CN112946486A - Health monitoring system for airport electric vehicle power system - Google Patents
Health monitoring system for airport electric vehicle power system Download PDFInfo
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- CN112946486A CN112946486A CN202110247272.1A CN202110247272A CN112946486A CN 112946486 A CN112946486 A CN 112946486A CN 202110247272 A CN202110247272 A CN 202110247272A CN 112946486 A CN112946486 A CN 112946486A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
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Abstract
The invention belongs to the technical field of airport operation guarantee, and provides a health monitoring system of an airport electric vehicle power system, which comprises: the system comprises a vehicle-mounted data acquisition terminal, a microclimate station, a data transmission network and a cloud data platform; the vehicle-mounted data acquisition terminal is connected with the airport electric vehicle power system and is used for acquiring the information of a power battery pack of the airport electric vehicle power system; the microclimate station is arranged in the operation environment of the airport electric vehicle and used for collecting meteorological elements of the operation environment; the cloud data platform is respectively connected with the vehicle-mounted data acquisition terminal and the microclimate station through a data transmission network, a trained health assessment model is stored, and the health condition of the power battery pack is obtained by the model according to the information of the power battery pack and the meteorological elements. The method realizes the health prediction of the power battery pack under different operating environments, can improve the health monitoring level of the power battery pack, and has important value for preventing the hidden danger of thermal runaway caused by the reduction of the health level of the power battery pack.
Description
Technical Field
The invention belongs to the technical field of airport operation guarantee, and particularly provides a health monitoring system of an airport electric vehicle power system.
Background
The airport electric vehicle is an important guarantee device for airport operation, and the health condition of a lithium battery power system (or called an airport electric vehicle power system) is directly related to the safe operation level of the airport.
The prior art electric vehicle powertrain health monitoring system is mainly directed to general social vehicles, and airport electric vehicles are very different from general social vehicles in terms of operating environment and vehicle structural features, such as: the airport electric vehicle works on the airport apron, and the airport apron has the characteristics of no shielding, large-area hardened pavement, high ground temperature far higher than that of a common social road under the conditions of high temperature and strong illumination, and the like; meanwhile, the battery pack of the battery power system of part of airport electric vehicles is arranged on the top of the vehicle, and the illumination has great influence on the temperature of the battery pack. Because the above factors are not fully considered in the actual operation of the vehicle, if the conventional health monitoring system of the power system of the electric vehicle is applied to the health monitoring of the airport electric vehicle, the health condition is inaccurate, and the normal use of the airport electric vehicle is influenced.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a health monitoring system of an airport electric vehicle power system, which comprises: the system comprises a vehicle-mounted data acquisition terminal, a microclimate station, a data transmission network and a cloud data platform; the vehicle-mounted data acquisition terminal is connected with the airport electric vehicle power system and is used for acquiring the information of a power battery pack of the airport electric vehicle power system; the microclimate station is arranged in the operating environment of the airport electric vehicle and used for collecting meteorological elements of the operating environment; the cloud data platform is respectively connected with the vehicle-mounted data acquisition terminal and the microclimate station through a data transmission network, a trained health assessment model is stored, and the trained health assessment model obtains the health condition of the power battery pack according to the power battery pack information of the airport electric vehicle power system and the meteorological elements of the operating environment.
Optionally, the meteorological elements comprise: (ii) temperature; or temperature, wind speed and/or light; the power battery pack information comprises: the number of charge and discharge cycles that have been performed.
Optionally, constructing an initial health assessment model; obtaining a sample set, the sample set comprising a plurality of data sets, each data set comprising: the capacity index of the power battery pack, the number of executed charge and discharge cycles and meteorological elements of the operating environment; training the initial health assessment model by using the sample set to obtain a trained health assessment model; the capacitance index of the power battery pack is used for representing the health condition and is the percentage of the actual output capacitance of the power battery pack under the preset depth of discharge to the rated capacitance of the power battery pack.
