Liquid cooling pipeline flow adjusting system and method for power battery of pure electric bus

Abstract

The invention discloses a liquid cooling pipeline flow adjusting system and method for a power battery of a pure electric bus, relates to the technical field of electric automobiles, and solves the problems that in the prior art, when the temperature change rate is large, a branch cannot reach the required flow in time, so that the cooling effect of the battery is poor, and the service life of the battery is prolonged. And the efficiency of the liquid cooling pipeline flow adjusting system is low. The method comprises the steps of calculating instantaneous heat production of a plurality of batteries according to battery data; a main path cold liquid estimated flow is generated according to the instantaneous heat production amount; the main path valve body opening degree is generated according to the main path cold liquid estimated flow; according to the battery temperature, branch cold liquid flow is generated, and the branch valve body opening degree is calculated; the alarm signal is generated according to the instantaneous heat production amount and the battery temperature, the required total cold liquid flow amount is estimated according to the heat production amount of the battery, and the required total amount is introduced into each branch in advance, so that the battery can be cooled by the required flow in time when the branch calculates the flow, and the efficiency of the liquid cooling pipeline flow adjusting system is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of electric vehicles, and specifically relates to a liquid cooling pipeline flow regulation system and method for a pure electric bus power battery. Background Art

[0002] With the continuous improvement of environmental awareness, various new energy vehicles have gradually entered people's lives. Among them, buses used as public transportation stop and go in the city, with low driving speed, but the fuel consumption is particularly amazing. Electric vehicles do not consume electricity when stopped, and their electricity consumption per 100 miles is only about 1 / 3 of the cost of fuel buses. Therefore, electric buses have become the main force of new energy public transportation vehicles in cities. They are mainly provided by power batteries installed in the battery compartment. As the energy density of power batteries continues to increase, power batteries must be used in a suitable temperature range to achieve long life and slow decay performance. At present, in the industry, vehicle manufacturers simply connect the liquid cooling pipelines of power batteries in series and parallel according to the layout of the power batteries, but the flow rate of each liquid cooling branch cannot be adjusted, and the cooling and heat exchange capacity of each branch cannot be balanced.

[0003] The prior art (invention patent with publication number CN111376692B) discloses a vehicle, multi-branch temperature-regulated liquid-cooled power supply system and a control method thereof. The system includes at least two battery branches, each battery branch includes at least one battery pack, each battery branch is correspondingly provided with a liquid cooling branch, all the liquid cooling branches are arranged in parallel to form a liquid cooling pipeline structure, the liquid cooling pipeline structure is arranged in a liquid cooling circuit, and also includes a control module, each liquid cooling branch is provided with a flow regulating module capable of regulating the flow of the corresponding liquid cooling branch, each battery branch is provided with a temperature sensor, the control module samples the temperature sensor connected to each battery branch, and the control module controls the connection of each flow regulating module.

[0004] In the above case, the flow of the liquid cooling branch was adjusted according to the temperature information detected by the temperature sensor. However, it failed to take into account that when the temperature change rate was large, the branch failed to reach the required flow in time, resulting in poor cooling effect of the battery, and further leading to low efficiency of the liquid cooling pipeline flow regulation system; therefore, the battery liquid cooling pipeline flow regulation system still needs further improvement. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes a liquid cooling pipeline flow regulation system and method for a pure electric bus power battery, which is used to solve the technical problem that the prior art lacks consideration of the fact that when the temperature change rate is large, the branch fails to reach the required flow in time, resulting in poor cooling effect of the battery, which in turn leads to low efficiency of the liquid cooling pipeline flow regulation system.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a liquid cooling pipeline flow regulation system for a pure electric bus power battery, comprising: a data acquisition module, a data analysis module, a control module, an early warning module and a database; The data acquisition module acquires battery data, environmental data and parameter data through a data acquisition device; the battery data includes battery status, current, voltage and battery temperature; the parameter data includes cooling liquid flow, cooling liquid temperature and valve body opening; The data analysis module: calculates the instantaneous heat generation of several batteries according to the battery data; generates the estimated flow rate of the main cooling liquid according to the instantaneous heat generation; generates the main valve body opening according to the estimated flow rate of the main cooling liquid; obtains the battery temperature of several batteries, generates the branch cooling liquid flow rate and calculates the branch valve body opening according to the battery temperature; generates an alarm signal according to the instantaneous heat generation and the battery temperature; The control module: transmits the estimated main cold liquid flow rate through the main valve body opening, and transmits the branch cold liquid flow rate through the branch valve body opening; The early warning module: gives a prompt according to the alarm signal and contacts the management personnel; The database is used to store historical data required for training the model.

