Intelligent power supply heating system and method based on power supply state

Abstract

The invention discloses a power supply intelligent heating system and method based on a power supply state, relates to the technical field of power supply heating, and solves the problems that in the prior art, temperature data needs to be continuously obtained and whether a target temperature is reached needs to be analyzed in the battery heating process, the process is tedious, the battery heating temperature cannot be obtained in real time, excessive heating is easily caused, and the battery heating efficiency is high. And the battery is damaged. Power supply information is collected, and a power supply state is analyzed; judging whether the power supply temperature is lower than a preset temperature threshold; if yes, analyzing the temperature generated by the power supply in different states; calculating a temperature difference from the current temperature of the power supply to a target temperature, and marking the temperature difference as a temperature compensation amount; based on the temperatures generated by the power supply in different states, the heating duration of auxiliary heating required by the temperature compensation amount is calculated; if not, not processing; accurate intelligent control over power supply heating is achieved, the problem of excessive heating or insufficient heating is avoided, and it is ensured that the power supply operates within the optimal temperature range.

Description

Technical Field

[0001] The present invention belongs to the field of power supply heating, and specifically relates to a power intelligent heating system and method based on the power supply state. Background Art

[0002] The patent application of the invention with the publication number CN119447600A discloses an intelligent battery low-temperature rapid heating method, system, device and storage medium, including: obtaining the battery temperature and battery state information of the target battery, and the battery state information includes the SOC state and the battery open-circuit voltage; when the battery temperature is less than the preset target temperature, determining the EIS impedance spectrum according to the battery temperature and the SOC state, and determining the target equivalent circuit model according to the EIS impedance spectrum; updating the parameters of the target equivalent circuit model through a global optimization algorithm to obtain equivalent circuit parameters; updating the pulse parameters according to the equivalent circuit parameters, the battery open-circuit voltage and the preset boundary conditions, and performing variable bidirectional pulse cycle heating on the target battery according to the pulse parameters.

[0003] The above-mentioned prior art obtains the battery temperature of the target battery at each preset temperature update time interval; compares the obtained battery temperature with the target temperature to judge whether to continue heating or end heating. This heating process needs to continuously obtain temperature data and analyze whether the target temperature is reached, and the process is relatively cumbersome. The battery heating temperature cannot be obtained in real time, which easily leads to overheating and damage to the battery. Therefore, the present invention provides a power intelligent heating system and method based on the power supply state. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a power intelligent heating system and method based on the power supply state, which is used to solve the technical problems that in the prior art, it is necessary to continuously obtain temperature data and analyze whether the target temperature is reached during the battery heating process, and this process is relatively cumbersome, the battery heating temperature cannot be obtained in real time, and it is easy to cause overheating and damage to the battery.

[0005] To achieve the above object, the first aspect of the present invention provides a power intelligent heating system based on the power supply state, including a state analysis module and a heating module;

[0006] The state analysis module: is used to collect power supply information and analyze the power supply state; wherein, the power supply information includes current, voltage and SOC; the power supply state includes a charging state, a discharging state and a full charge state;

[0007] The heating module: is used to judge whether the power supply temperature is lower than a preset temperature threshold; if not, no processing is performed; if so, analyze the temperature generated by the power supply itself in different states;

[0008] Calculate the temperature difference between the current temperature of the power supply and the target temperature, which is marked as the temperature compensation amount; based on the temperature generated by the power supply itself in different states, calculate the heating duration of the auxiliary heating required for the temperature compensation amount.

[0009] Preferably, the analysis of the power supply state includes:

[0010] Collect the current and voltage of the power supply in real time, respectively plot the current change curve and the voltage change curve, and obtain the change trends of the current and voltage;

[0011] Based on the collected current, through the formula SOC k = SOC k-1 -Σ k (I k ×Δt) / Q max calculate the SOC of the power supply; where k is the number of the acquisition period, k = 0, 1,..., N, and N is a positive integer; SOC k-1 is the state of charge of the (k - 1)th acquisition period; I k is the current of the kth acquisition period; Δt is the acquisition period; Q max is the total battery capacity;

[0012] Based on the changes in the current, voltage, and SOC of the power supply, determine the power supply state.

