CN110308398B - Lead-acid battery life cycle analysis method and monitoring system - Google Patents
Lead-acid battery life cycle analysis method and monitoring system Download PDFInfo
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- CN110308398B CN110308398B CN201811168820.6A CN201811168820A CN110308398B CN 110308398 B CN110308398 B CN 110308398B CN 201811168820 A CN201811168820 A CN 201811168820A CN 110308398 B CN110308398 B CN 110308398B
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Abstract
The invention discloses a lead-acid battery life cycle analysis method and a monitoring system, wherein the method comprises the following steps: calculating the number of cycle life experienced by the battery based on the number of charge and discharge cycles experienced by the battery; calculating a used life of the battery based on the number of cycles experienced; calculating the lost service life of the battery based on the abnormal use factors of the battery; the abnormal use factors of the battery comprise one or more of water shortage, high temperature, over-discharge, under-charge, voltage unbalance and too long standby time; calculating a remaining life of the battery based on the total life of the battery, the used life, and the lost life. The invention can calculate the used service life, lost service life, residual service life and the like of the lead-acid battery in real time and analyze and display the used service life, lost service life, residual service life and the like, thereby prolonging the service life of the battery and reducing the investment of users.
Description
Technical Field
The invention relates to the technical field of lead-acid batteries, in particular to a lead-acid battery life cycle analysis method and a lead-acid battery life cycle monitoring system.
Background
Lead-acid batteries require regular maintenance, such as water addition, charge equalization, etc., and there are many places to be paid attention to during use. However, general users of lead-acid batteries generally lack system knowledge for managing lead-acid batteries, which may result in a shortened service life of the lead-acid batteries, and even in safety accidents such as fire and explosion.
The existing solutions mainly include:
a. offline abnormity alarm is carried out according to the acquired data of the voltage, the current, the liquid level, the temperature and the like of the lead-acid battery, for example, when the battery is in abnormity such as water shortage or high temperature, light on the forklift controller flickers to prompt that the battery is abnormally used. However, the number of lamps on the controller is limited, so that only the most important abnormalities can be displayed, and when the forklift is used, a user cannot obtain real-time abnormality reminding because the controller is arranged below a forklift seat, the user cannot obtain historical abnormal data records, and even cannot obtain the influence analysis of the abnormalities on the service life of the battery.
b. Compared with offline abnormal alarm, the scheme can expand the abnormal quantity, provide abnormal historical record query, push the abnormality in real time through a mailbox or a mobile phone, and perform classified summary statistics on abnormal conditions.
However, the above solutions only perform simple analysis and statistics on battery anomalies, and do not systematically analyze the used life, lost life, remaining life, battery investment cycle, remaining investment time, etc. of the lead-acid battery according to the anomalies, so that the battery usage habits of the user and the losses brought by the anomalies to the user's investment cannot be analyzed.
Disclosure of Invention
The invention mainly aims to overcome the defects in the prior art, and provides a method and a system for analyzing the life cycle of a lead-acid battery, which can calculate the used life, the lost life, the residual life and the like of the lead-acid battery in real time and analyze and display the used life, the lost life, the residual life and the like of the lead-acid battery, thereby prolonging the service life of the battery and reducing the investment of users.
The invention adopts the following technical scheme:
in one aspect, the invention provides a lead-acid battery life cycle analysis method, which comprises the following steps:
calculating the number of cycle life experienced by the battery based on the number of charge and discharge cycles experienced by the battery; calculating a used life of the battery based on the number of cycles experienced;
calculating the lost service life of the battery based on the abnormal use factors of the battery; the abnormal use factors of the battery comprise one or more of water shortage, high temperature, over-discharge, under-charge, voltage unbalance and too long standby time;
calculating a remaining life of the battery based on the total life of the battery, the used life, and the lost life.
