehicles needing to be charged cannot find the charging parking spaces at key time, resources of the charging parking spaces are wasted, and certain economic loss is caused;
and some electric motor car batteries use for a long time, and the battery is ageing, charging in charging pile can lead to the electric motor car to catch fire, causes the incident.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a shared charging service system based on a smart city light storage and charging integrated parking shed, and the system can identify whether the vehicle has an exhaust pipe or not and analyze audio content by collecting video information and audio information of the passing vehicle, so as to judge whether the vehicle is an electric vehicle or a gasoline vehicle, solve the problem that a charging pile is occupied by the gasoline vehicle, and has the advantages of simple equipment and accurate detection data; when a charging wire of the electric vehicle is connected with a charging pile for charging, acquiring battery data of the electric vehicle, analyzing and processing the battery data to obtain a danger coefficient of the battery and a fault coefficient of the battery; when the danger coefficient is more than or equal to the preset value or the fault coefficient is more than or equal to the threshold value, early warning is timely carried out, a vehicle owner is prompted to replace the battery, meanwhile, the controller controls the charging pile to be powered off, and the risk caused by long-time use and aging of the battery of the electric vehicle is avoided.
The purpose of the invention can be realized by the following technical scheme: the shared charging service system based on the smart city light storage and charging integrated parking shed comprises a camera, a data analysis module, an audio acquisition module, a ground lock module, a controller, a fault prediction module, a data acquisition module and a display module;
the camera is arranged in the parking shed and used for recording video information of a vehicle entering the parking shed in real time and transmitting the video information to the controller through a Zigbee wireless network, the controller is used for transmitting the video information to the data analysis module, the data analysis module is connected with the Internet, and the audio acquisition module is used for acquiring audio information of the vehicle and transmitting the audio information of the vehicle to the controller; the controller transmits the video information of the vehicle and the audio information of the vehicle to the data analysis module;
the data analysis module is used for receiving video information of the vehicle and audio information of the vehicle, identifying and analyzing the video information and the audio information, and identifying whether the entering vehicle is a gasoline vehicle or an electric vehicle; the specific analysis steps of the data analysis module are as follows:
the method comprises the following steps: acquiring video information of a vehicle entering a parking shed, identifying whether the vehicle has an exhaust pipe, if so, judging the vehicle is a gasoline vehicle, and sending out warning display to remind the gasoline vehicle of leaving without occupying the charging potential of a charging pile; if the exhaust pipe does not exist, continuing the step two;
step two: acquiring audio information of a vehicle, judging whether the vehicle is a motor or an engine according to the audio information, if the vehicle is the motor, judging that the vehicle is an electric vehicle, and retracting a ground lock to allow parking; if the engine is the gasoline vehicle, the gasoline vehicle is judged to be the gasoline vehicle, warning display is sent out, the gasoline vehicle is reminded to leave the charging position which does not occupy the charging pile privately, and the ground lock is kept in an unfolded state;
when a charging wire of the electric vehicle is connected with the charging pile for charging, the data acquisition module is used for acquiring battery data of the electric vehicle and transmitting the battery data of the electric vehicle to the fault prediction module;
the fault prediction module is used for receiving and analyzing battery data of the electric vehicle, and comprises the following specific steps:
SS 1: the real-time current value flowing through the battery is obtained and marked as I0；
SS 2: obtaining real-time voltage values at two ends of the battery and marking the real-time voltage values as U0；
SS 3: according to the formula R0＝U0/I0Obtaining a resistance value R of the battery in a direct current charging state0；
SS 4: calculating the time difference between the production date of the battery and the current time of the system to obtain the production time length of the battery and marking the production time length as SC;
calculating the time difference between the installation date of the battery and the current time of the system to obtain the service life of the battery, and marking the service life as SA;
SS 5: according to the resistance value R of the battery in the direct current charging state0And the DC charging resistance value R of the battery when leaving the factory1Acquiring a danger coefficient of the battery; using the formula LH ═ (RB-R)1)/(RB-R0) Acquiring a danger coefficient LH of the battery; wherein RB is a resistance value in a dc charged state when the battery capacity of the battery decreases to 70%;
SS 6: comparing the danger coefficient LH of the battery with a preset value;
if LH is larger than or equal to a preset value, evaluating that the battery is in a dangerous state, sending out an early warning signal, prompting a vehicle owner to replace the battery, and transmitting the early warning signal to a controller;
if LH is less than the predetermined value, go to step SS 7;
SS 7: carrying out dequantization processing on the production duration, the use duration and the risk coefficient and taking the values of the dequantization processing and the use duration and the risk coefficient;
SS 8: using formulas
Figure BDA0002669335060000031
Calculating to obtain a fault coefficient lambda of the battery; b1, b2 and b3 are all preset proportionality coefficients;
SS 8: if the lambda is larger than or equal to the threshold value, the battery is evaluated to be in a dangerous state, an early warning signal is sent out to prompt a vehicle owner to replace the battery, and the early warning signal is transmitted to the controller.
