Self-adaptive adjustment method, device and equipment for thermal management strategy of vehicle battery and medium

Abstract

The invention discloses a vehicle battery thermal management strategy self-adaptive adjustment method, device and equipment and a medium, and belongs to the technical field of new energy vehicle control. The vehicle battery thermal management strategy self-adaptive adjustment method comprises the steps that when a vehicle is powered on and an energy-saving mode is started, the numerical value of a first parameter is obtained, and the first parameter is used for representing the demand degree of the vehicle for the charging and discharging power performance of a battery; determining a target value interval to which the value of the first parameter belongs; adjusting a current battery thermal management strategy threshold according to a battery thermal management strategy threshold adjustment mode corresponding to the target numerical value interval; and executing the battery thermal management strategy based on the adjusted battery thermal management strategy threshold, so that the battery thermal management strategy threshold can be adaptively adjusted according to the demand degree of the vehicle for the battery charging and discharging power performance, the working time of the battery thermal management system is shortened, the battery power performance of the vehicle running in the plains and other areas for a long time can be reduced, and the battery power performance of the vehicle is improved. Therefore, the comprehensive energy consumption of vehicles is reduced.

Description

Technical Field

[0001] The present application relates to the field of new energy vehicle control technology, and specifically to a vehicle battery thermal management strategy adaptive adjustment method, device, equipment and computer-readable storage medium. Background Art

[0002] With the rapid development of new energy vehicles, how to efficiently and economically control the vehicle battery heating management system has become an urgent problem to be solved.

[0003] In the prior art, the OEM sets a baseline thermal management strategy based on the battery characteristics of the vehicle, and controls the vehicle battery heating management system through the baseline thermal management strategy. The goal of the baseline thermal management strategy is to quickly control the battery temperature to a value that enables the battery to reach the maximum charge and discharge capacity state. When the battery reaches the maximum charge and discharge capacity state, its charge and discharge power performance is the highest, and compared with the whole vehicle, this state has the best power performance.

[0004] However, when the battery is at its maximum charge and discharge capacity, the power performance redundancy is the largest and the energy conservation is the least. For vehicles that travel on plains for a long time, they do not need strong braking capabilities and do not require high energy feedback, that is, they do not need high battery power performance. If the battery heating management system is always controlled according to the baseline thermal management strategy, there will be energy waste. Summary of the invention

[0005] The present application provides a method, device, equipment and computer-readable storage medium for adaptively adjusting the thermal management strategy of a vehicle battery, which can solve the technical problems existing in the prior art such as energy waste if the battery heating management system is always controlled according to the baseline thermal management strategy for vehicles that travel in plains and other areas for a long time.

[0006] In a first aspect, an embodiment of the present application provides a vehicle battery thermal management strategy adaptive adjustment method, the vehicle battery thermal management strategy adaptive adjustment method comprising:

[0007] When the vehicle is powered on and the energy-saving mode is turned on, obtaining a value of a first parameter, the first parameter being used to characterize the degree of demand of the vehicle for battery charging and discharging power performance;

[0008] Determine a target value interval to which the value of the first parameter belongs;

[0009] Adjusting the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval;

[0010] The battery thermal management strategy is executed based on the adjusted battery thermal management strategy threshold.

[0011] In combination with the first aspect, in one implementation, before the vehicle is powered on and the energy-saving mode is turned on, the method further includes:

[0012] determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles;

[0013] Determining a target value of a third parameter, wherein the third parameter is used to characterize a cumulative weight of a current current of the battery approaching a peak current in all sampling cycles;

[0014] The target value of the third parameter is divided by the target value of the second parameter to obtain a quotient, which is used as the value of the first parameter and stored in the vehicle controller.

[0015] In combination with the first aspect, in one implementation, determining the target value of the second parameter includes:

[0016] The value of the second parameter determined in the last sampling period of the vehicle driving time is used as the target value of the second parameter;

[0017] The process of determining the value of the second parameter in each sampling period includes:

[0018] Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery;

[0019] When the battery is in a discharging state and the current current is greater than or equal to the product of the first coefficient multiplied by the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is less than or equal to the product of the second coefficient multiplied by the maximum rated charge current of the battery, a sum obtained by adding 1 to the value of the second parameter determined in the previous sampling period is determined as the value of the second parameter in the current sampling period, wherein a sum obtained by adding 1 to the initial value of the second parameter is determined as the value of the second parameter in the first sampling period;

[0020] When the battery is in a discharging state and the current current is less than the product of the first coefficient and the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is greater than the product of the second coefficient and the maximum rated charge current of the battery, the value of the second parameter determined in the previous sampling cycle is assigned to the value of the second parameter in the current sampling cycle, wherein the initial value of the second parameter is assigned to the value of the second parameter in the first sampling cycle.