Preferably, the calculating the number of cycles of life of the battery based on the number of charge and discharge cycles of the battery includes:
and (3) calculating the cycle life times corresponding to a single charge-discharge cycle as follows:
wherein, muiDODThe discharge depth corresponds to a single charge-discharge cycle; mu.sminRepresents the percentage of minimum remaining charge, μ, in a standard charge-discharge cyclemaxRepresents the percentage of maximum discharge, μ, in a standard charge-discharge cyclemin+μ max100 percent; λ is a compensation coefficient;
and calculating the cycle life times of the battery according to the cycle life times corresponding to the single charge-discharge cycle, wherein the cycle life times are as follows:
where m represents the number of charge and discharge cycles experienced by the battery.
Preferably, the used life of the battery is equal to the sum of the number of cycles experienced and the initial life.
Preferably, the lost life of the battery is calculated based on the abnormal use factor of the battery, and is expressed as follows:
L＝λ1X1+λ2X2+λ3X3+λ4X4+λ5X5+λ6X6
wherein, X1Indicating the number of lost lives due to water shortage, lambda1A weight representing a water deficit factor; x2Denotes the number of lost lives due to high temperature, λ2Is highWeight of temperature factor; x3Indicates the number of lost life times, λ, due to over-discharge3A weight representing an over-discharge factor; x4Indicating the number of lost life times due to undercharge, λ4A weight representing an undercharge; x5Indicates the number of lost life times, lambda, due to imbalance of cell voltages5Weight representing the imbalance factor of the cell voltage; x6Indicates the number of lost life times, lambda, caused by too long standby6A weight representing the factor of standing too long.
Preferably, the number of lost lives due to high temperature X2Expressed by the following way:
X2＝T/M/24*Be1
wherein T represents a high temperature duration; m represents the number of days of a month; 24 represents 24 hours; b ise1Indicating the number of cycles experienced per month,
m represents the number of charge and discharge cycles that the battery undergoes, and s represents the number of months that the battery has been used; b isieIndicating the number of cycles corresponding to a single charge-discharge cycle.
Preferably, the high-temperature time T is divided into three levels, namely the high-temperature time T with the temperature greater than the first preset temperature11A high temperature duration T at a temperature greater than a second predetermined temperature12A high temperature duration T at a temperature greater than a third predetermined temperature13And T11、T12And T13The linear multivariate function relationship is satisfied, and the concrete steps are as follows:
T＝k1T11+k2T12+k3T13
the first preset temperature is lower than the second preset temperature, and the second preset temperature is lower than the third preset temperature; k is a radical of1、k2And k3Respectively, the influence coefficient of the temperature of the grade, k1<k2<k3。
Preferably, the number of lost lives X due to overdischarge3By the followingThe mode shows that:
wherein m represents the number of charge and discharge cycles experienced by the battery;
clodi is represented by:
wherein j1, j2 and j3 are regression coefficients obtained according to the depth of discharge and life curve; mu.siDODDepth of discharge, mu, for a single charge-discharge cyclemaxRepresents the maximum percentage of discharge in a standard charge-discharge cycle.
Preferably, the remaining life of the battery is calculated based on the total life of the battery, the used life and the lost life, and is specifically expressed as follows:
remaining life-total life-used life-lost life.
Preferably, the method further comprises calculating a battery investment cycle as follows:
battery investment period (total life-lost life)/number of cycles per month experienced
Wherein the number of cycles per month is represented by Be1It is shown that,
m represents the number of charge and discharge cycles experienced by the battery, s represents the number of months of the battery used, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
Preferably, the method further comprises calculating a remaining investment time as follows:
remaining investment time-remaining life/number of cycles per month experienced
Wherein the number of cycles per month is represented by Be1It is shown that,
m represents the number of charge and discharge cycles experienced by the battery, s represents the number of months of the battery used, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
In another aspect, the present invention is a lead-acid battery monitoring system, comprising: the system comprises a lead-acid storage battery, an acquisition device, a controller and a computing platform; the acquisition device is connected with the lead-acid storage battery and is used for acquiring battery data including current, liquid level, temperature and voltage; the controller is connected with the acquisition device to receive the acquired data and send the acquired data to the computing platform; wherein the computing platform comprises a battery life cycle analysis module; the battery life cycle analysis module calculates one or more of used life, lost life, residual life, battery investment cycle and residual investment time of the lead-acid battery based on a lead-acid battery life cycle analysis method.