Furthermore, the ground lock module is installed on a charging position in front of the charging pile, the initial state of the ground lock module is an unfolding parking refusing state, and when the data analysis module receives an electric vehicle signal identified as the electric vehicle signal, the ground lock is folded to allow parking;
further, the controller receives the early warning signal to control the charging pile to be powered off and transmits the early warning signal to the display module, and the display module receives the early warning signal and displays dangerous words of the battery in real time;
further, the battery data includes a real-time current value, a real-time voltage value and basic information of the battery flowing through the battery; the basic information of the battery comprises the production date and the installation date of the battery; the data acquisition module comprises a current sensor and a voltage sensor; the audio acquisition module includes a plurality of vibration frequency sensors.
The invention has the beneficial effects that:
1. the camera and the audio acquisition module are used for acquiring the video information and the audio information of the passing vehicle, identifying whether the vehicle has an exhaust pipe or not and analyzing the audio content to judge whether the vehicle is an electric vehicle or a gasoline vehicle, so that the problem that a charging pile is occupied by the gasoline vehicle is solved, and the device has the advantages of simple equipment and accurate detection data;
2. the method comprises the steps that battery data of the electric vehicle in the charging process are collected through a data collection module; analyzing the battery data; acquiring a real-time current value and a real-time voltage value flowing through a battery in a direct current charging state; obtaining the resistance value R of the battery in the direct current charging state0(ii) a According to the resistance value R of the battery in the direct current charging state0And DC charging resistance R of the battery when it leaves the factory1Acquiring a danger coefficient LH of the battery; if LH is greater than or equal to the preset value, the battery is evaluated to be in a dangerous state, and an early warning signal is sent out to prompt a vehicle owner to replace the battery;
if LH is less than a predetermined value; will give birth toThe length of birth time, the length of use time and the danger coefficient are dequantized and the values are taken, and a formula is utilized
Figure BDA0002669335060000041
Calculating to obtain a fault coefficient lambda of the battery, if the lambda is larger than or equal to a threshold value, evaluating that the battery is in a dangerous state, sending an early warning signal, prompting a vehicle owner to replace the battery, transmitting the early warning signal to a controller, receiving the early warning signal by the controller, controlling the charging pile to be powered off and transmitting the early warning signal to a display module, receiving the early warning signal by the display module, displaying dangerous words of the battery in real time, and prompting risks in time; avoid the risk that causes because of the long-time use of electric motor car battery is ageing.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
As shown in fig. 1, the shared charging service system based on the smart city light storage and charging integrated parking shed comprises a camera, a data analysis module, an audio acquisition module, a ground lock module, a controller, a fault prediction module, a data acquisition module and a display module;
the camera is arranged in the parking shed and used for recording video information of a vehicle entering the parking shed in real time and transmitting the video information to the controller through a Zigbee wireless network, the controller is used for transmitting the video information to the data analysis module, the data analysis module is connected with the Internet, and the audio acquisition module is used for acquiring audio information of the vehicle and transmitting the audio information of the vehicle to the controller; the audio acquisition module comprises a plurality of vibration frequency sensors which are in communication connection with the controller, and the controller transmits video information of the vehicle and audio information of the vehicle to the data analysis module;
the controller starts the audio acquisition module in a delayed manner;
the ground lock module is arranged on a charging position in front of the charging pile, the initial state of the ground lock module is an unfolding parking refusing state, and when the ground lock module receives a signal of identifying the electric vehicle from the controller, the ground lock module is folded to allow parking;
