A thermal management strategy optimization method and terminal

Abstract

The present invention discloses a method for optimizing a thermal management strategy, comprising the steps of: S1, obtaining an optimal battery life SOH function and / or an optimal power consumption P function for an air conditioner or chiller; S2, executing the thermal management strategy for the air conditioner and adjusting the thermal management strategy for the air conditioner based on the optimal battery life SOH function and / or the optimal power consumption P function for the air conditioner or chiller. It can be seen that the method combines the operating life of the container with the low energy consumption of the air conditioner or chiller, and adjusts the thermal management strategy based on the obtained optimal battery life SOH function and / or the optimal power consumption P function for the air conditioner or chiller, thereby obtaining a thermal management strategy that satisfies the container's operating life while also ensuring low energy consumption for the air conditioner or chiller.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration systems, and in particular to a thermal management strategy optimization method and a terminal. Background Art

[0002] With the promotion and application of new energy sources such as solar energy and wind energy, energy storage technology has also developed accordingly. Lithium batteries have gradually become the mainstream product for energy storage due to their relatively high energy, long service life, high rated voltage, high power tolerance, very low self-discharge rate, light weight, environmental protection, and almost no water consumption in production. For lithium battery energy storage systems, air cooling and liquid cooling are currently the main cooling methods when integrating container systems. Air cooling has low cost, controllable battery cell temperature, and convenient operation and maintenance. It is the main cooling method mainly used in existing technologies. Liquid cooling has the advantages of high energy density, low system energy consumption, and low noise. In recent years, it has gradually replaced air cooling systems as the mainstream cooling method.

[0003] Whether using air or liquid cooling, cooling currently relies primarily on continuously operating chillers or air conditioners. This ensures the battery cells maintain a constant temperature between 20 and 25°C, extending their lifespan to over 20 years. However, this results in high energy consumption from the air conditioner or chiller. Integrators often fail to consider combining operational lifespan with the low energy consumption of air conditioners or chillers when developing thermal management strategies. They are seeking a thermal management strategy that meets the container's operational lifespan while also ensuring low energy consumption from the air conditioner or chiller. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a thermal management strategy optimization method and terminal to ensure the life span of container batteries while minimizing the energy consumption of air conditioners or chillers.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A thermal management strategy optimization method includes the following steps:

[0007] S1. Obtaining an optimal function for battery life SOH and / or an optimal power consumption P function for an air conditioner or chiller;

[0008] S2. Execute the thermal management strategy of the air conditioner and adjust the thermal management strategy of the air conditioner according to the battery life SOH optimal function and / or the optimal power consumption P function of the air conditioner or chiller.

[0009] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0010] A thermal management strategy optimization terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described above is implemented.

[0011] The beneficial effects of the present invention are: a thermal management strategy optimization method and terminal, which combines the operating life with the low energy consumption of the air conditioner or chiller, and adjusts the thermal management strategy according to the obtained battery life SOH optimal function and / or the air conditioner or chiller optimal power consumption P function, to obtain a thermal management strategy that meets the operating life of the container while also ensuring the low energy consumption of the air conditioner or chiller. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic flow chart of a method for optimizing a thermal management strategy according to an embodiment of the present invention;

[0013] Figure 2 A schematic flow chart of a life-priority charging and discharging refrigeration strategy according to an embodiment of the present invention;

[0014] Figure 3 A schematic flow chart of a low-energy-priority charging and discharging refrigeration strategy according to an embodiment of the present invention;

[0015] Figure 4 A schematic diagram of a storage cooling strategy according to an embodiment of the present invention;

[0016] Figure 5 A schematic flow chart of a heating strategy according to an embodiment of the present invention;

[0017] Figure 6 Schematic diagram of the dehumidification strategy of an embodiment of the present invention;

[0018] Figure 7 Schematic diagram of the process of the temperature difference reduction strategy according to an embodiment of the present invention;

[0019] Figure 8 The figure is a schematic structural diagram of a thermal management strategy optimization terminal according to an embodiment of the present invention.