Preferably, the lead-acid battery monitoring system further comprises a display terminal connected with the computing platform; the display terminal comprises a display module; the display module is used for displaying one or more of the used service life, the lost service life, the residual service life, the battery investment cycle and the residual investment time of the lead-acid battery.
Preferably, the display terminal further comprises one or more modules of an abnormal alarm pushing module, an alarm analyzing module and an email reporting module;
the abnormal alarm pushing module is used for pushing the inquired abnormal data to the user terminal through an email or a short message; the data comprises data acquired by an acquisition device and analyzed life cycle data of the lead-acid battery;
the alarm analysis module is used for selecting any time period on a historical time axis and analyzing all abnormal statistical conditions of the battery in the time period;
and the mail reporting module is used for automatically pushing the alarm data and/or the battery life cycle number in a preset time period to the user terminal in a mail attachment mode.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
(1) according to the method for analyzing the service life cycle of the lead-acid battery, the used service life, the lost service life, the residual service life and the like of the lead-acid battery are calculated according to the acquired data such as voltage, current, liquid level, temperature and the like and are analyzed, so that the service life of the battery is prolonged, and the investment of users is reduced;
(2) the invention relates to a lead-acid battery life cycle analysis method, which is characterized in that when the used life is calculated, corresponding conversion is carried out between nonstandard charge-discharge cycle times and experienced cycle life times according to the discharge depth corresponding to charge-discharge cycles; in addition, the initial service life of the battery is considered when the used service life is calculated, so that the calculation result is more accurate;
(3) according to the method for analyzing the service life cycle of the lead-acid battery, when the lost service life is calculated, the considered abnormal use factors of the battery comprise water shortage, high temperature, over discharge, insufficient charge, unbalanced voltage, too long standby time and the like, the weight of each influence factor is considered, and safety accidents such as battery ignition or explosion and the like caused by high-temperature water shortage and the like can be avoided;
(4) the lead-acid battery monitoring system can provide periodic mail reports, and a user can easily know the conditions of the batteries and the battery team (a plurality of batteries) without logging in a background, so that the management and maintenance of the storage battery are more convenient;
(5) the lead-acid battery monitoring system can store all original data and provide abnormal alarm statistical data, so that a user can conveniently search historical data when an accident or dispute occurs.
Drawings
FIG. 1 is a flow chart of a method for analyzing a life cycle of a lead-acid battery according to an embodiment of the present invention;
FIG. 2 is a block diagram of a lead-acid battery monitoring system according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating an overview of battery life analysis and prediction in accordance with an embodiment of the present invention;
FIG. 4 is a graph of an abnormal lost life analysis according to an embodiment of the present invention;
FIG. 5 is a graph of a used lifetime analysis of an embodiment of the present invention.
Detailed Description
The invention is further described below by means of specific embodiments.
It should be noted that, in the following description of the present embodiment, reference is made to step numbers, which are only for convenience of reading, and the step sequence may be adjusted in the specific implementation.
Referring to fig. 1, the method for analyzing the life cycle of a lead-acid battery of the present invention includes:
102, calculating the service life of the battery lost based on the abnormal use factors of the battery; the abnormal use factors of the battery include one or more of water shortage, high temperature, over-discharge, under-charge, voltage unbalance, and long standby. Theoretically, when the voltage value collected by the controller is not 0, the water shortage is not indicated, and in the concrete implementation, a smaller voltage threshold value is set to judge whether the water shortage exists. In this embodiment, the high temperature is calculated to be greater than 45 degrees, and in this embodiment, the high temperature is divided into three stages. When the depth of discharge is between 80% and 100%, it can be understood as an over-discharge. Undercharging may be understood as not charging to 100%. The single imbalance is that the voltage difference between the single cells exceeds a threshold, for example, for a 48V battery, two voltages, one U1(6 single cells, theoretical 12V) and one 48V (24 single cells, theoretical 48V) are collected, and the calculation method is that the voltage imbalance is expressed as U2/24-U1/6, if the voltage imbalance exceeds a set threshold, it is considered that there is a problem, in practice, 200mA can be set as 200mA, 200mA is a relatively large value, when 200mA occurs, it basically indicates that the battery has a relatively serious problem, and when 100mA generally, the battery is affected. The long standby time can be understood as the long-term non-use of the battery, and can be set according to practical application, for example, the continuous non-use for 120 hours is the long standby time.