[0007] Through the above steps, the present application pre-evaluates the heat generation of the battery and accurately calculates the required total cooling liquid flow rate. The preset total amount is then pre-introduced into each branch pipeline to ensure that when the flow distribution calculation is performed, each branch can respond quickly and deliver an appropriate amount of coolant, thereby achieving timely and efficient heat dissipation and cooling, and improving the overall operating efficiency of the liquid cooling pipeline flow regulation system.

[0008] Further, the calculating the instantaneous heat generation of the plurality of batteries according to the battery data includes: Obtaining battery data; the battery data includes real-time current I, open circuit voltage KV, operating voltage V and battery temperature W; By formula Calculate the instantaneous heat generation of several batteries ; Wherein, t represents the time number of the interval T period, and KVX represents the open circuit voltage temperature coefficient.

[0009] Furthermore, generating the estimated flow rate of the main cooling liquid according to the instantaneous heat generation includes: Acquire instantaneous heat generation, cold liquid data and environmental data of each battery; the cold liquid data includes cold liquid temperature, cold liquid density and cold liquid specific heat capacity; the environmental data includes ambient temperature and ambient humidity; Inputting instantaneous heat generation, cold liquid data and environmental data into a cold liquid estimation model to obtain a cold liquid estimation flow rate of each battery; the cold liquid estimation model is constructed by an artificial intelligence model; The estimated flow rate of cooling liquid of all batteries is summed up to obtain the estimated flow rate of cooling liquid of the main circuit.

[0010] Furthermore, the cold liquid estimation model is constructed by an artificial intelligence model, including: Obtaining a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow rates from a database; Divide a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow rates into training data, verification data and test data; perform data preprocessing on the training data, verification data and test data to obtain a training set, a verification set and a test set; Select an AI model as the base model; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, we finally get a cold liquid estimation model that inputs instantaneous heat generation, cold liquid data and environmental data, and outputs the estimated cold liquid flow rate.

[0011] Furthermore, generating the main valve body opening according to the estimated flow rate of the main cooling liquid includes: Obtain the estimated flow rate ZLYL of the main cooling liquid and the effective adjustment range of the main valve body and its corresponding flow value; By formula Calculate the main valve body opening ZLFK; where, and They represent the minimum and maximum values ​​in the effective adjustment range of the main valve body respectively; and They are respectively represented as the flow values ​​corresponding to the minimum value and the maximum value.

[0012] Furthermore, the generating of the branch cooling liquid flow rate and calculating the branch valve body opening according to the battery temperature includes: Obtain battery temperature, target temperature, coolant data and environmental data corresponding to several batteries; Integrate battery temperature, target temperature, coolant data and environmental data into comprehensive data; Inputting the comprehensive data into a branch flow prediction model to obtain several branch cold liquid flows ZLL; the branch flow prediction model is constructed by an artificial intelligence model; Obtain the effective adjustment range of the branch valve body and its corresponding flow value; By formula Calculate the opening of several branch valves ZZLFK; where: and They are respectively expressed as the minimum and maximum values ​​in the effective adjustment range of the branch valve body; and They are respectively represented as the flow values ​​corresponding to the minimum value and the maximum value.

[0013] Furthermore, the branch flow prediction model is constructed by an artificial intelligence model, including: Obtaining some historical comprehensive data and its corresponding branch cold liquid flow; Divide a number of historical comprehensive data and their corresponding branch cooling liquid flows into training data, verification data, and test data; perform data preprocessing on the training data, verification data, and test data to obtain a training set, a verification set, and a test set; Select an AI model as the base model; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, the input comprehensive data is finally obtained, and the output is the branch flow prediction model of the branch cold liquid flow.