Optionally, the actual output capacity C of the power battery pack at the preset depth of dischargeoutputComprises the following steps:
wherein, IoutputIs the output current of the power battery pack, UoutputIs the output voltage of the power battery pack, and t is the airport electric vehicle power systemWorking time of (d), t (U)high) The initial discharge time t (U) after the power battery pack is fully chargedlow) The discharge termination time after the power battery pack is fully charged is set; u shapehighIs the initial voltage, U, of the power battery pack after being fully chargedlowThe discharge termination voltage is the discharge termination voltage after the power battery pack is fully charged; the power battery pack has a capacitance index SOHC：
Optionally, the trained health assessment model is:
in which SOHCIs the capacitance index of the power battery pack, b0Is a coefficient, b0∈(-0.5，1.2)，b1Is a coefficient, b1∈(0，2)，b2Is a coefficient, b2∈(0，0.6)，b3Is a coefficient, b3∈(0，0.2)，b4Is a coefficient, b4∈(0，0.2)，b5Is a coefficient, b5E [ one 4, -1 ∈]N is the number of executed charge and discharge cycles, n is a positive integer, n is more than or equal to 1 and less than or equal to 999, T is the temperature, T is more than or equal to minus 25 ℃ and less than or equal to 45 ℃, L is the illumination, L is more than or equal to 1000lux and less than or equal to 12000lux, v is the wind speed, v is more than or equal to 0m/s and less than or equal to 20m/s, mu is a random disturbance factor, and the value is between (0 and 1).
Optionally, the health conditions of the power battery pack are classified into four types, namely a health state, a sub-health state, a failure precursor state and a sub-health state; if the capacitance index of the power battery pack is larger than a first threshold value, indicating that the power battery pack is in a healthy state; if the capacitance index of the power battery pack is smaller than or equal to the first threshold and larger than a second threshold, the power battery pack is in a sub-health state; if the capacitance index of the power battery pack is smaller than or equal to the second threshold and larger than a third threshold, indicating that the power battery pack is in a failure precursor state; and if the capacitance index of the power battery pack is smaller than or equal to the third threshold value, indicating that the power battery pack is in a sub-health state.
Optionally, the first threshold is 0.95, the second threshold is 0.9, and the third threshold is 0.8.
Optionally, the cloud data platform is further configured to send the health condition of the power battery pack to a user monitoring terminal.
Optionally, the microclimate station includes: the device comprises a body and a meteorological element acquisition unit; the body has: the airport meteorological element acquisition unit comprises a base, a support and an installation plate, wherein the support is arranged on the base, the top end of the support is provided with the meteorological element acquisition unit, and the installation plate is connected with the base and is installed on the apron ground in the operation environment of the airport electric vehicle; and the meteorological element acquisition unit is connected with the cloud data platform through the data transmission network.
Optionally, the mounting plate comprises: first extension board and second extension board that relative interval set up, first extension board and second extension board all have: the vertical part of first L board is located the inboard of the vertical part of second L board to can dismantle the connection, the horizontal part of first L board is located the outside of the vertical part of first L board to can dismantle with the apron ground and be connected, the horizontal part of second L board is located the inboard of the vertical board of second L board, and with the connection can be dismantled to the base.
Analysis shows that compared with the prior art, the invention has the advantages and beneficial effects that:
the actual output electric quantity under the preset depth of discharge is calculated by collecting the output voltage and current of the power battery pack in real time and utilizing an integral algorithm; and comparing the power battery pack with the rated capacity of the battery pack to obtain the capacity index of the power battery pack. And then, by combining the collected environmental parameters, a machine learning model of multiple linear regression is established, the estimation of the discharge capacity of the power battery pack under different environmental conditions and the health prediction of the power battery system are realized, the health monitoring level of the power battery pack can be improved, the important value is provided for preventing the hidden danger of thermal runaway caused by the decline of the health level of the power battery pack, and the operation reliability and the safety of the airport electric vehicle can be improved.
Drawings
FIG. 1 is a schematic structural diagram of a health monitoring system of an airport electric vehicle power system provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of the output voltage variation with time (unit: second) provided by the embodiment of the present invention;
FIG. 3 is a schematic diagram of output current as a function of time (in seconds) provided by an embodiment of the present invention;
the symbols in the figures are as follows:
the system comprises a vehicle-mounted data acquisition terminal 1, a microclimate station 2, a data transmission network 3, a cloud data platform 4, an airport electric vehicle power system 5, a motor 51, a motor controller 52, a vehicle control unit 53, a battery management system 54 and a user monitoring terminal 6.
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.