[0021] In combination with the first aspect, in one implementation, determining the target value of the third parameter includes:

[0022] The value of the third parameter determined in the last sampling period of the vehicle driving time is used as the target value of the third parameter;

[0023] The process of determining the value of the third parameter in each sampling period includes:

[0024] Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery;

[0025] When the battery is in a discharging state, a first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current;

[0026] Determine a first weight coefficient corresponding to the numerical interval to which the first deviation ratio belongs, and determine the sum obtained by adding the value of the third parameter determined in the previous sampling period to the first weight coefficient as the value of the third parameter in the current sampling period, wherein the sum obtained by adding the initial value of the third parameter to the first weight coefficient is determined as the value of the third parameter in the first sampling period;

[0027] When the battery is in a charging state, a second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current;

[0028] Determine the second weight coefficient corresponding to the numerical interval to which the second deviation ratio belongs, and determine the sum of the numerical value of the third parameter determined in the previous sampling period and the second weight coefficient as the numerical value of the third parameter in the current sampling period, wherein the sum of the initial value of the third parameter and the second weight coefficient is determined as the numerical value of the third parameter in the first sampling period.

[0029] In combination with the first aspect, in one implementation, the first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current, and the corresponding formula is:

[0030]

[0031] Wherein, m is the first deviation ratio of the current current relative to the maximum rated discharge current, I is the current current, I1 is the maximum peak discharge current, I2 is the maximum rated discharge current, and a is the first coefficient;

[0032] The second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current, and the corresponding formula is:

[0033]

[0034] Among them, n is the second deviation ratio of the current current relative to the maximum rated charging current, I is the current current, I4 is the maximum peak charging current, I3 is the maximum rated charging current, and b is the second coefficient.

[0035] In combination with the first aspect, in one implementation, adjusting the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval includes:

[0036] When the target value interval is the first interval, subtracting the first calibration parameter from the current battery thermal management strategy threshold;

[0037] When the target value interval is the second interval, the current battery thermal management strategy threshold is maintained unchanged;

[0038] When the target value interval is the third interval, the current battery thermal management strategy threshold is added to the second calibration parameter;

[0039] The upper limit value of the first interval is smaller than the lower limit value of the second interval, and the upper limit value of the second interval is smaller than the lower limit value of the third interval.

[0040] In a second aspect, an embodiment of the present application provides a vehicle battery thermal management strategy adaptive adjustment device, the vehicle battery thermal management strategy adaptive adjustment device comprising:

[0041] An acquisition module, used for acquiring a value of a first parameter when the vehicle is powered on and the energy-saving mode is turned on, wherein the first parameter is used to characterize the degree of demand of the vehicle for the battery charging and discharging power performance;

[0042] A first determination module, used to determine a target value interval to which a value of a first parameter belongs;

[0043] An adjustment module, used to adjust the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval;

[0044] The execution module is used to execute the battery thermal management strategy based on the adjusted battery thermal management strategy threshold.

[0045] In combination with the second aspect, in one implementation, the vehicle battery thermal management strategy adaptive adjustment device further includes a second determination module, and the second determination module is specifically used to:

[0046] determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles;

[0047] Determining a target value of a third parameter, wherein the third parameter is used to characterize a cumulative weight of a current current of the battery approaching a peak current in all sampling cycles;

[0048] The target value of the third parameter is divided by the target value of the second parameter to obtain a quotient, which is used as the value of the first parameter and stored in the vehicle controller.

[0049] In a third aspect, an embodiment of the present application provides a vehicle battery thermal management strategy adaptive adjustment device, the vehicle battery thermal management strategy adaptive adjustment device comprising a processor, a memory, and a vehicle battery thermal management strategy adaptive adjustment program stored in the memory and executable by the processor, wherein when the vehicle battery thermal management strategy adaptive adjustment program is executed by the processor, the steps of the vehicle battery thermal management strategy adaptive adjustment method as described in any one of the first aspects are implemented.

[0050] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a vehicle battery thermal management strategy adaptive adjustment program is stored. When the vehicle battery thermal management strategy adaptive adjustment program is executed by a processor, the steps of the vehicle battery thermal management strategy adaptive adjustment method as described in any one of the first aspects are implemented.

[0051] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0052] When the vehicle is powered on and the energy-saving mode is turned on, the value of the first parameter is obtained, and the first parameter is used to characterize the vehicle's demand for battery charging and discharging power performance; the target value interval to which the value of the first parameter belongs is determined; the current battery thermal management strategy threshold is adjusted according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval; based on the adjusted battery thermal management strategy threshold, the battery thermal management strategy is executed, so that the battery thermal management strategy threshold can be adaptively adjusted according to the vehicle's demand for battery charging and discharging power performance, thereby reducing the working time of the battery thermal management system, and can reduce the battery power performance of vehicles that travel for a long time in plains and other areas, thereby reducing the overall energy consumption of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is one of the flow charts of the first embodiment of the vehicle battery thermal management strategy adaptive adjustment method of the present application;

[0054] Figure 2 This is the second flow chart of the first embodiment of the vehicle battery thermal management strategy adaptive adjustment method of the present application;

[0055] Figure 3 This is a functional module diagram of an embodiment of a vehicle battery thermal management strategy adaptive adjustment device of the present application;

[0056] Figure 4This is a schematic diagram of the hardware structure of the vehicle battery thermal management strategy adaptive adjustment device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0058] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0059] In a first aspect, an embodiment of the present application provides a method for adaptively adjusting a vehicle battery thermal management strategy.