[0014] Further, the generating of the alarm signal according to the instantaneous heat generation and the battery temperature includes: Obtain the instantaneous heat generation and battery temperature of several batteries; Determine whether the instantaneous heat generation of the battery is greater than the heat threshold for N consecutive times; if yes, generate an overload operation alarm signal; if no, determine whether the instantaneous heat generation of the battery is greater than the heat threshold, if yes, generate a heat overvalue warning signal; if no, do nothing; wherein N is an integer, N>1; A feedback signal is generated based on the battery temperature.

[0015] Further, generating a feedback signal according to the battery temperature includes: Obtaining a battery temperature and a target temperature; the battery temperature refers to the battery temperature after being cooled by a cooling liquid; By formula Calculate the target temperature range boundary value MWB; where MW refers to the target temperature and WP refers to the temperature deviation; When the battery temperature is between the target temperature range boundary values, no operation is performed; Otherwise, when the battery temperature is less than the minimum value of the target temperature range boundary value, a cooling overlimit feedback signal is generated; Otherwise, a poor cooling effect feedback signal is generated.

[0016] Another aspect of the present invention provides a method for regulating flow of a liquid cooling pipeline for a power battery of a pure electric bus, comprising: S0: Get battery data, environmental data and parameter data; S1: Calculate the instantaneous heat generation of several batteries based on the battery data; generate the estimated flow rate of the main cooling liquid based on the instantaneous heat generation; S2: generating a main valve body opening according to the estimated flow rate of the main cooling liquid; transmitting the estimated main cooling liquid flow rate through the main valve body opening; S3: obtaining battery temperatures of a plurality of batteries, generating a branch cooling liquid flow rate according to the battery temperatures and calculating a branch valve body opening; transmitting the branch cooling liquid flow rate through the branch valve body opening; S4: generating an alarm signal according to the instantaneous heat generation and the battery temperature; S5: Provide prompts based on the alarm signal and contact management.

[0017] Compared with the prior art, the beneficial effects of this application are: 1. The present application calculates the instantaneous heat generation of several batteries according to battery data; generates an estimated flow rate of main cooling liquid according to the instantaneous heat generation; generates a main valve body opening according to the estimated flow rate of main cooling liquid; obtains the battery temperature of several batteries, generates a branch cooling liquid flow rate according to the battery temperature and calculates the branch valve body opening; generates an alarm signal according to the instantaneous heat generation and the battery temperature. Since there is a delay from the heat generation of the battery to the temperature rise, the total amount of cooling liquid flow required is estimated based on the heat generation of the battery, and the required total amount is introduced into each branch in advance, so that the branch can timely cool the battery with the required flow when calculating the flow, thereby improving the efficiency of the liquid cooling pipeline flow regulation system.

[0018] 2. This application uses the percentage method to adjust the opening of the valve body, and calculates the main valve body opening by the estimated flow rate of the main cold liquid, so that the total amount of cold liquid required by each battery can accurately enter the corresponding area through the main valve body, providing strong support for the subsequent cooling of the battery to reach the target temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 This is a schematic diagram of the principle of a liquid cooling pipeline flow regulation system for a pure electric bus power battery of the present application; Figure 2 This is a flow chart of a method for regulating flow in a liquid cooling pipeline for a pure electric bus power battery according to the present application. DETAILED DESCRIPTION

[0021] The technical solution of the present application will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0022] See also Figure 1 , the first embodiment of the present application provides a liquid cooling pipeline flow regulation system for a pure electric bus power battery, including: a data acquisition module, a data analysis module, a control module, an early warning module and a database; Data acquisition module: obtain battery data, environmental data and parameter data through data acquisition equipment; battery data includes battery status, current, voltage and battery temperature; parameter data includes coolant flow, coolant temperature and valve body opening; data acquisition equipment includes various sensors such as temperature sensors; Data analysis module: Calculate the instantaneous heat generation of several batteries based on battery data. Instantaneous heat generation refers to the heat generated by the battery in an instant; generate the estimated flow rate of the main cooling liquid based on the instantaneous heat generation. The estimated flow rate of the main cooling liquid refers to the total flow rate of cooling liquid required by all batteries; generate the main valve body opening based on the estimated flow rate of the main cooling liquid. The main valve body opening refers to the degree of opening and closing of the main valve body; obtain the battery temperature of several batteries, generate the branch cooling liquid flow rate based on the battery temperature and calculate the branch valve body opening; generate an alarm signal based on the instantaneous heat generation and battery temperature; Control module: transmits the estimated main cold liquid flow through the main valve body opening, and transmits the branch cold liquid flow through the branch valve body opening; Early warning module: Prompts are given according to alarm signals and the management personnel are contacted. The alarm signals include overload alarm signals and excessive heat value alarm signals; The database is used to store historical data required for training the model.