[0020] Description of labels:

[0021] 1. A thermal management strategy for optimizing the terminal; 2. Processor; 3. Memory. DETAILED DESCRIPTION

[0022] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0023] Please refer to Figures 1 to 2 , a method,

[0024] A thermal management strategy optimization method includes the following steps:

[0025] S1. Obtaining an optimal function for battery life SOH and / or an optimal power consumption P function for an air conditioner or chiller;

[0026] S2. Execute the thermal management strategy of the air conditioner and adjust the thermal management strategy of the air conditioner according to the battery life SOH optimal function and / or the optimal power consumption P function of the air conditioner or chiller.

[0027] From the above description, it can be seen that the beneficial effects of the present invention are: a thermal management strategy optimization method and terminal, which combines the operating life with the low energy consumption of the air conditioner or chiller, and adjusts the thermal management strategy according to the obtained battery life SOH optimal function and / or the air conditioner or chiller optimal power consumption P function, to obtain a thermal management strategy that meets the operating life of the container while also ensuring the low energy consumption of the air conditioner or chiller.

[0028] Furthermore, the thermal management strategy includes:

[0029] Acquiring operating parameters of the battery, wherein the operating parameters include battery temperature and battery charge and discharge current;

[0030] Determine whether it is operating in the charge and discharge state, and if so, execute the charge and discharge cooling strategy;

[0031] Determine whether it is running in storage state, and if so, execute storage cooling strategy;

[0032] The adjustment of the thermal management strategy of the air conditioner according to the battery life SOH optimal function and / or the air conditioner or chiller optimal power consumption P function only adjusts the charging and discharging cooling strategy.

[0033] As can be seen from the above description, the battery life varies greatly during charging and discharging and storage, so different thermal management strategies need to be set for charging and discharging and storage.

[0034] Further,

[0035] The determining whether the operation is in the charge-discharge state is specifically to determine whether the charge-discharge current is greater than or equal to the set charge-discharge current and lasts for a first set time, and if so, it is determined to be in the charge-discharge state;

[0036] The determining whether the operation is in the storage state is specifically to determine whether the charge and discharge current is less than the set charge and discharge current and lasts for a first set time period. If so, it is determined to be in the storage state.

[0037] From the above description, it can be seen that the battery polarization is smaller and the temperature rise is lower at lower currents.

[0038] Furthermore, the charging and discharging cooling strategy includes: obtaining the current battery temperature, determining whether the current battery temperature is greater than a set first temperature, and if so, executing a charging and discharging cooling strategy with life priority; if not, executing a charging and discharging cooling strategy with low power priority; when executing the charging and discharging cooling strategy with life priority, adjusting the charging and discharging cooling strategy according to the battery life SOH optimal function; when executing the charging and discharging cooling strategy with low power priority, adjusting the charging and discharging cooling strategy with low power priority according to the optimal power consumption P function of the air conditioner or chiller.

[0039] From the above description, it can be seen that the higher the ambient temperature, the higher the energy consumption of the unit (air conditioner). Since the high temperature year accounts for a relatively short period of time, the battery life optimization strategy is prioritized, that is, the SOH function is used to automatically fit the thermal management strategy to start.

[0040] Furthermore, the life-prioritized charging and discharging refrigeration strategy includes:

[0041] Determine whether the maximum temperature Tmax of the battery cell is greater than the life priority stop temperature. If not, control the air conditioner or chiller to operate in the life priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis.

[0042] At each interval of the first set time, the charge and discharge current I, the maximum temperature of the battery cell Tmax, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the battery life SOH is greater than or equal to the set life according to the battery life SOH optimal function. If not, the set life, the charge and discharge current I during the life priority cooling mode, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature of the battery cell Tmax as the life priority stop temperature according to the battery life SOH optimal function;

[0043] If it is detected that the conditions for exiting the life priority cooling mode are met, the charge and discharge current I during the life priority cooling mode, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the battery life SOH is greater than or equal to the set life according to the battery life SOH optimal function. If not, the set life, the charge and discharge current I during the life priority cooling mode and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature Tmax of the battery cell as the life priority stop temperature according to the battery life SOH optimal function. Then, the life priority charge and discharge cooling strategy is exited and step S2 is re-executed. If so, the life priority charge and discharge cooling strategy is exited and step S2 is re-executed.

