CN117748019B - Storage battery temperature monitoring management system - Google Patents
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Abstract
The application provides a storage battery temperature monitoring and managing system, which relates to a storage battery and comprises: the acquisition module is used for acquiring storage battery monitoring data and environmental temperature, the judging module is used for judging whether the running state of the storage battery is a uniform charging state or a floating charging state according to the storage battery monitoring data, the calculating module is used for calculating first temperature data of the storage battery according to multi-point temperature data self-adaptive weighting in the storage battery monitoring data, the battery monitoring module is used for carrying out feature fusion analysis prediction on the storage battery running state, the environmental temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is in a second preset temperature range, and the temperature compensation module is used for carrying out temperature compensation on the storage battery, so that the phenomenon of overtemperature of the storage battery in the charging process is effectively prevented, the influence of the environmental temperature on the storage battery is considered, and the safe running of the storage battery is ensured.
Description
Technical Field
The application relates to the technical field of storage batteries, in particular to a storage battery temperature monitoring and management system.
Background
The temperature of the battery is one of the important indicators of its performance and life. In the process of charging the storage battery, the increase of the temperature can lead to the increase of the electrochemical reaction rate, thereby affecting the performance and the service life of the storage battery, the excessive temperature can lead to the chemical reaction in the storage battery to be out of control, cause serious safety problems such as thermal runaway, combustion and even explosion, and the like, and in addition, the performance and the available energy of the storage battery can be reduced due to the excessive low temperature.
Therefore, the battery temperature monitoring management technology aims to monitor the temperature of the battery in real time and take necessary measures to keep the battery operating within a safe temperature range, thereby ensuring the safety, stability and reliability of the battery.
Disclosure of Invention
The invention provides a storage battery temperature monitoring and managing system which is used for preventing the storage battery from generating over-temperature during charging.
The invention adopts the following technical scheme:
a battery temperature monitoring management system comprising:
the acquisition module is used for acquiring storage battery monitoring data and environmental temperature;
The judging module is used for judging whether the running state of the storage battery is a uniform charge state or a floating charge state according to the storage battery monitoring data;
The calculation module is used for adaptively weighting and calculating first temperature data of the storage battery according to the multipoint temperature data in the storage battery monitoring data;
The battery monitoring module is used for carrying out characteristic fusion analysis prediction on the running state of the storage battery, the ambient temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, and carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is within a second preset temperature range;
and the temperature compensation module is used for carrying out corresponding temperature compensation on the storage battery according to the running state of the storage battery when the second temperature data exceeds a second preset temperature range.
In one possible design, the acquisition module includes a battery monitoring data acquisition module and an ambient temperature acquisition module;
The storage battery monitoring data acquisition module is used for acquiring current data, voltage data, internal resistance data, multipoint temperature data and time data; the multipoint temperature data comprises positive pole temperature data, negative pole temperature data, surface temperature data, internal temperature data and thermistor temperature data;
The environment temperature acquisition module is used for acquiring the external environment temperature.
In one possible design, the judging module includes a voltage judging module and a current judging module;
the voltage judging module is used for judging the running state of the storage battery according to the voltage data in the storage battery monitoring data, judging the running state of the storage battery to be a floating charge state when the voltage data of the storage battery exceeds a preset voltage threshold value, and judging the running state of the storage battery to be a uniform charge state when the voltage data of the storage battery does not exceed the preset voltage threshold value;
the current judging module is used for judging the running state of the storage battery according to the current data in the storage battery monitoring data, judging that the running state of the storage battery is a floating charge state when the current data of the storage battery is lower than a preset current threshold value, and judging that the running state of the storage battery is a uniform charge state when the voltage data of the storage battery is not lower than the preset current threshold value.
In one possible design, the computing module includes,
Calculating the average temperature of the multipoint temperature data in the storage battery monitoring data;
Calculating a temperature difference between the multi-point temperature data and the average temperature;
Normalizing the temperature difference between the multipoint temperature data and the average temperature, and calculating the weight of the multipoint temperature data;
and weighting the multipoint temperature data in the storage battery monitoring data according to the weight of the multipoint temperature data, and calculating the first temperature data of the storage battery.
In one possible design, the battery monitoring module includes an overtemperature prediction module and an early warning module;
the overtemperature prediction module is used for predicting second temperature data of the storage battery at the next moment;
the early warning module is used for carrying out early warning display when the storage battery is overtemperature.
Optionally, the over-temperature prediction module comprises a data preparation module, a feature extraction module, a long-period and short-period memory module, a feature fusion module and a prediction module;
The preparation module is used for preprocessing the running state of the storage battery, the ambient temperature and the first temperature data to obtain the preprocessing data of the overtemperature prediction model;
The characteristic extraction module is used for extracting temperature state characteristics of the storage battery from the pre-processing data of the over-temperature prediction model;
the long-term and short-term memory module is used for extracting temperature time sequence characteristics of the storage battery from the pre-processing data of the over-temperature prediction model;
the characteristic fusion module is used for fusing the temperature state characteristic and the temperature time sequence characteristic;
optionally, a first preset temperature range and a second preset temperature range are set in the battery monitoring module;
the first preset temperature range and the second preset temperature range can be set differently according to different running states of the battery;
the first preset temperature range is within the second preset temperature range;
the upper limit of the first preset temperature range is smaller than the upper limit of the second preset temperature range, and the lower limit of the first preset temperature range is larger than the lower limit of the second preset temperature range.