Generally, the power system of the airport electric Vehicle consists of a power battery pack, a motor 51, a motor controller 52 and a Vehicle Control Unit (VCU) 53. The vehicle control unit 53 is used as a central control unit of the airport electric vehicle, and is respectively connected with the motor controller 52 and the power battery pack, and is used for collecting data to ensure the normal and stable operation of the airport electric vehicle. The motor controller 52 is connected with the motor 51 for controlling the operation of the motor 51, and the motor 51 is connected with the wheels of the airport electric vehicle for driving the wheels to rotate. The power battery package includes: a lithium Battery cell and Battery Management System (BMS) 54. The battery management system 54 is connected with the vehicle control unit 53 and also connected with the lithium battery unit, and is used for controlling the normal operation of the lithium battery unit and collecting the information of the power battery pack.
In the prior art, when the health condition of an electric vehicle is monitored, a State of Charge (SOC) mode of a power battery pack is generally adopted for monitoring. The SOC of the power battery pack is generally directly related to the open-circuit voltage, the output voltage of the battery pack is directly read from a battery management system, and the query is carried out according to an SOC calibration curve provided by a manufacturer. Under the conditions of different environmental temperatures, air pressures, illumination and the like, the power battery packs with the same charge state have large difference in electric quantity output capacity, and the power battery packs which usually display the same charge state SOC have quick discharge capacity attenuation under the condition of low temperature, so that the running of a vehicle is seriously influenced. To this end, as shown in fig. 1, an embodiment of the present invention provides a health monitoring system for an airport electric vehicle powertrain, comprising: the system comprises a vehicle-mounted data acquisition terminal 1, a microclimate station 2, a data transmission network 3 and a cloud data platform 4.
The vehicle-mounted data acquisition terminal 1 is connected with an airport electric vehicle power system and is used for acquiring power battery pack information of the airport electric vehicle power system, wherein the information comprises but is not limited to: the output current and the output voltage of the lithium battery unit (or called power battery pack), the initial discharge time and the end discharge time after full charge, the initial voltage and the end discharge voltage after full charge, the number of executed charge and discharge cycles, and the like. The vehicle-mounted data acquisition terminal 1 also acquires motor controller data, motor data and a vehicle control unit fault code. When the vehicle-mounted data acquisition terminal 1 is used, the vehicle-mounted data acquisition terminal CAN be connected with a vehicle control unit CAN bus by adopting a CAN bus so as to acquire data in a battery management system 54 connected with a vehicle control unit 53 in real time. The microclimate station 2 is arranged in the operation environment of the airport electric vehicle and used for collecting meteorological elements of the operation environment, because the operation environment of the airport electric vehicle is usually a non-sheltered hardened road surface with a large area, under the condition of high temperature, the ground temperature of the airport apron is higher, so the meteorological elements at least comprise: and (3) temperature. For effective temperature monitoring, the height of the temperature sensor is less than 1.2m, such as 0.9m, 1m, 1.1 m; when the illumination is strong, the ground temperature of the apron is also promoted to be higher. Sometimes, the power battery pack of the electric vehicle power system of a part of the airport is arranged on the top of the vehicle, and the temperature of the power battery pack is greatly influenced by illumination, so meteorological elements can also comprise the illumination. Since the operating environment of the airport electric vehicle is usually unobstructed, and the wind speed is high, the temperature of the power battery pack is also affected, so the meteorological elements may further include the wind speed, and in other embodiments, the meteorological elements may further include: air pressure, etc. The microclimate station 2 is internally provided with an embedded single chip microcomputer, a sensor component and a first communication module, collects external environment temperature and illumination data through a temperature sensor and an illumination sensor, and sends the temperature and illumination data to a cloud data platform through the first communication module, and a data sending communication protocol can be an MQTT (Message queue telemeasuring Transport protocol). The interval for transmitting data may be an interval of 180s once. The data transmission network 3 is used for providing communication connection, and may be a mobile communication network, such as 4G or 5G, in this case, the first communication module is a 4G communication module or a 5G communication module. The cloud data platform 4 is respectively connected with the vehicle-mounted data acquisition terminal 1 and the microclimate station 2 through the data transmission network 3, a trained health assessment model is stored, and the trained health assessment model obtains the health condition of the power battery pack according to the information of the power battery pack and the meteorological elements. The cloud data platform 4 is provided with a database and stores data and time sent by the vehicle-mounted data acquisition terminal 1 and the microclimate station 2 in real time. The database stores the output electric quantity of the power battery pack in the discharging process of the power battery pack each time and meteorological elements of the operating environment of the airport electric vehicle in the discharging process.