[0044] From the above description, it can be seen that a cooling strategy with life priority is given.

[0045] Furthermore, the charging and discharging refrigeration strategy of the low power consumption priority charging and discharging refrigeration strategy includes:

[0046] Determine whether the maximum temperature Tmax of the battery cell is greater than the low power priority stop temperature. If not, control the air conditioner or chiller to operate in the low power priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis.

[0047] At each interval of the first set duration, the charge and discharge current I, the maximum temperature of the battery cell Tmax, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the power consumption P is less than or equal to the set power consumption according to the optimal power consumption P function of the chiller. If not, the set power consumption, the charge and discharge current I during the low-power priority cooling mode, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature of the battery cell Tmax according to the optimal power consumption P function as the low-power priority stop temperature;

[0048] If it is detected that the conditions for exiting the low-power priority cooling mode are met, the charge and discharge current I during the low-power priority cooling mode, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the power consumption P is less than or equal to the set power consumption according to the optimal power consumption P function of the chiller. If not, the set power consumption, the charge and discharge current I during the low-power priority cooling mode and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature of the battery cell Tmax as the low-power priority stop temperature according to the optimal power consumption P function. Then, the life-priority charge and discharge cooling strategy is exited and step S2 is re-executed. If so, the low-power priority charge and discharge cooling strategy is exited and step S2 is re-executed.

[0049] From the above description, it can be seen that a cooling strategy with low power consumption priority is given.

[0050] Furthermore, the operating parameters also include ambient humidity and temperature difference.

[0051] The thermal management strategy also includes:

[0052] Determine whether the lowest battery temperature among the battery temperatures of the current energy storage system is lower than the set minimum temperature, and if so, execute the heating strategy;

[0053] Determine whether the ambient humidity is greater than the set humidity, and if so, execute the dehumidification strategy;

[0054] Determine whether the temperature difference of the battery cell is greater than the set temperature difference value. If so, execute the temperature difference reduction strategy.

[0055] From the above description, it can be seen that humidity management, low temperature management and temperature difference management are performed.

[0056] Furthermore, the heating strategy includes:

[0057] The charging current after the second set time is estimated, and the battery cells are continuously discharged at the set discharge current until the charging start condition is met;

[0058] If the expected charging current is less than or equal to the first charging current, then the heating mode is exited and step S2 is executed again;

[0059] If the expected charging current is greater than the first charging current and less than or equal to the second charging current, the heating mode is started in advance for the second set time, and the heating mode is exited and step S2 is executed again when the lowest battery temperature is detected to be greater than the first heating exit temperature;

[0060] If the expected charging current is greater than the second charging current, the heating mode is operated in advance for the third set time, and when it is detected that the lowest battery temperature is greater than the second heating exit temperature, the heating mode is exited and step S2 is executed again.

[0061] The second heating exit temperature is greater than the first heating exit temperature, the second charging current is greater than the first charging current, and the third set time is greater than the second set time.

[0062] From the above description, we can see that since the battery has different charging rates at different temperatures, a heating strategy is formulated under different charging rates to avoid a one-size-fits-all heating strategy that increases power consumption.

[0063] Furthermore, the dehumidification strategy includes:

[0064] The system runs in the dehumidification mode until the ambient humidity is less than 60%, then exits the dehumidification strategy and re-executes step S2. The dehumidification point of the dehumidification mode is 60%, and the hysteresis is 10%.

[0065] It can be seen from the above description that dehumidification is achieved.

[0066] Furthermore, the temperature difference reduction strategy includes:

[0067] The system operates in a self-circulation mode with only the fan or the water pump working until the temperature difference is less than 7° C., then exits the temperature difference reduction strategy and re-executes step S2.

[0068] It can be seen from the above description that the temperature difference is reduced.

[0069] Furthermore, the step S1 includes:

[0070] S11. Obtain station operation data.

[0071] S12. Approximate model of battery life SOH and chiller or air conditioner power consumption P based on the site operation data described in the first part.

[0072] S13. Modify the approximate model based on the station operation data described in Part 2

[0073] S14. Optimize the algorithm for the approximate model.

[0074] S15. Verify the optimization results based on the site operation data described in the third part. If the verification is successful, the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller are obtained. If the verification fails, obtain more site operation data and then execute steps S12-15.

