Thermal management method for electric vehicle and mobile vehicle

Abstract

The invention discloses a thermal management method for an electric vehicle and a mobile vehicle. The thermal management method comprises the following steps: acquiring a temperature parameter and an environment temperature of the vehicle and management information of the vehicle; and the indoor temperature and the battery pack temperature of the vehicle are pre-adjusted according to the management information and the environment temperature of the vehicle. Relates to the technical field of heat management of new energy automobiles, and solves the technical problem that the utilization rate of batteries is not high when a vehicle is preheated in current heat automobile heat management. When an automobile user presets the temperature of the automobile, the adjusting sequence of the temperature inside the automobile and the temperature outside the automobile is determined according to the specific external environment of the automobile, the activity and safety of a battery in the automobile can be guaranteed under the extreme weather condition, the utilization rate of the battery is increased, and the service life of the battery is prolonged. And meanwhile, the temperature in the vehicle can be ensured, so that the user feels comfortable.

Description

Technical Field

[0001] The present invention belongs to the field of new energy vehicles and relates to thermal management technology, in particular to a thermal management method for electric vehicles and mobile transportation vehicles. Background Art

[0002] The thermal management of automobiles is mainly achieved through heat dissipation, heating, insulation and other means to ensure that different parts can work at the appropriate temperature to ensure the functional safety and service life of the automobile. Since a large amount of heat in electric vehicles comes from the battery pack of electric vehicles, the rational use of thermal energy in electric vehicles can significantly improve the endurance of electric vehicles. Therefore, thermal management of electric vehicles is more important. Electric vehicle thermal management mainly includes battery thermal management system, drive motor and motor controller thermal management system, and passenger compartment air conditioning system. The thermal management system of electric vehicles needs to ensure cooling, heating, defogger, defrost, driving comfort and other performance while improving thermal management efficiency as much as possible, thereby extending the driving range of electric vehicles as much as possible to meet the driver's demand for electric vehicles.

[0003] In summer, users generally cool down their vehicles in advance, and in winter they preheat their vehicles in advance to improve driving comfort. In related technologies, the thermal management system is relatively simple. When the temperature inside the car and the temperature of the battery pack are lower than the set temperature, the thermal management system increases the temperature of the corresponding area at the same time. When the temperature inside the car and the temperature of the battery pack are higher than the set temperature, the thermal management system lowers the temperature of the corresponding area at the same time. This method requires continuous temperature adjustment of the corresponding area regardless of summer or winter. When the temperature of the corresponding area reaches the threshold, the temperature control of the corresponding temperature is stopped. Affected by the environment, the temperature of the corresponding area will change again, and it is very likely that it will need to be adjusted again. In addition, in extreme weather conditions, the battery temperature is low and the activity is poor, and the battery utilization rate is not high. This method not only consumes too much power, but also seriously affects the vehicle's cruising range. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a thermal management method for electric vehicles and mobile transportation vehicles, which is used to solve the technical problem that the current thermal management of thermal vehicles has low battery utilization when preheating the vehicle. The present invention determines the adjustment order of the temperature inside the vehicle and the temperature outside the vehicle according to the specific external environment when the car user pre-adjusts the temperature of the vehicle. In more extreme weather conditions, the activity and safety of the battery in the car can be guaranteed, thereby improving the utilization rate of the battery and solving the above-mentioned problem.

[0005] To achieve the above objectives, a first aspect of the present invention provides a thermal management method for an electric vehicle and a mobile vehicle, comprising the following steps:

[0006] Step 1: Obtain the vehicle's temperature parameters, ambient temperature, and vehicle management information; the temperature parameters include the vehicle's interior temperature and battery pack temperature; the management information includes the vehicle's seat pressure information, the vehicle's air conditioning status, and the total pre-adjustment time;

[0007] Step 2: Divide and sort the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle to obtain a division result; wherein the division result includes the in-vehicle adjustment time, the out-vehicle adjustment time and the temperature adjustment sequence;

[0008] Step 3: Adjust the temperature adjustment sequence according to the vehicle interior temperature, preset temperature and seat pressure information; adjust the temperature of the battery pack according to the battery pack temperature.