Optionally, the early warning module includes a display interface;
The display interface comprises the running state of the storage battery, second temperature data, alarm information, historical fault information and abnormal time monitoring information;
the alarm information comprises a difference between the second temperature data and a second preset temperature range, when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is smaller than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the lower limit temperature in the second preset temperature range is displayed, and when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is larger than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the upper limit temperature in the second preset temperature range is displayed;
The historical fault information comprises the time of occurrence of the historical fault of the storage battery and the reason of occurrence of the historical fault;
The abnormal time monitoring information starts to count when the second temperature data of the storage battery exceeds the first preset temperature range, when the abnormal time monitoring information exceeds the preset abnormal time, the power supply is cut off and counted down for 3 minutes, the power supply of the storage battery is cut off when an instruction is not received within 3 minutes, and when the second temperature data of the storage battery is recovered to be normal, the abnormal time monitoring information carries out zero clearing operation.
In one possible design, the temperature compensation module includes a float temperature compensation module;
when the running state of the storage battery is a floating charge state, calculating a correction voltage according to a preset reference voltage, a preset temperature coefficient, second temperature data and a preset reference temperature;
The charging voltage of the storage battery is adjusted according to the correction voltage, and the charging rate during which the charging voltage is changed to the correction voltage is set according to the temperature change rate of the first temperature data of the storage battery.
In one possible design, the temperature compensation module further includes a homogeneous charge temperature compensation module;
when the running state of the storage battery is the uniform charging state, calculating a correction current according to a preset reference current, a preset temperature coefficient, second temperature data and a preset reference temperature;
and adjusting the charging current of the storage battery according to the correction current, and setting the charging rate during the period from the charging current to the correction current according to the temperature change rate of the first temperature data of the storage battery.
The invention provides a storage battery temperature monitoring and managing system, which comprises: the acquisition module is used for acquiring storage battery monitoring data and environmental temperature, the judging module is used for judging whether the running state of the storage battery is a uniform charging state or a floating charging state according to the storage battery monitoring data, the calculating module is used for carrying out self-adaptive weighted calculation on first temperature data of the storage battery according to multi-point temperature data in the storage battery monitoring data, the battery monitoring module is used for carrying out characteristic fusion analysis prediction on the running state of the storage battery, the environmental temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is in a second preset temperature range, and the temperature compensation module is used for carrying out corresponding temperature compensation on the storage battery according to the running state of the storage battery when the second temperature data exceeds a second preset temperature range. That is, the acquisition module can acquire the monitoring data of the storage battery and the ambient temperature, a comprehensive data basis is provided, the system can accurately monitor and analyze the state of the storage battery, the judgment module can accurately judge the running state of the storage battery according to the monitoring data of the storage battery, including the floating charge state and the uniform charge state, an accurate basis is provided for the subsequent temperature control, the calculation module utilizes the multi-point temperature data in the monitoring data of the storage battery, the first temperature data of the storage battery is obtained through calculation, the accurate assessment of the internal temperature of the storage battery is provided, the battery monitoring module analyzes and predicts the running state of the storage battery, the ambient temperature and the first temperature data, the second temperature data is output, and early warning display is carried out according to the second temperature data, the temperature state of the storage battery is timely reminded to be used for making protection measures, the temperature compensation is carried out on the storage battery according to the second temperature data exceeding the preset range, the storage battery is prevented from being damaged by overhigh temperature, the comprehensive data acquisition, the accurate running state judgment, the accurate temperature calculation, the prediction and the early warning function and the temperature compensation protection are effectively prevented, the phenomenon that the storage battery is overtemperature is generated in the charging process, the performance of the storage battery is improved, the safety of the system is ensured, and the running safety of the system is ensured.
It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
The above and other features, advantages and aspects of embodiments of the present invention will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, the same or similar reference numerals denote the same or similar elements.
FIG. 1 is a block diagram of a battery temperature monitoring management system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a battery temperature monitoring management system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an over-temperature prediction model according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an early warning display interface according to an embodiment of the present invention;
fig. 5 is a flowchart of battery temperature compensation according to an embodiment of the present invention.
Detailed Description
In order to enable a person skilled in the art to better understand the technical solutions in one or more embodiments of the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one or more embodiments of the present disclosure without inventive faculty, are intended to be within the scope of the present disclosure.
It should be noted that, the description of the embodiment of the present invention is only for the purpose of more clearly describing the technical solution of the embodiment of the present invention, and does not constitute a limitation on the technical solution provided by the embodiment of the present invention.
