Display method and device, vehicle, storage medium and program product

Abstract

The invention relates to the technical field of vehicles, in particular to a display method and device, a vehicle, a storage medium and a program product. The display method comprises the steps that a first interface is displayed, and the first interface displays the energy storage consumption rate corresponding to at least one energy storage interval before the current energy storage interval of a vehicle; and in response to the fact that the energy consumption prediction triggering condition is met, the first interface is updated so that the first interface can display the energy storage consumption rate corresponding to a target energy storage interval of the vehicle, and the target energy storage interval at least comprises the current energy storage interval. Thus, a user can obtain the energy storage consumption rate corresponding to the target energy storage interval of the vehicle in time, and then the energy storage consumption rate can be adjusted by adjusting the driving parameters of the vehicle or the working parameters of the energy consumption equipment in the vehicle so as to meet the requirement for the remaining endurance mileage.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a display method, device, vehicle, storage medium, and program product. Background Art

[0002] Range is crucial information for vehicles during driving, especially for electric vehicles. Because charging takes a long time, users need to plan their charging schedules based on the range. Therefore, range is crucial information for electric vehicles. Electric vehicles can typically predict their remaining range based on the remaining battery charge, such as the battery's state of charge (SOC).

[0003] Among them, the remaining cruising range is related to the energy storage consumption rate. If the user can know the energy storage consumption rate, he can adjust the vehicle's driving parameters or the working parameters of the energy-consuming equipment in the vehicle, and then adjust the energy storage consumption rate to meet the demand for the remaining cruising range. Summary of the Invention

[0004] To overcome the problems existing in the related art, the present disclosure provides a display method, device, vehicle, storage medium and program product.

[0005] According to a first aspect of an embodiment of the present disclosure, a display method is provided, the display method comprising: Displaying a first interface, wherein the first interface displays an energy storage consumption rate corresponding to at least one energy storage interval before a current energy storage interval of the vehicle; In response to satisfying the energy consumption prediction trigger condition, the first interface is updated so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, where the target energy storage interval includes at least the current energy storage interval.

[0006] Optionally, the energy consumption prediction trigger condition includes at least one of the following: energy consumption prediction trigger operation, reaching energy consumption prediction trigger time, and mileage increasing by a preset value.

[0007] Optionally, in response to satisfying the energy consumption prediction trigger condition, updating the first interface includes: In response to satisfying the energy consumption prediction trigger condition, determining a current remaining energy storage of the vehicle and a current energy storage interval in which the current remaining energy storage is located; Predicting an energy consumption rate corresponding to a target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are parameters related to factors affecting energy consumption, the target energy storage interval includes at least the current energy storage interval, and N is an integer greater than 1; Update the first interface.

[0008] Optionally, the display method further includes: The cruising range of the vehicle in the target energy storage interval is determined according to the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0009] Optionally, the energy storage consumption rate includes at least one of the following: the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system, and the energy storage consumption rate of the low-voltage load system.

[0010] Optionally, the characteristic parameters of the driving system include at least one of the following: average vehicle speed, intensity of vehicle driving, road slope, ambient temperature, and vehicle tail status; The characteristic parameters of the thermal management system include at least one of the following: ambient environment parameters, in-vehicle environment parameters, air conditioning setting parameters, battery demand parameters, electric drive demand parameters, thermal management system state, and thermal management power; The characteristic parameters of the low-voltage load system include operating parameters of low-voltage electrical equipment.

[0011] Optionally, predicting the energy storage consumption rate corresponding to the target energy storage interval based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model comprises at least one of the following steps: Predicting the energy consumption rate of the drive system corresponding to the target energy storage interval based on characteristic parameters of the drive system corresponding to the first N energy storage intervals of the current energy storage interval and a first energy consumption estimation model; Predicting the energy consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and a second energy consumption estimation model; or The energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval is predicted based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model.