[0023] In this embodiment, the instantaneous heat generation of a plurality of batteries is calculated according to the battery data, including: Obtain battery data; battery data includes real-time current I, open circuit voltage KV, operating voltage V and battery temperature W; By formula Calculate the instantaneous heat generation of several batteries ; Wherein, t represents the time number of the interval T period, KVX represents the open circuit voltage temperature coefficient, and the specific value is set according to experience; when the battery of the electric bus is working, as its current and voltage increase, the instantaneous heat generated will also increase accordingly.

[0024] In this embodiment, the estimated flow rate of the main cooling liquid is generated according to the instantaneous heat generation, including: Obtain the instantaneous heat generation, cold liquid data and environmental data of each battery; the cold liquid data includes the cold liquid temperature, cold liquid density and cold liquid specific heat capacity; the environmental data includes the ambient temperature and ambient humidity; different environments and different cold liquid data have different effects on the heat absorption of the battery, so it is necessary to take environmental factors and cold liquid factors into consideration to more accurately obtain the required cold liquid flow rate; The instantaneous heat generation, cooling liquid data and environmental data are input into the cooling liquid estimation model to obtain the cooling liquid estimated flow rate of each battery; the cooling liquid estimation model is constructed by an artificial intelligence model; The estimated flow rate of cooling liquid of all batteries is summed up to obtain the estimated flow rate of cooling liquid of the main circuit.

[0025] The cold liquid estimation model in this embodiment is constructed by an artificial intelligence model, including: Obtaining a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow rates from a database; Divide a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow into training data, verification data and test data; perform data preprocessing on the training data, verification data and test data to obtain a training set, a verification set and a test set; the ratio between the training set, the test set and the verification set is 7:2:1; Select an artificial intelligence model as the basic model; the artificial intelligence model includes the BP model, etc.; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, we finally get a cold liquid estimation model that inputs instantaneous heat generation, cold liquid data and environmental data, and outputs the estimated cold liquid flow rate.

[0026] This embodiment calculates the instantaneous heat generation of each battery, and on this basis takes the cooling liquid data and environmental data into consideration, estimates the cooling liquid flow required for each battery through the model, and obtains the required flow of the main circuit, thereby providing sufficient cooling liquid flow support for branch flow regulation after the battery is heated up, thereby improving the overall efficiency of the system.

[0027] In this embodiment, the main valve body opening is generated according to the estimated flow rate of the main cooling liquid, including: Obtain the estimated flow rate ZLYL of the main cooling liquid and the effective adjustment range of the main valve body and its corresponding flow value; the effective adjustment range of the main valve body and its corresponding flow value are set according to experience, and the effective adjustment range in this embodiment is 10% to 90%; By formula Calculate the main valve body opening ZLFK; where, and They represent the minimum and maximum values ​​in the effective adjustment range of the main valve body respectively; and They are respectively represented as the flow values ​​corresponding to the minimum value and the maximum value; in this embodiment, as the estimated flow rate ZLYL of the main cooling liquid increases, the corresponding main valve body opening ZLFK will also increase accordingly.

[0028] Through the above steps, this embodiment adopts the percentage adjustment method to control the valve opening, estimates the flow rate of the main coolant, and calculates the opening of the main valve accordingly, thereby ensuring that the total amount of coolant required by each battery can be accurately delivered to the corresponding area through the main valve, providing a solid guarantee for the subsequent cooling process of the battery to reach the predetermined temperature.