the data analysis module is used for receiving video information of the vehicle and audio information of the vehicle, identifying and analyzing the video information and the audio information, and identifying whether the entering vehicle is a gasoline vehicle or an electric vehicle; the specific analysis steps of the data analysis module are as follows:
the method comprises the following steps: acquiring video information of a vehicle entering a parking shed, identifying whether the vehicle enters an exhaust pipe or not, if the vehicle enters the parking shed, judging the vehicle to be a gasoline vehicle, and sending warning display to remind the gasoline vehicle of leaving a charging position which does not occupy a charging pile privately; if the exhaust pipe does not exist, continuing the step two;
step two: acquiring audio information of a vehicle, judging whether the vehicle is a motor or an engine according to the audio information, if the vehicle is the motor, judging that the vehicle is an electric vehicle, and retracting a ground lock to allow parking; if the engine is the gasoline vehicle, the gasoline vehicle is judged to be the gasoline vehicle, warning display is sent out, the gasoline vehicle is reminded to leave the charging position which does not occupy the charging pile privately, and the ground lock is kept in an unfolded state;
when a charging wire of the electric vehicle is connected with the charging pile for charging, the data acquisition module is used for acquiring battery data of the electric vehicle and transmitting the battery data of the electric vehicle to the fault prediction module, wherein the battery data comprises a real-time current value, a real-time voltage value and basic information of the battery; the basic information of the battery comprises the production date and the installation date of the battery; the data acquisition module comprises a current sensor and a voltage sensor;
the fault prediction module is used for receiving and analyzing battery data of the electric vehicle, and comprises the following specific steps:
SS 1: the real-time current value flowing through the battery is obtained and marked as I0；
SS 2: obtaining real-time voltage values at two ends of the battery and marking the real-time voltage values as U0；
SS 3: according to the formula R0＝U0/I0Obtaining a resistance value R of the battery in a direct current charging state0；
SS 4: calculating the time difference between the production date of the battery and the current time of the system to obtain the production time length of the battery and marking the production time length as SC;
calculating the time difference between the installation date of the battery and the current time of the system to obtain the service life of the battery, and marking the service life as SA;
SS 5: according to the resistance value R of the battery in the direct current charging state0And the DC charging resistance value R of the battery when leaving the factory1Acquiring a danger coefficient of the battery; using the formula LH ═ (RB-R)1)/(RB-R0) Acquiring a danger coefficient LH of the battery; wherein RB is a resistance value in a dc charged state when the battery capacity of the battery decreases to 70%; for batteries used in vehicles such as electric vehicles and battery cars, when the battery capacity of the battery is reduced to 70%, the battery can be judged to be aged; the fire and other dangers can occur when the device is used continuously;
SS 6: comparing the danger coefficient LH of the battery with a preset value;
if LH is larger than or equal to a preset value, evaluating that the battery is in a dangerous state, sending out an early warning signal, prompting a vehicle owner to replace the battery, and transmitting the early warning signal to a controller;
if LH is less than the predetermined value, go to step SS 7;
SS 7: carrying out dequantization processing on the production duration, the use duration and the risk coefficient and taking the values of the dequantization processing and the use duration and the risk coefficient;
SS 8: using formulas
Figure BDA0002669335060000071
Calculating to obtain a fault coefficient lambda of the battery; b1, b2 and b3 are all preset proportionality coefficients;
SS 8: if the lambda is larger than or equal to the threshold value, the battery is evaluated to be in a dangerous state, an early warning signal is sent out to prompt a vehicle owner to replace the battery, and the early warning signal is transmitted to the controller;
the controller receives the early warning signal control and fills electric pile outage and transmit the early warning signal to the display module, the display module receives the early warning signal and shows battery danger word eye in real time.