[0009] Preferably, the dividing and sorting of the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle includes:

[0010] Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range;

[0011] Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment;

[0012] The in-vehicle adjustment time is obtained according to the total pre-adjustment time and the air-conditioning status in the vehicle; the difference between the total pre-adjustment time and the in-vehicle adjustment time is calculated to obtain the out-vehicle adjustment time.

[0013] It should be noted that when the matching interval belongs to the low temperature interval, in order to improve the activity of the battery and avoid excessive power consumption when adjusting the temperature inside the car due to low battery temperature, and the outside temperature belongs to the normal temperature interval, the default setting of the outside adjustment time is zero, then you only need to adjust the temperature inside the car, and the adjustment time at the rear in the adjustment sequence is actually a joint adjustment, that is, the outside adjustment in the inside adjustment-outside adjustment is actually a joint adjustment of the inside and outside of the car, and the inside adjustment in the outside adjustment-inside adjustment is actually a joint adjustment of the inside and outside of the car, and when the inside and outside of the car are adjusted together.

[0014] Preferably, the step of obtaining the in-vehicle adjustment time according to the total pre-adjustment time and the air conditioning state in the vehicle includes:

[0015] Extracting the air conditioning status in the vehicle; wherein the air conditioning status includes an off state and an on state;

[0016] Determine whether the operating state of the air conditioner is in the off state;

[0017] If yes, the in-car adjustment time is marked as 0;

[0018] No, then pass Calculate the in-vehicle adjustment time t 1 , where △T is the temperature inside the car T 1 With the preset temperature T 2 The difference between α and 0 is the temperature adjustment factor, and 5 ≥ α ≥ 0, C cabin is the heat capacity of the air inside the car, W η1 is the effective power of air conditioner, W η2 is the effective power of electric auxiliary heating;

[0019] It should be noted that by setting the temperature adjustment factor α, it is possible to avoid a large difference between the temperature inside the car and the temperature outside the car, which may cause discomfort to the elderly or children due to a sudden change in temperature after they enter the car. η The calculation method is the difference between the total power of the air conditioner and the heat loss power of the car. The effective power of the electric auxiliary heating in the car usually refers to the effective power of other heating equipment such as seat heating and steering wheel heating that can increase the temperature in the car, while the heat capacity of the air in the car C cabin The calculation method is the product of the volume of the interior space, the air density and the specific heat capacity of the air. When the interior temperature and the exterior temperature reach the user-set temperature T 2 After adding the temperature adjustment factor α and the temperature threshold preset by the manufacturer, the air conditioner and other equipment will operate at the lowest power.

[0020] Preferably, the method for obtaining the temperature adjustment factor α includes:

[0021] Extraction ambient temperature T 3 and preset temperature T 2 , through the formula α=|T 3 -T 2 |×a1×a2 to calculate the temperature adjustment factor; where a1 is the sensitivity coefficient; a2 is the age coefficient;

[0022] The sensitivity coefficient is obtained according to the sensitivity level-coefficient mapping table preset by the user, and the age coefficient a2 is obtained according to the highest or lowest age in the car filled in by the user, and is obtained through the formula Calculated;

[0023] Preferably, the dividing and sorting of the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle includes:

[0024] Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range;

[0025] Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment;

[0026] The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power are input into the temperature control model to obtain the in-vehicle adjustment time and the out-vehicle adjustment time; wherein, the temperature control model is obtained based on artificial intelligence model training.

[0027] Preferably, the method for obtaining the temperature adjustment model includes:

[0028] A training model is constructed based on a recurrent neural network and an attention mechanism is introduced. The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power as well as the corresponding in-vehicle adjustment time and outside-vehicle adjustment time are obtained through a database and constructed into several training data sets and test data sets. The training model is trained and tested respectively through the training data sets and the test data sets, and the accuracy is verified according to the model accuracy calculation formula: PR=TP / (TP+FP); the model is fine-tuned according to the accuracy verification result to obtain a time adjustment model; wherein PR represents the accuracy value of the log data anomaly detection model, TP represents the number of sample data detected correctly, and FP represents the number of sample data detected incorrectly.