[0060] In one embodiment, referring to Figure 1 , Figure 1 This is one of the flow charts of the first embodiment of the vehicle battery thermal management strategy adaptive adjustment method of the present application. Figure 1 As shown, the vehicle battery thermal management strategy adaptive adjustment method includes:

[0061] Step 110: when the vehicle is powered on and the energy-saving mode is turned on, obtaining a value of a first parameter, where the first parameter is used to characterize the degree of demand of the vehicle for battery charging and discharging power performance;

[0062] It can be understood that for vehicles that travel on plains for a long time, the vehicle's demand for battery charging and discharging power performance is relatively low; for vehicles that travel in mountainous areas for a long time, the vehicle's demand for battery charging and discharging power performance is relatively high.

[0063] In the present application, the OEM determines the initial value of the first parameter P used to characterize the vehicle's demand for battery charging and discharging power performance before the vehicle leaves the factory, and stores it in the vehicle controller.

[0064] In a specific implementation, when the vehicle is powered on and the energy-saving mode is turned on, the value of the first parameter P is obtained from the vehicle controller.

[0065] Step 120, determining the target value interval to which the value of the first parameter belongs;

[0066] For the first parameter, multiple levels of numerical ranges are preset, and each numerical range corresponds to a battery thermal management strategy threshold adjustment method.

[0067] After the value of the first parameter P is obtained from the vehicle controller, a target value interval to which the value of the first parameter belongs is determined from among multiple pre-set levels of value intervals.

[0068] Step 130, adjusting the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval;

[0069] Generally speaking, the battery thermal management strategy thresholds include T1, T2, T3 and T4. The values ​​of T1, T2, T3 and T4 are set according to the battery performance. The start condition of the battery thermal management system is: Tmin≤T1 and Tmax≤T2. The shutdown condition of the battery thermal management system is: Tmin≥T3 or Tmax≥T4, where Tmin is the lowest temperature value uploaded by all battery temperature sensors of the battery system, and Tmax is the highest temperature value uploaded by all battery temperature sensors of the battery system.

[0070] When the battery thermal management strategy threshold adjustment method corresponding to the target numerical interval is to increase the current battery thermal management strategy threshold, the current battery thermal management strategy threshold is increased; when the battery thermal management strategy threshold adjustment method corresponding to the target numerical interval is to reduce the current battery thermal management strategy threshold, the current battery thermal management strategy threshold is reduced; when the battery thermal management strategy threshold adjustment method corresponding to the target numerical interval is to maintain the current battery thermal management strategy threshold unchanged, the current battery thermal management strategy threshold is not processed, thereby realizing adaptive adjustment of T1, T2, T3 and T4.

[0071] Step 140: Execute the battery thermal management strategy based on the adjusted battery thermal management strategy threshold.

[0072] Further, assuming that the adjusted battery thermal management strategy thresholds are T1', T2', T3' and T4', when Tmin≤T1' and Tmax≤T2', the battery thermal management system is turned on; when Tmin≥T3' or Tmax≥T4', the battery thermal management system is turned off.

[0073] In this embodiment, when the vehicle is powered on and the energy-saving mode is turned on, the value of the first parameter is obtained, and the first parameter is used to characterize the vehicle's demand for battery charging and discharging power performance; the target value interval to which the value of the first parameter belongs is determined; the current battery thermal management strategy threshold is adjusted according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval; based on the adjusted battery thermal management strategy threshold, the battery thermal management strategy is executed, so that the battery thermal management strategy threshold can be adaptively adjusted according to the vehicle's demand for battery charging and discharging power performance, thereby reducing the working time of the battery thermal management system, and can reduce the battery power performance of vehicles that travel for a long time in plains and other areas, thereby reducing the overall energy consumption of the vehicle.

[0074] Furthermore, in one embodiment, before the vehicle is powered on and the energy-saving mode is turned on, the method further includes:

[0075] Step 210: determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles;

[0076] Step 220: determining a target value of a third parameter, where the third parameter is used to characterize the cumulative weight of the current current of the battery approaching the peak current in all sampling cycles;

[0077] Step 230: Divide the target value of the third parameter by the target value of the second parameter to obtain a quotient, and use the quotient as the value of the first parameter and store it in the vehicle controller.

[0078] It can be understood that before the vehicle is powered on and the energy-saving mode is turned on, it is necessary to first determine the value of the first parameter P. In the present application, the value of the first parameter is determined by the target value of the second parameter and the target value of the third parameter, specifically P=S2 / S1, S1 is the second parameter used to characterize the cumulative number of times the current current of the battery exceeds the maximum rated current in all sampling cycles, and S2 is the third parameter used to characterize the cumulative weight of the current current of the battery approaching the peak current in all sampling cycles.

[0079] Assume that the vehicle travels for 1000s, the sampling period is 1s, and the initial value of the second parameter is 1. In each sampling period, the current current of the battery is collected to determine whether it exceeds the maximum rated current. After traversing each sampling period, the value obtained by adding the number of times the current current exceeds the maximum rated current and the initial value of the second parameter is used as the target value of the second parameter. If the cumulative number of times the current current exceeds the maximum rated current in 1000 sampling periods is 200, then the target value of the second parameter is 201.