When the shared charging service system based on the smart city light storage and charging integrated parking shed works, firstly, a camera records video information of a vehicle entering the parking shed in real time and transmits the video information to a controller through a Zigbee wireless network, and an audio acquisition module acquires audio information of the vehicle and transmits the audio information of the vehicle to the controller; the data analysis module is used for receiving video information of the vehicle and audio information of the vehicle, identifying and analyzing the video information and the audio information, and identifying whether the entering vehicle is a gasoline vehicle or an electric vehicle; if the vehicle is the gasoline vehicle, a warning display is sent out to remind the gasoline vehicle of leaving the charging position not occupying the charging pile privately, and the ground lock is kept in an unfolded state; the charging pile is characterized in that whether the vehicle is an electric vehicle or a gasoline vehicle is judged by acquiring video information and audio information of the passing vehicle, identifying whether the vehicle has an exhaust pipe and analyzing audio content, so that the problem that the charging pile is occupied by the gasoline vehicle is solved, and the charging pile has the advantages of simple equipment and accurate detection data;
when a charging wire of the electric vehicle is connected with the charging pile for charging, the data acquisition module is used for acquiring battery data of the electric vehicle and transmitting the battery data of the electric vehicle to the fault prediction module; acquiring a real-time current value and a real-time voltage value flowing through a battery in a direct current charging state; obtaining the resistance value R of the battery in a direct current charging state0(ii) a According to the resistance value R of the battery in the direct current charging state0And the DC charging resistance value R of the battery when leaving the factory1Acquiring a danger coefficient LH of the battery; if LH is greater than or equal to a preset value, evaluating that the battery is in a dangerous state, and sending an early warning signal to prompt a vehicle owner to replace the battery; if LH is less than a predetermined value; the production duration, the use duration and the danger coefficient are subjected to dequantization treatment and takenValue using a formula
Figure BDA0002669335060000081
Calculating to obtain a fault coefficient lambda of the battery, if the lambda is larger than or equal to a threshold value, evaluating that the battery is in a dangerous state, sending an early warning signal to prompt a vehicle owner to replace the battery, transmitting the early warning signal to a controller, receiving the early warning signal by the controller to control the charging pile to be powered off and transmitting the early warning signal to a display module, receiving the early warning signal by the display module, displaying dangerous words and eyes of the battery in real time, and prompting risks in time; avoid the risk that causes because of the long-time use of electric motor car battery is ageing.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (4)

1. The shared charging service system based on the smart city light storage and charging integrated parking shed is characterized by comprising a camera, a data analysis module, an audio acquisition module, a ground lock module, a controller, a fault prediction module, a data acquisition module and a display module;
the camera is arranged in the parking shed and used for recording video information of vehicles entering the parking shed in real time and transmitting the video information to the controller through a Zigbee wireless network, and the audio acquisition module is used for acquiring audio information of the vehicles and transmitting the audio information of the vehicles to the controller; the controller transmits the video information of the vehicle and the audio information of the vehicle to the data analysis module; the data analysis module is connected with the Internet;
the data analysis module is used for receiving video information of the vehicle and audio information of the vehicle, identifying and analyzing the video information and the audio information, and identifying whether the entering vehicle is a gasoline vehicle or an electric vehicle; the specific analysis steps of the data analysis module are as follows:
the method comprises the following steps: acquiring video information of a vehicle entering a parking shed, identifying whether the vehicle has an exhaust pipe, if so, judging the vehicle is a gasoline vehicle, and sending out warning display to remind the gasoline vehicle of leaving without occupying the charging potential of a charging pile; if the exhaust pipe does not exist, continuing the step two;
step two: acquiring audio information of a vehicle, judging whether the vehicle is a motor or an engine according to the audio information, if the vehicle is the motor, judging that the vehicle is an electric vehicle, and retracting a ground lock to allow parking; if the engine is the gasoline vehicle, the gasoline vehicle is judged to be the gasoline vehicle, warning display is sent out, the gasoline vehicle is reminded to leave the charging position which does not occupy the charging pile privately, and the ground lock is kept in an unfolded state;