[0029] Preferably, the temperature adjustment sequence is adjusted according to the vehicle interior temperature, the preset temperature and the seat pressure information, including:

[0030] Get the seat pressure information in the car;

[0031] Determine whether the temperature in the car is adjusted in order based on the seat pressure in the car;

[0032] When the seat pressure in the car is 0, the current temperature adjustment sequence is maintained;

[0033] When the seat pressure in the car is not 0, the current temperature adjustment order is obtained. If the current temperature adjustment order is in-car adjustment-out-car adjustment, the system jumps to out-car adjustment. If the current temperature adjustment order is out-car adjustment-in-car adjustment, the system jumps to in-car adjustment.

[0034] It should be noted that the above-mentioned jump to outside car adjustment means that no matter where the adjustment is currently done inside the car, it will jump to outside car adjustment at this time, that is, the temperature inside and outside the car is adjusted simultaneously, and after detecting that the seat pressure inside the car is not 0, the temperature inside the car is adjusted to the temperature set by the user.

[0035] Preferably, the adjusting the temperature of the battery pack according to the temperature of the battery pack includes:

[0036] Compare the current battery pack temperature with the preset temperature range; when the battery pack temperature is within the preset temperature range, no action is taken; when the battery pack temperature is above the preset temperature range, the battery pack temperature is lowered; when the battery pack temperature is below the preset temperature range, the battery pack temperature is increased.

[0037] Preferably, the continuous temperature adjustment according to the preset temperature range and the battery pack temperature includes:

[0038] After a preset time interval, determine whether the current battery pack temperature is within the preset temperature range; if yes, turn off the thermal management control system; if not, start the thermal management control system to adjust the battery pack temperature, wherein the thermal management control system is a product control system for adjusting the temperature on the car, including but not limited to PTC, heat pump combination, refrigerant refrigeration and other systems.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] (1) In the present invention, when the car user pre-adjusts the temperature of the vehicle, the adjustment order of the temperature inside the car and the temperature outside the car is determined according to the specific external environment. This can ensure the activity and safety of the battery in the car in extreme weather conditions to improve the battery utilization rate, while ensuring that the temperature inside the car is comfortable for the user. The temperature adjustment time inside the car and the temperature outside the car are determined according to the specific temperature inside the car and the battery pack temperature, thereby ensuring that the comfort of the occupants of the vehicle is further improved without wasting too much energy.

[0041] (2) In the present invention, by calculating the in-vehicle adjustment time t 1 , and set the temperature adjustment factor α. The calculated in-car adjustment time does not directly reach the temperature set by the user, but further reduces the large temperature difference between the inside and outside of the car caused by the user directly entering the vehicle without affecting the user's physical sensation, causing the user to feel uncomfortable due to the large temperature difference. At the same time, if the user enters the vehicle in advance, the seat pressure is not 0 at this time. At this time, the temperature adjustment sequence will jump directly to the last adjustment, that is, the inside and outside of the car are adjusted at the same time, so as to maximize the comfort while ensuring. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 This is a schematic diagram of the process of Example 1 of the present invention;

[0044] Figure 2 It is a schematic diagram of a process for dividing and sorting the total pre-adjustment time in Embodiment 1 of the present invention;

[0045] Figure 3 It is a schematic diagram of a process for dividing and sorting the total pre-adjustment time in Embodiment 2 of the present invention;

[0046] Figure 4 This is a schematic diagram of the process of Example 3 of the present invention. DETAILED DESCRIPTION

[0047] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1-Figure 4 ,

[0049] Example 1

[0050] A thermal management method for an electric vehicle and a mobile vehicle comprises the following steps:

[0051] Step 1: Obtain the vehicle's temperature parameters, ambient temperature, and vehicle management information; the temperature parameters include the vehicle's interior temperature and battery pack temperature; the management information includes the vehicle's seat pressure information, the vehicle's air conditioning status, and the total pre-adjustment time;

[0052] Step 2: Divide and sort the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle to obtain a division result; wherein the division result includes the in-vehicle adjustment time, the out-vehicle adjustment time and the temperature adjustment sequence;

[0053] Step 3: Adjust the temperature adjustment sequence according to the vehicle interior temperature, the preset temperature and the seat pressure information; adjust the temperature of the battery pack according to the battery pack temperature;

[0054] In this embodiment, the total pre-adjustment time is divided and sorted according to the ambient temperature and the temperature parameters of the vehicle, including:

[0055] Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range;

[0056] Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment;

[0057] The in-vehicle adjustment time is obtained according to the total pre-adjustment time and the air-conditioning status in the vehicle; the difference between the total pre-adjustment time and the in-vehicle adjustment time is calculated to obtain the out-vehicle adjustment time.