[0012] Optionally, predicting the energy storage consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and the second energy consumption estimation model includes: Inputting characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval into a second energy consumption estimation model to obtain a first energy storage consumption rate output by the second energy consumption estimation model; determining a first correction coefficient based on power-related parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval, wherein the power-related parameters of the thermal management system include the power of the thermal management system, the operating time of the thermal management system, and the operating parameters of the thermal management system; An energy storage consumption rate of the thermal management system corresponding to a target energy storage interval is determined according to the first correction coefficient and the first energy storage consumption rate.

[0013] Optionally, predicting the energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model includes: Inputting characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval into a third energy consumption estimation model to obtain a second energy storage consumption rate output by the third energy consumption estimation model; determining a second correction coefficient based on power-related parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval, where the power-related parameters of the low-voltage load system include the power of the low-voltage load system, the operating time of the low-voltage load system, and the operating parameters of the low-voltage load system; An energy storage consumption rate of the low-voltage load system corresponding to a target energy storage interval is determined according to the second energy storage consumption rate and the second correction coefficient.

[0014] Optionally, the target energy storage interval includes the current energy storage interval and M energy storage intervals following the current energy storage interval; and predicting the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model includes: Based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, the energy storage consumption rate corresponding to the current energy storage interval and the M energy storage intervals after the current energy storage interval is predicted, where M is an integer greater than or equal to 1.

[0015] Optionally, determining the cruising range of the vehicle in the target energy storage interval according to the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval includes: For the current energy storage interval, determining the cruising range of the current energy storage interval based on the current remaining energy storage, the lower limit of the current energy storage interval, and the energy consumption rate corresponding to the current energy storage interval; For each energy storage interval in the target energy storage interval except the current energy storage interval, determining the cruising range of the energy storage interval based on the upper limit and lower limit of the energy storage interval and the energy consumption rate corresponding to the energy storage interval; The cruising range of the vehicle in the target energy storage interval is determined according to the cruising range of each energy storage interval in the target energy storage interval.

[0016] Optionally, N is greater than or equal to M+1.

[0017] Optionally, the display method further includes: Predicting the cruising range of the remaining energy storage intervals excluding the target energy storage interval and the N energy storage intervals preceding the current energy storage interval; The remaining cruising range of the vehicle is determined according to the cruising range of the target energy storage interval and the cruising range of the remaining energy storage interval.

[0018] Optionally, the vehicle includes a first processing unit and a second processing unit, and the energy consumption estimation model is deployed in the first processing unit; The first processing unit is configured to determine the current remaining energy storage of the vehicle and the current energy storage interval in which the current remaining energy storage is located; and predict the energy storage consumption rate corresponding to a target energy storage interval based on characteristic parameters corresponding to N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are parameters related to factors affecting energy storage consumption, the target energy storage interval includes at least the current energy storage interval, and N is an integer greater than 1; The second processing unit is configured to update the first interface and determine a cruising range of the vehicle in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0019] Optionally, the computing power and storage capacity of the first processing unit are higher than those of the second processing unit, and the real-time performance of the second processing unit is higher than that of the first processing unit.

[0020] Optionally, the energy consumption estimation model is obtained by training the sample characteristic parameters corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters and the sample energy storage consumption rate corresponding to the target sample energy storage interval as the model output parameter, and the target sample energy storage interval at least includes the current sample energy storage interval.

[0021] According to a second aspect of an embodiment of the present disclosure, there is provided a display device, including: a first display module configured to display a first interface, wherein the first interface displays an energy storage consumption rate corresponding to at least one energy storage interval before a current energy storage interval of the vehicle; The first update module is configured to update the first interface in response to meeting the energy consumption prediction trigger condition, so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, and the target energy storage interval at least includes the current energy storage interval.

[0022] According to a third aspect of an embodiment of the present disclosure, there is provided a vehicle, comprising: An energy storage device for storing energy for driving the vehicle; processor; a memory for storing processor-executable instructions; The processor is configured to execute the instructions to implement the steps of the display method described in the first aspect of the embodiment of the present disclosure.

[0023] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the display method described in the first aspect of the embodiment of the present disclosure are implemented.

[0024] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the display method described in the first aspect of the embodiment of the present disclosure.