[0029] In this embodiment, the branch cooling liquid flow is generated according to the battery temperature and the branch valve body opening is calculated, including: Obtain battery temperature, target temperature, coolant data and environmental data corresponding to several batteries; Integrate the battery temperature, target temperature, coolant data and environmental data into comprehensive data; the target temperature refers to the temperature to which the battery needs to be lowered; The comprehensive data is input into the branch flow prediction model to obtain several branch cold liquid flows ZLL; the branch flow prediction model is constructed through an artificial intelligence model; Obtain the effective adjustment range of the branch valve body and its corresponding flow value. The specific value is set based on experience; By formula Calculate the opening of several branch valves ZZLFK; where: and They are respectively expressed as the minimum and maximum values ​​in the effective adjustment range of the branch valve body; and They are respectively represented as the flow values ​​corresponding to the minimum value and the maximum value; in this embodiment, as the branch cold liquid flow ZLL increases, the corresponding branch valve body opening ZZLFK will also increase accordingly.

[0030] The branch flow prediction model in this embodiment is constructed by an artificial intelligence model, including: Obtaining some historical comprehensive data and its corresponding branch cold liquid flow; Divide a number of historical comprehensive data and their corresponding branch cooling liquid flows into training data, verification data and test data; perform data preprocessing on the training data, verification data and test data to obtain a training set, a verification set and a test set; the ratio of the training set, the test set and the verification set is 7:2:1; Select an artificial intelligence model as the basic model; the artificial intelligence model includes a convolutional neural network model, etc.; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, the input comprehensive data is finally obtained, and the output is the branch flow prediction model of the branch cold liquid flow.

[0031] In this embodiment, generating an alarm signal according to instantaneous heat generation and battery temperature includes: Obtain the instantaneous heat generation and battery temperature of several batteries; Determine whether the instantaneous heat generation of the battery is greater than the heat threshold for N consecutive times, and the heat threshold is set according to experience; if yes, generate an overload operation alarm signal; if no, determine whether the instantaneous heat generation of the battery is greater than the heat threshold, if yes, generate a heat overvalue warning signal; if no, do nothing; wherein N is an integer, N>1, the specific value is set according to experience, and in this embodiment, N is set to 5; A feedback signal is generated based on the battery temperature.

[0032] In this embodiment, generating a feedback signal according to the battery temperature includes: Get the battery temperature and target temperature; the battery temperature refers to the battery temperature after being cooled by the coolant; the difference between the battery temperature and the target temperature can effectively determine the cooling effect of the coolant on the battery, which is helpful for system maintenance and user safety considerations; By formula Calculate the target temperature range boundary value MWB; where MW refers to the target temperature and WP refers to the temperature deviation; the specific value is set based on experience, and in this embodiment, WP is set to 1°C; the larger the temperature deviation, the larger the corresponding target temperature range; When the battery temperature is between the target temperature range boundary values, no operation is performed; Otherwise, when the battery temperature is lower than the minimum value in the target temperature range boundary value, a cooling overlimit feedback signal is generated; that is, the battery cooling degree exceeds expectations, causing the battery temperature to be lower than the target temperature, resulting in the battery temperature being too low; Otherwise, a poor cooling effect feedback signal is generated; that is, the cooling degree of the battery is lower than expected, causing the battery temperature to be higher than the target temperature, resulting in an excessively high battery temperature and poor cooling effect.

[0033] This embodiment generates an alarm signal and a feedback signal according to the instantaneous heat generation of the battery and the difference between the battery temperature after cooling by cold liquid and the target temperature, so as to promptly remind the management personnel to make corresponding prompts, avoid potential safety hazards, and improve the safety of the system.

[0034] See also Figure 2Another aspect of the present application provides a method for regulating flow of a liquid cooling pipeline for a power battery of a pure electric bus, comprising: S0: Get battery data, environmental data and parameter data; S1: Calculate the instantaneous heat generation of several batteries based on the battery data; generate the estimated flow rate of the main cooling liquid based on the instantaneous heat generation; S2: generating a main valve body opening according to the estimated flow rate of the main cooling liquid; transmitting the estimated main cooling liquid flow rate through the main valve body opening; S3: obtaining battery temperatures of a plurality of batteries, generating a branch cooling liquid flow rate according to the battery temperatures and calculating a branch valve body opening; transmitting the branch cooling liquid flow rate through the branch valve body opening; S4: generating an alarm signal according to the instantaneous heat generation and the battery temperature; S5: Provide prompts based on the alarm signal and contact management.