Step 103 calculates the remaining life of the battery based on the total life of the battery, the used life and the lost life.
Specifically, the total battery life refers to the total battery life, and can be generally determined by battery design standards, such as 1500 times specified in DIN standard and 800 times specified in GB standard; the initial life refers to the used life of the lead-acid storage battery when the battery monitoring system is installed, the initial life of a new battery is zero, and an estimated value can be given to an old battery according to the past use habit; the used life refers to the sum of the number of cycle life times and the initial life of the lead-acid storage battery from the installation of the battery monitoring system; a standard charge-discharge cycle of charging to 100% and discharging to 20% is equivalent to a number of used experienced cycle lives, and a corresponding transition between the non-standard charge-discharge cycle requirement and the experienced number of cycle lives is required (see detail B below)ieA calculation formula of (c); the lost life refers to the loss of the number of the cycle life times of the storage battery due to unreasonable use, for example, it is generally considered that the number of the cycle life times of the storage battery is halved every ten degrees rise of the temperature, and the lost life is intended to tell the user that the unreasonable use of the battery causes the loss of the cycle life of the battery, and show that each lost life is caused by which abnormality; the remaining life refers to the number of cycles that the battery can continue to be used. In the present embodiment, the remaining lifetime is total lifetime-used lifetime-lost lifetime.
In this embodiment, the calculating the number of cycles of life of the battery based on the number of charge and discharge cycles of the battery includes:
and (3) calculating the cycle life times corresponding to a single charge-discharge cycle as follows:
wherein, muiDODThe discharge depth corresponds to a single charge-discharge cycle; mu.sminRepresents the percentage of minimum remaining charge, μ, in a standard charge-discharge cyclemaxRepresents the percentage of maximum discharge, μ, in a standard charge-discharge cyclemin+μ max100 percent; λ is a compensation coefficient such that BieSatisfies the condition of less than or equal to mumaxIs greater than or equal to mumin(ii) a In this example,. mu.minEqual to 20%, mumaxEqual to 80%, a standard charge-discharge cycle charging to 100% and discharging to 20% is equivalent to a number of used elapsed cycle lives.
And calculating the cycle life times of the battery according to the cycle life times corresponding to the single charge-discharge cycle, wherein the cycle life times are as follows:
where m represents the number of charge and discharge cycles experienced by the battery.
In this embodiment, the loss life of the battery is calculated based on the abnormal use factor of the battery, and is expressed as follows:
L＝λ1X1+λ2X2+λ3X3+λ4X4+λ5X5+λ6X6
wherein, X1Indicating the number of lost lives due to water shortage, lambda1A weight representing a water deficit factor; x2Denotes the number of lost lives due to high temperature, λ2A weight representing a high temperature factor; x3Indicates the number of lost life times, λ, due to over-discharge3A weight representing an over-discharge factor; x4Indicating the number of lost life times due to undercharge, λ4A weight representing an undercharge; x5Indicates the number of lost life times, lambda, due to imbalance of cell voltages5Weight representing the imbalance factor of the cell voltage; x6Indicates the number of lost life times, lambda, caused by too long standby6A weight representing the factor of standing too long. In this embodiment, λ2And λ3Can be divided into 1 and lambda1、λ4、λ5、λ6Has a value range of [0, 0.5 ]]。
Further, the lost life due to high temperatureNumber of hits X2Expressed by the following way:
X2＝T/30/24*Be1
wherein T represents a high temperature duration; 30 means 30 days; 24 represents 24 hours; b ise1Indicating the number of cycles experienced per month,
m represents the number of charge and discharge cycles of the battery, and s represents the number of months of the battery (for example, the battery has been used for 3 months, s is 3); b isieIndicating the number of cycles corresponding to a single charge-discharge cycle.
