A battery temperature regulation system for new energy vehicles based on lithium-ion power batteries

Abstract

The present invention relates to the technical field of new energy vehicles, and specifically discloses a new energy vehicle battery temperature regulation system based on a lithium-ion power battery, comprising a battery temperature data acquisition module, a battery temperature data preprocessing module, a battery temperature data analysis module, an intelligent control and regulation module, a battery temperature data comprehensive analysis module, a battery temperature comprehensive evaluation module and a user interface module; the present invention acquires and preprocesses the battery temperature data of the new energy vehicle, analyzes and obtains a battery temperature change abnormality index, a battery heat generation rate deviation index, a battery working state performance index and a new energy vehicle battery temperature comprehensive evaluation index, and maintains the battery within an optimal working temperature range through the intelligent control and regulation module, thereby improving the working efficiency and performance of the battery, and extending the battery life, thereby improving the energy utilization efficiency of the power battery of the new energy vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to a battery temperature regulation system for new energy vehicles based on lithium-ion power batteries. Background Art

[0002] With growing global awareness of environmental protection and the depletion of fossil fuel resources, new energy vehicles (NEVs), particularly electric vehicles (EVs), with their significant advantages of zero emissions and low noise, have seen rapid growth in recent years as a key alternative to traditional fuel vehicles. Lithium-ion batteries, the core power source of EVs, not only directly impact the vehicle's overall performance and range, but also profoundly influence its endurance, safety, and economy. However, with the booming new energy vehicle industry, the significant heat generated by NEVs during charging and discharging has become a pressing issue. Lithium-ion battery performance is significantly affected by temperature. Excessively high temperatures accelerate chemical reactions within the battery, leading to accelerated aging; while excessively low temperatures affect the battery's discharge capacity and reduce its capacity. Failure to effectively control battery temperature can not only significantly degrade battery performance and shorten its lifespan, but can also pose serious safety risks.

[0003] Traditional battery temperature control systems for new energy vehicles can often only roughly adjust the battery temperature. They do not fully analyze other factors that affect the battery temperature, such as battery temperature changes, battery heat generation rate, and battery operating status, making it difficult to accurately control the ideal temperature range. In order to achieve the desired temperature regulation effect, traditional systems often require a lot of energy consumption, which not only increases energy consumption but also affects the vehicle's endurance.

[0004] Therefore, how to effectively control the operating temperature of lithium-ion batteries and keep it within an appropriate range is crucial to improving the battery life and the overall performance of the vehicle. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a battery temperature regulation system for new energy vehicles based on a lithium-ion power battery to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a battery temperature regulation system for new energy vehicles based on lithium-ion power batteries, comprising a battery temperature data acquisition module, a battery temperature data preprocessing module, a battery temperature data analysis module, an intelligent control and regulation module, a battery temperature data comprehensive analysis module, a battery temperature comprehensive evaluation module and a user interface module.

[0007] Battery temperature data acquisition module: includes a battery temperature information acquisition unit, a battery heat generation rate information acquisition unit, and a battery operating status information acquisition unit. Each acquisition unit is used to collect comprehensive battery temperature parameters and transmit the collected comprehensive parameters to the battery temperature data preprocessing module;

[0008] Battery temperature data preprocessing module: used to preprocess the comprehensive parameters collected by the battery temperature data acquisition module and transmit the preprocessed data to the battery temperature data analysis module;

[0009] Battery temperature data analysis module: This module includes a battery temperature change analysis unit, a battery heat generation rate analysis unit, and a battery operating status performance analysis unit. It imports the data transmitted by the battery temperature data preprocessing module into the corresponding analysis unit mathematical model, calculates the battery temperature change anomaly index, the battery heat generation rate deviation index, and the battery operating status performance index, and transmits the calculation results to the intelligent control and regulation module;

[0010] Intelligent control and adjustment module: used to compare the data transmitted by the battery temperature data analysis module with the preset value to determine whether there is any abnormality, and to initiate intelligent control and adjustment links for abnormal data;