The microclimate station 2 is arranged in the operation environment of the airport electric vehicle, meteorological elements of the operation environment of the airport electric vehicle are collected, a trained health assessment model is stored in the cloud data platform, and the health condition of the power battery pack is obtained by the model according to the information of the power battery pack and the meteorological elements of the operation environment. The method realizes the health prediction of the power battery pack under different operating environments, improves the health monitoring level of the power battery pack, and has important value for preventing the hidden danger of thermal runaway caused by the reduction of the health level of the power battery pack.
The trained health assessment model may be obtained by:
an initial health assessment model is constructed, which may be a machine learning model, such as a multiple linear regression model. Obtaining a sample set comprising a plurality of data sets, each data set comprising: the electric capacity index is used for representing the health condition of the power battery pack, is the percentage of the actual output electric capacity of the power battery pack under the preset discharge depth to the rated electric capacity of the power battery pack, and can be set in different threshold ranges, so that the electric capacity index is in different health conditions. The different depths of discharge are typically represented by the initial voltage and the end-of-discharge voltage of the power cell pack after being fully charged. And training the initial health assessment model by using the sample set to obtain a converged trained health assessment model. Strong correlation variables were screened using pearson correlation coefficients prior to obtaining the sample set. The coefficients of the initial health assessment model are determined using a least squares method or the like. In order to verify the trained health assessment model, a sample set can be divided into a training set and a test set, the initial health assessment model is trained by using a training street, the trained health assessment model is verified by using the test set, verification can be performed by using a variance score, a Mean Absolute Error (MAE), a Mean Square Error (MSE) and an R2 judgment coefficient, and the trained health assessment model is obtained after verification.
The actual output electric capacity of the power battery pack is calculated by adopting a power battery pack output power integration method, namely the full-charge voltage, the discharge termination voltage, the output current and the discharge time of the power battery pack of 1 are acquired through a data acquisition terminal, and the actual output electric capacity of the power battery pack is calculated by utilizing the integration method, so that the result accuracy can be improved.
The method comprises the following specific steps: actual output capacitance C of power battery pack under preset depth of dischargeoutputComprises the following steps:
wherein, IoutputIs the output current of the power battery pack, UoutputIs the output voltage of the power battery pack, t is the working time of the power system of the airport electric vehicle, t (U)high) The initial discharge time t (U) after the power battery pack is fully chargedlow) The discharge termination time is the discharge termination time after the power battery pack is fully charged; u shapehighIs the initial voltage (or called full-charge voltage) of the fully charged power battery pack, UlowThe discharge termination voltage is the discharge termination voltage after the power battery pack is fully charged. U shapeoutputFunction of the operating time t of the power system of an electric vehicle at an airport IoutputIs a function of the operating time t of the power system of the airport electric vehicle, and is partially due to the recovery of vehicle energy under special operating conditions, IoutputMay be negative, indicating a state of charge.
The capacity index SOH of the power battery packC：
Wherein, CratedThe rated capacity of the power battery pack is obtained. Usually, the rated capacitance refers to the same discharge depth as the actual output capacitance, and can be the rated parameter of a completely new power battery pack, provided by a manufacturer or determined through initial calibration.
Full electric voltage U of power battery packhighThe rated voltage of the power battery pack and the discharge termination voltage U of the power battery packlowThe output voltage of the power battery pack when the maximum depth of discharge is reached is required according to the operation requirements of the airport electric vehicles. For a power battery pack adopting a ternary lithium ion battery, the discharge termination voltage of a single lithium battery unit is 3.3V, the total discharge termination voltage of the power battery pack is 3.3n, and n is the number of lithium battery unit strings of the power battery pack. The vehicle-mounted data acquisition terminal 1 acquires charge and discharge state data of the battery management system 54, and sends the charge and discharge state data to the cloud data platform 4 after charging is completedData characterizing the end of charge. Displaying the end of the vehicle discharge at the user monitoring terminal 6, reminding a driver of charging in time and ending the actual discharge capacity C of the power battery packoutputAnd (4) calculating.