when a charging wire of the electric vehicle is connected with the charging pile for charging, the data acquisition module is used for acquiring battery data of the electric vehicle and transmitting the battery data of the electric vehicle to the fault prediction module;
the fault prediction module is used for receiving and analyzing battery data of the electric vehicle, and comprises the following specific steps:
SS 1: the real-time current value flowing through the battery is obtained and marked as I0；
SS 2: obtaining real-time voltage values at two ends of the battery and marking the real-time voltage values as U0；
SS 3: according to the formula R0＝U0/I0Obtaining a resistance value R of the battery in a direct current charging state0；
SS 4: calculating the time difference between the production date of the battery and the current time of the system to obtain the production time length of the battery and marking the production time length as SC;
calculating the time difference between the installation date of the battery and the current time of the system to obtain the service life of the battery, and marking the service life as SA;
SS 5: according toResistance value R of the battery in a DC charging state0And the DC charging resistance value R of the battery when leaving the factory1Acquiring a danger coefficient of the battery; using the formula LH ═ (RB-R)1)/(RB-R0) Acquiring a danger coefficient LH of the battery; wherein RB is a resistance value in a dc charged state when the battery capacity of the battery decreases to 70%;
SS 6: comparing the danger coefficient LH of the battery with a preset value;
if LH is larger than or equal to a preset value, evaluating that the battery is in a dangerous state, sending out an early warning signal, prompting a vehicle owner to replace the battery, and transmitting the early warning signal to a controller;
if LH is less than the predetermined value, go to step SS 7;
SS 7: carrying out dequantization processing on the production duration, the use duration and the risk coefficient and taking the values of the dequantization processing and the use duration and the risk coefficient;
SS 8: using formulas
Figure FDA0002669335050000021
Calculating to obtain a fault coefficient lambda of the battery; b1, b2 and b3 are all preset proportionality coefficients;
SS 8: if the lambda is larger than or equal to the threshold value, the battery is evaluated to be in a dangerous state, an early warning signal is sent out to prompt a vehicle owner to replace the battery, and the early warning signal is transmitted to the controller.
2. The shared charging service system based on the smart city integrated parking shed with light storage and charging functions as claimed in claim 1, wherein the ground lock module is installed on a charging position in front of the charging pile, the initial state of the ground lock module is an unfolding parking refusal state, and when the data analysis module identifies as an electric vehicle signal, the ground lock module is folded to allow parking.
3. The shared charging service system based on the smart city light storage and charging integrated parking shed as claimed in claim 1, wherein the controller receives an early warning signal to control the charging pile to be powered off and transmits the early warning signal to the display module, and the display module receives the early warning signal and displays the dangerous words of the battery in real time.
4. The smart city light storage and charging integrated parking shed-based shared charging service system as claimed in claim 1, wherein the battery data includes real-time current value, real-time voltage value flowing through the battery and basic information of the battery; the basic information of the battery comprises the production date and the installation date of the battery; the data acquisition module comprises a current sensor and a voltage sensor; the audio acquisition module includes a plurality of vibration frequency sensors.
CN202010928499.8A 2020-09-07 2020-09-07 Sharing charging service system based on smart city light storage and charging integrated parking shed Withdrawn CN112009294A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113580990A (en) * 2021-06-07 2021-11-02 广东劲天科技有限公司 Charging management method, terminal and system
CN113665398A (en) * 2021-07-22 2021-11-19 广东劲天科技有限公司 Charging gun fault detection method, terminal and system
CN113851760A (en) * 2021-09-26 2021-12-28 上汽通用五菱汽车股份有限公司 Temperature control method of battery system, vehicle and readable storage medium
CN115489372A (en) * 2022-09-15 2022-12-20 南京开关厂股份有限公司 Intelligent charging cabinet management and control system based on data acquisition

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113580990A (en) * 2021-06-07 2021-11-02 广东劲天科技有限公司 Charging management method, terminal and system
CN113665398A (en) * 2021-07-22 2021-11-19 广东劲天科技有限公司 Charging gun fault detection method, terminal and system
CN113851760A (en) * 2021-09-26 2021-12-28 上汽通用五菱汽车股份有限公司 Temperature control method of battery system, vehicle and readable storage medium
CN115489372A (en) * 2022-09-15 2022-12-20 南京开关厂股份有限公司 Intelligent charging cabinet management and control system based on data acquisition
CN115489372B (en) * 2022-09-15 2023-10-24 南京开关厂股份有限公司 Intelligent charging cabinet management and control system based on data acquisition

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