[0011] Battery temperature data comprehensive analysis module: Based on the data obtained after control and adjustment by the intelligent control and adjustment module, a mathematical model is established to calculate the comprehensive evaluation index of the new energy vehicle battery temperature and transmit it to the battery temperature comprehensive evaluation module;

[0012] Battery temperature comprehensive evaluation module: used to compare and analyze the new energy vehicle battery temperature comprehensive evaluation index calculated by the battery temperature data comprehensive analysis module with the battery temperature comprehensive evaluation preset value, obtain a judgment result, and transmit the judgment result to the user interface module;

[0013] User interface module: used to receive battery temperature abnormality data and warning information, display them intuitively through the user interface, and provide diagnostic analysis reports and management suggestions to managers and users.

[0014] Preferably, the battery temperature information acquisition unit is used to collect battery temperature parameters including the number of single cells in the battery pack, the battery electrode mass, the battery charge and discharge current, the battery ohmic internal resistance, the battery polarization internal resistance, the initial temperature of the battery before charging, the battery temperature after the charging interval t, the battery module temperature, the battery cell temperature, the preset standard battery module and battery cell temperature difference, the ambient temperature, the ambient temperature and the minimum ambient temperature of the battery; the battery heat generation rate information acquisition unit is used to collect battery heat generation rate parameters including the battery heat generation body volume, the battery charge and discharge current, the open circuit voltage, the battery operating voltage, the battery ohmic internal resistance, the battery polarization internal resistance, the battery temperature and the preset standard battery heat generation rate; the battery working status information acquisition unit is used to collect battery working status parameters including the battery charge and discharge current, the battery nominal capacity, the battery charging time, the battery internal resistance, the heat exchange coefficient, the battery heat dissipation area and the battery heat capacity.

[0015] Preferably, the steps for calculating the battery temperature abnormality indicator are as follows:

[0016] Step S01: Calculate the total heat generated by the battery during the charging and discharging process. The calculation model is as follows:

[0017]

[0018] Among them, Q represents the total heat generated by the battery during the charging and discharging process, Q r Expressed as electrochemical reaction heat, Q j Expressed as ohmic internal thermal resistance, Q p Expressed as polarization heat, Q e It is represented by the decomposition heat of the electrolyte, n is represented by the number of single cells in the battery pack; m is represented by the electrode mass of the battery, I is represented by the battery charge and discharge current, M is represented by the total molar mass, F is represented by the Faraday constant, R e and R p They are expressed as the battery ohmic internal resistance and polarization internal resistance respectively;

[0019] Step S02: Calculate the battery charging temperature change rate. The calculation model is as follows:

[0020]

[0021] Among them, Tcr represents the battery charging temperature change rate, T1 represents the initial temperature of the battery before charging, T0 represents the battery temperature after the charging interval t, and △t represents the charging time interval, which is half an hour.

[0022] Step S03: Calculate the battery temperature abnormality index. The calculation model is as follows:

[0023]

[0024] Among them, TCAI is the battery temperature change abnormality index, Q is the total heat generated by the battery during the charge and discharge process, Tcr is the battery charging temperature change rate, Tm is the battery module temperature, Tc is the battery cell temperature, TD 预 It represents the preset standard temperature difference between the battery module and the battery cell, Te represents the ambient temperature, max(Te) represents the maximum ambient temperature of the battery, min(Te) represents the minimum ambient temperature of the battery, and α represents other influencing factors of battery temperature change.

[0025] Preferably, the calculation steps of the battery heat generation rate deviation index are as follows:

[0026] Step S01: Calculate the battery heat generation rate. The calculation model is as follows:

[0027]

[0028] Simplify the above formula and replace U with the product of the charging and discharging current and its internal resistance. oc -U, the specific formula is as follows:

[0029]

[0030] Among them, Hgr represents the battery heat generation rate, V represents the battery heat generation volume, I represents the battery charge and discharge current, U oc represents the open circuit voltage, U represents the battery operating voltage, and R represents the sum of the polarization internal resistance and the ohmic internal resistance of the lithium-ion battery. R = R e +R p , T represents the battery temperature, The coefficient that indicates the voltage is affected by temperature;

[0031] Step S02: Calculate the battery heat generation rate deviation index. The calculation model is as follows:

[0032]

[0033] Among them, TRDI represents the battery heat generation rate deviation index, Hgr represents the battery heat generation rate, and Hgr0 represents the preset standard battery heat generation rate.