An embodiment of the invention provides a battery temperature monitoring and managing system, fig. 1 is a structural diagram of the battery temperature monitoring and managing system according to the embodiment of the invention, and fig. 2 is a flow chart of the battery temperature monitoring and managing system according to the embodiment of the invention. Referring to fig. 1 and 2, the system includes:
the acquisition module is used for acquiring storage battery monitoring data and environmental temperature;
The judging module is used for judging whether the running state of the storage battery is a uniform charge state or a floating charge state according to the storage battery monitoring data;
The calculation module is used for adaptively weighting and calculating first temperature data of the storage battery according to the multipoint temperature data in the storage battery monitoring data;
The battery monitoring module is used for carrying out characteristic fusion analysis prediction on the running state of the storage battery, the ambient temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, and carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is within a second preset temperature range;
and the temperature compensation module is used for carrying out corresponding temperature compensation on the storage battery according to the running state of the storage battery when the second temperature data exceeds a second preset temperature range.
And whether the storage battery is overtemperature or not is judged by utilizing second temperature data of the next moment of the storage battery, so that the temperature compensation operation of the storage battery is facilitated to be timely carried out before the overtemperature of the storage battery, the overtemperature phenomenon of the storage battery is prevented in advance, and disasters are effectively avoided.
In the embodiment, through comprehensive data acquisition, accurate running state judgment, accurate temperature calculation, prediction and early warning functions and temperature compensation protection, the monitoring and management of the temperature of the storage battery are realized, the over-temperature phenomenon of the storage battery is effectively prevented, and the safety is improved.
Optionally, the acquisition module comprises a storage battery monitoring data acquisition module and an ambient temperature acquisition module;
The storage battery monitoring data acquisition module is used for acquiring current data, voltage data, internal resistance data, multipoint temperature data and time data; the multipoint temperature data comprises positive pole temperature data, negative pole temperature data, surface temperature data, internal temperature data and thermistor temperature data;
The environment temperature acquisition module is used for acquiring the external environment temperature.
The time data acquisition mode comprises, but is not limited to, a real-time clock module and a time stamp, and the environment temperature acquisition mode comprises, but is not limited to, an environment temperature sensor and an environment temperature measurement module.
In this embodiment, the state and the environmental condition of the storage battery can be known in time by acquiring real-time monitoring data, so that the storage battery is further analyzed and controlled.
Optionally, the judging module comprises a voltage judging module and a current judging module;
the voltage judging module is used for judging the running state of the storage battery according to the voltage data in the storage battery monitoring data, judging the running state of the storage battery to be a floating charge state when the voltage data of the storage battery exceeds a preset voltage threshold value, and judging the running state of the storage battery to be a uniform charge state when the voltage data of the storage battery does not exceed the preset voltage threshold value;
the current judging module is used for judging the running state of the storage battery according to the current data in the storage battery monitoring data, judging that the running state of the storage battery is a floating charge state when the current data of the storage battery is lower than a preset current threshold value, and judging that the running state of the storage battery is a uniform charge state when the voltage data of the storage battery is not lower than the preset current threshold value.
For example, the preset voltage threshold is 13.8V, and the voltage data of the storage battery is 14.2V, and the storage battery is determined to be in a floating charge state according to the voltage determination module.
For example, the preset current threshold is set to be 2A, the actual current of the storage battery is set to be 1.5A, and the storage battery is determined to be in a floating charge state according to the current determination module.
The current judging module and the voltage judging module are used for judging that the running state of the storage battery is a floating charge state only if one of the current judging module and the voltage judging module is used for judging that the running state of the storage battery is the floating charge state.
In the embodiment, through real-time monitoring and judging of the voltage and current data of the storage battery, the running state of the storage battery can be accurately judged, and effective storage battery management and protection are provided.
Optionally, the computing module includes,
Calculating the average temperature of the multipoint temperature data in the storage battery monitoring data;
Calculating a temperature difference between the multi-point temperature data and the average temperature;
Normalizing the temperature difference between the multipoint temperature data and the average temperature, and calculating the weight of the multipoint temperature data;
and weighting the multipoint temperature data in the storage battery monitoring data according to the weight of the multipoint temperature data, and calculating the first temperature data of the storage battery.
Firstly, calculating average temperature of multi-point temperature data in storage battery monitoring data, for example, temperature monitoring points comprise A, B, C monitoring points, the temperature of the monitoring point A is 25 ℃, the temperature of the monitoring point B is 26 ℃, and the temperature of the monitoring point C is as follows: 27 ℃, then the average temperature= (temperature of temperature sensor 1 + temperature of temperature sensor 2 +..+ temperature of temperature sensor n)/n=26 ℃, then, calculating the temperature difference between the multipoint temperature data and the average temperature, and obtaining the temperature difference between the multipoint temperature data and the average temperature to be-1 ℃,0 ℃,1 ℃, and secondly, performing normalization operation on the temperature difference between the multipoint temperature data and the average temperature, wherein the calculation formula can be: normalized temperature difference= (temperature difference-minimum temperature difference)/(maximum temperature difference-minimum temperature difference), the normalized values of the normalized multipoint temperature data can be obtained as follows in order: the normalized value of the monitoring point A is 0, the normalized value of the monitoring point B is 0.5, the normalized value of the monitoring point C is 1, and then the weight=1-normalized temperature difference of the multi-point data can be obtained, wherein the normalized value of the monitoring point A is 1, the normalized value of the monitoring point B is 0.5, and the normalized value of the monitoring point C is 0. Finally, the multi-point temperature data is weighted and averaged according to the weight, and the temperature value of each monitoring point is multiplied by the importance score corresponding to the temperature value: weighted temperature of monitoring point a = 25 ℃.1 = 25 ℃; the weighted temperature of the monitoring point b=26 ℃ +0.5=15 ℃, the weighted temperature of the monitoring point c=27 ℃ +0=0 ℃, and then the weighted temperature values are added to obtain the first temperature data of the storage battery, so that the first temperature data=the weighted temperature of the point a+the weighted temperature of the point b+the weighted temperature of the point c=25 ℃ +13 ℃ +0 ℃ =38 ℃, and the first temperature data is 38 ℃.