The following examples illustrate: the power battery pack is formed by connecting 100 ternary lithium ion batteries with rated capacity of 100Ah in series, the highest rated voltage of the power battery pack is 420V, and the lowest rated voltage of the power battery pack is 300V. In the actual operation of the airport electric vehicle, the discharge termination voltage is set to 320V in consideration of the reliability of operation guarantee, the vehicle-mounted data acquisition terminal 1 acquires the 320V output voltage, namely, the user monitoring terminal 6 prompts the service termination and charges as soon as possible. In this embodiment: u shapehigh＝420；Ulow＝320，
According to
And calculating to obtain the actual output capacitance of the power battery pack from full charge of 420v to 320v, wherein the calculation can be completed by a cloud data server deployed on the cloud data platform 4.
In practical applications, as the number of cycles (or called charge/discharge cycles) of the power battery pack increases, the full-charge voltage deviates from the rated maximum voltage. After each charging is finished, the cloud data platform 4 receives identification data used for representing charging completion of the battery management system, and the U is used forhighThe actual highest output voltage at that time; u shapelowThe discharge termination voltage set for the user is 320V in this embodiment. Requiring that the airport electric vehicle reaches the full-charge state of the power battery pack and the discharge termination voltage U of the power battery packlowThe output voltage of the power battery pack is 320V when the maximum depth of discharge is reached according to the operation requirement of the airport electric vehicle.
self-U of airport electric vehicle for completing power battery packhighTo UlowAfter a discharging process, calculating by the cloud data platform 4 to obtain the actual discharging quantity CoutputThen, the power battery pack capacity index can be further obtained as follows:
the trained health assessment model was:
in which SOHCIs the capacitance index of the power battery pack, b0Is a coefficient, b0∈(-0.5，1.2)，b1Is a coefficient, b1∈(0，2)，b2Is a coefficient, b2∈(0，0.6)，b3Is a coefficient, b3∈(0，0.2)，b4Is a coefficient, b4∈(0，0.2)，b5Is a coefficient, b5∈[-4，-1]N is the number of executed charge and discharge cycles, n is a positive integer, n is more than or equal to 1 and less than or equal to 999, T is the temperature, T is more than or equal to minus 25 ℃ and less than or equal to 45 ℃, L is the illumination, L is more than or equal to 1000lux and less than or equal to 12000lux, v is the wind speed, v is more than or equal to 0m/s and less than or equal to 20m/s, mu is a random disturbance factor, and the value is between (0 and 1).
The health conditions of the power battery pack can be divided into four types, which are sequentially as follows: a healthy state, a sub-healthy state, a pre-failure state, and a sub-healthy state;
if the capacitance index of the power battery pack is larger than the first threshold value, the power battery pack is in a healthy state; if the capacitance index of the power battery pack is smaller than or equal to the first threshold and larger than the second threshold, the power battery pack is in a sub-health state; if the capacitance index of the power battery pack is smaller than or equal to the second threshold and larger than the third threshold, the power battery pack is in a failure precursor state; and if the capacitance index of the power battery pack is less than or equal to the third threshold value, the power battery pack is in a sub-health state. Preferably, the first threshold may be 0.95, the second threshold may be 0.9, and the third threshold may be 0.8, that is: when SOHCIf the current value is more than 0.95, the power battery pack is in a healthy state; when 0.9 < SOHCWhen the temperature is less than or equal to 0.95, the power battery pack is in a sub-health state; when SOH is more than 0.80CWhen the current value is less than or equal to 0.9, the power battery pack is in a failure precursor state; when SOHCAnd when the current value is less than or equal to 0.8, the power battery pack is in a failure state.
The cloud data platform 4 is further configured to send the health condition of the power battery pack to the user monitoring terminal 6 so that the user monitoring terminal 6 can timely grasp the health condition of the power battery pack, and when the health condition is in a failure state, the power battery pack is processed, for example, an airport electric vehicle equipped with the power battery pack is temporarily stopped or a new power battery pack is replaced, so that the airport electric vehicle is ensured to complete an operation task.
The actual output electric quantity under the preset depth of discharge is calculated by collecting the output voltage and current of the power battery pack in real time and utilizing an integral algorithm; and comparing the power battery pack with the rated capacity of the battery pack to obtain the capacity index of the power battery pack. And then, by combining the collected environmental parameters, a machine learning model of multiple linear regression is established, the estimation of the discharge capacity of the power battery pack under different environmental conditions and the health prediction of the power battery system are realized, the health monitoring level of the power battery pack can be improved, the important value is provided for preventing the hidden danger of thermal runaway caused by the decline of the health level of the power battery pack, and the operation reliability and the safety of the airport electric vehicle can be improved.