[0025] Using the above technical solution, a first interface is displayed, showing the energy consumption rate corresponding to at least one energy storage interval preceding the vehicle's current energy storage interval. In response to the energy consumption prediction trigger condition being met, the first interface is updated to display the energy consumption rate corresponding to the vehicle's target energy storage interval, where the target energy storage interval includes at least the current energy storage interval. This allows users to promptly learn the energy consumption rate corresponding to the vehicle's target energy storage interval and, by adjusting the vehicle's driving parameters or the operating parameters of its energy-consuming devices, adjust the energy consumption rate to meet their remaining range requirements.

[0026] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0028] Figure 1 The figure is a flowchart of a display method according to an exemplary embodiment.

[0029] Figure 2The figure is a schematic diagram showing a method for predicting vehicle cruising range according to an exemplary embodiment.

[0030] Figure 3 The figure is a schematic diagram showing a method for determining the remaining cruising range of a vehicle according to an exemplary embodiment.

[0031] Figure 4 is a block diagram of a display device according to an exemplary embodiment.

[0032] Figure 5 is a block diagram of a vehicle according to an exemplary embodiment. DETAILED DESCRIPTION

[0033] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0034] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the corresponding data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0035] Currently, the state of charge (SOC) can be displayed on the vehicle's display interface. The vehicle can also predict the vehicle's remaining range based on the SOC. The remaining range is related to the energy storage consumption rate. If the user knows the energy storage consumption rate, they can adjust the vehicle's driving parameters or the operating parameters of the vehicle's energy-consuming devices to adjust the energy storage consumption rate to meet the required remaining range.

[0036] The present disclosure provides a display method, device, vehicle, storage medium, and program product.

[0037] Figure 1 FIG. 1 is a flow chart showing a display method according to an exemplary embodiment. Figure 1 As shown, the display method may include the following steps.

[0038] In step S11 , a first interface is displayed, which displays the energy storage consumption rate corresponding to at least one energy storage interval before the current energy storage interval of the vehicle.

[0039] In step S12, in response to the energy consumption prediction triggering condition being met, the first interface is updated so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, where the target energy storage interval includes at least the current energy storage interval.

[0040] Among them, energy storage can be electricity, fuel, etc.

[0041] In this embodiment, the energy storage consumption rate corresponding to at least one energy storage interval before the current energy storage interval can be displayed. After the energy storage consumption rate corresponding to the target energy storage interval is subsequently predicted, the first interface can also be updated to display the energy storage consumption rate corresponding to the target energy storage interval for user viewing.

[0042] Among them, the energy storage consumption rate corresponding to at least one energy storage interval before the current energy storage interval can be the energy storage consumption rate corresponding to the previous energy storage interval of the current energy storage area, or it can be the energy storage consumption rate corresponding to the previous multiple energy storage intervals before the current energy storage interval. This disclosure does not make specific limitations on this.

[0043] In addition, the first interface may further include an energy consumption prediction control. When an operation on the energy consumption prediction control is detected, for example, when a click on the energy consumption prediction control is detected, the energy storage consumption rate corresponding to the target energy storage interval is predicted.

[0044] In the present disclosure, when it is determined that the energy consumption prediction trigger condition is met, the energy storage consumption rate corresponding to the target energy storage interval can be predicted.

[0045] The energy consumption prediction triggering condition includes at least one of the following: an energy consumption prediction triggering operation, reaching an energy consumption prediction triggering time, or a mileage increase by a preset value.

[0046] For example, when it is detected that the user clicks on a preset energy consumption trigger control, the energy storage consumption rate corresponding to the target energy storage interval is predicted.

[0047] As another example, energy consumption prediction may be performed periodically, that is, when the energy consumption prediction trigger time is reached, the energy storage consumption rate corresponding to the target energy storage interval is predicted.

[0048] As another example, whether to predict the energy consumption rate corresponding to the target energy storage interval can also be determined based on changes in mileage. For example, the energy consumption rate corresponding to the target energy storage interval can be predicted when the mileage increases by a preset value. The preset value can be 1 kilometer, 2 kilometers, etc.

[0049] The following describes the prediction method of the energy storage consumption rate corresponding to the target energy storage range and the vehicle range.

