CN118163674A - Electric automobile charging early warning method and system - Google Patents
Electric automobile charging early warning method and system Download PDFInfo
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Abstract
The invention provides an electric automobile charging early warning method and system, and relates to the field of electric automobiles, wherein the method comprises the following steps: acquiring a time-electric quantity curve and a time temperature curve of charging of an electric automobile battery under the standard environment temperature and the standard power grid voltage; setting a time deviation threshold and a temperature deviation threshold; collecting charging time, real-time electric quantity, real-time battery temperature and real-time environment temperature during charging; calculating a time increment rate and a temperature increment rate, and calculating a time correction coefficient and a temperature correction coefficient; and correcting the growth rate through the correction coefficient, and generating a comprehensive judgment index from the corrected data to judge whether early warning is required. By adopting the method, the influence of environmental factors on the rechargeable battery is reduced, misjudgment caused by the deviation of the environmental temperature and the charging voltage is reduced, and the charging safety and the early warning accuracy are improved.
Description
Technical Field
The invention relates to the field of electric automobiles, in particular to an electric automobile charging early warning method and system.
Background
With the increasing environmental awareness and government restrictions on traditional fuel vehicles, electric vehicles have become an increasingly popular choice over traditional fuel vehicles. However, because of long-term use and environmental effects, the battery of the electric vehicle may suffer various problems during use, such as capacity fade, a decrease in charge rate, and even safety problems during charging, resulting in damage to the battery, fire, and the like. Therefore, it is necessary to design a system for monitoring and early warning the battery in real time.
In the prior art, publication number CN108521155B discloses a method: the method comprises the steps of acquiring information of each battery in the electric automobile in advance, including automobile model and historical charging data, judging the battery type of the electric automobile according to the automobile model, judging the aging degree of the single battery of the electric automobile according to the historical charging data, obtaining early warning information of the single battery according to the battery type and the aging degree of the single battery, determining a first early warning voltage value and a second early warning voltage value according to the early warning information, measuring real-time voltage of each single battery during charging in real time when the electric automobile is used, judging the magnitude of the real-time voltage and the first early warning voltage and the second early warning voltage respectively, and adjusting the magnitude of multiplying power of a charging mode according to a judging result.
The main problems of the above method are: the real-time voltage is monitored and analyzed only to compare with the historical charging condition of the battery, but the influence of the ambient temperature on the charging condition is not considered. The state of the battery may be different at different room temperature, and at this time, the above method cannot correct the calculation result according to the environmental condition, so it is necessary to invent a determination system capable of eliminating the external environmental interference.
Disclosure of Invention
The invention aims to provide a method and a system for early warning of electric automobile charging, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
An electric automobile charging early warning scheme specifically comprises the following steps:
Step 1: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
Step 2: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the real-time electric quantity as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time;
Step 3: setting k time after starting charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time;
Step 4: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature, the standard power grid voltage, the real-time environment temperature and the real-time power grid voltage;
Step 5: correcting the electric quantity according to the electric quantity correction coefficient to generate a corrected electric quantity increase rate; correcting the temperature according to the temperature correction coefficient to generate a corrected temperature increase rate, and comparing the corrected electric quantity increase rate and the corrected temperature increase rate with an electric quantity deviation threshold value and a temperature deviation threshold value respectively to generate an electric quantity error rate and a temperature error rate respectively;
Step 6: and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
Further, the fixed ambient temperature is: 20 ℃; the fixed grid voltage is: 220V.
Further, the formula according to which the electric quantity correction coefficient is generated according to the standard ambient temperature, the standard power grid voltage, the real-time ambient temperature and the real-time power grid voltage is as follows:
Where ε represents the power correction factor, U 1 represents the standard grid voltage, and U 2 represents the real-time grid voltage.
Further, the formula according to which the temperature correction coefficient is generated according to the standard ambient temperature, the standard grid voltage, the real-time ambient temperature and the real-time grid voltage is as follows:
Wherein: delta represents a temperature correction coefficient, T 1 represents a standard ambient temperature, and T 2 represents a real-time ambient temperature.