Specifically, the high-temperature duration T is divided into three levels, namely, the high-temperature duration T with the temperature greater than a first preset temperature11A high temperature duration T at a temperature greater than a second predetermined temperature12A high temperature duration T at a temperature greater than a third predetermined temperature13And T11、T12And T13The linear multivariate function relationship is satisfied, and the concrete steps are as follows:
T＝k1T11+k2T12+k3T13
the first preset temperature is lower than the second preset temperature, and the second preset temperature is lower than the third preset temperature; k is a radical of1、k2And k3Respectively, the influence coefficient of the temperature of the grade, k1<k2<k3. In this embodiment, the first preset temperature may be 45 degrees, the second preset temperature is 55 degrees, and the third preset temperature is 65 degrees.
Further, the number of lost life times X due to over-discharge3Expressed by the following way:
wherein m represents the number of charge and discharge cycles experienced by the battery;
clodi is represented by:
wherein j1, j2 and j3 are regression coefficients obtained from a depth of discharge and life curve, and the depth of discharge and life curve can be obtained from a manufacturer; mu.siDODDepth of discharge, mu, for a single charge-discharge cyclemaxRepresents the maximum percentage of discharge in a standard charge-discharge cycle; in this example,. mu.maxEqual to 80%, a standard charge-discharge cycle of charging to 100% and discharging to 20% is equivalent to the number of cycles of a used history, i.e. having μiDODThe over-discharge is considered to be caused when the voltage is between 80% and 100%. In this embodiment, the value range of j1 is [ -0.2, -0.1 [ ]]The value range of the j2 is [0.1, 0.2 ]]The value range of the j3 is [ -2, -1 [ ]]。
In this embodiment, the method for analyzing the life cycle of the lead-acid battery further includes calculating the investment cycle of the battery as follows:
battery investment period (total life-lost life)/number of cycles per month experienced
Wherein the number of cycles per month is represented by Be1It is shown that,
m represents the number of charge and discharge cycles experienced by the battery, s represents the number of months of the battery used, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
Preferably, the lead-acid battery life cycle analysis method further includes calculating the remaining investment time as follows:
remaining investment time-remaining life/number of cycles per month experienced
Wherein the number of cycles per month is represented by Be1It is shown that,
m represents the number of charge-discharge cycles experienced by the battery, s represents the month in which the battery has been usedNumber, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
Referring to fig. 2, the lead-acid battery monitoring system of the present invention includes: the system comprises a lead-acid storage battery 10, an acquisition device 20, a controller 30 and a computing platform 40; the acquisition device 20 is connected with the lead-acid storage battery 10 and is used for acquiring battery data including current, liquid level, temperature and voltage; the controller 30 is connected with the acquisition device 20 to receive the acquired data and send the acquired data to the computing platform 40; wherein the computing platform 40 comprises a battery life cycle analysis module 401; the battery life cycle analysis module 401 calculates one or more of the used life, the lost life, the remaining life, the battery investment cycle and the remaining investment time of the lead-acid battery based on the lead-acid battery life cycle analysis method.
It should be noted that the computing platform 40 may be a cloud computing platform or other backend server platforms as long as the computing needs of the present invention can be met, and the embodiment of the present invention is not particularly limited.
In this embodiment, the lead-acid battery monitoring system further includes a display terminal 50 connected to the computing platform 40; the display terminal 50 comprises a display module 501; the display module 501 is used for displaying one or more of the used life, the lost life, the remaining life, the battery investment cycle and the remaining investment time of the lead-acid battery.
It should be noted that the display terminal 50 includes a computer, a tablet, a mobile phone, etc., as long as the display requirements of the present invention can be met, and the embodiment of the present invention is not particularly limited.
