Heating energy consumption adjusting method and device, equipment and storage medium

Abstract

The invention discloses a heating energy consumption adjusting method and device, equipment and a storage medium, and the method comprises the steps: obtaining continuous multiple historical stroke data and current stroke data, and the historical stroke data is the stroke data of a sleep wake-up cycle; calculating a thermal management power limiting amplitude, a weighted temperature coverage coefficient and a battery heating coverage rate according to the multiple historical travel data and the current travel data, and obtaining a first initial threshold value and a second initial threshold value of thermal management; and then calculating a dynamic heating coefficient and a power limit value according to the current stroke data, the thermal management power amplitude limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold value and the second initial threshold value, and then adjusting the heating energy consumption according to the dynamic heating coefficient and the power limit value. By dynamically adjusting the dynamic heating coefficient and the power limit value, the energy consumption of the whole vehicle at low temperature can be effectively reduced on the basis of ensuring the performance.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle control, and in particular to a method, device, equipment and storage medium for regulating heating energy consumption. Background Art

[0002] As the main power source for new energy vehicles, the importance of batteries is self-evident. With the complex and changing operating conditions, battery thermal management will face huge challenges. How to find a balance between energy consumption, performance and safety has become an unavoidable topic in the design of thermal management control coefficients.

[0003] The current mainstream thermal management control strategy is to use thermal management loops to design different thresholds to introduce heat generated by active heating (PTC (Positive Temperature Coefficient) or heat pump) or passive waste heat (motor heat generation) into the battery at low temperatures. By controlling the battery temperature, the battery life can be extended, the battery performance can be improved, and the probability of thermal runaway can be reduced. Among them, the design of the threshold requires the OEM to conduct experimental analysis at different temperatures. However, since the current battery heating threshold is a fixed threshold derived from comprehensive data under low-temperature experiments, it does not match the actual driving habits of customers, causing customers to use the vehicle in short-distance conditions without extreme low temperatures. The journey ends when the vehicle has just started the heating system and has not yet heated to the target threshold. At the end, the energy consumed by the battery temperature being higher than the ambient temperature (i.e., heating energy consumption) is not effectively utilized and is wasted.

[0004] Therefore, how to avoid wasting the heating energy of the vehicle is a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] Based on the above problems, the present application provides a method, device, equipment and storage medium for adjusting heating energy consumption to avoid wasting heating energy consumption of the vehicle.

[0006] To solve the above problems, the technical solutions provided in the embodiments of the present application are as follows:

[0007] A method for regulating heating energy consumption, the method comprising:

[0008] Obtain multiple consecutive historical travel data and current travel data, where the historical travel data is the travel data of the sleep-wake cycle;

[0009] Calculating a thermal management power limit, a weighted temperature coverage factor, and a battery heating coverage rate according to the multiple historical trip data and the current trip data;

[0010] Acquire a first initial threshold value and a second initial threshold value of thermal management;

[0011] Calculating a dynamic heating coefficient and a power limit value according to the current trip data, the thermal management power limit, the weighted temperature coverage factor, the battery heating coverage rate, the first initial threshold, and the second initial threshold;

[0012] The heating energy consumption is adjusted according to the dynamic heating coefficient and the power limit.

[0013] In a possible implementation, the calculating the thermal management power limit, the weighted temperature coverage factor, and the battery heating coverage rate according to the multiple historical trip data and the current trip data includes:

[0014] Calculating the thermal management power limit according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data;

[0015] Calculating the weighted temperature coverage factor according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data;

[0016] The battery heating coverage rate is calculated according to the current ambient temperature average value in the current travel data, the current battery temperature and the target heating temperature.

[0017] In a possible implementation, the thermal management power limit is calculated according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data, including:

[0018] The power coefficient calculation formula is used to calculate the power coefficient of each historical trip data according to the energy consumption of the thermal management system, the driving time and the acceleration throttle ratio, wherein the power coefficient calculation formula is: E N is the power coefficient of the Nth historical trip data; E 热管理-N The energy consumption of the thermal management system for the Nth historical travel data; t N is the travel time of the Nth historical travel data; C N is the acceleration high throttle ratio of the Nth historical travel data;

[0019] The speed weight coefficient calculation formula is used to calculate the speed weight coefficient of each historical travel data according to the average speed, wherein the speed weight coefficient calculation formula is: VF N V is the vehicle speed weight coefficient of the Nth historical travel data; N V is the average vehicle speed of the Nth historical travel data; N+i is the average vehicle speed of the N+i-th historical travel data; i is a positive integer;

[0020] The distance weight coefficient calculation formula is used to calculate the distance weight coefficient of each historical trip data according to the driving distance, wherein the distance weight coefficient calculation formula is: DF N is the distance weight coefficient of the Nth historical travel data; D N D is the driving distance of the Nth historical travel data; N+i The driving distance of the N+i-th historical travel data;

[0021] The average power calculation formula is used to calculate the average power of each historical trip data according to the power coefficient, the vehicle speed weight coefficient and the distance weight coefficient, wherein the average power calculation formula is: EF N is the average power of the Nth historical trip data;

[0022] The thermal management power limit is obtained by configuring a first target weight corresponding to the average power of each historical trip data and adding and summing the weights.