Further, the first battery power is corrected according to the temperature correction coefficient, and a formula according to which the corrected power increase rate is generated is as follows:
Wherein: Δq represents the rate of charge increase, Q represents the first battery charge, U 1 represents the standard grid voltage, and U 2 represents the real-time grid voltage.
Further, the formula according to which the temperature increase rate is generated according to the standard battery temperature and the first battery temperature is:
Wherein: Δt represents the temperature increase rate, T represents the first battery temperature, T 1 represents the standard ambient temperature, and T 2 represents the real-time ambient temperature.
Further, the corrected electric quantity increase rate and the corrected temperature increase rate are respectively compared with an electric quantity deviation threshold value and a temperature deviation threshold value, and a formula on which the electric quantity error rate is generated is as follows:
γQ＝△Q-Q
The formula from which the temperature error rate is generated is:
γT＝△T-T
Wherein: gamma Q denotes a charge error rate, Δq denotes a charge increase rate, Q denotes a first battery charge, gamma T denotes a temperature error rate, Δt denotes a temperature increase rate, and T denotes a first battery temperature.
Further, generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, and comparing the comprehensive judgment index with a threshold value according to the formula:
σ＝0.4γQ+0.6γT
wherein: σ denotes the integrated judgment index, γ Q denotes the power error rate, and γ T denotes the temperature error rate.
The invention further provides an electric automobile charging early warning system, which is used for realizing the electric automobile charging early warning method, and comprises the following steps:
The environment data acquisition module: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
standard data acquisition module: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the real-time electric quantity as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time;
The early warning data acquisition module: setting k time after starting charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time;
And a data analysis module: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity increase rate according to the standard battery electric quantity and the first battery electric quantity, generating a temperature increase rate according to the standard battery temperature and the first battery temperature, and calculating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature, the standard power grid voltage, the real-time environment temperature and the real-time power grid voltage;
And a deviation correction module: correcting the electric quantity increase rate according to the electric quantity correction coefficient to generate a corrected electric quantity increase rate; correcting the temperature increase rate according to the temperature correction coefficient to generate a corrected temperature increase rate;
and the comprehensive treatment module is used for: comparing the corrected electric quantity increase rate and the corrected temperature increase rate with an electric quantity deviation threshold value and a temperature deviation threshold value respectively to generate an electric quantity error rate and a temperature error rate respectively; and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, monitoring factors of an electric vehicle charging early warning system are divided into charging electric quantity and battery temperature in a period of time, a time-electric quantity curve and a time-temperature curve are constructed, and real-time electric quantity and real-time battery temperature are respectively compared with standard electric quantity and standard battery temperature to obtain a time increase rate and a temperature increase rate; in specific implementation, the influence of environmental factors is corrected by generating a time correction coefficient and a temperature correction coefficient, and whether the battery is normally charged is judged by comparing the time increase rate, the temperature increase rate and the threshold value after correction. According to the invention, through the time correction coefficient and the temperature correction coefficient, the influence of environmental factors including the environmental temperature and the power grid voltage on the rechargeable battery is effectively reduced, so that the battery of the electric automobile can be accurately charged and pre-warned.
Drawings
FIG. 1 is a flow chart of a method for early warning of electric vehicle charging according to an embodiment of the invention;
fig. 2 is a system block diagram of an electric vehicle charging early warning according to an embodiment of the present invention.
Detailed Description
The present invention will be further described in detail with reference to specific embodiments in order to make the objects, technical solutions and advantages of the present invention more apparent.
It is to be noted that unless otherwise defined, technical or scientific terms used herein should be taken in a general sense as understood by one of ordinary skill in the art to which the present invention belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "up", "down", "left", "right" and the like are used only to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed accordingly.
Examples:
Referring to fig. 1, the invention provides a battery charging early warning scheme and system for an electric vehicle, which solves the problem of abnormality generated during charging of the electric vehicle, and specifically comprises the following steps:
Step 1: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
the time-power curve generation: charging in fixed environment data, and recording the battery power corresponding to each time point; the collected data are arranged into a sequence, so that the sequence is ensured according to the time sequence; drawing the time and electric quantity data into a time-electric quantity graph;
the time-temperature curve is generated: charging in fixed environment data, and recording the battery temperature corresponding to each time point; the collected data are arranged into a sequence, so that the sequence is ensured according to the time sequence; time and battery temperature data are plotted as a time-temperature graph.