[0034] Preferably, the steps for calculating the battery operating status performance index are as follows:

[0035] Step S01: Calculate the charging rate. The calculation model is as follows:

[0036]

[0037] Where Rc represents the charging rate, I represents the battery charge and discharge current, and Bc represents the battery nominal capacity;

[0038] Step S02: Calculate the battery operating status performance index, the calculation model is as follows:

[0039]

[0040] Among them, WCPI represents the battery working status performance index, Rc represents the charging rate, Ct represents the battery charging time, I represents the battery charging and discharging current, R0 represents the battery internal resistance, h represents the heat exchange coefficient, A represents the battery heat dissipation area, and Cp represents the battery heat capacity.

[0041] Preferably, the specific manner in which the intelligent control and regulation module compares the data transmitted by the battery temperature data analysis module with the preset value is:

[0042] Extract the abnormal battery temperature change index and obtain the battery temperature change fluctuation coefficient formula: If the battery temperature abnormality index is greater than the battery temperature preset value TCAI 预 , it is judged that the battery temperature change is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery temperature change is normal;

[0043] Extract the battery heat generation rate deviation index and obtain the battery heat generation rate fluctuation coefficient formula: If the battery heat generation rate deviation index is greater than the battery heat generation rate preset value TRDI 预 , it is judged that the battery heat generation rate is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery heat generation rate is normal;

[0044] Extract the battery working state performance index and obtain the battery working state change fluctuation coefficient formula: If the battery working status performance index is less than the battery working status preset value WCPI 预 If the battery is abnormal, it is judged that there is an abnormality in the battery working status performance, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that there is no abnormality in the battery working status performance.

[0045] Preferably, the calculation model of the new energy vehicle battery temperature comprehensive evaluation index is as follows:

[0046]

[0047] Among them, TCEI represents the comprehensive evaluation index of new energy vehicle battery temperature, TCAI represents the battery temperature change abnormality index, TRDI represents the battery heat generation rate deviation index, WCPI represents the battery working status performance index, and μ represents other influencing factors of the comprehensive evaluation index.

[0048] Preferably, the specific method of comparative analysis of the battery temperature comprehensive evaluation module is: obtaining the new energy vehicle battery temperature comprehensive evaluation index and comparing it with the battery temperature comprehensive evaluation preset value, wherein the battery temperature comprehensive evaluation preset value refers to the battery's suitable operating temperature range. If the new energy vehicle battery temperature comprehensive evaluation index is greater than or less than the battery temperature comprehensive evaluation preset value, it indicates that the battery temperature is abnormal, and an analysis report needs to be generated for the abnormal data and sent to the corresponding management personnel and users for review and to issue an early warning signal. If the new energy vehicle battery temperature comprehensive evaluation index is within the battery temperature comprehensive evaluation preset value range, it indicates that the battery is in a suitable operating temperature range, that is, the battery temperature is normal.

[0049] The technical effects and advantages of the present invention are as follows:

[0050] 1. The present invention maintains the battery pack operating temperature within the optimal range through precise temperature control strategies; this can reduce the battery's energy loss in high or low temperature environments and improve the battery's operating efficiency and cycle life;

[0051] 2. The present invention collects and preprocesses the temperature data of new energy vehicle batteries, analyzes and obtains the battery temperature change abnormality index, battery heat generation rate deviation index, battery working status performance index and new energy vehicle battery temperature comprehensive evaluation index, and adjusts the flow rate and temperature of the cooling medium through intelligent control to keep the battery pack within the optimal operating temperature range, thereby improving the battery's working efficiency and performance, extending the battery's service life, and thus improving the energy utilization efficiency of the power battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0053] Figure 1 Schematic diagram of the overall structure of the system of the present invention.