[0023] In a possible implementation, calculating the weighted temperature coverage factor according to the average of the ambient temperature and the battery temperature change in the multiple historical travel data includes:

[0024] The temperature coverage coefficient calculation formula is used to calculate the temperature coverage coefficient of each historical trip data according to the ambient temperature average and the battery temperature change, wherein the temperature coverage coefficient calculation formula is: TF N is the power coefficient of the Nth historical trip data; T 环境-N is the mean value of the ambient temperature of the Nth historical travel data; △T N The battery temperature change of the Nth historical travel data;

[0025] A corresponding second target weight is configured for the temperature coverage coefficient of each historical travel data, and the weighted temperature coverage coefficient is obtained by adding and summing the weighted temperature coverage coefficient.

[0026] In a possible implementation, the calculation formula of the battery heating coverage rate includes:

[0027]

[0028] Among them, TF now is the battery heating coverage; T 环境 is the current ambient temperature average; T 电池 is the current temperature of the battery; T 加热 The target heating temperature.

[0029] In a possible implementation, the calculation formula of the dynamic heating coefficient includes:

[0030]

[0031] Among them, T 加热更新值 is the dynamic heating coefficient; T 初始 is the first initial threshold; TF now The battery heating coverage; C now F is the current proportion of large throttle acceleration; HST is the weighted temperature coverage factor; T 预报 Weather forecast for the current destination. 环境 is the current ambient temperature average.

[0032] In a possible implementation manner, the calculation formula of the power limit includes:

[0033]

[0034] Among them, P 功率限幅值 is the power limit; P 初始 is the second initial threshold; C now P is the current proportion of large throttle acceleration; HST is the weighted temperature coverage factor.

[0035] A device for regulating heating energy consumption, the device comprising:

[0036] A first acquisition unit is used to acquire multiple consecutive historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep-wake cycle;

[0037] A first calculation unit, configured to calculate a thermal management power limit, a weighted temperature coverage factor, and a battery heating coverage rate according to the multiple historical travel data and the current travel data;

[0038] A second acquisition unit, used to acquire a first initial threshold and a second initial threshold of thermal management;

[0039] a second calculation unit, configured to calculate a dynamic heating coefficient and a power limit value according to the current trip data, the thermal management power limit, the weighted temperature coverage factor, the battery heating coverage rate, the first initial threshold, and the second initial threshold;

[0040] The regulating unit regulates the heating energy consumption according to the dynamic heating coefficient and the power limit.

[0041] A device for regulating heating energy consumption, the device comprising a memory and a processor, the memory being used to store programs or codes, and the processor being used to run the programs or codes stored in the memory to implement the method for regulating heating energy consumption as described above.

[0042] A computer-readable storage medium stores codes. When the codes are executed, a device executing the codes implements the method for regulating heating energy consumption as described above.

[0043] Compared with the prior art, this application has the following beneficial effects:

[0044] The present application discloses a method, device, equipment and storage medium for adjusting heating energy consumption. Specifically, when executing the method for adjusting heating energy consumption provided in the embodiment of the present application, first obtain multiple continuous historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep wake-up cycle. Then, the thermal management power limit, weighted temperature coverage coefficient and battery heating coverage rate are calculated based on multiple historical travel data and current travel data, and the first initial threshold and second initial threshold of thermal management are obtained. Then, the dynamic heating coefficient and power limit are calculated based on the current travel data, the thermal management power limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold and the second initial threshold. Finally, the heating energy consumption is adjusted according to the dynamic heating coefficient and the power limit. The present application can effectively reduce the energy consumption of the whole vehicle at low temperatures while ensuring performance by dynamically adjusting the dynamic heating coefficient and the power limit. In addition, by obtaining multiple continuous historical travel data, the current travel data and thermal management situation can be analyzed more accurately, and targeted adjustments can be made. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flow chart of a method for adjusting heating energy consumption provided in an embodiment of the present application;

[0046] Figure 2 A schematic diagram of the structure of a heating energy consumption regulating device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] 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.

[0048] To facilitate understanding of the technical solutions provided by the embodiments of the present application, the background technology involved in the embodiments of the present application will be described below.

[0049] As the main power source for new energy vehicles, the importance of batteries is self-evident. With the complex and changing operating conditions, battery thermal management will face huge challenges. How to find a balance between energy consumption, performance and safety has become an unavoidable topic in the design of thermal management control coefficients.