[0013] In the present invention, by plotting the change curves of the current and voltage, the dynamic changes of the output characteristics of the power supply can be intuitively observed, making the change trend of the power supply state clear at a glance and facilitating the quick identification of abnormal situations; based on the real-time collected current data and combined with the total battery capacity, the SOC of the power supply can be accurately calculated. This index is of great significance for evaluating the remaining battery power, predicting the battery life, and preventing overcharging or over-discharging of the battery, etc.; through the real-time current, voltage data and SOC of the power supply, accurately evaluate the current state of the power supply.

[0014] Preferably, the heating duration of the auxiliary heating required for calculating the temperature compensation amount includes:

[0015] When the current power supply state is in the charging state or the discharging state, obtain the current state and SOC value of the power supply, and determine the state period in which the current power supply is located based on the SOC value range corresponding to each state period;

[0016] Calculate the heating duration TS required for the current power supply for auxiliary heating through the formula TS = {ZR - DR - Σ[CRi × (SOC1i - SOC2i) × SQi]} / WL;

[0017] Wherein, ZR is the target temperature; DR is the temperature of the current power supply; i is the state cycle of the power supply; SOC1i is the initial SOC value of state cycle i, and SOC2i is the final SOC value of state cycle i; CRi is the temperature change per unit SOC of state cycle i; SQi is the SOC change per unit time of state cycle i; WL is the temperature change per unit time of auxiliary heating; the state cycle includes the initial charging stage, the middle charging stage, the end charging stage, the initial discharging stage, the middle discharging stage, and the end discharging stage;

[0018] When the current power supply state is fully charged, calculate the ratio between the temperature compensation amount and the temperature change corresponding to the unit SOC change of the auxiliary heating to obtain the heating duration when the power supply is in the fully charged state.

[0019] By real-time monitoring the SOC value of the power supply and comparing it with the SOC value range corresponding to each state cycle, the present invention can accurately identify the current state cycle of the power supply, laying a foundation for analyzing the temperature generated by the power supply itself; when calculating the current state cycle of the power supply, the heat that can be generated by itself is calculated to obtain the difference from the target temperature, and then the temperature that the power supply needs for auxiliary heating is calculated. Based on the heating power of the auxiliary heating, the heating duration of the auxiliary heating is obtained, realizing precise heating control of the power supply, avoiding power damage or performance degradation caused by overheating, and at the same time reducing unnecessary energy consumption. This not only helps to improve the efficiency and stability of the power supply, but also effectively extends the service life of the power supply.

[0020] When calculating the heating duration using the formula, multiple factors are considered, including the target temperature, the current temperature, the SOC change of each state cycle and its corresponding temperature change amount, etc. This comprehensive consideration makes the calculation of the heating duration more intelligent and precise, avoiding the situation of overheating or underheating.

[0021] Preferably, the method for obtaining the SOC value range corresponding to each state cycle includes the following steps:

[0022] Extract a number of voltage data and SOC values under different power supply states from historical data, respectively fit the voltage data under different power supply states to obtain several historical voltage curves of each power supply state, analyze the change trend of the historical voltage curves of each power supply state, and divide the process of each power supply state into several state cycles; wherein, each voltage data corresponds to an SOC value;

[0023] Extract the SOC value corresponding to the voltage at the end time point of each state cycle, calculate the mean value of several SOC values at the end time point of each state cycle to obtain the SOC value at the end time point of each state cycle, and mark it as the final SOC value;

[0024] Obtain the SOC value range corresponding to each state period based on the initial SOC value and the final SOC value.

[0025] The present invention fits the historical voltage data to obtain the historical voltage curve of each power supply state. This process reflects the law of voltage change over time and further divides the state period. By extracting the SOC value corresponding to the voltage at the end time point of each state period and calculating its mean value as the final SOC value, this method can accurately define the SOC value range corresponding to each state period. Based on the accurate state period division and SOC value range definition, this method provides a scientific basis for power management decision-making.

[0026] Preferably, the final SOC value of each state period is the SOC value at the start time point of the next state period, denoted as the initial SOC value.