[0080] Similarly, assuming that the vehicle driving time is 1000s, the sampling period is 1s, and the initial value of the third parameter is 1. In each sampling period, the current current of the battery is collected, and the deviation ratio of the current current relative to the maximum rated current is determined, and then the weight coefficient corresponding to the numerical interval to which the deviation ratio belongs is determined; after traversing each sampling period, the value obtained by adding the weight coefficient determined in each sampling period and the initial value of the third parameter is used as the target value of the third parameter.

[0081] Finally, the target value of the third parameter is divided by the target value of the second parameter, and the obtained quotient is used as the value of the first parameter and stored in the vehicle controller.

[0082] In this embodiment, a specific method for determining the value of the first parameter is provided in order to prepare for adaptive adjustment of the battery thermal management strategy threshold.

[0083] Further, in one embodiment, determining the target value of the second parameter includes:

[0084] The value of the second parameter determined in the last sampling period of the vehicle driving time is used as the target value of the second parameter;

[0085] The process of determining the value of the second parameter in each sampling period includes:

[0086] Step 310: Obtain the current of the battery, and determine the state of the battery based on the current current of the battery;

[0087] In specific implementation, in each sampling cycle, the current current of the battery is obtained by reading the value in the current sensor. When the current current is a positive number, the battery is determined to be in a discharging state; when the current current is a negative number, the battery is determined to be in a charging state.

[0088] Step 320: When the battery is in a discharging state and the current current is greater than or equal to the product of the first coefficient multiplied by the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is less than or equal to the product of the second coefficient multiplied by the maximum rated charge current of the battery, a sum obtained by adding 1 to the value of the second parameter determined in the previous sampling period is determined as the value of the second parameter in the current sampling period, wherein a sum obtained by adding 1 to the initial value of the second parameter is determined as the value of the second parameter in the first sampling period;

[0089] In specific implementation, when the battery is in a discharging state and I≥a*I2, I is the current current, a is the first coefficient, and I2 is the maximum rated discharge current; or when the battery is in a charging state and I≤b*I3, b is the second coefficient, and I3 is the maximum rated charging current, S1'=S1+1 is executed, S1' is the value of the second parameter of the current sampling period, and S1 is the value of the second parameter determined in the previous sampling period.

[0090] Assuming that the initial value of the second parameter is 1, if it is the first sampling cycle, the value 2 obtained by adding 1 to the initial value 1 of the second parameter is determined as the value of the second parameter in the first sampling cycle; if it is the second sampling cycle, the sum of the value 2 of the second parameter determined in the first sampling cycle plus 1 is determined as the value of the second parameter in the second sampling cycle, and so on.

[0091] Step 330: When the battery is in a discharging state and the current current is less than the product of the first coefficient and the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is greater than the product of the second coefficient and the maximum rated charge current of the battery, the value of the second parameter determined in the previous sampling cycle is assigned to the value of the second parameter in the current sampling cycle, wherein the initial value of the second parameter is assigned to the value of the second parameter in the first sampling cycle.

[0092] In specific implementation, when the battery is in a discharge state and I<a*I2, I is the current current, a is the first coefficient, and I2 is the maximum rated discharge current, or when the battery is in a charge state and I>b*I3, b is the second coefficient, and I3 is the maximum rated charge current, S1'=S1 is executed, S1' is the value of the second parameter of the current sampling cycle, and S1 is the value of the second parameter determined in the previous sampling cycle. In order to prevent the battery from being overused, the first coefficient and the second coefficient are set to limit the rated current of the battery within a certain range. The specific values ​​of the first coefficient and the second coefficient can be flexibly adjusted according to actual needs, and this application does not make specific restrictions on this.

[0093] Assuming that the initial value of the second parameter is 1, if it is the first sampling cycle, the initial value of the second parameter is assigned to the value of the second parameter of the first sampling cycle, that is, the value of the second parameter of the first sampling cycle is determined to be 1; if it is the second sampling cycle, the value 1 of the second parameter determined in the first sampling cycle is assigned to the value of the second parameter of the second sampling cycle, and so on.

[0094] Finally, the value of the second parameter determined in the last sampling period of the vehicle driving time is used as the target value of the second parameter.

[0095] In this embodiment, it is described how to determine the value of the second parameter in each sampling period and how to determine the target value of the second parameter, in preparation for determining the value of the first parameter.

[0096] Further, in one embodiment, determining the target value of the third parameter includes:

[0097] The value of the third parameter determined in the last sampling period of the vehicle driving time is used as the target value of the third parameter;

[0098] The process of determining the value of the third parameter in each sampling period includes:

[0099] Step 410: Obtain the current of the battery, and determine the state of the battery based on the current current of the battery;

[0100] In specific implementation, in each sampling cycle, the current current of the battery is obtained by reading the value in the current sensor. When the current current is a positive number, the battery is determined to be in a discharging state; when the current current is a negative number, the battery is determined to be in a charging state.