Because the airport apron belongs to special operation ground, in order to make the microclimate station accord with airport requirement, the microclimate station includes: the body and meteorological element collection unit. The body includes base, support and mounting panel. The base is used for providing support. The support sets up on the base, and its top sets up meteorological element collection unit. The stent is preferably hollow tubular. The material of the stent is preferably a brittle material, such as a carbon fiber tube. The mounting plate is connected with the base and used for being mounted on the ground of the airport apron in the running environment of the airport electric vehicle, so that the microclimate station is stably arranged on the ground of the airport apron. In order to enable the microclimate station to be easily bent after being collided by an airplane. The mounting panel includes first extension board and the second extension board that relative interval set up, and each extension board all has: a first L-plate and a second L-plate. The vertical portion of first L board is located the inboard of the vertical portion of second L board to can dismantle the connection, like bolted connection, the horizontal part of first L board is located the outside of the vertical portion of first L board, it can dismantle with the terrace ground and be connected, like bolted connection, the horizontal part of second L board is located the inboard of the vertical board of second L board, it can dismantle with the base and be connected, like bolted connection, at this moment, the base erects on the horizontal part of the second L board of two extension boards, can also further with the vertical board butt of first L board, so make the mounting panel be the components of a whole that can function independently structure, first L board and second L board connect into the Z type, easy atress takes place to buckle when improving stable support.
The mounting plate may further include: the third support plate, the first support plate, the fourth support plate and the second support plate are oppositely arranged and form a ring. The third extension board and the fourth extension board are both L-shaped, the vertical part of the extension board is abutted to the ground of the apron, the horizontal part of the extension board is positioned below the horizontal part of the second L board and is detachably connected with the base, for example, the extension board is connected with a bolt, so that the base is spaced from the third extension board and the fourth extension board, stable support is further improved, and the extension board is easy to bend under stress. It should be noted that, when the bolt is used for connection, the number of the bolt holes may be two, and the two bolt holes are respectively arranged at two ends of the corresponding component, such as two ends in the length direction.
The horizontal part of second L board can also pass through welded connection with the base, sets up a plurality of solder joints along the length direction interval of the horizontal part of second L board, and the solder joint is discontinuous promptly, so can improve the joint strength of second L board and base, can also easily bend under receiving aircraft exogenic action. The number of solder points may be three, for example: two ends of the horizontal part of the second L plate in the length direction are respectively provided with one, and the middle of the horizontal part is provided with one.
Meteorological element acquisition unit passes through data transmission network with cloud data platform and is connected, and it includes: a battery, a weather sensor, and a first communication module. The cell is preferably a solar cell. The meteorological sensor at least comprises a temperature sensor, and can also comprise one or two of an illumination sensor and a wind speed sensor. The second communication module is connected with the cloud data platform through a data transmission network. When the data transmission network 3 is a mobile communication network, such as 4G or 5G, the first communication module is a 4G communication module or a 5G communication module.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A health monitoring system for an airport electric vehicle powertrain, comprising: the system comprises a vehicle-mounted data acquisition terminal, a microclimate station, a data transmission network and a cloud data platform;
the vehicle-mounted data acquisition terminal is connected with the airport electric vehicle power system and is used for acquiring the information of a power battery pack of the airport electric vehicle power system;
the microclimate station is arranged in the operating environment of the airport electric vehicle and used for collecting meteorological elements of the operating environment;
the cloud data platform is respectively connected with the vehicle-mounted data acquisition terminal and the microclimate station through a data transmission network, a trained health assessment model is stored, and the trained health assessment model obtains the health condition of the power battery pack according to the power battery pack information of the airport electric vehicle power system and the meteorological elements of the operating environment.
2. The health monitoring system as in claim 1, wherein the meteorological elements comprise: (ii) temperature; or
Temperature, wind speed, and/or light;
the power battery pack information comprises: the number of charge and discharge cycles that have been performed.
3. The health monitoring system of claim 1,
constructing an initial health assessment model;
obtaining a sample set, the sample set comprising a plurality of data sets, each data set comprising: the capacity index of the power battery pack, the number of executed charge and discharge cycles and meteorological elements of the operating environment;
training the initial health assessment model by using the sample set to obtain a trained health assessment model;
the capacitance index of the power battery pack is used for representing the health condition and is the percentage of the actual output capacitance of the power battery pack under the preset depth of discharge to the rated capacitance of the power battery pack.