[0027] Preferably, analyzing the change trend of the historical voltage curve of each power supply state and dividing the process of each power supply state into several state periods includes:

[0028] Calculate the slope between two adjacent points on the historical voltage curve; determine whether the absolute value of the slope exceeds a preset threshold range; if so, if the slope is positive, mark the two adjacent points as significantly rising points; if the slope is negative, mark the two adjacent points as significantly falling points;

[0029] If not, determine whether the absolute value of the slope is lower than the preset threshold range; if so, mark the two adjacent points as stable points; if not, if the slope is positive, mark the two adjacent points as slightly rising points; if the slope is negative, mark the two adjacent points as slightly falling points;

[0030] Mark the time period composed of consecutive significantly rising points as the initial charging period; mark the time period composed of consecutive slightly rising points as the middle charging period;

[0031] Mark the time period composed of consecutive slightly falling points as the initial discharging period; mark the time period composed of consecutive significantly falling points as the middle discharging period;

[0032] Mark the time period composed of consecutive stable points as the end period of charging / discharging.

[0033] This method of the present invention can accurately identify the change of the power supply state, such as a large rise / fall, a small rise / fall or stability in a certain period of time, by calculating the slope between two adjacent points on the historical voltage curve and comparing the absolute value of the slope with the preset threshold range, and can delimit the state period under each power supply state according to the change trend of the voltage of different power supply states.

[0034] Preferably, the temperature change amount of the unit SOC of state period i is obtained by the following method, including the following steps:

[0035] Extract the temperature data of several state cycles i from the historical data;

[0036] Calculate the difference between the temperature data at the end of the state cycle i and the temperature data at the initial moment to obtain the temperature difference;

[0037] Calculate the average value of the temperature differences of several state cycles i to obtain the temperature change amount of the state cycle i, and calculate the ratio of the temperature change amount of the state cycle i to the corresponding SOC change amount to obtain the temperature change amount corresponding to the unit SOC change amount of the state cycle i.

[0038] Preferably, the extraction of several temperature data of the state cycle i from the historical data is the temperature change data within the SOC value range corresponding to the state cycle i.

[0039] The present invention extracts the temperature change data within the SOC change range corresponding to the power supply in the state cycle i, ensuring the comprehensiveness and integrity of the data, which helps to more accurately reflect the temperature change characteristics of the power supply during the entire charge and discharge cycle, providing a solid foundation for subsequent analysis and decision-making; by analyzing the temperature change amount corresponding to the unit SOC change amount, the temperature change amount can be obtained according to the change amount of SOC.

[0040] Preferably, the method for obtaining the SOC change amount per unit time of the state cycle i includes the following steps:

[0041] Based on several historical voltage curves, obtain the charge / discharge duration of several state cycles i, calculate the average value of the charge / discharge duration to obtain the duration of the state cycle i;

[0042] Calculate the ratio of the SOC change amount of the state cycle i to the corresponding duration to obtain the SOC change amount per unit time of the state cycle i.

[0043] Preferably, a second aspect of the present invention provides a power intelligent heating method based on the power supply state, including the following steps:

[0044] Collect power supply information and analyze the power supply state;

[0045] Judge whether the power supply temperature is lower than the preset temperature threshold; if not, do nothing; if so, analyze the temperature generated by the power supply itself in different states;

[0046] Calculate the temperature difference from the current power supply temperature to the target temperature, marked as the temperature compensation amount; based on the temperature generated by the power supply itself in different states, calculate the heating duration required for auxiliary heating of the temperature compensation amount.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] The state analysis module of the present invention can comprehensively collect key information such as the current, voltage, and SOC of the power supply. By monitoring these parameters in real time, it can accurately determine the current working state of the power supply, providing reliable data support for subsequent analysis and processing; when the heating module analyzes that the current temperature of the power supply is lower than the preset temperature threshold and auxiliary heating is required, before performing the auxiliary heating, it first considers the amount of temperature generated by the power supply itself during the state cycle, so as to decide whether to start the auxiliary heating; based on the temperature generated by the power supply in different states and the required temperature compensation amount, the heating module can accurately calculate the heating duration required for the auxiliary heating. By intelligent temperature control and accurate calculation of the heating duration, it can avoid too long or too short heating time, ensure that the power supply works within an appropriate temperature range, and is of great significance for improving the performance and stability of the power supply, extending the service life of the power supply, improving energy utilization efficiency, and reducing maintenance costs, optimizing the power management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0050] Figure 1 It is a schematic flow chart of the method for dividing the state cycle of the present invention;