In this embodiment, by calculating the difference between the multipoint temperature data and the average temperature, the weight corresponding to each temperature data in the multipoint temperature data is calculated adaptively, and the temperature difference of each sensor is quantified by normalization and weight calculation, so that the contribution degree of different temperature data to the first temperature data can be reflected more accurately, the overall temperature state of the storage battery system can be reflected better, and the temperature state of the storage battery can be known more comprehensively and accurately. The weight of each multi-point temperature data and the multi-point temperature data are reasonably integrated through weighted calculation, so that more accurate first temperature data of the storage battery are obtained, more comprehensive, accurate and real-time temperature monitoring and early warning capability is provided, and the safety and performance stability of a storage battery system are ensured.
Optionally, the battery monitoring module comprises an overtemperature prediction module and an early warning module;
the overtemperature prediction module is used for predicting second temperature data of the storage battery at the next moment;
the early warning module is used for carrying out early warning display when the storage battery is overtemperature.
In this embodiment, the temperature prediction module may predict the temperature of the storage battery at the next moment through the algorithm model according to the current temperature data and other relevant parameters, and the early warning module may perform early warning display in time according to the detected overtemperature condition of the battery, so as to protect the safety of the storage battery and improve the reliability of the whole system.
Optionally, the over-temperature prediction module comprises a data preparation module, a feature extraction module, a long-period and short-period memory module, a feature fusion module and a prediction module;
The preparation module is used for preprocessing the running state of the storage battery, the ambient temperature and the first temperature data to obtain the preprocessing data of the overtemperature prediction model;
The characteristic extraction module is used for extracting temperature state characteristics of the storage battery from the pre-processing data of the over-temperature prediction model;
the long-term and short-term memory module is used for extracting temperature time sequence characteristics of the storage battery from the pre-processing data of the over-temperature prediction model;
the characteristic fusion module is used for fusing the temperature state characteristic and the temperature time sequence characteristic;
Since high ambient temperature increases the risk of overtemperature of the battery, heat dissipation capability, charging characteristics, and internal temperature distribution of the battery are affected. In a floating charge state, the high ambient temperature can cause the temperature around the storage battery to rise, so that the temperature is conducted to the surface and the inside of the storage battery, and the heat dissipation burden of the storage battery is increased; in the homogeneous charge state, high ambient temperatures may change the charging characteristics of the battery, for example, increasing internal resistance or decreasing capacity, may cause more heat to be generated during charging, increasing the risk of overtemperature. Therefore, the influence of the external ambient temperature is taken into account in the over-temperature prediction model.
Fig. 3 is a schematic structural diagram of an over-temperature prediction module according to an embodiment of the invention, as shown in fig. 3:
the overtemperature prediction module comprises a data preparation module, a feature extraction module, a long-period and short-period memory module, a feature fusion module and a prediction module.
Firstly, the data preparation module is used for preprocessing the running state, the ambient temperature and the first temperature data of the storage battery to obtain preprocessed data required by the overtemperature prediction model, secondly, the characteristic extraction module is used for extracting the temperature characteristics of the storage battery from the preprocessed data, including but not limited to the current temperature, the temperature change rate, the highest temperature, the lowest temperature and the external ambient temperature, the long-short-period memory module is used for extracting the time sequence characteristics of the storage battery from the preprocessed data by using a long-short-period memory neural network (LSTM), wherein the long-short-period memory neural network (LSTM) is a circulating neural network suitable for processing sequence data, can capture long-term dependency in a time sequence, can extract the time sequence characteristics of the temperature change of the storage battery according to the time sequence change of the temperature of the storage battery in the overtemperature prediction model, then the characteristic fusion module is used for fusing the temperature characteristics and the time sequence characteristics to obtain the temperature data of the storage battery containing the temperature characteristics and the time sequence characteristics, and finally, the prediction module is used for outputting the second temperature data of the next time of the storage battery to obtain the next time temperature data of the storage battery, so that better protection and control are carried out on the storage battery.
In this embodiment, the overtemperature prediction module combines the running state, the ambient temperature and the historical temperature data of the storage battery, comprehensively considers the influence of a plurality of factors on the temperature of the storage battery, captures the mode and trend of the temperature change of the storage battery along with time by using the long-short-period memory module, thereby better predicting the future temperature change, and fully utilizes the information of different characteristics by fusing the temperature characteristics and the time sequence characteristics by the characteristic fusion enhancement model, so as to improve the prediction performance of the overtemperature prediction module.