[0075] From the above description, it can be seen that the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller are obtained.

[0076] Furthermore, the step S11 specifically obtains the ambient temperature Ta, charge and discharge current I, maximum cell temperature Tmax, battery life SOH, chiller cooling water temperature or air conditioner cooling air temperature TL, chiller or air conditioner power consumption P from the station operation data;

[0077] The step S12 specifically establishes a Kriging approximation model for the dependent variables battery life SOH and chiller or air conditioner power consumption P based on the site operation data described in the first part, with the charge and discharge current I, the maximum temperature Tmax of the battery cell, and the chiller cooling water temperature or air conditioner cooling air temperature TL as independent variables:

[0078] SOH = f(I, Tcell, TL);

[0079] P = f(I, Tcell, TL);

[0080] The step S13 specifically corrects the SOH and P according to the site operation data described in the second part, obtains the correction coefficients σ and ε, and obtains the relationship formula with the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL as independent variables, and the battery life SOH and the power consumption P of the chiller or air conditioner as dependent variables:

[0081] SOH = σ*f(I, Tcell, TL);

[0082] P = ε*f(I, Tcell, TL);

[0083] The step S14 specifically selects the optimal solution of battery life SOH and chiller or air conditioner power consumption P according to the site operation data described in the second part through the genetic algorithm NSGA-Ⅱ.

[0084] From the above description, it can be seen that the calculation method is given.

[0085] A thermal management strategy optimization terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described above is implemented.

[0086] The present invention is used for various energy storage systems to perform thermal management control on internal battery cells.

[0087] Please refer to Figure 1 , embodiment 1 of the present invention is:

[0088] A thermal management strategy optimization method includes the following steps:

[0089] S1. Obtaining an optimal function for battery life SOH and / or an optimal power consumption P function for an air conditioner or chiller.

[0090] Specifically, step S1 includes:

[0091] S11. Obtain station operation data.

[0092] Specifically, in this embodiment, the ambient temperature Ta, charge and discharge current I, maximum cell temperature Tmax, battery life SOH, chiller cooling water temperature or air conditioner cooling air temperature TL, and chiller or air conditioner power consumption P are obtained from the site operation data.

[0093] S12. Establish an approximate model of battery life SOH and chiller or air conditioner power consumption P based on the site operation data described in the first part.

[0094] Specifically, in this embodiment, based on the site operation data from the first quarter of the previous year, a Kriging approximation model is established for the dependent variables battery life SOH and chiller or air conditioner power consumption P, using the charge and discharge current I, the maximum cell temperature Tmax, and the chiller cooling water temperature or air conditioner cooling air temperature TL as independent variables, resulting in:

[0095] SOH = f(I, Tcell, TL);

[0096] P = f(I, Tcell, TL).

[0097] S13. Modify the approximate model based on the station operation data described in Part 2

[0098] Specifically, in this embodiment, SOH and P are corrected using data from the second quarter of the previous year to obtain correction coefficients σ and ε. This results in a relationship with the charge and discharge current I, the maximum cell temperature Tmax, and the chiller cooling water temperature or air conditioner cooling air temperature TL as independent variables, and the battery life SOH and the chiller or air conditioner power consumption P as dependent variables:

[0099] SOH = σ*f(I, Tcell, TL);

[0100] P = ε*f(I, Tcell, TL).

[0101] S14. Optimize the algorithm for the approximate model.

[0102] Specifically, the genetic algorithm NSGA-Ⅱ is used to select the optimal solution of battery life SOH and chiller or air conditioner power consumption P according to the independent variable database (charging and discharging current I, battery cell maximum temperature Tmax, chiller cooling water temperature or air conditioner cooling air temperature TL) of the site operation data described in the second part.

[0103] S15. Verify the optimization results based on the site operation data described in the third part. If the verification is successful, the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller are obtained. If the verification fails, obtain more site operation data and then execute steps S12-15.