[0051] Figure 2 It is a schematic flow chart of the method for analyzing the temperature change amount per unit SOC of the present invention;

[0052] Figure 3 It is a schematic flow chart of the intelligent heating method for the power supply of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0054] The first aspect embodiment of the present invention provides a power supply intelligent heating system based on the power supply state, including a state analysis module and a heating module;

[0055] The state analysis module collects power supply information and analyzes the power supply state; among them, the battery information includes current and voltage; the power supply state includes a charging state, a discharging state, and a full charge state;

[0056] Specifically, the current and voltage of the power supply are collected in real time, the current change curve and voltage change curve are respectively plotted, and the change trends of the current and voltage are obtained;

[0057] Based on the collected current, through the formula SOC k = SOC k-1 -Σ k (I k ×Δt) / Q max the SOC of the power supply is calculated; where k is the number of the acquisition period, k = 0, 1, …, N, and N is a positive integer; SOC k-1 is the state of charge of the (k - 1)-th acquisition period; I k is the current of the k-th acquisition period; Δt is the acquisition period; Q max is the total battery capacity;

[0058] Based on the changes in the current, voltage, and SOC of the power supply, the power supply state is determined.

[0059] Charging state:

[0060] Current: negative value; Voltage: gradually rising; SOC: gradually increasing;

[0061] Discharging state:

[0062] Current: positive value; Voltage: gradually falling; SOC: gradually decreasing;

[0063] Full charge judgment: Current: close to 0; Voltage: reaches the full charge voltage; SOC: close to 100%.

[0064] The heating module determines whether the power supply temperature is lower than the preset temperature threshold; if so, based on the power supply state, the heating duration of the power supply is calculated to heat the power supply; if not, no processing is performed.

[0065] Specifically, when the current power supply state is in the charging state or discharging state, the calculation of the heating duration for auxiliary heating of the power supply includes:

[0066] Obtain the current power supply state and SOC value, and based on the SOC value range corresponding to each state period, determine the state period to which the current power supply belongs;

[0067] Among them, the process of obtaining the SOC value range corresponding to each state period is as follows:

[0068] Extract a number of voltage data and SOC values in different power supply states from historical data, respectively fit the voltage data in different power supply states to obtain several historical voltage curves of each power supply state, analyze the change trend of the voltage, and divide the process of each power supply state into several state periods; among them, each voltage data corresponds to an SOC value;

[0069] Please refer to Figure 1 , calculate the slope between two adjacent points of the historical voltage curve; determine whether the absolute value of the slope exceeds a preset threshold range; if so, if the slope is positive, mark the two adjacent points as significantly rising points; if the slope is negative, mark the two adjacent points as significantly falling points;

[0070] If not, determine whether the absolute value of the slope is lower than the preset threshold range; if so, mark the two adjacent points as stable points; if not, if the slope is positive, mark the two adjacent points as slightly rising points; if the slope is negative, mark the two adjacent points as slightly falling points;

[0071] Mark the time period composed of consecutive significantly rising points as the initial charging stage; mark the time period composed of consecutive slightly rising points as the middle charging stage;

[0072] Mark the time period composed of consecutive slightly falling points as the initial discharging stage; mark the time period composed of consecutive significantly falling points as the middle discharging stage;

[0073] Mark the time period composed of consecutive stable points as the end stage of charging / discharging.

[0074] It should be noted that the above method for dividing the state cycles of charging / discharging is determined based on the change characteristics of the voltage during charging / discharging; during voltage charging, in the initial stage: rapid rise, in the middle stage: slow rise, in the end stage: the voltage is near the maximum charging voltage and tends to be stable; during voltage discharging, in the initial stage: slow decline, in the middle stage: rapid decline, in the end stage: the voltage is near the minimum discharging voltage and tends to be stable.