[0058] The temperature inside and outside the car is pre-adjusted according to the outside temperature. When the outside temperature is too low, the temperature of the battery pack is raised first, which can ensure full utilization of the electric energy of the vehicle battery. Existing new energy vehicles have many ways to increase the temperature inside the car and the temperature rises quickly. Therefore, this method will not seriously reduce the user experience and improve the utilization rate of electric energy. When the outside temperature is high, since the battery pack itself can withstand a certain high temperature, in order to further improve the user experience, it is prioritized to lower the temperature inside the car.

[0059] In this embodiment, the in-vehicle adjustment time is obtained according to the total pre-adjustment time and the air conditioning state in the vehicle, including:

[0060] Extracting the air conditioning status in the vehicle; wherein the air conditioning status includes an off state and an on state;

[0061] Determine whether the operating state of the air conditioner is in the off state;

[0062] If yes, the in-car adjustment time is marked as 0;

[0063] No, then pass Calculate the in-vehicle adjustment time t 1 , where △T is the temperature inside the car T 1 With the preset temperature T 2 The difference between α and 0 is the temperature adjustment factor, and 5 ≥ α ≥ 0, C cabin is the heat capacity of the air inside the car, W η1 is the effective power of air conditioner, W η2 is the effective power of electric auxiliary heating;

[0064] The method for obtaining the temperature adjustment factor α includes:

[0065] Extraction ambient temperature T 3 and preset temperature T 2 , through the formula α=|T 3 -T 2 |×a1×a2 to calculate the temperature adjustment factor; where a1 is the sensitivity coefficient; a2 is the age coefficient;

[0066] The sensitivity coefficient is obtained according to the sensitivity level - coefficient mapping table preset by the user. The age coefficient a2 is obtained based on the highest or lowest age Age filled in by the user in the vehicle, and is calculated through the formula Calculated;

[0067] In this embodiment, the sensitivity level - coefficient mapping table is shown in Table 1:

[0068]

[0069]

[0070] Table 1

[0071] Exemplarily, there are the following data: the in - vehicle temperature T1: 38 °C, the battery pack temperature: 40 °C, the ambient temperature (T3): 35 °C (high - temperature range), the preset temperature T2: 22 °C, the pre - adjustment total time: 30 minutes, the air - conditioner status: on (effective power W η1 = 5000W, the electric auxiliary heating power W η2 = 2000W, but not enabled in the high - temperature range). The in - vehicle air heat capacity C cabin : 2000 J / °C, the age input by the user: 25 years old (age coefficient a2 = 1), the user's sensitivity level: level 1 (sensitivity coefficient a = 0.1). According to the calculation, the temperature adjustment factor α = 1.6 °C, then the in - vehicle adjustment time t 1 = |16 + 1.6|×2000×60 / 5000≈422s;

[0072] In this embodiment, the temperature adjustment sequence is trimmed according to the in - vehicle temperature, the preset temperature, and the seat pressure information, including:

[0073] Obtain the in - vehicle seat pressure information;

[0074] Judge whether to adjust the temperature sequence in the vehicle according to the in - vehicle seat pressure;

[0075] When the in - vehicle seat pressure is 0, keep the current temperature adjustment sequence;

[0076] When the in - vehicle seat pressure is not 0, obtain the current temperature adjustment sequence. If the current temperature adjustment sequence is in - vehicle adjustment - out - of - vehicle adjustment, then jump to out - of - vehicle adjustment. If the current temperature adjustment sequence is out - of - vehicle adjustment - in - vehicle adjustment, then jump to in - vehicle adjustment.