[0050] The current mainstream thermal management control strategy is to use thermal management loops to design different thresholds to introduce heat generated by active heating (PTC (Positive Temperature Coefficient) or heat pump) or passive waste heat (motor heat generation) into the battery at low temperatures. By controlling the battery temperature, the battery life can be extended, the battery performance can be improved, and the probability of thermal runaway can be reduced. Among them, the design of the threshold requires the OEM to conduct experimental analysis at different temperatures. However, since the current battery heating threshold is a fixed threshold derived from comprehensive data under low-temperature experiments, it does not match the actual driving habits of customers, causing customers to use the vehicle in short-distance conditions without extreme low temperatures. The journey ends when the vehicle has just started the heating system and has not yet heated to the target threshold. At the end, the energy consumed by the battery temperature being higher than the ambient temperature (i.e., heating energy consumption) is not effectively utilized and is wasted.

[0051] Among them, the positive temperature coefficient PTC is also called a positive temperature thermistor. When the temperature of the PTC material increases, its resistance value also increases, showing a positive correlation. PTC has a special material structure, generally composed of polymers and fillers. At low temperatures, the filler is in a conductive state, resulting in a low resistance of the PTC. However, as the temperature rises, the properties of the filler will change, causing the resistance value to rise rapidly. This characteristic makes PTC widely used in automatic temperature control, overcurrent protection and other aspects.

[0052] In order to solve this problem, an embodiment of the present application provides a method, device, equipment and storage medium for adjusting heating energy consumption. In the present application, the travel data of multiple consecutive sleep-wake-up cycles (i.e., historical travel data) and current travel data are first obtained. Then, the thermal management power limit, weighted temperature coverage coefficient and battery heating coverage rate are calculated based on multiple historical travel data and current travel data, and the first initial threshold and the second initial threshold of thermal management are obtained. The dynamic heating coefficient and power limit are calculated based on the current travel data, the thermal management power limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold and the second initial threshold, and then the heating energy consumption is adjusted according to the dynamic heating coefficient and the power limit. By dynamically adjusting the dynamic heating coefficient and the power limit, the present application can effectively reduce the energy consumption of the whole vehicle at low temperatures while ensuring performance. In addition, by obtaining multiple consecutive historical travel data, the current travel data and thermal management situation can be more accurately analyzed, and targeted adjustments can be made.

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0054] See also Figure 1 , which is a flow chart of a method for adjusting heating energy consumption provided in an embodiment of the present application, such as Figure 1 As shown, the method for adjusting the heating energy consumption may include steps S101-S105:

[0055] S101: Acquire multiple consecutive historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep-wake cycle.

[0056] In order to achieve dynamic regulation of heating energy consumption, the heating energy consumption regulation system first needs to obtain travel data of multiple consecutive sleep-wake cycles (ie) historical travel data and current travel data.

[0057] Among them, the vehicle's sleep-wake cycle refers to the process in which the car enters sleep (or standby) mode under certain conditions to save energy, and is awakened and resumes normal operation after receiving a trigger signal.

[0058] In traditional fuel vehicles, standby mode usually means that the engine is turned off when the vehicle is parked, and all vehicle systems enter a low-power state. At this time, only a few necessary systems remain running, such as security systems and anti-theft systems. Once a specific trigger signal is detected (such as pressing the unlock button on the remote control), the vehicle will be awakened and each system will restart to respond to user operations or perform specific tasks.

[0059] In an electric vehicle (EV) or hybrid electric vehicle (HEV), the sleep-wake cycle is more complex. When an electric vehicle is parked and not in operation, it may take the following actions to enter sleep mode to save power:

[0060] (1) Turn off high-power consumption devices: Electric vehicles will turn off some high-power consumption devices in standby mode, such as air conditioning systems, entertainment systems, etc., to reduce energy consumption.

[0061] (2) Running low-power tasks: In sleep mode, electric vehicles may keep some low-power tasks running, such as monitoring vehicle status, receiving remote commands, and performing safety monitoring.

[0062] In a possible implementation, the multiple historical travel data refers to the most recent continuous multiple historical travel data, wherein the historical travel data includes thermal management system energy consumption, driving time, acceleration throttle ratio, average vehicle speed, driving distance, ambient temperature average, and battery temperature change.

[0063] In one possible implementation, the current trip data includes the current average ambient temperature, the current battery temperature, the target heating temperature, the current acceleration throttle ratio, and the estimated temperature of the current destination weather forecast.

[0064] S102: Calculating a thermal management power limit, a weighted temperature coverage factor, and a battery heating coverage rate according to the multiple historical travel data and the current travel data.

[0065] After obtaining multiple consecutive historical travel data and current travel data, the heating energy consumption adjustment system can calculate the thermal management power limit, weighted temperature coverage factor and battery heating coverage rate based on the multiple historical travel data and current travel data.

[0066] In a possible implementation, the calculating of the thermal management power limit, the weighted temperature coverage factor, and the battery heating coverage rate according to the multiple historical trip data and the current trip data includes A1-A3:

[0067] A1: Calculate the thermal management power limit according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data.

[0068] In order to calculate the thermal management power limit, weighted temperature coverage coefficient and battery heating coverage rate based on multiple historical trip data and current trip data, the heating energy consumption adjustment system needs to calculate the thermal management power limit based on the thermal management system energy consumption, driving time, acceleration throttle ratio, average vehicle speed and driving distance in multiple historical trip data.