[0075] Extract the SOC values corresponding to the voltages at the end time points of each state cycle, calculate the average value of several SOC values at the end time points of each state cycle, obtain the SOC values at the end time points of each state cycle, and mark them as the end SOC values; among them, the end SOC value of each state cycle is the SOC value at the start time point of the next state cycle, and is marked as the initial SOC value;

[0076] Obtain the SOC value range corresponding to each state cycle based on the initial SOC value and the end SOC value;

[0077] It should be noted that the initial SOC values in the initial charging stage and the initial discharging stage are 0.

[0078] For example: Assume that the SOC = 30% at the end of the initial charging stage, then the SOC value range of the initial charging stage is [0, 20%]; at the end of the middle charging stage: SOC = 80%, then the SOC value range of the middle charging stage is [30%, 80%]; at the end of the end charging stage: SOC = 100%, then the SOC value range of the end charging stage is [80%, 100%].

[0079] The heating duration TS required for auxiliary heating of the current power supply is calculated by the formula TS = {ZR - DR - Σ[CRi × (SOC1i - SOC2i) × SQi]} / WL;

[0080] where ZR is the target temperature; DR is the temperature of the current power supply; i is the state period of the power supply; SOC1i is the initial SOC value of state period i, SOC2i is the final SOC value of state period i; CRi is the temperature change per unit SOC of state period i; SQi is the SOC change per unit time of state period i; WL is the temperature change per unit time of auxiliary heating;

[0081] It should be noted that if the SOC of the current power supply is greater than the initial value of state period i, then SOC1i is the SOC of the current power supply.

[0082] For example: Assume that the SOC of the power supply charging state in each state period is: at the initial stage of charging: [0 - 30%], at the middle stage of charging: [30% - 80%], at the end stage of charging: [80% - 100%], i = 0 represents the initial stage, i = 1 represents the middle stage, i = 2 represents the end stage. If the current power supply is in the charging state and the SOC10 of the current power supply is 25%, then the SOC11 of the current power supply in the middle stage of charging is 30%, and the SOC12 of the end stage of charging is 80%.

[0083] The present invention controls the auxiliary heating duration, so that the power supply at low temperature in each state period rises from the current temperature to the target temperature, and the target temperature is the optimal temperature required for the power supply to work; because the power supply itself generates heat during charging and discharging, this part of the heat will also cause the power supply to heat up, and when the remaining temperature cannot be satisfied by itself, the auxiliary heating will perform temperature compensation on the power supply. Therefore, the power supply is adjusted to the target temperature through the heat generated by itself and the heat of the auxiliary heating; the auxiliary heating can heat the power supply through a heating relay, and the heating power of the auxiliary heating is determined according to the functional parameters of the heating device.

[0084] The auxiliary heating duration is the temperature compensation amount required by the current power supply minus the temperature generated by the power supply itself, that is, the heat generated by the current power supply until the end of charging or discharging, to obtain the temperature that the auxiliary heating needs to supply to the power supply. Divide the temperature that the auxiliary heating needs to supply by the heating power of the auxiliary heating, that is, the temperature change per unit time, to obtain the time of the power supply auxiliary heating.

[0085] It should be noted that if the heat generated by the power supply itself can meet the target temperature of the power supply, then no auxiliary heating is required.

[0086] Among them, the temperature change corresponding to the unit SOC change of state period i is obtained by the following method, including the following steps:

[0087] Please refer to Figure 2 , and extract the temperature data of several state cycles i from the historical data; among them, the temperature data is the temperature change data within the SOC value range corresponding to the state cycle i; for example, if extracting the historical temperature data at the initial stage of charging, then extract the temperature change data of the complete change cycle with the SOC change range of [0, 30%] at the initial stage of charging.

[0088] Calculate the difference between the temperature data at the end of the state cycle i and the temperature data at the initial moment to obtain the temperature difference.