Optionally, a first preset temperature range and a second preset temperature range are set in the battery monitoring module;
the first preset temperature range and the second preset temperature range can be set differently according to different running states of the battery;
the first preset temperature range is within the second preset temperature range;
the upper limit of the first preset temperature range is smaller than the upper limit of the second preset temperature range, and the lower limit of the first preset temperature range is larger than the lower limit of the second preset temperature range.
The first preset temperature range and the second preset temperature range of the storage battery in the floating charge state and the uniform charge state can be set differently so as to adapt to the temperature change of the storage battery in different running states.
In this embodiment, the first preset temperature range and the second preset temperature range are set in the early warning module, and judgment and early warning are performed according to the second temperature data of the storage battery, so that the multi-stage early warning and control functions are realized by setting two different temperature ranges.
Optionally, the early warning module includes a display interface;
The display interface comprises the running state of the storage battery, second temperature data, alarm information, historical fault information and abnormal time monitoring information;
the alarm information comprises a difference between the second temperature data and a second preset temperature range, when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is smaller than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the lower limit temperature in the second preset temperature range is displayed, and when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is larger than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the upper limit temperature in the second preset temperature range is displayed;
The historical fault information comprises the time of occurrence of the historical fault of the storage battery and the reason of occurrence of the historical fault;
The abnormal time monitoring information starts to count when the second temperature data of the storage battery exceeds the first preset temperature range, when the abnormal time monitoring information exceeds the preset abnormal time, the power supply is cut off and counted down for 3 minutes, the power supply of the storage battery is cut off when an instruction is not received within 3 minutes, and when the second temperature data of the storage battery is recovered to be normal, the abnormal time monitoring information carries out zero clearing operation.
When the abnormal time monitoring information exceeds the preset abnormal time, the system does not receive an instruction within 3 minutes, and the power supply of the storage battery is cut off, so that potential risks possibly caused by continuous operation are avoided, the degree of automation of the system is improved, the possibility of human errors is reduced, and potential safety risks and equipment damage are avoided.
Fig. 4 is a schematic structural diagram of an early warning display interface according to an embodiment of the present invention, as shown in fig. 4.
The display interface comprises a storage battery running state, second temperature data, alarm information, historical fault information and abnormal time monitoring information, wherein the storage battery running state is used for displaying the state of the storage battery and comprises a floating state and a uniform charging state, the second temperature data is second temperature data of the storage battery at the next moment, which is obtained through an over-temperature prediction module, so that a technician can know in time, the alarm information is used for displaying the difference between the second temperature data of the storage battery at the over-temperature and a second preset temperature range, the difference between the second temperature data and the nearest upper limit or lower limit in the second preset temperature range is taken for displaying, the historical fault information is used for displaying the time of the historical fault occurrence of the storage battery and the reason of the historical fault occurrence of the storage battery, the technician can conveniently analyze and make a more proper decision by combining with the historical situation, the abnormal time monitoring information is used for monitoring the abnormal time of the storage battery when the storage battery generates an over-temperature alarm, and the abnormal state of the storage battery is limited in a certain time, so that the abnormal state of the storage battery can be prevented from generating more damage at a certain moment due to the weak abnormal condition for a long time.
In this embodiment, the display interface integrates various data and information, so that a technician can know the state and the operation condition of the storage battery system in time and comprehensively understand all aspects of the storage battery system, thereby better performing management and decision making.
Optionally, the temperature compensation module comprises a float temperature compensation module;
when the running state of the storage battery is a floating charge state, calculating a correction voltage according to a preset reference voltage, a preset temperature coefficient, second temperature data and a preset reference temperature;
The charging voltage of the storage battery is adjusted according to the correction voltage, and the charging rate during which the charging voltage is changed to the correction voltage is set according to the temperature change rate of the first temperature data of the storage battery.
The formula may be expressed as:
Vcomp＝Vref+KtV*(T-Tref)
Wherein Vcomp is the corrected battery charge voltage, vref is the reference voltage, typically the charge voltage at standard temperature, ktV is the temperature coefficient, representing the rate of change of voltage with temperature, T is the current temperature, tref is the reference temperature, typically the temperature at standard temperature. For example, in the floating state of the battery, the preset reference voltage Vref is 12V, the preset temperature coefficient KtV is 0.02V/°c, the second temperature data T is 25 ℃, the preset reference temperature Tref is 20 ℃, and the corrected charging voltage of the battery is 13.2V after substituting vcomp=vref+kt (T-Tref).
In addition, the charging rate during the period when the charging voltage is changed to the correction voltage is adjusted according to the temperature change rate of the first temperature data of the storage battery, and the calculation formula of the temperature change rate may be: temperature change rate= (current temperature-last time temperature)/time interval, for example, assuming that the last time first temperature data is measured as T1 ℃, the current first temperature data is measured as T2 ℃, and the time interval is Δt minutes, the temperature change rate= (T2-T1)/Δt is typically a unit of temperature divided by a unit of time, such as ℃/minute or ℃/second. And the calculation formula of the charge rate of the storage battery can be: the charge rate adjustment amount=temperature change rate coefficient, where the coefficient is used to control the degree of influence of the temperature change rate on the charge rate, and may be set according to the actual situation, and by multiplying the temperature change rate by the coefficient, an adjustment amount of the charge rate may be obtained, a positive value indicates that the charge rate needs to be reduced, a negative value indicates that the charge rate needs to be increased, and an initial charge rate of the battery is added to the adjustment amount, so that the charge rate during the period when the charge voltage of the battery changes from the charge voltage to the correction voltage may be obtained.