[0069] In a possible implementation, the thermal management power limit is calculated according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data, including B1-B5:

[0070] B1: Calculate the power coefficient of each historical trip data using the power coefficient calculation formula according to the energy consumption of the thermal management system, the driving time, and the acceleration throttle ratio, wherein the power coefficient calculation formula is: E N is the power coefficient of the Nth historical trip data; E 热管理-N The energy consumption of the thermal management system for the Nth historical travel data; t N is the travel time of the Nth historical travel data; C N It is the acceleration heavy throttle ratio of the Nth historical travel data.

[0071] In order to calculate the thermal management power limit based on the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in multiple historical trip data, the heating energy consumption adjustment system first needs to use the power coefficient calculation formula to calculate the power coefficient of each historical trip data based on the thermal management system energy consumption, driving time and acceleration large throttle ratio.

[0072] The power coefficient calculation formula is: E N is the power coefficient of the Nth historical trip data; E 热管理-N The energy consumption of the thermal management system for the Nth historical travel data; t N is the travel time of the Nth historical trip data; C N is the proportion of high throttle acceleration in the Nth historical travel data. The proportion of high throttle acceleration refers to the proportion of the throttle opening time greater than 70% during acceleration.

[0073] B2: Calculate the speed weight coefficient of each historical trip data according to the average speed using the speed weight coefficient calculation formula, where the speed weight coefficient calculation formula is: VF N V is the vehicle speed weight coefficient of the Nth historical travel data; N V is the average vehicle speed of the Nth historical travel data; N+i is the average vehicle speed of the N+i-th historical travel data; i is a positive integer.

[0074] After using the power coefficient calculation formula to calculate the power coefficient of each historical trip data according to the energy consumption of the thermal management system, driving time and the acceleration large throttle proportion, the heating energy consumption adjustment system also needs to use the vehicle speed weight coefficient calculation formula to calculate the vehicle speed weight coefficient of each historical trip data according to the average vehicle speed.

[0075] The speed weight coefficient calculation formula is: VF N V is the vehicle speed weight coefficient of the Nth historical travel data; N is the average speed of the Nth historical travel data; V N+i is the average vehicle speed of the N+i-th historical travel data; i is a positive integer.

[0076] B3: Calculate the distance weight coefficient of each historical trip data according to the driving distance using the distance weight coefficient calculation formula, where the distance weight coefficient calculation formula is: DF N is the distance weight coefficient of the Nth historical travel data; D N D is the driving distance of the Nth historical travel data; N+i is the driving distance of the N+i-th historical travel data.

[0077] After calculating the vehicle speed weight coefficient of each historical trip data according to the average vehicle speed using the vehicle speed weight coefficient calculation formula, the heating energy consumption adjustment system also needs to calculate the distance weight coefficient of each historical trip data according to the driving distance using the distance weight coefficient calculation formula.

[0078] The distance weight coefficient calculation formula is: DF N is the distance weight coefficient of the Nth historical travel data; D N D is the driving distance of the Nth historical trip data; N+i is the driving distance of the N+i-th historical travel data.

[0079] B4: Calculate the average power of each historical trip data using the average power calculation formula according to the power coefficient, the vehicle speed weight coefficient and the distance weight coefficient, wherein the average power calculation formula is: EFN is the average power of the Nth historical travel data.

[0080] After using the distance weight coefficient calculation formula to calculate the distance weight coefficient of each historical trip data according to the driving distance, the heating energy consumption adjustment system can use the average power calculation formula to calculate the average power of each historical trip data according to the rate coefficient, vehicle speed weight coefficient and distance weight coefficient.

[0081] The average power calculation formula is: EF N is the average power of the Nth historical trip data.

[0082] B5: configuring a first target weight corresponding to the average power of each historical trip data and adding and summing the two to obtain the thermal management power limit.

[0083] After obtaining the average power of each historical trip data, the heating energy consumption regulation system can configure a corresponding first target weight for the average power of each historical trip data and add and sum them to obtain the thermal management power limit.

[0084] In a possible implementation, the first target weight of each historical travel data is not necessarily the same. The present application does not impose any specific restrictions on the first target weight, and the first target weight can be adjusted according to actual needs.

[0085] For example, when S101 obtains five consecutive historical trip data, the thermal management power limit at this time

[0086] By calculating the thermal management power limit based on multiple historical trip data, a more accurate, energy-efficient and adjustable thermal management system can be achieved. This helps extend battery life and improve overall vehicle performance.

[0087] A2: Calculate the weighted temperature coverage factor according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data.

[0088] The heating energy consumption regulation system can calculate the weighted temperature coverage factor based on the average ambient temperature and battery temperature changes in multiple historical travel data.