[0054] Figure 2 This is a structural diagram of the acquisition unit of the battery temperature data acquisition module of the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] See also Figure 1-2 As shown, the present invention provides a battery temperature regulation system for new energy vehicles based on lithium-ion power batteries, including a battery temperature data acquisition module, a battery temperature data preprocessing module, a battery temperature data analysis module, an intelligent control and regulation module, a battery temperature data comprehensive analysis module, a battery temperature comprehensive evaluation module and a user interface module.

[0057] The output end of the battery temperature data acquisition module is telegraphed connected to the input end of the battery temperature data preprocessing module, the output end of the battery temperature data preprocessing module is telegraphed connected to the input end of the battery temperature data analysis module, the output end of the battery temperature data analysis module is telegraphed connected to the input end of the intelligent control and regulation module, the output end of the intelligent control and regulation module is telegraphed connected to the input end of the battery temperature data comprehensive analysis module and the input end of the user interface module respectively, the output end of the battery temperature data comprehensive analysis module is telegraphed connected to the input end of the battery temperature comprehensive evaluation module and the input end of the user interface module respectively, and the output end of the battery temperature comprehensive evaluation module is telegraphed connected to the input end of the user interface module.

[0058] The battery temperature data acquisition module includes a battery temperature information acquisition unit, a battery heat generation rate information acquisition unit, and a battery working status information acquisition unit. Each acquisition unit is used to collect comprehensive battery temperature parameters and transmit the collected comprehensive parameters to the battery temperature data preprocessing module;

[0059] In this embodiment, it should be specifically explained that the battery temperature information acquisition unit is used to collect battery temperature parameters including the number of single cells in the battery pack, the battery electrode mass, the battery charge and discharge current, the battery ohmic internal resistance, the battery polarization internal resistance, the initial temperature of the battery before charging, the battery temperature after the charging interval t, the battery module temperature, the battery cell temperature, the preset standard battery module and battery cell temperature difference, the ambient temperature, the ambient temperature and the minimum ambient temperature of the battery; the battery heat generation rate information acquisition unit is used to collect battery heat generation rate parameters including the battery heat generation body volume, the battery charge and discharge current, the open circuit voltage, the battery operating voltage, the battery ohmic internal resistance, the battery polarization internal resistance, the battery temperature and the preset standard battery heat generation rate; the battery working status information acquisition unit is used to collect battery working status parameters including the battery charge and discharge current, the battery nominal capacity, the battery charging time, the battery internal resistance, the heat exchange coefficient, the battery heat dissipation area and the battery heat capacity.

[0060] The battery temperature data preprocessing module is used to preprocess the comprehensive parameters collected by the battery temperature data collection module and transmit the preprocessed data to the battery temperature data analysis module;

[0061] In this embodiment, it should be specifically explained that the battery temperature data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection, and outlier processing on the data through existing filtering technology.

[0062] The battery temperature data analysis module includes a battery temperature change analysis unit, a battery heat generation rate analysis unit, and a battery operating state performance analysis unit. It imports the data transmitted by the battery temperature data preprocessing module into the corresponding analysis unit mathematical model, calculates the battery temperature change abnormality index, the battery heat generation rate deviation index, and the battery operating state performance index, and transmits the calculation results to the intelligent control and regulation module;

[0063] In this embodiment, it should be specifically explained that the calculation steps of the battery temperature change abnormality indicator are as follows:

[0064] Step S01: Calculate the total heat generated by the battery during the charging and discharging process. The calculation model is as follows:

[0065]

[0066] Among them, Q represents the total heat generated by the battery during the charging and discharging process, Q r Expressed as electrochemical reaction heat, Q j Expressed as ohmic internal thermal resistance, Q p Expressed as polarization heat, Q eIt is represented by the decomposition heat of the electrolyte, n is represented by the number of single cells in the battery pack; m is represented by the electrode mass of the battery, I is represented by the battery charge and discharge current, M is represented by the total molar mass, F is represented by the Faraday constant, R e and R p They are expressed as the battery ohmic internal resistance and polarization internal resistance respectively;

[0067] In this embodiment, it should be specifically explained that the heat generated by lithium-ion batteries during the charging and discharging process mainly includes: electrochemical reaction heat, polarization heat, ohmic internal resistance heat, electrolyte decomposition heat and SEI (Solid Electrolyte Interface) film decomposition heat; in actual engineering applications, considering that the decomposition heat of the electrolyte and the SEI film is relatively small, this part of the heat is ignored, and only the other three heating mechanisms are studied.