In this embodiment, the display terminal 50 further includes one or more modules of an abnormal alarm pushing module 502, an alarm analyzing module 503, and an email reporting module 504.
The abnormal alarm pushing module 502 is configured to push the queried abnormal data to the user terminal through an email or a short message; the data includes data collected by the collecting device 20 and life cycle data of the lead-acid battery analyzed. Specifically, the user can check the collected data of each battery in real time at the background according to the needs, wherein the collected data comprise temperature, liquid level, voltage, current, battery electric quantity and the like, and when the collected data exceed a set threshold value, the monitoring system can push a prompt to the user in real time through mails or short messages.
The alarm analysis module 503 is configured to select any one time period on the historical time axis and analyze all abnormal statistical conditions occurring in the battery during the time period. Specifically, the data uploaded to the computing platform 40 by the controller 30 may be directly displayed in real time, and may be stored in the cloud for statistical analysis. When the user selects a time end, the monitoring system can screen all abnormal alarms and details thereof occurring in the time period, and help the user diagnose accidents or disputes.
The mail reporting module 504 is configured to automatically push the alarm data and/or the battery life cycle number within a preset time period to the user terminal in a mail attachment manner. Specifically, on one hand, a user can check the battery alarm, the service life analysis and the like through logging in a background system, on the other hand, the system can automatically push the data of the battery team such as the recent important abnormal alarm, the battery service life analysis and the like to the user in a certain period in a mail PDF attachment mode, the user can know the condition of the battery team by opening a mail report without logging in the system, and the management and the maintenance of the battery team of the user are thoroughly released and facilitated.
Specifically, the collection device 20 includes a current sensor 201, a liquid level sensor 202, a temperature sensor 203, and a voltage collection terminal 204. The current sensor 201 is used for collecting input/output current of the lead-acid storage battery 10, and the hall current sensor 201 is generally adopted and sleeved on a negative wire harness of the storage battery; the liquid level sensor 202 is used for acquiring the electrolyte state of the single battery, and is essentially a section of lead, when the lead is in contact with the electrolyte of the storage battery, the controller 30 acquires a voltage value of about 1V, which indicates that the battery is not lack of water, and when the lead cannot be in contact with the electrolyte of the storage battery, the lead is suspended, the controller 30 cannot acquire the voltage value, which indicates that the single battery is lack of water, and generally, the liquid level sensor 202 is only arranged on one single battery near the center point of the storage battery, because the heat dissipation at the center of the storage battery is worse, the problems of high temperature and water shortage are more likely to occur; the temperature sensor 203 is used for collecting the internal temperature of the battery, the temperature sensor 203 is generally a thermistor and can be directly placed between two monomers near the center of the storage battery, the collected temperature is the temperature between the monomers, and the temperature sensor 203 can also be directly integrated with the liquid level sensor 202 to directly collect the temperature of the electrolyte; the voltage acquisition terminal 204 is generally matched with an A/D conversion module of the controller 30 to acquire the overall voltage and half voltage of the storage battery and is used for judging whether the voltage of the single battery is unbalanced or not; the controller 30 receives input signals from the sensors and the terminals, on one hand, the controller alarms through LED flashing when data exceed a set threshold value, and on the other hand, the data are uploaded to the computing platform 40 through a wireless module of the controller, wherein the wireless module can be GPRS, 3G, 4G or WIFI and the like; the computing platform 40 receives the collected data from the controller 30, performs statistical analysis and computational prediction, and displays the data to the user through the display terminal 50.
Referring to fig. 3, a schematic diagram of a lifetime analysis overview, the lifetime analysis is used to show the total lifetime of the battery fleet and the total lifetime of each battery, the upper half of fig. 3 is an overview of the lifetime of the battery fleet, the remaining lifetime, the lost lifetime and the percentage of the used lifetime can be directly seen from the overview, the lifetime of the whole battery fleet can be intuitively understood, and the lower half of fig. 3 is the lifetime information of each battery in the battery fleet, which includes the total lifetime, the used lifetime, the lost lifetime and the remaining lifetime, and also displays the battery investment cycle and the remaining investment time of the user. According to the figure 3, the user can directly see the use habit and the future investment situation of each battery, and each column header is also provided with a sorting function, so that the user can quickly locate the battery needing investment recently.