[0089] In a possible implementation, the weighted temperature coverage factor is calculated according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data, including C1-C2:

[0090] C1: Calculate the temperature coverage coefficient of each historical trip data according to the ambient temperature average and battery temperature change using the temperature coverage coefficient calculation formula, where the temperature coverage coefficient calculation formula is: TF N is the power coefficient of the Nth historical trip data; T 环境-N is the mean value of the ambient temperature of the Nth historical travel data; △T N is the battery temperature change of the Nth historical travel data.

[0091] In order to calculate the weighted temperature coverage coefficient based on the average ambient temperature and battery temperature changes in multiple historical trip data, the heating energy consumption regulation system first needs to use the temperature coverage coefficient calculation formula to calculate the temperature coverage coefficient of each historical trip data based on the average ambient temperature and battery temperature changes.

[0092] The temperature coverage factor calculation formula is: TF N is the power coefficient of the Nth historical trip data; T 环境-N is the average ambient temperature of the Nth historical travel data; △T N is the battery temperature change of the Nth historical travel data.

[0093] C2: configuring a corresponding second target weight for the temperature coverage coefficient of each historical travel data and adding and summing them to obtain the weighted temperature coverage coefficient.

[0094] After calculating the temperature coverage coefficient of each historical trip data, the heating energy consumption regulation system can configure the corresponding second target weight for the temperature coverage coefficient of each historical trip data and add and sum them to obtain the weighted temperature coverage coefficient.

[0095] In a possible implementation, the second target weight of each historical travel data is not necessarily the same. The present application does not impose any specific restrictions on the second target weight, and the second target weight can be adjusted according to actual needs.

[0096] For example, when five consecutive historical trip data are obtained in S101, the weighted temperature coverage factor at this time is

[0097] The temperature coverage factor calculation formula and weighted temperature coverage factor can be used to more comprehensively and accurately evaluate and consider the impact of ambient temperature and battery temperature on vehicle performance.

[0098] A3: Calculate the battery heating coverage rate according to the current ambient temperature average, the current battery temperature and the target heating temperature in the current travel data.

[0099] The heating energy consumption regulation system can calculate the battery heating coverage rate based on the current ambient temperature average, the current battery temperature and the target heating temperature in the current trip data.

[0100] In a possible implementation, the current ambient temperature average refers to an average value of the weather temperature monitored by the vehicle and the weather forecast temperature. The weather temperature monitored by the vehicle may be measured by a temperature sensor of the vehicle.

[0101] In a possible implementation, the calculation formula of the battery heating coverage rate includes:

[0102]

[0103] Among them, TF now is the battery heating coverage; T 环境 is the current ambient temperature average; T 电池 is the current temperature of the battery; T 加热 The target heating temperature is set.

[0104] Combining the analysis of historical data and real-time data, more accurate and intelligent heating energy consumption regulation is achieved by calculating thermal management power limit, weighted temperature coverage factor and battery heating coverage rate. At the same time, it can improve system performance and efficiency, reduce energy and resource consumption, and extend battery life.

[0105] S103: Acquire a first initial threshold and a second initial threshold for thermal management.

[0106] After calculating the thermal management power limit, weighted temperature coverage factor and battery heating coverage rate based on multiple historical travel data and current travel data, the heating energy consumption regulation system also needs to obtain the first initial threshold and the second initial threshold of thermal management.

[0107] In a possible implementation, the first initial threshold is a heating temperature threshold, which is generally set to 0-5 degrees C. The present application does not impose any specific restrictions on the value range of the first initial threshold, and the value range of the first initial threshold can be adjusted according to actual needs.

[0108] The second initial threshold is a heating power threshold, which is generally set to 6 kilowatts. The present application does not impose any specific restrictions on the value of the second initial threshold, and the value of the second initial threshold can be adjusted according to actual needs.

[0109] S104: Calculate a dynamic heating coefficient and a power limit value according to the current travel data, the thermal management power limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold, and the second initial threshold.

[0110] In a possible implementation, the calculation formula of the dynamic heating coefficient includes:

[0111]

[0112] Among them, T 加热更新值 is the dynamic heating coefficient; T 初始 is the first initial threshold; TF now The battery heating coverage; C now F is the current proportion of large throttle acceleration; HST is the weighted temperature coverage factor; T 预报 Weather forecast for the current destination. 环境 is the current ambient temperature average.

[0113] C now The current acceleration high throttle ratio refers to the high throttle ratio during acceleration while driving, which is the ratio of the throttle opening time greater than 70% during acceleration.

[0114] In a possible implementation manner, the calculation formula of the power limit includes:

[0115]

[0116] Among them, P 功率限幅值 is the power limit; P 初始 is the second initial threshold; C now is the current acceleration throttle ratio; PHST is the weighted temperature coverage coefficient.

[0117] S105: Adjusting heating energy consumption according to the dynamic heating coefficient and the power limit.

[0118] Based on the calculated dynamic heating coefficient and power limit, the heating energy consumption can be controlled according to the preset regulation strategy. For example, if the dynamic heating coefficient is large and the power limit is high, the heating energy consumption can be increased to reach the target temperature faster. Conversely, if the dynamic heating coefficient is small or the power limit is low, the heating energy consumption can be reduced to save energy or avoid overheating.