4. The health monitoring system as in claim 3, wherein the actual output capacity C of the power battery pack at the predetermined depth of dischargeoutputComprises the following steps:
wherein, IoutputIs the output current of the power battery pack, UoutputIs the output voltage of the power battery pack, t is the working time of the airport electric vehicle power system, t (U)high) The initial discharge time t (U) after the power battery pack is fully chargedlow) The discharge termination time after the power battery pack is fully charged is set; u shapehighIs the initial voltage, U, of the power battery pack after being fully chargedlowThe discharge termination voltage is the discharge termination voltage after the power battery pack is fully charged;
the power battery pack has a capacitance index SOHC：
Wherein, CratedThe rated capacity of the power battery pack is obtained.
5. The health monitoring system of claim 1, wherein the trained health assessment model is:
in which SOHCIs the capacitance index of the power battery pack, b0Is a coefficient, b0∈(-0.5,1.2)，b1Is a coefficient, b1∈(0,2)，b2Is a coefficient, b2∈(0,0.6)，b3Is a coefficient, b3∈(0,0.2)，b4Is a coefficient, b4∈(0,0.2)，b5Is a coefficient, b5∈[-4,-1]N is the number of executed charge-discharge cycles, n is a positive integer, n is more than or equal to 1 and less than or equal to 999, T is the temperature, T is more than or equal to minus 25 ℃ and less than or equal to 45 ℃, L is the illumination, L is more than or equal to 1000lux and less than or equal to 12000lux, v is the wind speed, v is more than or equal to 0m/s and less than or equal to 20m/s, and mu is a random disturbance factor.
6. The health monitoring system as in claim 1, wherein the health status of the power battery pack is classified into four categories, in order health status, sub-health status, pre-failure status, and sub-health status;
if the capacitance index of the power battery pack is larger than a first threshold value, indicating that the power battery pack is in a healthy state;
if the capacitance index of the power battery pack is smaller than or equal to the first threshold and larger than a second threshold, the power battery pack is in a sub-health state;
if the capacitance index of the power battery pack is smaller than or equal to the second threshold and larger than a third threshold, indicating that the power battery pack is in a failure precursor state;
and if the capacitance index of the power battery pack is smaller than or equal to the third threshold value, indicating that the power battery pack is in a sub-health state.
7. The health monitoring system as in claim 6, wherein the first threshold is 0.95, the second threshold is 0.9, and the third threshold is 0.8.
8. The health monitoring system as in claim 1, wherein the cloud data platform is further configured to send the health status of the power battery pack to a user monitoring terminal.
9. The health monitoring system as in claim 1, wherein the microclimate station comprises: the device comprises a body and a meteorological element acquisition unit;
the body has: the airport meteorological element acquisition unit comprises a base, a support and an installation plate, wherein the support is arranged on the base, the top end of the support is provided with the meteorological element acquisition unit, and the installation plate is connected with the base and is installed on the apron ground in the operation environment of the airport electric vehicle;
and the meteorological element acquisition unit is connected with the cloud data platform through the data transmission network.
10. The health monitoring system as in claim 9, wherein the mounting plate includes: first extension board and second extension board that relative interval set up, first extension board and second extension board all have: the vertical part of first L board is located the inboard of the vertical part of second L board to can dismantle the connection, the horizontal part of first L board is located the outside of the vertical part of first L board to can dismantle with the apron ground and be connected, the horizontal part of second L board is located the inboard of the vertical board of second L board, and with the connection can be dismantled to the base.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113764749A (en) * | 2021-08-31 | 2021-12-07 | 东风商用车有限公司 | Power management method and system for vehicle-mounted storage battery |
| CN114325406A (en) * | 2021-12-30 | 2022-04-12 | 重庆长安新能源汽车科技有限公司 | Method and system for predicting thermal runaway of battery based on machine learning thinking |
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2021
- 2021-03-05 CN CN202110247272.1A patent/CN112946486A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113764749A (en) * | 2021-08-31 | 2021-12-07 | 东风商用车有限公司 | Power management method and system for vehicle-mounted storage battery |
| CN114325406A (en) * | 2021-12-30 | 2022-04-12 | 重庆长安新能源汽车科技有限公司 | Method and system for predicting thermal runaway of battery based on machine learning thinking |
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