[0089] Calculate the average value of the temperature differences of several state cycles i to obtain the temperature change amount of the state cycle i, and calculate the ratio of the temperature change amount of the state cycle i to the corresponding SOC change amount to obtain the temperature change amount corresponding to the unit SOC change amount of the state cycle i.

[0090] Furthermore, the method for obtaining the SOC change amount per unit time of the state cycle i is as follows:

[0091] Based on several historical voltage curves, obtain the charging / discharging duration of several state cycles i, calculate the average value of the charging / discharging duration to obtain the duration of the state cycle i.

[0092] Calculate the ratio of the SOC change amount of the state cycle i to the corresponding duration to obtain the SOC change amount per unit time of the state cycle i.

[0093] In addition, when the current power supply state is in a fully charged state, the power supply itself hardly generates heat, so only auxiliary heating is used to heat the power supply temperature to the target temperature.

[0094] Calculate the difference between the target temperature and the current power supply temperature, mark it as the temperature compensation amount, and then calculate the ratio between the temperature compensation amount and the temperature change amount corresponding to the unit SOC change amount of the auxiliary heating to obtain the heating duration when the power supply is in a fully charged state.

[0095] Please refer to Figure 3 , the second aspect of the present invention provides a power intelligent heating method based on the power supply state, including the following steps:

[0096] Step 1: Collect power supply information and analyze the power supply state;

[0097] Step 2: Determine whether the power supply temperature is lower than the preset temperature threshold; if not, do nothing; if so, analyze the temperature generated by the power supply itself in different states.

[0098] Calculate the temperature difference from the current power supply temperature to the target temperature, mark it as the temperature compensation amount; based on the temperature generated by the power supply itself in different states, calculate the heating duration required for the auxiliary heating for the temperature compensation amount.

[0099] Some of the data in the above formula are calculated by removing the dimension and taking their numerical values. The formula is the one closest to the actual situation obtained through software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0100] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power supply intelligent heating system based on power supply status, characterized in that: It includes a state analysis module and a heating module; Status analysis module: used to collect power information in real time and analyze the power status; the power status includes charging status, discharging status and full power status; Heating module: used to determine whether the power supply temperature is lower than the preset temperature threshold; if not, no processing is performed; if yes, the temperature generated by the power supply itself under different states is analyzed; The temperature difference between the current power supply temperature and the target temperature is calculated and marked as the temperature compensation amount; based on the temperature generated by the power supply itself in different states, the heating time of the auxiliary heating required for the temperature compensation amount is calculated.

2. The power supply intelligent heating system based on power supply status according to claim 1, characterized in that: The analyzing the power supply status includes: Extracting power information; wherein the power information includes current, voltage and SOC; Draw the current change curve and voltage change curve of the real-time collected current and voltage respectively to obtain the change trend of current and voltage; Based on the collected current, SOC is calculated by the formula k =SOC k-1 -Σ k (I k ×Δt) / Q max Calculate the power supply SOC of the kth acquisition cycle; where k is the number of the acquisition cycle, k = 0, 1, ..., N, N is a positive integer; SOC k-1 is the state of charge of the k-1th acquisition cycle; I k is the current of the kth acquisition cycle; Δt is the acquisition period; Q max is the total capacity of the battery; The power supply status is determined based on the changes in the current, voltage and SOC of the power supply.

3. The power supply intelligent heating system based on power supply status according to claim 2, characterized in that: The calculation of the heating time of the auxiliary heating required for the temperature compensation amount includes: When the current power state is in a charging state or a discharging state, the state and SOC value of the current power are obtained, and the state cycle of the current power is determined based on the SOC value range corresponding to each state cycle; The heating time TS required for auxiliary heating of the current power supply is calculated by the formula TS = {ZR-DR-Σ[CRi×(SOC1i-SOC2i)×SQi]} / WL; Among them, ZR is the target temperature; DR is the current power supply temperature; i is the power supply state cycle; SOC1i is the initial SOC value of state cycle i, SOC2i is the final SOC value of state cycle i; CRi is the temperature change per unit SOC of state cycle i; SQi is the SOC change per unit time of state cycle i; WL is the temperature change per unit time of auxiliary heating; the state cycle includes the initial charging, middle charging, final charging, initial discharging, middle discharging and final discharging; When the current power state is in a fully charged state, the ratio between the temperature compensation amount and the temperature change amount corresponding to the unit SOC change amount of the auxiliary heating is calculated to obtain the heating time when the power is in a fully charged state.