[0119] Based on the contents of S101-S105, it can be known that after obtaining the travel data of multiple consecutive sleep-wake-up cycles (i.e., historical travel data) and the current travel data, the thermal management power limit, weighted temperature coverage coefficient, and battery heating coverage rate are calculated based on the multiple historical travel data and the current travel data. Then the first initial threshold and the second initial threshold of thermal management are obtained, and the dynamic heating coefficient and the power limit are calculated based on the current travel data, the thermal management power limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold, and the second initial threshold. Finally, the heating energy consumption is adjusted according to the dynamic heating coefficient and the power limit. The present application can effectively reduce the energy consumption of the entire vehicle at low temperatures while ensuring performance by dynamically adjusting the dynamic heating coefficient and the power limit. In addition, by obtaining multiple consecutive historical travel data, the current travel data and thermal management situation can be more accurately analyzed, and targeted adjustments can be made.

[0120] See also Figure 2 , which is a schematic diagram of the structure of a heating energy consumption adjustment device provided in an embodiment of the present application. Figure 2 As shown, the heating energy consumption regulating device comprises:

[0121] The first acquisition unit 201 is used to acquire multiple consecutive historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep-wake cycle.

[0122] Among them, the vehicle's sleep-wake cycle refers to the process in which the car enters sleep (or standby) mode under certain conditions to save energy, and is awakened and resumes normal operation after receiving a trigger signal.

[0123] In traditional fuel vehicles, standby mode usually means that the engine is turned off when the vehicle is parked, and all vehicle systems enter a low-power state. At this time, only a few necessary systems remain running, such as security systems and anti-theft systems. Once a specific trigger signal is detected (such as pressing the unlock button on the remote control), the vehicle will be awakened and each system will restart to respond to user operations or perform specific tasks.

[0124] In an electric vehicle (EV) or hybrid electric vehicle (HEV), the sleep-wake cycle is more complex. When an electric vehicle is parked and not in operation, it may take the following actions to enter sleep mode to save power:

[0125] (1) Turn off high-power consumption devices: Electric vehicles will turn off some high-power consumption devices in standby mode, such as air conditioning systems, entertainment systems, etc., to reduce energy consumption.

[0126] (2) Running low-power tasks: In sleep mode, electric vehicles may keep some low-power tasks running, such as monitoring vehicle status, receiving remote commands, and performing safety monitoring.

[0127] In a possible implementation, the multiple historical travel data refers to the most recent continuous multiple historical travel data, wherein the historical travel data includes thermal management system energy consumption, driving time, acceleration throttle ratio, average vehicle speed, driving distance, ambient temperature average, and battery temperature change.

[0128] In one possible implementation, the current trip data includes the current average ambient temperature, the current battery temperature, the target heating temperature, the current acceleration throttle ratio, and the estimated temperature of the current destination weather forecast.

[0129] The first calculation unit 202 is used to calculate the thermal management power limit, the weighted temperature coverage factor and the battery heating coverage rate according to the multiple historical travel data and the current travel data.

[0130] The second acquisition unit 203 is used to acquire a first initial threshold and a second initial threshold for thermal management.

[0131] In a possible implementation, the first initial threshold is a heating temperature threshold, which is generally set to 0-5 degrees C. The present application does not impose any specific restrictions on the value range of the first initial threshold, and the value range of the first initial threshold can be adjusted according to actual needs.

[0132] The second initial threshold is a heating power threshold, which is generally set to 6 kilowatts. The present application does not impose any specific restrictions on the value of the second initial threshold, and the value of the second initial threshold can be adjusted according to actual needs.

[0133] The second calculation unit 204 is configured to calculate a dynamic heating coefficient and a power limit value according to the current travel data, the thermal management power limit, the weighted temperature coverage factor, the battery heating coverage rate, the first initial threshold, and the second initial threshold.

[0134] In a possible implementation, the calculation formula of the dynamic heating coefficient includes:

[0135]

[0136] Among them, T 加热更新值 is the dynamic heating coefficient; T 初始 is the first initial threshold; TF now The battery heating coverage rate; C now F is the current proportion of large throttle acceleration; HST is the weighted temperature coverage factor; T 预报Weather forecast for the current destination. 环境 is the current ambient temperature average.

[0137] C now The current acceleration high throttle ratio refers to the high throttle ratio during acceleration while driving, which is the ratio of the throttle opening time greater than 70% during acceleration.

[0138] In a possible implementation manner, the calculation formula of the power limit includes:

[0139]

[0140] Among them, P 功率限幅值 is the power limit; P 初始 is the second initial threshold; C now is the current acceleration throttle ratio; PHST is the weighted temperature coverage coefficient.

[0141] The regulating unit 205 regulates the heating energy consumption according to the dynamic heating coefficient and the power limit.

[0142] In a possible implementation manner, the device further includes:

[0143] The third calculation unit is used to calculate the thermal management power limit according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data.