[0104] In this embodiment, the optimization result is specifically verified using the data from the third quarter of the previous year. If the error rate is less than or equal to 5%, it means that the verification is passed; otherwise, it means that it has not been passed. If it has not been passed, more site operation data is obtained and steps S12-15 are executed. Specifically, the data from the fourth quarter of the previous year is added to increase the accuracy and rebuild the model. The correction and verification data can still use the data from the second and third quarters of the previous year, or more data can be added.

[0105] S2. Execute the thermal management strategy of the air conditioner and adjust the thermal management strategy of the air conditioner according to the battery life SOH optimal function and / or the optimal power consumption P function of the air conditioner or chiller.

[0106] Specifically, step S2 includes:

[0107] The operating parameters of the battery are obtained, wherein the operating parameters include battery temperature, ambient humidity, temperature difference, and battery charge and discharge current.

[0108] Determine whether it is running in the charging and discharging state, and if so, execute the charging and discharging cooling strategy.

[0109] Determine whether it is running in the storage state. If so, execute the storage cooling strategy.

[0110] Determine whether the lowest battery temperature among the battery temperatures of the current energy storage system is lower than the set minimum temperature, and if so, execute the heating strategy.

[0111] Determine whether the ambient humidity is greater than the set humidity. If so, execute the dehumidification strategy.

[0112] Determine whether the temperature difference of the battery cell is greater than the set temperature difference value. If so, execute the temperature difference reduction strategy.

[0113] The temperature difference of the battery cell is the difference between the maximum temperature Tmax and the minimum temperature Tmin of the battery cell, that is, Tmax-Tmin.

[0114] If all of the above are true, the air conditioner or chiller will be powered off.

[0115] Specifically, since storage has little effect on the life of the battery cell, in this embodiment, the adjustment of the thermal management strategy of the air conditioner according to the optimal function of battery life SOH and / or the optimal power consumption P function of the air conditioner or chiller only adjusts the charging and discharging refrigeration strategy. Since the battery is charged and discharged at a rate of 0.1C, the battery polarization is small and the temperature rise is low. Therefore, whether the charging and discharging current continues for a first set time period greater than or equal to the set charging and discharging current, if so, it is judged to be in the charging and discharging state. Whether the charging and discharging current continues for a first set time period less than the set charging and discharging current, if so, it is judged to be in the storage state. In this embodiment, the first set time period is specified as 30 minutes, and the charging and discharging current is set to the 0.1C current of the battery.

[0116] The minimum temperature is set to 0°C, the humidity is set to 70%, and the temperature difference is set to 7°C.

[0117] Please refer to Figure 2-Figure 7 , the second embodiment of the present invention is:

[0118] This embodiment further explains various strategies based on the first embodiment, wherein the charge-discharge cooling strategy includes:

[0119] Obtain the current battery temperature and determine whether the current battery temperature is greater than the set first temperature. If so, execute the life-priority charge-discharge cooling strategy; if not, execute the low-power-priority charge-discharge cooling strategy. When the life-priority charge-discharge cooling strategy is executed, adjust the charge-discharge cooling strategy according to the battery life SOH optimal function; when the low-power-priority charge-discharge cooling strategy is executed, adjust the low-power-priority charge-discharge cooling strategy according to the optimal power consumption P function of the air conditioner or chiller.

[0120] The life-priority charging and discharging refrigeration strategy is as follows Figure 2 As shown, including:

[0121] Determine whether the maximum temperature Tmax of the battery cell is greater than the life priority stop temperature. If so, control the air conditioner or chiller to operate in the life priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis;

[0122] Until the maximum temperature Tmax of the battery cell is lower than the life priority exit temperature for a first set time or the charge and discharge current is lower than the set charge and discharge current for a first set time, the air conditioner or chiller is powered off and stops working;

[0123] After the air conditioner or chiller is powered off and stops working, the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the battery life SOH is greater than or equal to the set life according to the battery life SOH optimal function; if not, the waiting time is set for each interval, and the set life, the charge and discharge current I during the life priority cooling mode and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature Tmax of the battery cell as the life priority stop temperature according to the battery life SOH optimal function, and the life priority charge and discharge cooling strategy is re-executed; if so, the life priority charge and discharge cooling strategy is exited and step S2 is re-executed.