[0068] Step S02: Calculate the battery charging temperature change rate. The calculation model is as follows:

[0069]

[0070] Among them, Tcr represents the battery charging temperature change rate, T1 represents the initial temperature of the battery before charging, T0 represents the battery temperature after the charging interval t, and △t represents the charging time interval, which is half an hour.

[0071] Step S03: Calculate the battery temperature abnormality index. The calculation model is as follows:

[0072]

[0073] Among them, TCAI is the battery temperature change abnormality index, Q is the total heat generated by the battery during the charge and discharge process, Tcr is the battery charging temperature change rate, Tm is the battery module temperature, Tc is the battery cell temperature, TD 预 It represents the preset standard temperature difference between the battery module and the battery cell, Te represents the ambient temperature, max(Te) represents the maximum ambient temperature of the battery, min(Te) represents the minimum ambient temperature of the battery, and α represents other influencing factors of battery temperature change.

[0074] In this embodiment, it should be specifically explained that the calculation steps of the battery heat generation rate deviation index are as follows:

[0075] Step S01: Calculate the battery heat generation rate. The calculation model is as follows:

[0076]

[0077] Simplify the above formula and replace U with the product of the charging and discharging current and its internal resistance. oc-U, the specific formula is as follows:

[0078]

[0079] Among them, Hgr represents the battery heat generation rate, V represents the battery heat generation volume, I represents the battery charge and discharge current, U oc represents the open circuit voltage, U represents the battery operating voltage, and R represents the sum of the polarization internal resistance and the ohmic internal resistance of the lithium-ion battery. R = R e +R p , T represents the battery temperature, The coefficient that indicates the voltage is affected by temperature; In engineering applications, it is generally an empirical constant;

[0080] Step S02: Calculate the battery heat generation rate deviation index. The calculation model is as follows:

[0081]

[0082] Among them, TRDI represents the battery heat generation rate deviation index, Hgr represents the battery heat generation rate, and Hgr0 represents the preset standard battery heat generation rate.

[0083] In this embodiment, it should be specifically explained that the steps for calculating the battery operating status performance index are as follows:

[0084] Step S01: Calculate the charging rate. The calculation model is as follows:

[0085]

[0086] Where Rc represents the charging rate, I represents the battery charge and discharge current, and Bc represents the battery nominal capacity;

[0087] Step S02: Calculate the battery operating status performance index, the calculation model is as follows:

[0088]

[0089] Among them, WCPI represents the battery working status performance index, Rc represents the charging rate, Ct represents the battery charging time, I represents the battery charging and discharging current, R0 represents the battery internal resistance, h represents the heat exchange coefficient, A represents the battery heat dissipation area, and Cp represents the battery heat capacity.

[0090] The intelligent control and adjustment module is used to compare the data transmitted by the battery temperature data analysis module with the preset value to determine whether there is any abnormality, and to initiate intelligent control and adjustment links for abnormal data;

[0091] In this embodiment, it should be specifically explained that the specific manner in which the intelligent control and regulation module compares the data transmitted by the battery temperature data analysis module with the preset value is:

[0092] Extract the abnormal battery temperature change index and obtain the battery temperature change fluctuation coefficient formula: If the battery temperature abnormality index is greater than the battery temperature preset value TCAI 预 , it is judged that the battery temperature change is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery temperature change is normal;

[0093] Extract the battery heat generation rate deviation index and obtain the battery heat generation rate fluctuation coefficient formula: If the battery heat generation rate deviation index is greater than the battery heat generation rate preset value TRDI 预 , it is judged that the battery heat generation rate is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery heat generation rate is normal;

[0094] Extract the battery working state performance index and obtain the battery working state change fluctuation coefficient formula: If the battery working status performance index is less than the battery working status preset value WCPI 预 If the battery is abnormal, it is judged that there is an abnormality in the battery working status performance, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that there is no abnormality in the battery working status performance.