In the embodiment, when the ambient temperature (20 ℃) and the grid voltage (220V) are fixed and a battery with the electric quantity of 0% is charged to 100%, the current battery electric quantity is collected at intervals, the battery self-electric quantity can be found to rise along a certain curve along the time change, the battery electric quantity is taken as an abscissa in a coordinate system, the charging time is taken as an ordinate, and the curve is drawn, so that a time-electric quantity curve under the standard environment can be obtained; the current battery temperature is acquired at intervals, the temperature of the battery rises along a certain curve along with the time change, the battery temperature is taken as an abscissa in a coordinate system, and the charging time is taken as an ordinate to draw the curve, so that a time-temperature curve under a standard environment can be obtained.
Step 2: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the battery temperature as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time.
In this embodiment, the purposes of setting the standard electric quantity, the standard charging time and the standard battery temperature are as follows: the standard electric quantity can be regarded as a basic independent variable, the independent variable is substituted into a time-electric quantity curve under the standard environment, the time when the battery electric quantity is charged to the standard electric quantity under the standard environment can be obtained, the time is the standard charging time, the standard charging time is substituted into a time-temperature curve, the temperature which the battery should have when the charging time is reached under the standard environment can be obtained, the temperature is the standard battery temperature, the standard electric quantity, the standard charging time and the standard battery temperature are obtained, and the standard value can be referred to when the electric quantity correction and the temperature correction are carried out afterwards.
Step 3: and setting k time after the start of charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time.
In this embodiment, the battery power and the battery temperature corresponding to the early warning time may be regarded as the battery power and the battery temperature during actual charging, and are also the battery power and the battery temperature to be corrected.
Step 4: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity increase rate according to the standard battery electric quantity and the first battery electric quantity Q, generating a temperature increase rate according to the standard battery temperature and the first battery temperature T, and calculating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature T 1, the standard power grid voltage U 1, the real-time environment temperature T 2 and the real-time power grid voltage U 2;
The electric quantity correction coefficient:
the temperature correction coefficient:
in this embodiment, the calculation principle of the correction coefficient and the deviation threshold value is as follows:
The power deviation threshold: collecting electric quantity data of the electric automobile at a standard moment and a plurality of early warning moments, and calculating an average value and a standard deviation of electric quantity deviation; determining an optimal electric quantity deviation threshold according to the calculation result and the historical charging data;
the temperature deviation threshold: collecting battery temperature data of the electric automobile at a standard moment and a plurality of early warning moments, and calculating an average value and a standard deviation of battery temperature deviation; and determining an optimal temperature deviation threshold according to the calculation result and the historical charging data.
The electric quantity correction coefficient: the actual power grid voltage T 2 is less than or equal to the standard power grid voltage T 1, and the purpose of setting the electric quantity correction coefficient is to reduce the actual electric quantity in equal proportion according to the proportion of the voltage when the actual voltage is smaller, so thatCorrecting the actual battery power;
The temperature correction coefficient: the purpose of setting the temperature coefficient is to scale the battery temperature in equal proportion with the proportion of the temperature when the actual temperature is different from the standard temperature, and the magnitude relation between the actual temperature and the standard temperature is not determined, so that the coefficient is constructed by using an exponential function; when the ambient temperature T 2 is higher than the standard temperature T 1, the actual battery temperature is higher than the standard battery temperature, so that To correct the actual battery temperature, the actual charge rate is slowed down when the ambient temperature T 2 is less than the standard temperature T 1, and the actual battery temperature is lower than the standard battery temperature, so that/>To correct the actual battery temperature.
Step 5: correcting the electric quantity according to the electric quantity correction coefficient to obtain a corrected electric quantity increase rate:
correcting the temperature according to the temperature correction coefficient to obtain the corrected temperature increase rate:
In this embodiment, the actual electric quantity and the standard electric quantity are affected by the ambient temperature and the grid voltage, so that an error is generated, and the electric quantity correction coefficient is a quantized representation for correcting the error, that is, the electric quantity correction coefficient is multiplied by the actual electric quantity Q, so that an electric quantity with scaled equal proportion can be obtained, that is, an electric quantity increase rate; the actual battery temperature and the standard battery temperature also generate errors, and the actual battery temperature is corrected by the temperature correction coefficient, namely the temperature increase rate is obtained by multiplying the temperature correction coefficient by the actual battery temperature T.