[0050] In related technologies, the remaining range of a vehicle is often determined in the following ways: First, the remaining range is determined based on the energy consumption rate and state of charge (SOC) of the national standard CLTC (China Light-duty Vehicle Test Cycle) operating conditions. Second, the remaining range is determined based on the energy consumption rate and state of charge (SOC) corresponding to characteristic operating conditions specified by the automaker. Third, the remaining range can be determined based on the average energy consumption rate and state of charge (SOC) over the past 10 km or 50 km of driving.

[0051] However, in the scheme of determining the remaining range of a vehicle based on a fixed energy consumption rate, the correction coefficient is used as the weight calculation result based on different characteristic driving conditions and different characteristic driving environments. Therefore, if the characteristic driving conditions and / or characteristic driving environments are consistent with the characteristic conditions formulated by the car manufacturer, the result of the remaining range of the vehicle is relatively accurate. If the characteristic driving conditions and / or characteristic driving environments are inconsistent with the characteristic conditions formulated by the car manufacturer, the result of the remaining range of the vehicle is inaccurate. In the scheme of determining the future remaining range of the vehicle based on the energy consumption rate of the previous driving process, if the future driving conditions deviate significantly from the previous driving conditions, the prediction result will also be inaccurate. Therefore, it is impossible to accurately predict the vehicle's range.

[0052] In the present disclosure, in response to satisfying the energy consumption prediction trigger condition, updating the first interface may include: In response to satisfying the energy consumption prediction trigger condition, determining a current remaining energy storage of the vehicle and a current energy storage interval in which the current remaining energy storage is located; Predicting the energy consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are related parameters of factors affecting energy consumption, and N is an integer greater than 1; Update the first interface.

[0053] In the present disclosure, the remaining energy stored can be the remaining charge of the battery, such as the state of charge (SOC), or the remaining fuel level. For example, if the vehicle is an electric vehicle, the current remaining energy stored is the current state of charge (SOC); if the vehicle is a gasoline vehicle, the current remaining energy stored is the current remaining fuel level; and if the vehicle is a hybrid vehicle, the current remaining energy stored is a combination of the current state of charge (SOC) and the current remaining fuel level.

[0054] In addition, the energy storage can be pre-divided into multiple intervals. For example, taking the current remaining energy storage as the current state of charge (SOC), the battery state of charge (SOC) can be divided into multiple SOC intervals. For example, if the division interval is 10%, the SOC intervals can include [100%, 90%), [90%, 80%), [80%, 70%), [70%, 60%), [60%, 50%), [50%, 40%), [40%, 30%), [30%, 20%), [20%, 10%), and [10%, 0%). For another example, the SOC intervals can be divided according to the display accuracy of the SOC. Assuming the display accuracy of the SOC is 1%, multiple SOC intervals can be divided with a division interval of 1%. That is, the difference between the upper and lower limits of each divided SOC interval is 1%. For example, the SOC intervals can include [100%, 99%), [99%, 98%), ..., [1%, 0%). The present disclosure does not specifically limit the division method of the energy storage intervals.

[0055] In this disclosure, a pre-trained energy consumption estimation model is used to predict the energy storage consumption rate corresponding to the target energy storage interval. The energy consumption estimation model can be an LSTM (Long Short-Term Memory) network. For example, the LSTM network can include a "forget gate," an "input gate," and an "output gate." The "forget gate" determines which feature parameters are unimportant and should be ignored; the "input gate" determines which newly input feature parameters are important and should be retained; and the "output gate" outputs the future energy storage consumption rate based on the current memory state.

[0056] In one embodiment, the energy consumption estimation model can be obtained by training using the sample characteristic parameters corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters and the sample energy storage consumption rate corresponding to the target sample energy storage interval as the model output parameter, where the target sample energy storage interval at least includes the current sample energy storage interval.