[0095] In this embodiment, it should be specifically explained that the intelligent control and regulation link refers to ensuring that the battery operates within the optimal temperature range by real-time monitoring of the battery temperature, battery heat generation rate, and battery operating status, and by adjusting the cooling capacity, controlling the battery heat generation rate, and adjusting the battery operating status. The flow rate and temperature of the cooling medium are adjusted in real time according to the temperature changes inside the battery pack to keep the battery operating stably in the optimal working state. The intelligent regulation link is adaptive and real-time, and can achieve dynamic regulation and balanced control of heat distribution. By adjusting the flow rate and temperature of the cooling medium through the intelligent control system to keep the battery pack within the optimal operating temperature range, energy consumption can be effectively reduced and energy utilization can be improved. For example, in a high temperature environment, the flow rate of the cooling medium is increased and the temperature is lowered to keep the system running stably.

[0096] The battery temperature data comprehensive analysis module establishes a mathematical model to calculate the new energy vehicle battery temperature comprehensive evaluation index based on the data obtained after control and regulation by the intelligent control and regulation module, and transmits the result to the battery temperature comprehensive evaluation module;

[0097] In this embodiment, it should be specifically explained that the calculation model of the new energy vehicle battery temperature comprehensive evaluation index is as follows:

[0098]

[0099] Among them, TCEI represents the comprehensive evaluation index of new energy vehicle battery temperature, TCAI represents the battery temperature change abnormality index, TRDI represents the battery heat generation rate deviation index, WCPI represents the battery working status performance index, and μ represents other influencing factors of the comprehensive evaluation index.

[0100] The battery temperature comprehensive evaluation module is used to compare and analyze the new energy vehicle battery temperature comprehensive evaluation index calculated by the battery temperature data comprehensive analysis module with the battery temperature comprehensive evaluation preset value, obtain a judgment result, and transmit the judgment result to the user interface module;

[0101] In this embodiment, it should be specifically explained that the specific method of comparison and analysis of the battery temperature comprehensive evaluation module is:

[0102] Obtain the new energy vehicle battery temperature comprehensive evaluation index and compare it with the battery temperature comprehensive evaluation preset value, where the battery temperature comprehensive evaluation preset value refers to the battery's suitable operating temperature range. If the new energy vehicle battery temperature comprehensive evaluation index is greater than or less than the battery temperature comprehensive evaluation preset value, it indicates that the battery temperature is abnormal. An analysis report needs to be generated for the abnormal data and sent to the corresponding management personnel and users for review and to issue an early warning signal. If the new energy vehicle battery temperature comprehensive evaluation index is within the battery temperature comprehensive evaluation preset value range, it indicates that the battery is in a suitable operating temperature range, that is, the battery temperature is normal.

[0103] The user interface module is used to receive battery temperature abnormality data and warning information, display them intuitively through the user interface, and provide diagnostic analysis reports and management suggestions to managers and users.

[0104] In this embodiment, it is important to note that this application achieves efficient heat dissipation from the battery pack and cabin cooling by coupling the power battery refrigerant direct cooling system with the vehicle's air conditioning system. The system utilizes R134a, a commonly used refrigerant in automobiles, and simplifies the structure by sharing the compressor, condenser, and expansion valve, improving system integration and control flexibility.