Referring to fig. 4, a specific development analysis is performed for the lost life in the life analysis, where the lost life is caused by abnormal use of the battery, and the main abnormalities affecting the life include water shortage, high temperature, over-discharge, unsaturated charge, unbalanced voltage, too long standby, and the like. The panel is also divided into two sections: a missing life overview of the battery fleet and a missing life analysis of each battery.
The upper part of fig. 4 shows the total lost life and abnormal proportion of the battery pack, such as 91 total lost lives, which are caused by the corresponding respective abnormalities after the lost life, including 16 times of water shortage lasting 24.3 hours, 14 times of high temperature lasting 43.3 hours, and the like, and the proportion of the abnormalities is shown by a pie chart. The lower part of fig. 4 shows the loss life condition of each battery and the details of the abnormality causing the corresponding loss life.
Referring to fig. 5, the used life analysis of the battery is shown, the used life of the battery includes three states of charging, using and idling, and is also divided into a battery team overview and two battery plates, and the upper half of fig. 5 shows the used life analysis of the battery team, specifically including charging condition analysis, discharging condition analysis and charging and discharging analysis; the charging analysis shows an occupation ratio diagram of saturated charging and unsaturated charging, the discharging analysis shows statistics of each discharging degree, and the charging and discharging statistics analyzes occupation ratios of charging, discharging, idling and the like of the battery. The lower half of fig. 5 shows the used life specific usage data of each battery.
The above description is only an embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by using the design concept should fall within the scope of infringing the present invention.
Claims (12)
1. A lead-acid battery life cycle analysis method is characterized by comprising the following steps:
calculating the number of cycle life experienced by the battery based on the number of charge and discharge cycles experienced by the battery; calculating a used life of the battery based on the number of cycles experienced;
calculating the lost service life of the battery based on the abnormal use factors of the battery; the abnormal use factors of the battery comprise one or more of water shortage, high temperature, over-discharge, under-charge, voltage unbalance and too long standby time;
calculating a remaining life of the battery based on the total life of the battery, the used life and the lost life;
based on the abnormal use factor of the battery, the lost life of the battery is calculated and expressed as follows:
L＝λ1X1+λ2X2+λ3X3+λ4X4+λ5X5+λ6X6
wherein, X1Indicating the number of lost lives due to water shortage, lambda1A weight representing a water deficit factor; x2Denotes the number of lost lives due to high temperature, λ2A weight representing a high temperature factor; x3Indicates the number of lost life times, λ, due to over-discharge3A weight representing an over-discharge factor; x4Indicating the number of lost life times due to undercharge, λ4A weight representing an undercharge; x5Indicates the number of lost life times, lambda, due to imbalance of cell voltages5Weight representing the imbalance factor of the cell voltage; x6Indicates the number of lost life times, lambda, caused by too long standby6A weight representing the factor of standing too long.
2. The lead-acid battery life cycle analysis method according to claim 1, wherein the calculating the number of cycle life experienced by the battery based on the number of charge and discharge cycles experienced by the battery specifically comprises:
and (3) calculating the cycle life times corresponding to a single charge-discharge cycle as follows:
wherein, muiDODThe discharge depth corresponds to a single charge-discharge cycle; mu.sminRepresents the percentage of minimum remaining charge, μ, in a standard charge-discharge cyclemaxRepresents the percentage of maximum discharge, μ, in a standard charge-discharge cyclemin+μmax100 percent; λ is a compensation coefficient;
and calculating the cycle life times of the battery according to the cycle life times corresponding to the single charge-discharge cycle, wherein the cycle life times are as follows:
where m represents the number of charge and discharge cycles experienced by the battery.
3. The lead-acid battery life cycle analysis method of claim 1, wherein the used life of the battery is equal to the sum of the number of cycles life experienced and the start life.