[0124] The waiting time can be set as needed, for example, 30 minutes, and the waiting time should not be too short to avoid frequent starts and stops of the unit. The life priority exit temperature is specifically 22°C, the life priority stop temperature initial value is 25°C, and the set life is specifically 15 years.

[0125] The low power consumption priority charging and discharging refrigeration strategy is as follows Figure 3 As shown, including:

[0126] Determine whether the maximum temperature Tmax of the battery cell is greater than the low power priority stop temperature. If so, control the air conditioner or chiller to operate in the low power priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis;

[0127] Until the maximum temperature Tmax of the battery cell is lower than the low power priority exit temperature for a first set time or the charge and discharge current is lower than the set charge and discharge current for a first set time, the air conditioner or chiller is powered off and stops working;

[0128] After the air conditioner or chiller is powered off and stops working, the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the power consumption P is less than or equal to the set power consumption according to the optimal power consumption P function of the chiller; if not, a waiting time is set for each interval, and the set power consumption, the charge and discharge current I during the low-power priority cooling mode, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature of the battery cell Tmax as the low-power priority stop temperature according to the optimal power consumption P function, and re-execute the low-power priority charge and discharge cooling strategy; if so, exit the low-power priority charge and discharge cooling strategy and re-execute step S2.

[0129] The low power consumption priority exit temperature is specifically 25° C., the low power consumption priority stop temperature initial value is 30° C., and the set power consumption is specifically 2000W.

[0130] Among them, in this embodiment, the parameter settings of the specific refrigeration modules in the low power consumption priority charging and discharging refrigeration strategy and the life priority charging and discharging refrigeration strategy are the same. In other embodiments, the refrigeration stop point and refrigeration hysteresis under the two strategies can also be set differently.

[0131] The storage cooling strategy is as follows Figure 4 Shown, including:

[0132] Determine whether the maximum temperature Tmax of the battery cell is greater than the storage stop temperature. If so, control the air conditioner or chiller to operate in the storage cooling mode with 30°C as the cooling stop point and 5°C as the cooling return difference. If it is detected that the maximum temperature Tmax of the battery cell is less than the storage exit temperature, control the air conditioner or chiller to power off, stop working, exit the storage cooling mode, and re-execute step S2.

[0133] The heating strategy is as follows Figure 5 Shown, including:

[0134] The charging current after the second set time is estimated, and the battery cells are continuously discharged at the set discharge current until the charging start condition is met;

[0135] If the expected charging current is less than or equal to the first charging current, then the heating mode is exited and step S2 is executed again;

[0136] If the expected charging current is greater than the first charging current and less than or equal to the second charging current, the heating mode is started in advance for the second set time, and the heating mode is exited and step S2 is executed again when the lowest battery temperature is detected to be greater than the first heating exit temperature;

[0137] If the expected charging current is greater than the second charging current, the heating mode is operated in advance for the third set time, and when it is detected that the lowest battery temperature is greater than the second heating exit temperature, the heating mode is exited and step S2 is executed again.

[0138] The second heating exit temperature is greater than the first heating exit temperature, the second charging current is greater than the first charging current, and the third set time is greater than the second set time.

[0139] Specifically, the second heating exit temperature is 10°C, the first heating exit temperature is 5°C, the second charging current is 0.3C current of the battery, the first charging current is 0.1C current of the battery, the third set time is 3h, the second set time is 1.5h, the heating stop point of the heating mode is 20°C, and the heating hysteresis is 5°C.

[0140] The dehumidification strategy is as follows Figure 6 Shown, including:

[0141] The air conditioner operates in the dehumidification mode until the ambient humidity is less than 60%, then exits the dehumidification strategy and re-executes step S2. The dehumidification point of the dehumidification mode is 60%, and the hysteresis is 10%. The settings of the dehumidification point and hysteresis can be changed according to actual conditions, and this case is not limited thereto.

[0142] The temperature difference reduction strategy is as follows Figure 7 Shown, including:

[0143] The system operates in a self-circulation mode with only the fan in the air conditioner or only the water pump in the chiller working until the temperature difference is less than 7° C., then exits the temperature difference reduction strategy and re-executes step S2.