[0035] 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.

[0036] The working principle of the present application is as follows: by acquiring battery data, environmental data and parameter data; calculating the instantaneous heat generation of several batteries according to the battery data; generating an estimated main cold liquid flow rate according to the instantaneous heat generation; generating a main valve body opening according to the estimated main cold liquid flow rate; transmitting the estimated main cold liquid flow rate through the main valve body opening; acquiring the battery temperatures of several batteries, generating a branch cold liquid flow rate according to the battery temperature and calculating the branch valve body opening; transmitting the branch cold liquid flow rate through the branch valve body opening; generating an alarm signal according to the instantaneous heat generation and the battery temperature; making a prompt according to the alarm signal and contacting the management personnel, estimating the total amount of cold liquid flow required based on the heat generation of the battery, and introducing the required total amount into each branch in advance, so that the branch can timely cool the battery with the required flow rate when calculating the flow rate, thereby improving the efficiency of the liquid cooling pipeline flow regulation system, and avoiding the problem that the prior art lacks consideration that when the temperature change rate is large, the branch fails to reach the required flow rate in time, resulting in poor cooling effect of the battery, and further leading to the problem of low efficiency of the liquid cooling pipeline flow regulation system.

[0037] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A liquid cooling pipeline flow control system for a pure electric bus power battery, characterized in that: include: Data acquisition module, data analysis module, control module, early warning module and database; The data acquisition module acquires battery data, environmental data and parameter data through a data acquisition device; the battery data includes battery status, current, voltage and battery temperature; the parameter data includes cooling liquid flow, cooling liquid temperature and valve body opening; The data analysis module: calculates the instantaneous heat generation of several batteries according to the battery data; generates the estimated flow rate of the main cooling liquid according to the instantaneous heat generation; generates the main valve body opening according to the estimated flow rate of the main cooling liquid; obtains the battery temperature of several batteries, generates the branch cooling liquid flow rate and calculates the branch valve body opening according to the battery temperature; generates an alarm signal according to the instantaneous heat generation and the battery temperature; The control module: transmits the estimated main cold liquid flow rate through the main valve body opening, and transmits the branch cold liquid flow rate through the branch valve body opening; The early warning module: gives a prompt according to the alarm signal and contacts the management personnel; The database is used to store historical data required for training the model.

2. A liquid cooling pipeline flow control system for a pure electric bus power battery according to claim 1, characterized in that: The calculating the instantaneous heat generation of the plurality of batteries according to the battery data comprises: Obtaining battery data; the battery data includes real-time current I, open circuit voltage KV, operating voltage V and battery temperature W; By formula Calculate the instantaneous heat generation of several batteries ; Wherein, t represents the time number of the interval T period, and KVX represents the open circuit voltage temperature coefficient.

3. The liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 1 is characterized in that: The method of generating an estimated flow rate of the main cooling liquid according to the instantaneous heat generation includes: Acquire instantaneous heat generation, cold liquid data and environmental data of each battery; the cold liquid data includes cold liquid temperature, cold liquid density and cold liquid specific heat capacity; the environmental data includes ambient temperature and ambient humidity; Inputting instantaneous heat generation, cold liquid data and environmental data into a cold liquid estimation model to obtain a cold liquid estimation flow rate of each battery; the cold liquid estimation model is constructed by an artificial intelligence model; The estimated flow rate of cooling liquid of all batteries is summed up to obtain the estimated flow rate of cooling liquid of the main circuit.

4. A liquid cooling pipeline flow control system for a pure electric bus power battery according to claim 3, characterized in that: The cold liquid estimation model is constructed by an artificial intelligence model, including: Obtaining a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow rates from a database; Divide a number of historical instantaneous heat generation, cold liquid data and environmental data and their corresponding historical cold liquid flow rates into training data, verification data and test data; perform data preprocessing on the training data, verification data and test data to obtain a training set, a verification set and a test set; Select an AI model as the base model; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, we finally get a cold liquid estimation model that inputs instantaneous heat generation, cold liquid data and environmental data, and outputs the estimated cold liquid flow rate.