In this embodiment, by calculating the correction voltage according to the actual temperature data, the charging voltage of the storage battery can be dynamically adjusted according to the temperature change, so that the charging efficiency and the service life of the storage battery can be better adapted to the characteristic change of the storage battery at different temperatures, and by calculating the correction voltage according to the difference between the preset temperature coefficient and the reference temperature, the accurate correction of the charging voltage can be realized, the stability and the performance of the storage battery system can be effectively improved, and the overtemperature risk can be reduced. Meanwhile, the charging rate of the charging voltage in the period from the change of the charging voltage to the correction voltage is set according to the temperature change rate of the first temperature data of the storage battery, so that the temperature rising rate of the storage battery in the period of the correction voltage can be controlled, the influence on the temperature of the storage battery caused by the too high rate in the period of the correction voltage is avoided, and the safety and the service life of the storage battery are improved.
Optionally, the temperature compensation module further comprises a homogeneous charge temperature compensation module;
when the running state of the storage battery is the uniform charging state, calculating a correction current according to a preset reference current, a preset temperature coefficient, second temperature data and a preset reference temperature;
and adjusting the charging current of the storage battery according to the correction current, and setting the charging rate during the period from the charging current to the correction current according to the temperature change rate of the first temperature data of the storage battery.
The method comprises the steps of calculating a correction current according to a preset reference current, a preset temperature coefficient, second temperature data and a preset reference temperature, and adjusting the charging current of the storage battery according to the correction current, wherein the formula can be expressed as follows:
I comp＝I ref*(1+Kt I*(T-Tref))
Where icomp is the corrected charging current, iref is the reference current, typically the charging current at the standard temperature, kt I is the temperature coefficient, representing the rate of change of current with temperature, T is the current temperature, tref is the reference temperature, typically the temperature at the standard temperature. For example, in the state of uniform charge of the battery, the preset reference current iref is 10A, the preset temperature coefficient Kt I is 0.05A/°c, the second temperature data T is 30 ℃, the preset reference temperature Tref is 25 ℃, and the corrected battery charging current should be 12.5A when the preset reference temperature Tref is substituted into icomp=iref (1+kt I (T-Tref)).
In addition, the charging rate during the period from the charging current to the correction current is adjusted according to the temperature change rate of the first temperature data of the storage battery, and the calculation formula of the temperature change rate may be: temperature change rate= (current temperature-last time temperature)/time interval, for example, assuming that the last time first temperature data is measured as T1 ℃, the current first temperature data is measured as T2 ℃, and the time interval is Δt minutes, the temperature change rate= (T2-T1)/Δt is typically a unit of temperature divided by a unit of time, such as ℃/minute or ℃/second. And the calculation formula of the charge rate of the storage battery can be: the charge rate adjustment amount=temperature change rate coefficient, where the coefficient is used to control the degree of influence of the temperature change rate on the charge rate, and may be set according to the actual situation, and by multiplying the temperature change rate by the coefficient, an adjustment amount of the charge rate may be obtained, a positive value indicates that the charge rate needs to be reduced, a negative value indicates that the charge rate needs to be increased, and an initial charge rate of the battery is added to the adjustment amount, so that the charge rate during the period from the charge current to the correction current of the battery may be obtained.
Fig. 5 is a flowchart of battery temperature compensation according to an embodiment of the present invention, as shown in fig. 5.
And 1, judging whether the voltage data of the storage battery exceeds a preset voltage threshold or whether the current data of the storage battery exceeds a preset current threshold, if so, turning to the step 2, otherwise, turning to the step 3, turning to the float charge state.
And 2, when the running state of the storage battery is a floating state, judging whether the second temperature data exceeds a first preset temperature range in the floating state, and if so, turning to the step4, otherwise turning to the step 5.
And 3, when the running state of the storage battery is the uniform charging state, judging whether the second temperature data exceeds a first preset temperature range in the uniform charging state, and if so, turning to the step 6, otherwise turning to the step 7.
And 4, performing over-temperature early warning display in a floating state.
And 5, judging whether the second temperature data of the storage battery exceeds a second preset temperature range in a floating charge state, and if so, turning to the step 9.
And step 6, performing overtemperature early warning display in a homogeneous charge state.
And 7, judging whether the second temperature data of the storage battery exceeds a second preset temperature range in a uniform charge state, and if so, turning to the step 10.
And 8, calculating a correction voltage according to the preset reference voltage, the preset temperature coefficient, the second temperature data and the preset reference temperature, adjusting the charging voltage of the storage battery according to the correction voltage, and setting the charging rate in the period from the charging voltage to the correction voltage according to the temperature change rate of the first temperature data of the storage battery.
And 9, calculating a correction current according to the preset reference current, the preset temperature coefficient, the second temperature data and the preset reference temperature, adjusting the charging current of the storage battery according to the correction current, and setting the charging rate of the period from the charging current change to the correction current according to the temperature change rate of the first temperature data of the storage battery.