[0101] Step 420: When the battery is in a discharging state, a first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current;

[0102] Determine a first weight coefficient corresponding to the numerical interval to which the first deviation ratio belongs, and determine the sum obtained by adding the value of the third parameter determined in the previous sampling period to the first weight coefficient as the value of the third parameter in the current sampling period, wherein the sum obtained by adding the initial value of the third parameter to the first weight coefficient is determined as the value of the third parameter in the first sampling period;

[0103] In specific implementation, when the battery is in a discharging state, firstly, based on the current current, the maximum rated discharge current, and the maximum peak discharge current, the first deviation ratio of the current current relative to the maximum rated discharge current is calculated, and the corresponding formula is:

[0104]

[0105] Wherein, m is the first deviation ratio of the current current relative to the maximum rated discharge current, I is the current current, I1 is the maximum peak discharge current, I2 is the maximum rated discharge current, and a is the first coefficient;

[0106] For the first deviation ratio, multiple levels of numerical ranges are preset, and each numerical range corresponds to a first weight coefficient.

[0107] Exemplarily, S2' is the value of the third parameter in the current sampling period, S2 is the value of the third parameter determined in the previous sampling period, and when I≥0, the following is performed:

[0108] When m≤0, S2'=S2;

[0109] When 0<m≤0.1, S2'=S2+1;

[0110] When 0.1<m≤0.2, S2'=S2+2;

[0111] When 0.2<m≤0.3, S2'=S2+3;

[0112] When 0.3<m≤0.4, S2'=S2+5;

[0113] When 0.4<m≤0.5, S2'=S2+8;

[0114] When 0.5<m≤0.6, S2'=S2+13;

[0115] When 0.6<m≤0.7, S2'=S2+21;

[0116] When 0.7<m, S2'=S2+34.

[0117] Among them, 1, 2, 3, 5, 8, 13, 21, and 34 in the above formula are the first weight coefficients, and the value of the first weight coefficient can be flexibly set according to demand, and this application does not make specific restrictions on this. Preferably, the latter term is the sum of the first two terms, so as to amplify the weight close to the peak value, because the closer to the peak capacity, the heavier the battery's demand for power, and the weight is increased to better reflect the needs of the vehicle.

[0118] Assuming that the initial value of the third parameter is 1, if it is the first sampling cycle, when 0.5<m≤0.6, the first weight coefficient is determined to be 13, and the sum 14 obtained by adding the initial value 1 of the third parameter plus the first weight coefficient 13 is determined as the value of the third parameter of the first sampling cycle; if it is the second sampling cycle, when 0.6<m≤0.7, the first weight coefficient is determined to be 21, and the sum 35 obtained by adding the value 14 of the third parameter determined in the first sampling cycle and the first weight coefficient 21 is determined as the value of the third parameter of the second sampling cycle, and so on.

[0119] Step 430: When the battery is in a charging state, a second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current;

[0120] Determine the second weight coefficient corresponding to the numerical interval to which the second deviation ratio belongs, and determine the sum of the numerical value of the third parameter determined in the previous sampling period and the second weight coefficient as the numerical value of the third parameter in the current sampling period, wherein the sum of the initial value of the third parameter and the second weight coefficient is determined as the numerical value of the third parameter in the first sampling period.

[0121] In specific implementation, when the battery is in a charging state, firstly, based on the current current, the maximum rated charging current, and the maximum peak charging current, the second deviation ratio of the current current relative to the maximum rated charging current is calculated, and the corresponding formula is:

[0122] Among them, n is the second deviation ratio of the current current relative to the maximum rated charging current, I is the current current, I4 is the maximum peak charging current, I3 is the maximum rated charging current, and b is the second coefficient.

[0123] For the second deviation ratio, multiple levels of numerical ranges are preset, and each numerical range corresponds to a second weight coefficient.

[0124] Exemplarily, S2' is the value of the third parameter in the current sampling period, S2 is the value of the third parameter determined in the previous sampling period, and when I<0, the following is performed:

[0125] When n≤0, S2'=S2;

[0126] When 0<n≤0.1, S2'=S2+1;

[0127] When 0.1<n≤0.2, S2'=S2+2;

[0128] When 0.2<n≤0.3, S2'=S2+3;

[0129] When 0.3<n≤0.4, S2'=S2+5;

[0130] When 0.4<n≤0.5, S2'=S2+8;

[0131] When 0.5<n≤0.6, S2'=S2+13;

[0132] When 0.6<n≤0.7, S2'=S2+21;

[0133] When 0.7<n, S2'=S2+34.

[0134] Among them, 1, 2, 3, 5, 8, 13, 21, and 34 in the above formula are the second weight coefficients, and the values ​​of the second weight coefficients can be flexibly set according to the needs, and this application does not make specific restrictions on this. Preferably, the latter term is the sum of the first two terms, so as to amplify the weight close to the peak value, because the closer to the peak capacity, the heavier the battery's demand for power, and the weight is increased to better reflect the needs of the vehicle.

[0135] Assuming that the initial value of the third parameter is 1, if it is the first sampling cycle, when 0.5<n≤0.6, the second weight coefficient is determined to be 13, and the sum 14 obtained by adding the initial value 1 of the third parameter plus the second weight coefficient 13 is determined as the value of the third parameter of the first sampling cycle; if it is the second sampling cycle, when 0.6<n≤0.7, the second weight coefficient is determined to be 21, and the sum 35 obtained by adding the value 14 of the third parameter determined in the first sampling cycle and the second weight coefficient 21 is determined as the value of the third parameter of the second sampling cycle, and so on.

[0136] Finally, the value of the third parameter determined in the last sampling period of the vehicle driving time is used as the target value of the third parameter.