5. The liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 1 is characterized in that: Generating the main valve body opening according to the estimated flow rate of the main cooling liquid includes: Obtain the estimated flow rate ZLYL of the main cooling liquid and the effective adjustment range of the main valve body and its corresponding flow value; By formula Calculate the main valve body opening ZLFK; where, and They respectively represent the minimum and maximum values ​​in the effective adjustment range of the main valve body; and Respectively represent the flow values ​​corresponding to the minimum value and the maximum value.

6. The liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 1 is characterized in that: The generating of the branch cooling liquid flow rate and calculating the branch valve body opening according to the battery temperature includes: Obtain battery temperature, target temperature, coolant data and environmental data corresponding to several batteries; Integrate battery temperature, target temperature, coolant data and environmental data into comprehensive data; Inputting the comprehensive data into a branch flow prediction model to obtain several branch cold liquid flows ZLL; the branch flow prediction model is constructed by an artificial intelligence model; Obtain the effective adjustment range of the branch valve body and its corresponding flow value; By formula Calculate the opening of several branch valves ZZLFK; where: and They are respectively expressed as the minimum and maximum values ​​in the effective adjustment range of the branch valve body; and They are respectively represented as the flow values ​​corresponding to the minimum value and the maximum value.

7. A liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 6, characterized in that: The branch flow prediction model is constructed by an artificial intelligence model, including: Obtaining some historical comprehensive data and its corresponding branch cold liquid flow; Divide a number of historical comprehensive data and their corresponding branch cooling liquid flows into training data, verification data, and test data; perform data preprocessing on the training data, verification data, and test data to obtain a training set, a verification set, and a test set; Select an AI model as the base model; Train the basic model with the training set, and adjust the learning rate and hyperparameters on the validation set to obtain the pre-trained model; By verifying the pre-trained model on the test set, the input comprehensive data is finally obtained, and the output is the branch flow prediction model of the branch cold liquid flow.

8. The liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 1 is characterized in that: The generating of an alarm signal according to the instantaneous heat generation and the battery temperature comprises: Obtain the instantaneous heat generation and battery temperature of several batteries; Determine whether the instantaneous heat generation of the battery is greater than the heat threshold for N consecutive times; if yes, generate an overload operation alarm signal; if no, determine whether the instantaneous heat generation of the battery is greater than the heat threshold, if yes, generate a heat overvalue warning signal; if no, do nothing; wherein N is an integer, N>1; A feedback signal is generated based on the battery temperature.

9. A liquid cooling pipeline flow regulating system for a pure electric bus power battery according to claim 8, characterized in that: The generating of the feedback signal according to the battery temperature comprises: Obtaining a battery temperature and a target temperature; the battery temperature refers to the battery temperature after being cooled by a cooling liquid; By formula Calculate the target temperature range boundary value MWB; where MW refers to the target temperature and WP refers to the temperature deviation; When the battery temperature is between the target temperature range boundary values, no operation is performed; Otherwise, when the battery temperature is less than the minimum value of the target temperature range boundary value, a cooling overlimit feedback signal is generated; Otherwise, a poor cooling effect feedback signal is generated.

10. A method for regulating flow rate of a liquid cooling pipeline for a power battery of a pure electric bus, applied to a liquid cooling pipeline flow rate regulating system for a power battery of a pure electric bus as claimed in any one of claims 1 to 9, characterized in that: include: S0: Get battery data, environmental data and parameter data; S1: Calculate the instantaneous heat generation of several batteries based on the battery data; generate the estimated flow rate of the main cooling liquid based on the instantaneous heat generation; S2: generating a main valve body opening according to the estimated flow rate of the main cooling liquid; transmitting the estimated main cooling liquid flow rate through the main valve body opening; S3: obtaining battery temperatures of a plurality of batteries, generating branch cooling liquid flow rates according to the battery temperatures, and calculating branch valve body openings; The branch cold liquid flow is transmitted through the branch valve body opening; S4: generating an alarm signal according to the instantaneous heat generation and the battery temperature; S5: Provide prompts based on the alarm signal and contact management.

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