[0105] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0106] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A battery temperature regulation system for new energy vehicles based on lithium-ion power batteries, characterized in that: include: Battery temperature data acquisition module: including a battery temperature information acquisition unit, a battery heat generation rate information acquisition unit and a battery working status information acquisition unit. Each acquisition unit is used to collect comprehensive battery temperature parameters and transmit the collected comprehensive parameters to the battery temperature data preprocessing module; Battery temperature data preprocessing module: used to preprocess the comprehensive parameters collected by the battery temperature data collection module, and transmit the preprocessed data to the battery temperature data analysis module; Battery temperature data analysis module: including a battery temperature change analysis unit, a battery heat generation rate analysis unit and a battery working state performance analysis unit, importing the data transmitted by the battery temperature data preprocessing module into the corresponding analysis unit mathematical model, calculating the battery temperature change abnormality index, the battery heat generation rate deviation index and the battery working state performance index, and transmitting the calculation results to the intelligent control and regulation module; The calculation steps of the battery temperature change abnormality index are as follows: Step S01: Calculate the total heat generated by the battery during the charging and discharging process. The calculation model is as follows: Among them, Q represents the total heat generated by the battery during the charging and discharging process, Q r Expressed as the electrochemical reaction heat, Q j Expressed as ohmic internal thermal resistance, Q p Expressed as polarization heat, Q e It is the total heat generated by the positive and negative electrodes when the electrochemical reaction occurs inside the battery, n is the number of single cells in the battery pack; m is the mass of the battery electrode, I is the battery charge and discharge current, M is the total molar mass, F is the Faraday constant, R e and R p They are respectively expressed as the battery ohmic internal resistance and polarization internal resistance; Step S02: Calculate the battery charging temperature change rate, and the calculation model is as follows: Among them, Tcr represents the battery charging temperature change rate, T1 represents the initial temperature of the battery before charging, T0 represents the battery temperature after the charging interval t, △t represents the charging time interval, which is half an hour. Step S03: Calculate the battery temperature change abnormality index, and the calculation model is as follows: Among them, TCAI is the abnormal battery temperature change index, Q is the total heat generated by the battery during the charging and discharging process, Tcr is the battery charging temperature change rate, Tm is the battery module temperature, Tc is the battery cell temperature, TD 预 It is represented by the preset standard battery module and battery cell temperature difference, Te is represented by the ambient temperature, max(Te) is represented by the maximum ambient temperature of the battery, min(Te) is represented by the minimum ambient temperature of the battery, and α is represented by other influencing factors of battery temperature change; The calculation steps of the battery heat generation rate deviation index are as follows: Step S01: Calculate the heat generation rate of the battery. The calculation model is as follows: The above formula is simplified and transformed, and U is replaced by the product of the charging and discharging current and its internal resistance. oc -U, the specific formula is as follows: Among them, Hgr represents the heat generation rate of the battery, V represents the volume of the battery heat generating body, I represents the battery charge and discharge current, and U oc represents the open circuit voltage, U represents the battery operating voltage, and R represents the sum of the polarization internal resistance and the ohmic internal resistance of the lithium-ion battery. R = R e +R p , T represents the battery temperature, The coefficient that indicates the voltage is affected by temperature; Step S02: Calculate the battery heat generation rate deviation index, and the calculation model is as follows: Among them, TRDI represents the battery heat generation rate deviation index, Hgr represents the battery heat generation rate, and Hgr0 represents the preset standard battery heat generation rate; The calculation steps of the battery working status performance index are as follows: Step S01: Calculate the charging rate, the calculation model is as follows: Among them, Rc represents the charging rate, I represents the battery charging and discharging current, and Bc represents the battery nominal capacity; Step S02: Calculate the battery working status performance index, the calculation model is as follows: Among them, WCPI represents the battery working status performance index, Rc represents the charging rate, Ct represents the battery charging time, I represents the battery charging and discharging current, R0 represents the battery internal resistance, h represents the heat exchange coefficient, A represents the battery heat dissipation area, and Cp represents the battery heat capacity; Intelligent control and regulation module: used to compare the data transmitted by the battery temperature data analysis module with the preset value to determine whether there is an abnormality, and to start intelligent control and regulation links for abnormal data; Battery temperature data comprehensive analysis module: Based on the data obtained after control and adjustment by the intelligent control and adjustment module, a mathematical model is established to calculate the comprehensive evaluation index of the battery temperature of the new energy vehicle, and the index is transmitted to the battery temperature comprehensive evaluation module; The calculation model of the comprehensive evaluation index of battery temperature of new energy vehicles is as follows: Among them, TCEI represents the comprehensive evaluation index of battery temperature for new energy vehicles, TCAI represents the abnormal battery temperature change index, TRDI represents the battery heat generation rate deviation index, WCPI represents the battery working status performance index, and μ represents other influencing factors of the comprehensive evaluation index; Battery temperature comprehensive evaluation module: used to compare and analyze the new energy vehicle battery temperature comprehensive evaluation index calculated by the battery temperature data comprehensive analysis module with the battery temperature comprehensive evaluation preset value, obtain a judgment result, and transmit the judgment result to the user interface module; User interface module: used to receive battery temperature abnormality data and warning information, display them intuitively through the user interface, and provide diagnostic analysis reports and management suggestions for managers and users.