[0137] In this embodiment, it is described how to determine the value of the third parameter in each sampling period and how to determine the target value of the third parameter, so as to prepare for determining the value of the first parameter.

[0138] Further, in one embodiment, the current battery thermal management strategy threshold is adjusted according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval, including:

[0139] When the target value interval is the first interval, subtracting the first calibration parameter from the current battery thermal management strategy threshold;

[0140] When the target value interval is the second interval, the current battery thermal management strategy threshold is maintained unchanged;

[0141] When the target value interval is the third interval, the current battery thermal management strategy threshold is added to the second calibration parameter;

[0142] The upper limit value of the first interval is smaller than the lower limit value of the second interval, and the upper limit value of the second interval is smaller than the lower limit value of the third interval.

[0143] During specific implementation, the first interval is set as: P≤first set value; the second interval is set as: first set value<P<second set value; and the third interval is set as: second set value≤P.

[0144] When P ≤ the first set value, the vehicle is considered to have power redundancy, and the first calibration parameter c is subtracted from the current battery thermal management strategy threshold, that is, T1' = T1-c, T2' = T2-c, T3' = T3-c, T4' = T4-c;

[0145] When the first setting value < P < the second setting value, it is considered that the vehicle power is suitable for the current working conditions, and the current battery thermal management strategy threshold is maintained unchanged;

[0146] When the second set value ≤ P, the vehicle is considered to have insufficient power, and the current battery thermal management strategy threshold is added with the second calibration parameter d, that is, T1'=T1+d, T2'=T2+d, T3'=T3+d, T4'=T4+d. Among them, the adjusted current battery thermal management strategy thresholds T1', T2', T3' and T4' cannot be greater than their corresponding initial reference values.

[0147] In this embodiment, a battery thermal management strategy threshold adjustment method corresponding to different target numerical intervals is given. The current battery thermal management strategy threshold is adjusted according to the battery thermal management strategy threshold adjustment method corresponding to each target numerical interval, so that the battery thermal management strategy threshold can be adaptively adjusted according to the vehicle's demand for battery charging and discharging power performance.

[0148] Furthermore, in one embodiment, Figure 2This is the second flow chart of the first embodiment of the method for adaptively adjusting the vehicle battery thermal management strategy of the present application. It can realize adaptive adjustment of the battery thermal management strategy threshold according to the vehicle's demand for battery charging and discharging power performance, reduce the working time of the battery thermal management system, and reduce the battery power performance of vehicles that travel for a long time in plains and other areas, thereby reducing the overall energy consumption of the vehicle.

[0149] In a second aspect, an embodiment of the present application also provides a vehicle battery thermal management strategy adaptive adjustment device.

[0150] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the vehicle battery thermal management strategy adaptive adjustment device of the present application. Figure 3 As shown, the vehicle battery thermal management strategy adaptive adjustment device 300 includes:

[0151] An acquisition module 301 is used to acquire a value of a first parameter when the vehicle is powered on and the energy-saving mode is turned on, wherein the first parameter is used to characterize the degree of demand of the vehicle for the battery charging and discharging power performance;

[0152] A first determination module 302 is used to determine a target value interval to which the value of the first parameter belongs;

[0153] An adjustment module 303 is used to adjust the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval;

[0154] The execution module 304 is configured to execute the battery thermal management strategy based on the adjusted battery thermal management strategy threshold.

[0155] Furthermore, in one embodiment, the vehicle battery thermal management strategy adaptive adjustment device further includes a second determination module, and the second determination module is specifically used to:

[0156] determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles;

[0157] Determining a target value of a third parameter, wherein the third parameter is used to characterize a cumulative weight of a current current of the battery approaching a peak current in all sampling cycles;

[0158] The target value of the third parameter is divided by the target value of the second parameter to obtain a quotient, which is used as the value of the first parameter and stored in the vehicle controller.

[0159] Further, in one embodiment, the second determining module is specifically configured to:

[0160] The value of the second parameter determined in the last sampling period of the vehicle driving time is used as the target value of the second parameter;

[0161] The process of determining the value of the second parameter in each sampling period includes:

[0162] Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery;

[0163] When the battery is in a discharging state and the current current is greater than or equal to the product of the first coefficient multiplied by the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is less than or equal to the product of the second coefficient multiplied by the maximum rated charge current of the battery, a sum obtained by adding 1 to the value of the second parameter determined in the previous sampling period is determined as the value of the second parameter in the current sampling period, wherein a sum obtained by adding 1 to the initial value of the second parameter is determined as the value of the second parameter in the first sampling period;

[0164] When the battery is in a discharging state and the current current is less than the product of the first coefficient and the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is greater than the product of the second coefficient and the maximum rated charge current of the battery, the value of the second parameter determined in the previous sampling cycle is assigned to the value of the second parameter in the current sampling cycle, wherein the initial value of the second parameter is assigned to the value of the second parameter in the first sampling cycle.