[0077] In this embodiment, the temperature of the battery pack is adjusted according to the battery pack temperature, including:

[0078] Compare the current battery pack temperature with the preset temperature range; when the battery pack temperature is within the preset temperature range, no action is taken; when the battery pack temperature is above the preset temperature range, the battery pack temperature is lowered; when the battery pack temperature is below the preset temperature range, the battery pack temperature is increased.

[0079] Embodiment 2,

[0080] Different from the above embodiment, this embodiment further provides a method for dividing and sorting the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle, which specifically includes the following contents:

[0081] Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range;

[0082] Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment;

[0083] The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power are input into the temperature control model to obtain the in-vehicle adjustment time and the out-vehicle adjustment time; wherein, the temperature control model is obtained based on artificial intelligence model training.

[0084] Specifically, the method for obtaining the temperature regulation model includes:

[0085] A training model is constructed based on a recurrent neural network and an attention mechanism is introduced. The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power as well as the corresponding in-vehicle adjustment time and outside-vehicle adjustment time are obtained through a database and constructed into several training data sets and test data sets. The training model is trained and tested respectively through the training data sets and the test data sets, and the accuracy is verified according to the model accuracy calculation formula: PR=TP / (TP+FP); when the model accuracy reaches the preset accuracy requirement, the time adjustment model is obtained, and when the model accuracy does not reach the preset accuracy requirement, the model is fine-tuned according to the accuracy verification result; wherein PR represents the accuracy value of the log data anomaly detection model, TP represents the number of sample data detected correctly, and FP represents the number of sample data detected incorrectly.

[0086] The temperature adjustment model in this embodiment can also continuously obtain relevant data set by the user and perform continuous training, so that the time for adjusting inside and outside the vehicle can be more in line with the specific actual situation.

[0087] Example 3

[0088] Different from the above embodiment, this embodiment further includes step 4: continuously adjusting the temperature according to the preset temperature range and the battery pack temperature, including:

[0089] After a preset time interval, determine whether the current battery pack temperature is within the preset temperature range; if yes, turn off the thermal management control system; if not, start the thermal management control system to adjust the battery pack temperature, wherein the thermal management control system is a product control system for adjusting the temperature on the car, including but not limited to PTC, heat pump combination, refrigerant refrigeration and other systems.

[0090] The above method can ensure that the battery temperature is within a safe range, thereby improving the safety of new energy vehicles caused by excessive temperature inside the battery.

[0091] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0092] 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 skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A thermal management method for electric vehicles and mobile vehicles, characterized in that: The following steps are involved: Obtain the vehicle's temperature parameters, ambient temperature, and vehicle management information; the temperature parameters include the vehicle's interior temperature and battery pack temperature; the management information includes the vehicle's seat pressure information, the vehicle's air conditioning status, and the total pre-adjustment time; The vehicle's indoor temperature and battery pack temperature are pre-adjusted according to the vehicle's management information and ambient temperature.

2. A thermal management method for electric vehicles and mobile vehicles according to claim 1, characterized in that: The pre-adjusting the indoor temperature and the battery pack temperature of the vehicle according to the management information of the vehicle and the ambient temperature includes: The total pre-adjustment time is divided and sorted according to the ambient temperature and the temperature parameters of the vehicle to obtain a division result; wherein the division result includes the in-vehicle adjustment time, the out-vehicle adjustment time and the temperature adjustment sequence; The temperature adjustment sequence is modified according to the vehicle interior temperature, the preset temperature and the seat pressure information; the temperature of the battery pack is adjusted according to the battery pack temperature.

3. A thermal management method for electric vehicles and mobile vehicles according to claim 2, characterized in that: The method of dividing and sorting the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle includes: Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range; Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment; The in-vehicle adjustment time is obtained according to the total pre-adjustment time and the air-conditioning status in the vehicle; the difference between the total pre-adjustment time and the in-vehicle adjustment time is calculated to obtain the out-vehicle adjustment time.