Step 6: comparing the corrected electric quantity increase rate and the corrected temperature increase rate with the electric quantity of the first battery and the temperature of the first battery respectively to generate an electric quantity error rate and a temperature error rate respectively;
γQ＝△Q-Q
γT＝△T-T
the electric quantity error rate is obtained by subtracting the electric quantity of the first battery from the corrected electric quantity, and the higher the electric quantity increase rate is, the larger the electric quantity error rate is;
the temperature error rate is obtained by subtracting the first battery temperature from the corrected battery temperature, and the higher the temperature increase rate is, the higher the temperature error rate is.
Step 7: and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a deviation threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
The comprehensive judgment index:
σ＝0.4γQ+0.6γT
In this embodiment, two indexes of battery power and battery temperature are comprehensively considered to be influenced by environmental factors, so that the comprehensive judgment index is comprehensively obtained by a power error rate and a temperature error rate, and the comprehensive judgment index is positively correlated with the power error rate and the temperature error rate, and the larger the error rate is, the larger the comprehensive judgment index is; the variation amplitude of the battery electric quantity is often larger than that of the battery temperature, so that the ratio of the electric quantity error rate is reduced for balancing the battery electric quantity error rate and the comprehensive judgment index is more accurate.
Referring to fig. 2, the present invention further provides an electric vehicle charging early warning system, where the system is configured to implement the above electric vehicle charging early warning method, and the method includes:
The environment data acquisition module: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
standard data acquisition module: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the real-time electric quantity as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time;
The early warning data acquisition module: setting k time after starting charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time;
And a data analysis module: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity increase rate according to the standard battery electric quantity and the first battery electric quantity, generating a temperature increase rate according to the standard battery temperature and the first battery temperature, and calculating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature, the standard power grid voltage, the real-time environment temperature and the real-time power grid voltage;
and a deviation correction module: correcting the electric quantity according to the electric quantity correction coefficient to obtain a corrected electric quantity increase rate; correcting the temperature according to the temperature correction coefficient to obtain a corrected temperature increase rate;
and the comprehensive treatment module is used for: comparing the corrected electric quantity increase rate and the corrected temperature increase rate with an electric quantity deviation threshold value and a temperature deviation threshold value respectively to generate an electric quantity error rate and a temperature error rate respectively; and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application.
Claims (9)
1. The electric automobile charging early warning method is characterized by comprising the following specific steps of:
Step 1: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
Step 2: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the real-time electric quantity as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time;
Step 3: setting k time after starting charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time;
Step 4: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature, the standard power grid voltage, the real-time environment temperature and the real-time power grid voltage;
Step 5: correcting the electric quantity according to the electric quantity correction coefficient to generate a corrected electric quantity increase rate; correcting the temperature according to the temperature correction coefficient to generate a corrected temperature increase rate, and comparing the corrected electric quantity increase rate and the corrected temperature increase rate with an electric quantity deviation threshold value and a temperature deviation threshold value respectively to generate an electric quantity error rate and a temperature error rate respectively;
Step 6: and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
2. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: the fixed ambient temperature in the step 1 is as follows: 20 ℃; the fixed grid voltage is: 220V.
3. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: in the step 4, the formula according to which the electric quantity correction coefficient is generated according to the standard ambient temperature, the standard power grid voltage, the real-time ambient temperature and the real-time power grid voltage is as follows:
Where ε represents the power correction factor, U 1 represents the standard grid voltage, and U 2 represents the real-time grid voltage.
4. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: in the step 4, the formula according to which the temperature correction coefficient is generated according to the standard ambient temperature, the standard power grid voltage, the real-time ambient temperature and the real-time power grid voltage is as follows:
Wherein: delta represents a temperature correction coefficient, T 1 represents a standard ambient temperature, and T 2 represents a real-time ambient temperature.
5. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: in the step 5, the first battery power is corrected according to the temperature correction coefficient, and the formula according to which the corrected power increase rate is generated is as follows:
Wherein: Δq represents the rate of charge increase, Q represents the first battery charge, U 1 represents the standard grid voltage, and U 2 represents the real-time grid voltage.
6. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: the formula according to which the temperature increase rate is generated according to the standard battery temperature and the first battery temperature in the step 5 is as follows:
Wherein: Δt represents the temperature increase rate, T represents the first battery temperature, T 1 represents the standard ambient temperature, and T 2 represents the real-time ambient temperature.
7. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: in the step 5, the corrected electric quantity increase rate and the corrected temperature increase rate are compared with an electric quantity deviation threshold and a temperature deviation threshold respectively, and the formula on which the electric quantity error rate is generated is as follows:
γQ＝△Q-Q
The formula from which the temperature error rate is generated is:
γT＝△T-Y
Wherein: gamma Q denotes a charge error rate, Δq denotes a charge increase rate, Q denotes a first battery charge, gamma T denotes a temperature error rate, Δt denotes a temperature increase rate, and T denotes a first battery temperature.
8. The method for early warning of electric vehicle charging according to claim 1, wherein the method comprises the following steps: in the step 6, a comprehensive judgment index is generated according to the electric quantity error rate and the temperature error rate, and the formula based on the comparison of the comprehensive judgment index and the threshold value is as follows:
σ＝0.4γQ+0.6γT
wherein: σ denotes the integrated judgment index, γ Q denotes the power error rate, and γ T denotes the temperature error rate.
9. An electric vehicle charging early warning system, characterized in that the early warning system is used for implementing the electric vehicle charging early warning method according to any one of claims 1-8, comprising:
The environment data acquisition module: in fixed environmental data, measuring the change data of battery electric quantity of the electric automobile battery along with time in a complete charging process of 0-100%, and generating a time-electric quantity curve; measuring the change data of the battery temperature of the electric automobile battery along with time in the complete charging process of 0-100%, and generating a time-temperature curve; the fixed environment data includes: a fixed ambient temperature and a fixed grid voltage;
standard data acquisition module: at a time t after the start of charging, acquiring the real-time electric quantity of the battery, setting the real-time electric quantity as a standard electric quantity, finding the time corresponding to the standard electric quantity in a time-electric quantity curve, setting the real-time electric quantity as a standard charging time, finding the battery temperature corresponding to the standard charging time in a time-temperature curve, setting the real-time electric quantity as a standard battery temperature, and collecting the environment temperature and the power supply voltage at the standard time;
The early warning data acquisition module: setting k time after starting charging as early warning time, and collecting battery electric quantity, battery temperature, environment temperature and power supply voltage at the early warning time;
and a data analysis module: generating an electric quantity deviation threshold value and a temperature deviation threshold value according to the electric quantity data and the battery temperature acquired at the standard charging time and the early warning time; finding electric quantity data corresponding to the early warning moment in the time-electric quantity curve, and recording the electric quantity data as the electric quantity of the first battery; finding temperature data corresponding to the early warning moment in a time-temperature curve, and recording the temperature data as the temperature of the first battery; generating an electric quantity increase rate according to the standard battery electric quantity and the first battery electric quantity, generating a temperature increase rate according to the standard battery temperature and the first battery temperature, and generating an electric quantity correction coefficient and a temperature correction coefficient according to the standard environment temperature, the standard power grid voltage, the real-time environment temperature and the real-time power grid voltage;
And a deviation correction module: correcting the electric quantity according to the electric quantity correction coefficient to generate a corrected electric quantity increase rate; correcting the temperature according to the temperature correction coefficient to generate a corrected temperature increase rate;
and the comprehensive treatment module is used for: comparing the corrected electric quantity increase rate and the corrected temperature increase rate with an electric quantity deviation threshold value and a temperature deviation threshold value respectively to generate an electric quantity error rate and a temperature error rate respectively; and generating a comprehensive judgment index according to the electric quantity error rate and the temperature error rate, comparing the comprehensive judgment index with a threshold value, and carrying out early warning if the comprehensive judgment index exceeds the threshold value.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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