[0165] Further, in one embodiment, the second determining module is specifically configured to:

[0166] The value of the third parameter determined in the last sampling period of the vehicle driving time is used as the target value of the third parameter;

[0167] The process of determining the value of the third parameter in each sampling period includes:

[0168] Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery;

[0169] When the battery is in a discharging state, a first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current;

[0170] Determine a first weight coefficient corresponding to the numerical interval to which the first deviation ratio belongs, and determine the sum obtained by adding the value of the third parameter determined in the previous sampling period to the first weight coefficient as the value of the third parameter in the current sampling period, wherein the sum obtained by adding the initial value of the third parameter to the first weight coefficient is determined as the value of the third parameter in the first sampling period;

[0171] When the battery is in a charging state, a second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current;

[0172] Determine the second weight coefficient corresponding to the numerical interval to which the second deviation ratio belongs, and determine the sum of the numerical value of the third parameter determined in the previous sampling period and the second weight coefficient as the numerical value of the third parameter in the current sampling period, wherein the sum of the initial value of the third parameter and the second weight coefficient is determined as the numerical value of the third parameter in the first sampling period.

[0173] Further, in one embodiment, the second determination module calculates a first deviation ratio of the current current relative to the maximum rated discharge current, and the corresponding formula is:

[0174]

[0175] Wherein, m is the first deviation ratio of the current current relative to the maximum rated discharge current, I is the current current, I1 is the maximum peak discharge current, I2 is the maximum rated discharge current, and a is the first coefficient;

[0176] The second determination module calculates a second deviation ratio of the current current relative to the maximum rated charging current, and the corresponding formula is:

[0177]

[0178] Among them, n is the second deviation ratio of the current current relative to the maximum rated charging current, I is the current current, I4 is the maximum peak charging current, I3 is the maximum rated charging current, and b is the second coefficient.

[0179] Furthermore, in one embodiment, the adjustment module is specifically used for:

[0180] When the target value interval is the first interval, subtracting the first calibration parameter from the current battery thermal management strategy threshold;

[0181] When the target value interval is the second interval, the current battery thermal management strategy threshold is maintained unchanged;

[0182] When the target value interval is the third interval, the current battery thermal management strategy threshold is added to the second calibration parameter;

[0183] The upper limit value of the first interval is smaller than the lower limit value of the second interval, and the upper limit value of the second interval is smaller than the lower limit value of the third interval.

[0184] Among them, the functional implementation of each module in the above-mentioned vehicle battery thermal management strategy adaptive adjustment device corresponds to the various steps in the above-mentioned vehicle battery thermal management strategy adaptive adjustment method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0185] In a third aspect, an embodiment of the present application provides a vehicle battery thermal management strategy adaptive adjustment device, which can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0186] Reference Figure 4 , Figure 4 The hardware structure diagram of the vehicle battery thermal management strategy adaptive adjustment device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the vehicle battery thermal management strategy adaptive adjustment device may include a processor, a memory, a communication interface, and a communication bus.

[0187] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0188] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the vehicle battery thermal management strategy adaptive adjustment device, and the interface used to realize the interconnection between the vehicle battery thermal management strategy adaptive adjustment device and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0189] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0190] The processor may be a general-purpose processor, which may call the vehicle battery thermal management strategy adaptive adjustment program stored in the memory and execute the vehicle battery thermal management strategy adaptive adjustment method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the vehicle battery thermal management strategy adaptive adjustment program is called may refer to the various embodiments of the vehicle battery thermal management strategy adaptive adjustment method of the present application, which will not be repeated here.

[0191] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0192] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0193] The computer-readable storage medium of the present application stores a vehicle battery thermal management strategy adaptive adjustment program, wherein when the vehicle battery thermal management strategy adaptive adjustment program is executed by a processor, the steps of the vehicle battery thermal management strategy adaptive adjustment method as described above are implemented.

[0194] Among them, the method implemented when the vehicle battery thermal management strategy adaptive adjustment program is executed can refer to the various embodiments of the vehicle battery thermal management strategy adaptive adjustment method of the present application, and will not be repeated here.

[0195] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0196] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0197] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0198] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0199] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0200] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0201] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A vehicle battery thermal management strategy adaptive adjustment method, characterized in that: The vehicle battery thermal management strategy adaptive adjustment method comprises: When the vehicle is powered on and the energy-saving mode is turned on, obtaining a value of a first parameter, the first parameter being used to characterize the degree of demand of the vehicle for battery charging and discharging power performance; Determine a target value interval to which the value of the first parameter belongs; Adjusting the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval; The battery thermal management strategy is executed based on the adjusted battery thermal management strategy threshold.

2. The vehicle battery thermal management strategy adaptive adjustment method according to claim 1, characterized in that: Before the vehicle is powered on and the energy saving mode is turned on, the method further includes: determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles; Determining a target value of a third parameter, wherein the third parameter is used to characterize a cumulative weight of a current current of the battery approaching a peak current in all sampling cycles; The target value of the third parameter is divided by the target value of the second parameter to obtain a quotient, which is used as the value of the first parameter and stored in the vehicle controller.