4. A thermal management method for electric vehicles and mobile vehicles according to claim 3, characterized in that: The method of obtaining the in-vehicle adjustment time according to the total pre-adjustment time and the air conditioning state in the vehicle includes: Extracting the air conditioning status in the vehicle; wherein the air conditioning status includes an off state and an on state; Determine whether the operating state of the air conditioner is in the off state; If yes, the in-car adjustment time is marked as 0; No, then pass Calculate the in-car adjustment time t1, where △T is the difference between the in-car temperature T1 and the preset temperature T2, α is the temperature adjustment factor, and 5≥α≥0, C cabin is the heat capacity of the air inside the car, W η1 is the effective power of air conditioner, W η2 is the effective power of electric auxiliary heating.

5. A thermal management method for electric vehicles and mobile vehicles according to claim 4, characterized in that: The method for obtaining the temperature adjustment factor α includes: The ambient temperature T3 and the preset temperature T2 are extracted, and the temperature adjustment factor is calculated by the formula α=|T3-T2|×a1×a2; wherein a1 is the sensitivity coefficient; a2 is the age coefficient.

6. A thermal management method for electric vehicles and mobile vehicles according to claim 1, characterized in that: The method of dividing and sorting the total pre-adjustment time according to the ambient temperature and the temperature parameters of the vehicle includes: Matching the ambient temperature with a preset temperature range to obtain a matching range; wherein the temperature range includes a high temperature range, a low temperature range and a normal temperature range; Determine whether the matching interval is a high temperature interval; if yes, mark the temperature adjustment sequence as in-vehicle adjustment-out-vehicle adjustment; if no, mark the temperature adjustment sequence as out-vehicle adjustment-in-vehicle adjustment; The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power are input into the temperature control model to obtain the in-vehicle adjustment time and the out-vehicle adjustment time; wherein, the temperature control model is obtained based on artificial intelligence model training.

7. A thermal management method for electric vehicles and mobile transportation vehicles according to claim 6, characterized in that: The method for obtaining the temperature adjustment model comprises: A training model is constructed based on a recurrent neural network and an attention mechanism is introduced. The in-vehicle temperature, battery pack temperature, total pre-adjustment time, air-conditioning status, air-conditioning effective power and electric auxiliary heating effective power as well as the corresponding in-vehicle adjustment time and outside-vehicle adjustment time are obtained through a database and constructed into several training data sets and test data sets. The training model is trained and tested respectively through the training data sets and the test data sets, and the accuracy is verified according to the model accuracy calculation formula: PR=TP / (TP+FP); the model is fine-tuned according to the accuracy verification result to obtain a time adjustment model; wherein PR represents the accuracy value of the log data anomaly detection model, TP represents the number of sample data detected correctly, and FP represents the number of sample data detected incorrectly.

8. A thermal management method for electric vehicles and mobile transportation vehicles according to claim 2, characterized in that: The step of modifying the temperature adjustment sequence according to the vehicle interior temperature, the preset temperature and the seat pressure information includes: Get the seat pressure information in the car; Determine whether the temperature in the car is adjusted in order based on the seat pressure in the car; When the seat pressure in the car is 0, the current temperature adjustment sequence is maintained; When the seat pressure in the car is not 0, the current temperature adjustment order is obtained. If the current temperature adjustment order is in-car adjustment-outside car adjustment, it jumps to outside car adjustment. If the current temperature adjustment order is outside car adjustment-in-car adjustment, it jumps to inside car adjustment.

9. A thermal management method for electric vehicles and mobile vehicles according to claim 2, characterized in that: The step of adjusting the temperature of the battery pack according to the temperature of the battery pack includes: Compare the current battery pack temperature with the preset temperature range; when the battery pack temperature is within the preset temperature range, no action is taken; when the battery pack temperature is above the preset temperature range, the battery pack temperature is lowered; when the battery pack temperature is below the preset temperature range, the battery pack temperature is increased.

10. A thermal management method for electric vehicles and mobile transportation vehicles according to claim 1, characterized in that: Also includes: Continuous temperature regulation based on preset temperature range and battery pack temperature; The continuous temperature adjustment according to the preset temperature range and the battery pack temperature includes: After a preset time interval, determine whether the current battery pack temperature is within a preset temperature range; if yes, turn off the thermal management control system; if not, start the thermal management control system to adjust the battery pack temperature.

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