[0144] The fourth calculation unit is used to calculate the weighted temperature coverage coefficient according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data.

[0145] The fifth calculation unit is used to calculate the battery heating coverage rate according to the current ambient temperature average value, the current battery temperature and the target heating temperature in the current travel data.

[0146] In a possible implementation, the calculation formula of the battery heating coverage rate includes:

[0147]

[0148] Among them, TF now is the battery heating coverage; T 环境 is the current ambient temperature average; T 电池 is the current temperature of the battery; T 加热 The target heating temperature.

[0149] In a possible implementation manner, the device further includes:

[0150] The sixth calculation unit is used to calculate the power coefficient of each historical trip data according to the energy consumption of the thermal management system, the driving time and the acceleration throttle ratio by using the power coefficient calculation formula, wherein the power coefficient calculation formula is: E N is the power coefficient of the Nth historical trip data; E 热管理-N The energy consumption of the thermal management system for the Nth historical travel data; t N is the travel time of the Nth historical travel data; C N It is the acceleration heavy throttle ratio of the Nth historical travel data.

[0151] The seventh calculation unit is used to calculate the speed weight coefficient of each historical travel data according to the average speed by using the speed weight coefficient calculation formula, wherein the speed weight coefficient calculation formula is: VF N V is the vehicle speed weight coefficient of the Nth historical travel data; N V is the average vehicle speed of the Nth historical travel data; N+i is the average vehicle speed of the N+i-th historical travel data; i is a positive integer.

[0152] An eighth calculation unit is used to calculate the distance weight coefficient of each historical trip data according to the driving distance using a distance weight coefficient calculation formula, wherein the distance weight coefficient calculation formula is: DF N is the distance weight coefficient of the Nth historical travel data; D N D is the driving distance of the Nth historical travel data; N+i is the driving distance of the N+i-th historical travel data.

[0153] The ninth calculation unit is used to calculate the average power of each historical trip data according to the power coefficient, the vehicle speed weight coefficient and the distance weight coefficient using an average power calculation formula, wherein the average power calculation formula is: EF N is the average power of the Nth historical travel data.

[0154] The first configuration unit is used to configure a first target weight corresponding to the average power of each historical travel data and add and sum them to obtain the thermal management power limit.

[0155] In a possible implementation manner, the device further includes:

[0156] The tenth calculation unit is used to calculate the temperature coverage coefficient of each historical trip data according to the ambient temperature average and the battery temperature change using the temperature coverage coefficient calculation formula, wherein the temperature coverage coefficient calculation formula is: TF N is the power coefficient of the Nth historical trip data; T 环境-N is the mean value of the ambient temperature of the Nth historical travel data; △T N is the battery temperature change of the Nth historical travel data.

[0157] The second configuration unit is used to configure a corresponding second target weight for the temperature coverage coefficient of each historical travel data and add and sum them to obtain the weighted temperature coverage coefficient.

[0158] In addition, an embodiment of the present application also provides a device for regulating heating energy consumption, which includes a memory and a processor, the memory is used to store programs or codes, and the processor is used to run the programs or codes stored in the memory to implement the above-mentioned method for regulating heating energy consumption.

[0159] In addition, an embodiment of the present application further provides a computer-readable storage medium, characterized in that a code is stored in the computer-readable storage medium, and when the code is executed, the device executing the code implements the above-mentioned method for adjusting heating energy consumption.

[0160] The embodiment of the present application provides a device for adjusting heating energy consumption. First, a first acquisition unit can be used to acquire continuous multiple historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep wake-up cycle. Then, the first calculation unit 202 calculates the thermal management power limit, the weighted temperature coverage coefficient, and the battery heating coverage rate according to the multiple historical travel data and the current travel data. The second acquisition unit 203 is used to obtain the first initial threshold and the second initial threshold of thermal management. Then, the second calculation unit 204 is used to calculate the dynamic heating coefficient and the power limit according to the current travel data, the thermal management power limit, the weighted temperature coverage coefficient, the battery heating coverage rate, the first initial threshold and the second initial threshold. Finally, the adjustment unit 205 adjusts the heating energy consumption according to the dynamic heating coefficient and the power limit. The present application can effectively reduce the energy consumption of the whole vehicle at low temperature while ensuring performance by dynamically adjusting the dynamic heating coefficient and the power limit. In addition, by acquiring continuous multiple historical travel data, the current travel data and thermal management situation can be analyzed more accurately, and targeted adjustments can be made.

[0161] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0162] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0163] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0164] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for regulating heating energy consumption, characterized in that: The method comprises: Obtain multiple consecutive historical travel data and current travel data, where the historical travel data is the travel data of the sleep-wake cycle; Calculating a thermal management power limit, a weighted temperature coverage factor, and a battery heating coverage rate according to the multiple historical trip data and the current trip data; Acquire a first initial threshold value and a second initial threshold value of thermal management; Calculating a dynamic heating coefficient and a power limit value according to the current trip data, the thermal management power limit, the weighted temperature coverage factor, the battery heating coverage rate, the first initial threshold, and the second initial threshold; The heating energy consumption is adjusted according to the dynamic heating coefficient and the power limit.