3. The vehicle battery thermal management strategy adaptive adjustment method according to claim 2, characterized in that: Determining the target value of the second parameter includes: The value of the second parameter determined in the last sampling period of the vehicle driving time is used as the target value of the second parameter; The process of determining the value of the second parameter in each sampling period includes: Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery; When the battery is in a discharging state and the current current is greater than or equal to the product of the first coefficient multiplied by the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is less than or equal to the product of the second coefficient multiplied by the maximum rated charge current of the battery, a sum obtained by adding 1 to the value of the second parameter determined in the previous sampling period is determined as the value of the second parameter in the current sampling period, wherein a sum obtained by adding 1 to the initial value of the second parameter is determined as the value of the second parameter in the first sampling period; When the battery is in a discharging state and the current current is less than the product of the first coefficient and the maximum rated discharge current of the battery, or when the battery is in a charging state and the current current is greater than the product of the second coefficient and the maximum rated charge current of the battery, the value of the second parameter determined in the previous sampling cycle is assigned to the value of the second parameter in the current sampling cycle, wherein the initial value of the second parameter is assigned to the value of the second parameter in the first sampling cycle.

4. The vehicle battery thermal management strategy adaptive adjustment method according to claim 2, characterized in that: Determining the target value of the third parameter includes: The value of the third parameter determined in the last sampling period of the vehicle driving time is used as the target value of the third parameter; The process of determining the value of the third parameter in each sampling period includes: Obtaining a current of the battery, and determining a state of the battery based on the current current of the battery; When the battery is in a discharging state, a first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current; Determine a first weight coefficient corresponding to the numerical interval to which the first deviation ratio belongs, and determine the sum obtained by adding the value of the third parameter determined in the previous sampling period to the first weight coefficient as the value of the third parameter in the current sampling period, wherein the sum obtained by adding the initial value of the third parameter to the first weight coefficient is determined as the value of the third parameter in the first sampling period; When the battery is in a charging state, a second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current; Determine the second weight coefficient corresponding to the numerical interval to which the second deviation ratio belongs, and determine the sum of the numerical value of the third parameter determined in the previous sampling period and the second weight coefficient as the numerical value of the third parameter in the current sampling period, wherein the sum of the initial value of the third parameter and the second weight coefficient is determined as the numerical value of the third parameter in the first sampling period.

5. The vehicle battery thermal management strategy adaptive adjustment method according to claim 4, characterized in that: The first deviation ratio of the current current relative to the maximum rated discharge current is calculated based on the current current, the maximum rated discharge current, and the maximum peak discharge current. The corresponding formula is: Wherein, m is the first deviation ratio of the current current relative to the maximum rated discharge current, I is the current current, I1 is the maximum peak discharge current, I2 is the maximum rated discharge current, and a is the first coefficient; The second deviation ratio of the current current relative to the maximum rated charging current is calculated based on the current current, the maximum rated charging current, and the maximum peak charging current, and the corresponding formula is: Among them, n is the second deviation ratio of the current current relative to the maximum rated charging current, I is the current current, I4 is the maximum peak charging current, I3 is the maximum rated charging current, and b is the second coefficient.

6. The vehicle battery thermal management strategy adaptive adjustment method according to claim 1, characterized in that: The step of adjusting the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval includes: When the target value interval is the first interval, subtracting the first calibration parameter from the current battery thermal management strategy threshold; When the target value interval is the second interval, the current battery thermal management strategy threshold is maintained unchanged; When the target value interval is the third interval, the current battery thermal management strategy threshold is added to the second calibration parameter; The upper limit value of the first interval is smaller than the lower limit value of the second interval, and the upper limit value of the second interval is smaller than the lower limit value of the third interval.

7. A vehicle battery thermal management strategy adaptive adjustment device, characterized in that: The vehicle battery thermal management strategy adaptive adjustment device comprises: An acquisition module, used for acquiring a value of a first parameter when the vehicle is powered on and the energy-saving mode is turned on, wherein the first parameter is used to characterize the degree of demand of the vehicle for the battery charging and discharging power performance; A first determination module, used to determine a target value interval to which a value of a first parameter belongs; An adjustment module, used to adjust the current battery thermal management strategy threshold according to the battery thermal management strategy threshold adjustment method corresponding to the target value interval; The execution module is used to execute the battery thermal management strategy based on the adjusted battery thermal management strategy threshold.

8. The vehicle battery thermal management strategy adaptive adjustment device according to claim 7, characterized in that: The vehicle battery thermal management strategy adaptive adjustment device further includes a second determination module, which is specifically used to: determining a target value of a second parameter, where the second parameter is used to characterize the cumulative number of times that the current current of the battery exceeds the maximum rated current in all sampling cycles; Determining a target value of a third parameter, wherein the third parameter is used to characterize a cumulative weight of a current current of the battery approaching a peak current in all sampling cycles; The target value of the third parameter is divided by the target value of the second parameter to obtain a quotient, which is used as the value of the first parameter and stored in the vehicle controller.

9. A vehicle battery thermal management strategy adaptive adjustment device, characterized in that: The vehicle battery thermal management strategy adaptive adjustment device includes a processor, a memory, and a vehicle battery thermal management strategy adaptive adjustment program stored in the memory and executable by the processor, wherein when the vehicle battery thermal management strategy adaptive adjustment program is executed by the processor, the steps of the vehicle battery thermal management strategy adaptive adjustment method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a vehicle battery thermal management strategy adaptive adjustment program, wherein when the vehicle battery thermal management strategy adaptive adjustment program is executed by a processor, the steps of the vehicle battery thermal management strategy adaptive adjustment method as described in any one of claims 1 to 6 are implemented.

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