In this embodiment, the correction current is calculated according to the actual temperature data, so that the charging current of the storage battery can be dynamically adjusted according to the temperature change, the characteristic change of the storage battery at different temperatures can be better adapted, the charging efficiency and the service life of the storage battery are improved, the accurate correction of the charging current can be realized by calculating the correction current according to the difference between the preset temperature coefficient and the reference temperature, the stability and the performance of the storage battery system are effectively improved, the overtemperature risk is reduced, and meanwhile, the charging process of the storage battery can be better controlled by dynamically adjusting the charging current, and the occurrence of overcharge and overtemperature conditions is avoided. In addition, the charging rate of the charging current in the period from the change of the first temperature data of the storage battery to the correction current is set according to the temperature change rate of the first temperature data of the storage battery, so that the temperature rising rate of the storage battery in the period of the correction current can be controlled, the influence on the temperature of the storage battery caused by the too high rate in the period of the correction current is avoided, and the safety and the service life of the storage battery are improved.
According to the storage battery temperature monitoring and managing system provided by the embodiment, the system comprises: the acquisition module is used for acquiring storage battery monitoring data and environmental temperature, the judging module is used for judging whether the running state of the storage battery is a uniform charging state or a floating charging state according to the storage battery monitoring data, the calculating module is used for carrying out self-adaptive weighted calculation on first temperature data of the storage battery according to multi-point temperature data in the storage battery monitoring data, the battery monitoring module is used for carrying out characteristic fusion analysis prediction on the running state of the storage battery, the environmental temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is in a second preset temperature range, and the temperature compensation module is used for carrying out corresponding temperature compensation on the storage battery according to the running state of the storage battery when the second temperature data exceeds a second preset temperature range. That is, the acquisition module can acquire the monitoring data of the storage battery and the ambient temperature, a comprehensive data basis is provided, the system can accurately monitor and analyze the state of the storage battery, the judgment module can accurately judge the running state of the storage battery according to the monitoring data of the storage battery, including the floating charge state and the uniform charge state, an accurate basis is provided for the subsequent temperature control, the calculation module utilizes the multi-point temperature data in the monitoring data of the storage battery, the first temperature data of the storage battery is obtained through calculation, the accurate assessment of the internal temperature of the storage battery is provided, the battery monitoring module analyzes and predicts the running state of the storage battery, the ambient temperature and the first temperature data, the second temperature data is output, and early warning display is carried out according to the second temperature data, the temperature state of the storage battery is timely reminded to be used for making protection measures, the temperature compensation is carried out on the storage battery according to the second temperature data exceeding the preset range, the storage battery is prevented from being damaged by overhigh temperature, the comprehensive data acquisition, the accurate running state judgment, the accurate temperature calculation, the prediction and the early warning function and the temperature compensation protection are effectively prevented, the phenomenon that the storage battery is overtemperature is generated in the charging process, the performance of the storage battery is improved, the safety of the system is ensured, and the running safety of the system is ensured.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The above description is only illustrative of the preferred embodiments of the present invention and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the invention referred to in the present invention is not limited to the specific combinations of the technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the inventive concept. Such as the above-mentioned features and the technical features disclosed in the present invention (but not limited to) having similar functions are replaced with each other.
Claims (3)
1. A battery temperature monitoring management system, characterized by comprising:
the acquisition module is used for acquiring storage battery monitoring data and environmental temperature;
the judging module is used for judging whether the running state of the storage battery is a uniform charge state or a floating charge state according to the storage battery monitoring data;
The calculation module is used for adaptively weighting and calculating first temperature data of the storage battery according to the multipoint temperature data in the storage battery monitoring data;
The battery monitoring module is used for carrying out feature fusion analysis prediction on the running state of the storage battery, the ambient temperature and the first temperature data, outputting second temperature data of the storage battery at the next moment, and carrying out temperature early warning display when the second temperature data exceeds a first preset temperature range and is within a second preset temperature range;
the temperature compensation module is used for carrying out corresponding temperature compensation on the storage battery according to the running state of the storage battery when the second temperature data exceeds the second preset temperature range;
The acquisition module comprises a storage battery monitoring data acquisition module and an environment temperature acquisition module;
the storage battery monitoring data acquisition module is used for acquiring current data, voltage data, internal resistance data, multipoint temperature data and time data; the multipoint temperature data comprise positive pole temperature data, negative pole temperature data, surface temperature data, internal temperature data and thermistor temperature data;
the environment temperature acquisition module is used for acquiring external environment temperature;
the judging module comprises a voltage judging module and a current judging module,
The voltage judging module is used for judging the running state of the storage battery according to the voltage data in the storage battery monitoring data, judging the running state of the storage battery to be a floating charge state when the voltage data of the storage battery exceeds a preset voltage threshold value, and judging the running state of the storage battery to be a uniform charge state when the voltage data of the storage battery does not exceed the preset voltage threshold value;
the current judging module is used for judging the running state of the storage battery according to the current data in the storage battery monitoring data, judging the running state of the storage battery to be a floating charge state when the current data of the storage battery is lower than a preset current threshold value, and judging the running state of the storage battery to be a uniform charge state when the voltage data of the storage battery is not lower than the preset current threshold value;