[0144] Please refer to Figure 8 , the third embodiment of the present invention is:

[0145] A thermal management strategy optimization terminal 1 includes a memory 3, a processor 2, and a computer program stored in the memory 3 and executable on the processor 2. When the processor 2 executes the computer program, the steps of the above-mentioned embodiment 1 are implemented.

[0146] To sum up, the present invention provides a thermal management strategy optimization method and terminal, which combines the operating life with the low energy consumption of the air conditioner or chiller, and adjusts the thermal management strategy according to the obtained battery life SOH optimal function and / or the air conditioner or chiller optimal power consumption P function, to obtain a thermal management strategy that meets the operating life of the container while also ensuring the low energy consumption of the air conditioner or chiller.

[0147] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A thermal management strategy optimization method, characterized in that: Including steps: S1. Obtain the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller; S2. Execute the thermal management strategy of the air conditioner and adjust the thermal management strategy of the air conditioner according to the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller; The thermal management strategy includes: Acquiring operating parameters of the battery, wherein the operating parameters include battery temperature and battery charge and discharge current; Determine whether it is operating in the charge and discharge state, and if so, execute the charge and discharge cooling strategy; Determine whether it is running in storage state, and if so, execute storage cooling strategy; The adjustment of the thermal management strategy of the air conditioner according to the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller only adjusts the charging and discharging cooling strategy; The charge-discharge cooling strategy includes: obtaining the current battery temperature, determining whether the current battery temperature is greater than a set first temperature, and if so, executing a charge-discharge cooling strategy that prioritizes lifespan; if not, executing a charge-discharge cooling strategy that prioritizes low power consumption; when executing the charge-discharge cooling strategy that prioritizes lifespan, adjusting the charge-discharge cooling strategy according to a battery life SOH optimal function; when executing the charge-discharge cooling strategy that prioritizes low power consumption, adjusting the charge-discharge cooling strategy according to an optimal power consumption P function of an air conditioner or chiller; The life-prioritized charging and discharging refrigeration strategy includes: Determine whether the maximum temperature Tmax of the battery cell is greater than the life priority stop temperature. If so, control the air conditioner or chiller to operate in the life priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis; Until the maximum temperature Tmax of the battery cell is lower than the life priority exit temperature for a first set time or the charge and discharge current is lower than the set charge and discharge current for a first set time, the air conditioner or chiller is powered off and stops working; After the air conditioner or chiller is powered off and stops working, the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the battery life SOH is greater than or equal to the set life according to the battery life SOH optimal function; if not, the waiting time is set for each interval, and the set life, the charge and discharge current I during the life priority cooling mode and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature Tmax of the battery cell as the life priority stop temperature according to the battery life SOH optimal function, and the life priority charge and discharge cooling strategy is re-executed; if so, the life priority charge and discharge cooling strategy is exited and step S2 is re-executed.

2. A thermal management strategy optimization method according to claim 1, characterized in that: The determining whether the operation is in the charge-discharge state is specifically to determine whether the charge-discharge current is greater than or equal to the set charge-discharge current and lasts for a first set time, and if so, it is determined to be in the charge-discharge state; The determining whether the operation is in the storage state is specifically to determine whether the charge and discharge current is less than the set charge and discharge current and lasts for a first set time period. If so, it is determined to be in the storage state.

3. The thermal management strategy optimization method according to claim 1, characterized in that: The charging and discharging refrigeration strategy of the low power consumption priority charging and discharging refrigeration strategy includes: Determine whether the maximum temperature Tmax of the battery cell is greater than the low power priority stop temperature. If so, control the air conditioner or chiller to operate in the low power priority cooling mode with 20°C as the cooling stop point and 5°C as the cooling hysteresis; Until the maximum temperature Tmax of the battery cell is lower than the low power priority exit temperature for a first set time or the charge and discharge current is lower than the set charge and discharge current for a first set time, the air conditioner or chiller is powered off and stops working; After the air conditioner or chiller is powered off and stops working, the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used to estimate whether the power consumption P is less than or equal to the set power consumption according to the optimal power consumption P function of the chiller; if not, a waiting time is set for each interval, and the set power consumption, the charge and discharge current I during the low-power priority cooling mode, and the cooling water temperature of the chiller or the cooling air temperature TL of the air conditioner are used as variables to calculate the maximum temperature of the battery cell Tmax as the low-power priority stop temperature according to the optimal power consumption P function, and re-execute the low-power priority charge and discharge cooling strategy; if so, exit the low-power priority charge and discharge cooling strategy and re-execute step S2.