2. A battery temperature regulation system for new energy vehicles based on lithium-ion power batteries according to claim 1, characterized in that: The battery temperature information acquisition unit is used to acquire battery temperature parameters including the number of single cells in the battery pack, the electrode mass of the battery, the battery charge and discharge current, the battery ohmic internal resistance, the battery polarization internal resistance, the initial temperature of the battery before charging, the battery temperature after the charging interval t, the battery module temperature, the battery cell temperature, the preset standard battery module and battery cell temperature difference, the ambient temperature, the ambient temperature and the minimum ambient temperature of the battery; the battery heat generation rate information acquisition unit is used to acquire battery heat generation rate parameters including the battery heat generation body volume, the battery charge and discharge current, the open circuit voltage, the battery operating voltage, the battery ohmic internal resistance, the battery polarization internal resistance, the battery temperature and the preset standard battery heat generation rate; the battery working state information acquisition unit is used to acquire battery working state parameters including the battery charge and discharge current, the battery nominal capacity, the battery charging time, the battery internal resistance, the heat exchange coefficient, the battery heat dissipation area and the battery thermal capacity.

3. A battery temperature regulation system for new energy vehicles based on lithium-ion power batteries according to claim 1, characterized in that: The specific method in which the intelligent control and regulation module compares the data transmitted by the battery temperature data analysis module with the preset value is: Extract the abnormal battery temperature change index and obtain the battery temperature change fluctuation coefficient formula: If the battery temperature abnormality index is greater than the battery temperature preset value TCAI 预 , it is judged that the battery temperature change is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery temperature change is normal; Extract the battery heat generation rate deviation index and obtain the battery heat generation rate fluctuation coefficient formula: If the battery heat generation rate deviation index is greater than the battery heat generation rate preset value TRDI 预 , it is judged that the battery heat generation rate is abnormal, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that the battery heat generation rate is normal; Extract the battery working status performance index and obtain the battery working status change fluctuation coefficient formula: If the battery working status performance index is less than the battery working status preset value WCPI 预 , it is judged that there is an abnormality in the working status and performance of the battery, the abnormal result is sent to the management personnel and users, and the intelligent control and adjustment link is started. Otherwise, it indicates that there is no abnormality in the working status and performance of the battery.

4. A battery temperature regulation system for new energy vehicles based on lithium-ion power batteries according to claim 1, characterized in that: The specific method of the comparative analysis of the battery temperature comprehensive evaluation module is: obtaining the new energy vehicle battery temperature comprehensive evaluation index and comparing it with the battery temperature comprehensive evaluation preset value, wherein the battery temperature comprehensive evaluation preset value refers to the battery's suitable operating temperature range. If the new energy vehicle battery temperature comprehensive evaluation index is greater than or less than the battery temperature comprehensive evaluation preset value, it indicates that the battery temperature is abnormal, and an analysis report needs to be generated for the abnormal data and sent to the corresponding management personnel and users for review and to issue a warning signal. If the new energy vehicle battery temperature comprehensive evaluation index is within the battery temperature comprehensive evaluation preset value range, it indicates that the battery is in a suitable operating temperature range, that is, the battery temperature is normal.

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