4. The power supply intelligent heating system based on power supply status according to claim 3, characterized in that: The method for obtaining the SOC value range corresponding to each state cycle includes the following steps: Extracting several voltage data and SOC values ​​under different power supply states from historical data, fitting the voltage data under different power supply states respectively, obtaining several historical voltage curves of each power supply state, analyzing the change trend of the historical voltage curve of each power supply state, and dividing the process of each power supply state into several state cycles; wherein each voltage data corresponds to an SOC value; Extract the SOC value corresponding to the voltage at the end time point of each state cycle, calculate the average of several SOC values ​​at the end time point of each state cycle, and obtain the SOC value at the end time point of each state cycle, which is marked as the final SOC value; The SOC value range corresponding to each state cycle is obtained based on the initial SOC value and the final SOC value.

5. The power supply intelligent heating system based on power supply status according to claim 4, characterized in that: The final SOC value of each state cycle is the SOC value at the start time of the next state cycle, which is marked as the initial SOC value.

6. The power supply intelligent heating system based on power supply status according to claim 4, characterized in that: The analysis of the change trend of the historical voltage curve of each power state divides the process of each power state into several state cycles, including: Calculate the slope between two adjacent points of the historical voltage curve; determine whether the absolute value of the slope exceeds a preset threshold range; if yes, then if the slope is positive, mark the two adjacent points as large-scale rising points; if the slope is negative, mark the two adjacent points as large-scale falling points; If not, determine whether the absolute value of the slope is lower than the preset threshold range; if yes, mark the two adjacent points as stable points; if not, if the slope is positive, mark the two adjacent points as small-amplitude rising points; if the slope is negative, mark the two adjacent points as small-amplitude falling points; The time period consisting of continuous large-amplitude rising points is marked as the early charging period; the time period consisting of continuous small-amplitude rising points is marked as the middle charging period; The time period consisting of continuous small-amplitude drops is marked as the early discharge period; the time period consisting of continuous large-amplitude drops is marked as the middle discharge period; The period consisting of continuous stable points is marked as the end of charge / discharge.

7. The power supply intelligent heating system based on power supply status according to claim 6, characterized in that: The temperature variation of the unit SOC in state cycle i is obtained in the following manner, including the following steps: Extract temperature data of several state periods i from historical data; Calculate the difference between the temperature data at the end of state cycle i and the temperature data at the initial time to obtain the temperature difference; The average of the temperature differences of several state cycles i is calculated to obtain the temperature change of state cycle i, and the ratio of the temperature change of state cycle i to the corresponding SOC change is calculated to obtain the temperature change corresponding to the unit SOC change of state cycle i.

8. The power supply intelligent heating system based on power supply status according to claim 7, characterized in that: The plurality of temperature data of state cycle i extracted from the historical data are temperature change data within the SOC value range corresponding to the state cycle i.

9. The power supply intelligent heating system based on power supply status according to claim 6, characterized in that: The method for obtaining the SOC change per unit time in state cycle i comprises the following steps: Based on several historical voltage curves, the charge / discharge duration of several state cycles i is obtained, the average of the charge / discharge duration is calculated, and the duration of the state cycle i is obtained; The ratio of the SOC change in state cycle i to the corresponding duration is calculated to obtain the SOC change per unit time in state cycle i.

10. A power supply intelligent heating method based on power supply status, based on the power supply intelligent heating system based on power supply status according to any one of claims 1 to 9, characterized in that: The following steps are involved: Collect power information and analyze power status; Determine whether the power supply temperature is lower than a preset temperature threshold; If not, no action will be taken; If yes, then analyze the temperature generated by the power supply itself under different states; The temperature difference between the current power supply temperature and the target temperature is calculated and marked as the temperature compensation amount; based on the temperature generated by the power supply itself in different states, the heating time of the auxiliary heating required for the temperature compensation amount is calculated.

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