The computing means may comprise a processor configured to,
Calculating the average temperature of the multipoint temperature data in the storage battery monitoring data;
calculating a temperature difference between the multipoint temperature data and the average temperature;
normalizing the temperature difference between the multipoint temperature data and the average temperature, and calculating the weight of the multipoint temperature data;
Weighting the multipoint temperature data in the storage battery monitoring data according to the weight of the multipoint temperature data, and calculating first temperature data of the storage battery;
The battery monitoring module comprises an overtemperature prediction module;
the overtemperature prediction module is used for predicting second temperature data of the storage battery at the next moment;
The over-temperature prediction module comprises a data preparation module, a feature extraction module, a long-period and short-period memory module, a feature fusion module and a prediction module;
The preparation module is used for preprocessing the running state of the storage battery, the ambient temperature and the first temperature data to obtain the preprocessing data of the overtemperature prediction module;
The characteristic extraction module is used for extracting the temperature state characteristics of the storage battery from the data preprocessed by the overtemperature prediction module;
The long-period and short-period memory module is used for extracting temperature time sequence characteristics of the storage battery from the pre-processing data of the overtemperature prediction module;
the characteristic fusion module is used for fusing the temperature state characteristic and the temperature time sequence characteristic;
The prediction module is used for outputting second temperature data of the storage battery at the next moment;
the battery monitoring module is provided with the first preset temperature range and the second preset temperature range;
The first preset temperature range and the second preset temperature range are set differently according to different running states of the battery;
The first preset temperature range is within the second preset temperature range;
the upper limit of the first preset temperature range is smaller than the upper limit of the second preset temperature range, and the lower limit of the first preset temperature range is larger than the lower limit of the second preset temperature range;
the temperature compensation module comprises a floating charge temperature compensation module;
when the running state of the storage battery is a floating charge state, calculating a correction voltage according to a preset reference voltage, a preset temperature coefficient, the second temperature data and a preset reference temperature;
Adjusting the charging voltage of the storage battery according to the correction voltage, and setting the charging rate of the period from the charging voltage to the correction voltage according to the temperature change rate of the first temperature data of the storage battery;
The method comprises the steps of calculating a correction voltage according to a preset reference voltage, a preset temperature coefficient, second temperature data and a preset reference temperature, and adjusting the charging voltage of the storage battery according to the correction voltage, wherein the formula is as follows:
Vcomp = Vref + KtV* (T - Tref)
Wherein Vcomp is the corrected battery charging voltage, vref is the reference voltage, typically the charging voltage at standard temperature, ktV is the temperature coefficient, representing the rate of change of voltage with temperature, T is the current temperature, tref is the reference temperature, typically the temperature at standard temperature;
the temperature compensation module further comprises a homogeneous charge temperature compensation module;
When the running state of the storage battery is the uniform charging state, calculating a correction current according to a preset reference current, a preset temperature coefficient, the second temperature data and a preset reference temperature;
adjusting the charging current of the storage battery according to the correction current, and setting the charging rate of the period from the charging current to the correction current according to the temperature change rate of the first temperature data of the storage battery;
The method comprises the steps of calculating a correction current according to a preset reference current, a preset temperature coefficient, second temperature data and a preset reference temperature, and adjusting the charging current of the storage battery according to the correction current, wherein the formula is as follows:
Icomp = Iref * (1 + Kt I* (T - Tref))
Where Icomp is the corrected charge current, iref is the reference current, usually the charge current at the standard temperature, ktI is the temperature coefficient, representing the rate of change of current with temperature, T is the current temperature, tref is the reference temperature, usually the temperature at the standard temperature;
wherein, the calculation formula of the temperature change rate is: temperature change rate= (current temperature-last time temperature)/time interval;
the calculation formula of the charge rate of the storage battery is as follows: charge rate adjustment amount = temperature change rate coefficient, where the coefficient is used to control the extent to which the temperature change rate affects the charge rate.
2. The battery temperature monitoring management system of claim 1, wherein the battery monitoring module further comprises an early warning module;
and the early warning module is used for carrying out early warning display when the storage battery is overtemperature.
3. The battery temperature monitoring management system of claim 2, wherein the pre-warning module comprises a display interface;
The display interface comprises the running state of the storage battery, the second temperature data, alarm information, historical fault information and abnormal time monitoring information;
Wherein the alarm information includes a difference between the second temperature data and the second preset temperature range, when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is smaller than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the lower limit temperature in the second preset temperature range is displayed, and when the difference between the second temperature data and the lower limit temperature in the second preset temperature range is larger than the difference between the second temperature data and the upper limit temperature in the second preset temperature range, the difference between the second temperature data and the upper limit temperature in the second preset temperature range is displayed;
The historical fault information comprises the time of occurrence of the historical fault of the storage battery and the reason of occurrence of the historical fault;
The abnormal time monitoring information starts to count when the second temperature data of the storage battery is detected to exceed the first preset temperature range and is in the second preset temperature range, when the abnormal time monitoring information exceeds the preset abnormal time, the power supply is cut off and counted down for 3 minutes, when an instruction is not received within 3 minutes, the power supply of the storage battery is cut off, and when the second temperature data of the storage battery is recovered to be normal, the abnormal time monitoring information carries out zero clearing operation.
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