4. The lead-acid battery life cycle analysis method of claim 1, wherein the number of lost life times due to high temperature X2Expressed by the following way:
X2＝T/M/24*Be1
wherein T represents a high temperature duration; m represents the number of days of a month; 24 represents 24 hours; b ise1Indicating the number of cycles experienced per month,
m represents the number of charge and discharge cycles that the battery undergoes, and s represents the number of months that the battery has been used; b isieIndicating the number of cycles corresponding to a single charge-discharge cycle.
5. The lead-acid battery life cycle analysis method of claim 4, wherein the high temperature time period T is classified into three levels, namely, a high temperature time period T with a temperature greater than a first preset temperature11A high temperature duration T at a temperature greater than a second predetermined temperature12A high temperature duration T at a temperature greater than a third predetermined temperature13And T11、T12And T13The linear multivariate function relationship is satisfied, and the concrete steps are as follows:
T＝k1T11+k2T12+k3T13
wherein the first preset temperature is lower than the second preset temperature,the second preset temperature is lower than the third preset temperature; k is a radical of1、k2And k3Respectively, the influence coefficient of the temperature of the grade, k1<k2<k3。
6. The lead-acid battery life cycle analysis method of claim 1, wherein the number of lost lives due to overdischarge, X, is3Expressed by the following way:
wherein m represents the number of charge and discharge cycles experienced by the battery;
clodi is represented by:
wherein j1, j2 and j3 are regression coefficients obtained according to the depth of discharge and life curve; mu.siDODDepth of discharge, mu, for a single charge-discharge cyclemaxRepresents the maximum percentage of discharge in a standard charge-discharge cycle.
7. The lead-acid battery life cycle analysis method of claim 1, wherein the remaining life of the battery is calculated based on the total life of the battery, the used life and the lost life, and is specifically represented as follows:
remaining life-total life-used life-lost life.
8. The lead-acid battery life cycle analysis method of claim 1, further comprising calculating a battery investment cycle as follows:
battery investment period (total life-lost life)/number of cycles per month experienced
Wherein each monthNumber of cycles experienced with Be1It is shown that,
m represents the number of charge and discharge cycles experienced by the battery, s represents the number of months of the battery used, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
9. The lead-acid battery life cycle analysis method of claim 1, further comprising calculating a remaining investment time as follows:
remaining investment time-remaining life/number of cycles per month experienced
Wherein the number of cycles per month is represented by Be1It is shown that,
m represents the number of charge and discharge cycles experienced by the battery, s represents the number of months of the battery used, BieIndicating the number of cycles corresponding to a single charge-discharge cycle.
10. A lead-acid battery monitoring system comprising: the system comprises a lead-acid storage battery, an acquisition device, a controller and a computing platform; the acquisition device is connected with the lead-acid storage battery and is used for acquiring battery data including current, liquid level, temperature and voltage; the controller is connected with the acquisition device to receive the acquired data and send the acquired data to the computing platform; wherein the computing platform comprises a battery life cycle analysis module; the battery life cycle analysis module calculates one or more of used life, lost life, remaining life, battery investment cycle, remaining investment time of the lead-acid battery based on the method of any one of claims 1 to 9.
11. The lead-acid battery monitoring system of claim 10, further comprising a display terminal connected to the computing platform; the display terminal comprises a display module; the display module is used for displaying one or more of the used service life, the lost service life, the residual service life, the battery investment cycle and the residual investment time of the lead-acid battery.
12. The lead-acid battery monitoring system of claim 11, wherein the display terminal further comprises one or more of an anomaly alarm pushing module, an alarm analyzing module, and an email reporting module;
the abnormal alarm pushing module is used for pushing the inquired abnormal data to the user terminal through an email or a short message; the data comprises data acquired by an acquisition device and analyzed life cycle data of the lead-acid battery;
the alarm analysis module is used for selecting any time period on a historical time axis and analyzing all abnormal statistical conditions of the battery in the time period;
and the mail reporting module is used for automatically pushing the alarm data and/or the battery life cycle number in a preset time period to the user terminal in a mail attachment mode.
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