2. The method according to claim 1, characterized in that The calculating the thermal management power limit, the weighted temperature coverage factor and the battery heating coverage rate according to the multiple historical travel data and the current travel data includes: Calculating the thermal management power limit according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data; Calculating the weighted temperature coverage factor according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data; The battery heating coverage rate is calculated according to the current ambient temperature average value in the current travel data, the current battery temperature and the target heating temperature.

3. The method according to claim 2, characterized in that The calculating of the thermal management power limit according to the thermal management system energy consumption, driving time, acceleration large throttle ratio, average vehicle speed and driving distance in the multiple historical travel data includes: The power coefficient calculation formula is used to calculate the power coefficient of each historical trip data according to the energy consumption of the thermal management system, the driving time and the acceleration throttle ratio, wherein the power coefficient calculation formula is: E N is the power coefficient of the Nth historical trip data; E 热管理-N The energy consumption of the thermal management system for the Nth historical travel data; t N is the travel time of the Nth historical travel data; C N is the acceleration high throttle ratio of the Nth historical travel data; The speed weight coefficient calculation formula is used to calculate the speed weight coefficient of each historical travel data according to the average speed, wherein the speed weight coefficient calculation formula is: VF N V is the vehicle speed weight coefficient of the Nth historical travel data; N V is the average vehicle speed of the Nth historical travel data; N+i is the average vehicle speed of the N+i-th historical travel data; i is a positive integer; The distance weight coefficient calculation formula is used to calculate the distance weight coefficient of each historical trip data according to the driving distance, wherein the distance weight coefficient calculation formula is: DF N is the distance weight coefficient of the Nth historical travel data; D N D is the driving distance of the Nth historical travel data; N+i The driving distance of the N+i-th historical travel data; The average power calculation formula is used to calculate the average power of each historical trip data according to the power coefficient, the vehicle speed weight coefficient and the distance weight coefficient, wherein the average power calculation formula is: EF N is the average power of the Nth historical trip data; The thermal management power limit is obtained by configuring a first target weight corresponding to the average power of each historical trip data and adding and summing the weights.

4. The method according to claim 2, characterized in that: The calculating the weighted temperature coverage coefficient according to the average value of the ambient temperature and the battery temperature change in the multiple historical travel data includes: The temperature coverage coefficient calculation formula is used to calculate the temperature coverage coefficient of each historical trip data according to the ambient temperature average and the battery temperature change, wherein the temperature coverage coefficient calculation formula is: TF N is the power coefficient of the Nth historical trip data; T 环境-N is the mean value of the ambient temperature of the Nth historical travel data; △T N The battery temperature change of the Nth historical travel data; A corresponding second target weight is configured for the temperature coverage coefficient of each historical travel data, and the weighted temperature coverage coefficient is obtained by adding and summing the weighted temperature coverage coefficient.

5. The method according to claim 2, characterized in that: The calculation formula of the battery heating coverage rate includes: Among them, TF now is the battery heating coverage; T 环境 is the current ambient temperature average; T 电池 is the current temperature of the battery; T 加热 The target heating temperature.

6. The method according to claim 1, characterized in that The calculation formula of the dynamic heating coefficient includes: Among them, T 加热更新值 is the dynamic heating coefficient; T 初始 is the first initial threshold; TF now The battery heating coverage rate; C now F is the current proportion of large throttle acceleration; HST is the weighted temperature coverage factor; T 预报 Weather forecast for the current destination. 环境 is the current ambient temperature average.

7. The method according to claim 1, characterized in that The calculation formula of the power limit includes: Among them, P 功率限幅值 is the power limit; P 初始 is the second initial threshold; C now is the current proportion of large throttle acceleration; P HST is the weighted temperature coverage factor.

8. A device for regulating heating energy consumption, characterized in that: The device comprises: A first acquisition unit is used to acquire multiple consecutive historical travel data and current travel data, wherein the historical travel data is the travel data of the sleep-wake cycle; A first calculation unit, configured to calculate a thermal management power limit, a weighted temperature coverage factor, and a battery heating coverage rate according to the multiple historical travel data and the current travel data; A second acquisition unit, used to acquire a first initial threshold and a second initial threshold of thermal management; a second calculation unit, configured to calculate a dynamic heating coefficient and a power limit value according to the current trip data, the thermal management power limit, the weighted temperature coverage factor, the battery heating coverage rate, the first initial threshold, and the second initial threshold; The regulating unit regulates the heating energy consumption according to the dynamic heating coefficient and the power limit.

9. A heating energy consumption regulating device, characterized in that: The device includes a memory and a processor, the memory is used to store programs or codes, and the processor is used to run the programs or codes stored in the memory to implement the method for adjusting heating energy consumption as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores codes, and when the codes are executed, a device executing the codes implements the method for adjusting heating energy consumption according to any one of claims 1 to 7.

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