4. The thermal management strategy optimization method according to claim 1, characterized in that: The operating parameters also include ambient humidity and temperature difference; The thermal management strategy also includes: Determine whether the lowest battery temperature among the battery temperatures of the current energy storage system is lower than the set minimum temperature, and if so, execute the heating strategy; Determine whether the ambient humidity is greater than the set humidity, and if so, execute the dehumidification strategy; Determine whether the temperature difference of the battery cell is greater than the set temperature difference value. If so, execute the temperature difference reduction strategy.

5. A thermal management strategy optimization method according to claim 4, characterized in that: The heating strategy includes: The charging current after the second set time is estimated, and the battery cells are continuously discharged at the set discharge current until the charging start condition is met; If the expected charging current is less than or equal to the first charging current, then the heating mode is exited and step S2 is executed again; If the expected charging current is greater than the first charging current and less than or equal to the second charging current, the heating mode is started in advance for the second set time, and the heating mode is exited and step S2 is executed again when the lowest battery temperature is detected to be greater than the first heating exit temperature; If the expected charging current is greater than the second charging current, the heating mode is started in advance for a third set time, and when it is detected that the lowest battery temperature is greater than the second heating exit temperature, the heating mode is exited and step S2 is executed again; The second heating exit temperature is greater than the first heating exit temperature, the second charging current is greater than the first charging current, and the third set time is greater than the second set time.

6. A thermal management strategy optimization method according to claim 4, characterized in that: The dehumidification strategy includes: The system runs in the dehumidification mode until the ambient humidity is less than 60%, then exits the dehumidification strategy and re-executes step S2. The dehumidification point of the dehumidification mode is 60%, and the hysteresis is 10%.

7. The thermal management strategy optimization method according to claim 4, characterized in that: The temperature difference reduction strategy includes: The system operates in a self-circulation mode with only the fan or the water pump working until the temperature difference is less than 5° C., then exits the temperature difference reduction strategy and re-executes step S2.

8. The thermal management strategy optimization method according to claim 1, characterized in that: The step S1 comprises: S11. Obtaining station operation data; S12. Approximate model of battery life SOH and chiller or air conditioner power consumption P based on the site operation data described in the first section; S13, modifying the approximate model according to the station operation data described in the second part; S14, performing algorithm optimization on the approximate model; S15. Verify the optimization results based on the site operation data described in the third part. If the verification is successful, the optimal function of battery life SOH and the optimal power consumption P function of the air conditioner or chiller are obtained. If the verification fails, obtain more site operation data and then execute steps S12-15.

9. The thermal management strategy optimization method according to claim 8, characterized in that: The step S11 specifically obtains the ambient temperature Ta, charge and discharge current I, maximum cell temperature Tmax, battery life SOH, chiller cooling water temperature or air conditioner cooling air temperature TL, chiller or air conditioner power consumption P from the station operation data; The step S12 specifically establishes a Kriging approximation model for the dependent variables battery life SOH and chiller or air conditioner power consumption P based on the site operation data described in the first part, with the charge and discharge current I, the maximum temperature Tmax of the battery cell, and the chiller cooling water temperature or air conditioner cooling air temperature TL as independent variables: SOH=f(I, Tmax, TL); P = f (I, Tmax, TL); The step S13 specifically corrects the SOH and P according to the site operation data described in the second part, obtains the correction coefficients σ and ε, and obtains the relationship formula with the charge and discharge current I, the maximum temperature of the battery cell Tmax, the cooling water temperature of the chiller or the cooling air temperature TL as independent variables, and the battery life SOH and the power consumption P of the chiller or air conditioner as dependent variables: SOH=σ*f(I, Tmax, TL); P =ε*f(I, Tmax, TL); The step S14 specifically selects the optimal solution of battery life SOH and chiller or air conditioner power consumption P according to the site operation data described in the second part through the genetic algorithm NSGA-Ⅱ.

10. A thermal management strategy optimization terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

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