[0057] For example, assuming that the division interval is 1%, N is 10, the current sample energy storage is 85%, and the current sample energy storage interval is [85%, 84%), then the sample characteristic parameters corresponding to the first N sample energy storage intervals of the current sample energy storage interval can be [95%, 94%), [94%, 93%), [93%, 92%), [92%, 91%), [91%, 90%), [90%, 89%), [89%, 88%), [88%, 87%), [87%, 86%), and [86%, 85%), respectively. The sample characteristic parameters corresponding to the N sample energy storage intervals are used as model training parameters, and the sample energy storage consumption rate corresponding to the target sample energy storage interval is used as the model output parameter. The LSTM network is trained, and an energy consumption estimation model is obtained after the training is completed.

[0058] First, it should be understood that the target sample energy storage interval in the model training phase and the target energy storage interval in the model inference phase include the same number of energy storage intervals. For example, the target sample energy storage interval and the target energy storage interval each include 5 energy storage intervals.

[0059] Secondly, it should be understood that if the energy consumption estimation model is an LSTM network, the characteristic parameters corresponding to the first N energy storage intervals can be input into the model in descending order of the energy storage intervals. For example, if the first N energy storage intervals are [95%, 94%), [94%, 93%), [93%, 92%), [92%, 91%), [91%, 90%), [90%, 89%), [89%, 88%), [88%, 87%), [87%, 86%), and [86%, 85%), then the sample characteristic parameters corresponding to [95%, 94%), [94%, 93%), [93%, 92%), [92%, 91%), [91%, 90%), [90%, 89%), [89%, 88%), [88%, 87%), [87%, 86%), and [86%, 85%) are input into the model in sequence for training or inference.

[0060] After the energy storage consumption rate corresponding to the target energy storage interval is predicted in the above manner, the first interface may be updated so that the first interface displays the currently predicted energy storage consumption rate.

[0061] In addition, in the present disclosure, the display method may further include: The vehicle's cruising range in the target energy storage range is determined based on the target energy storage range and the energy storage consumption rate corresponding to the target energy storage range.

[0062] The energy consumption rate may be the energy consumed per kilometer. For example, for a current energy storage interval, the difference between the current remaining energy and the lower limit of the current energy storage interval is determined, and the ratio of this difference to the energy consumption rate corresponding to the current energy storage interval is determined as the energy consumption rate corresponding to the current energy storage interval.

[0063] In the present disclosure, if there is no parking situation, the energy storage consumption rate corresponding to the target time period can also be obtained based on the characteristic parameters corresponding to the time period before the current time period and the preset energy consumption estimation model. The target time period can be the current time period, or the current time period and the subsequent time period, etc.

[0064] Compared with the scheme of predicting the energy storage consumption rate based on the time dimension (the scheme of predicting the energy storage consumption rate of the current time period based on the characteristic parameters of the historical time period), the scheme of predicting the energy storage consumption rate based on the energy storage interval dimension can avoid the problem of predicting the energy storage consumption rate in the future based on the characteristic parameters when the vehicle is not driving, thereby improving the accuracy of the energy storage consumption rate prediction.

[0065] In addition, the energy storage consumption rate is predicted based on the energy storage interval. Since the energy storage can be divided into different intervals, the energy storage consumption rate of each interval can be predicted separately, achieving a more fine-grained consumption rate prediction.

[0066] It should be understood that when the target energy storage interval includes multiple energy storage intervals, the sum of the cruising range of each of the included energy storage intervals may be determined as the cruising range of the target energy storage interval.

[0067] Using the above technical solution, the energy consumption rate corresponding to the target energy storage interval is predicted based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model. Because the vehicle's driving conditions within the target energy storage interval, which includes at least the current energy storage interval, are relatively similar to those within the first N energy storage intervals, the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval are used to predict the energy consumption rate corresponding to the target energy storage interval, thereby improving the accuracy of the predicted energy consumption rate. Subsequently, the vehicle's range within the target energy storage interval is determined based on the energy consumption rate corresponding to the target energy storage interval, thereby improving the accuracy of the determined range within the target energy storage interval.

[0068] Considering the different functions of different modules in a vehicle—for example, a vehicle's system-on-chip (SOC) has higher computing power, while a single-chip microcontroller (MCU) has lower computing power but better real-time control performance—different steps can be performed on different modules. Therefore, in one embodiment, the vehicle may include a first processing unit and a second processing unit, with the energy consumption estimation model deployed in the first processing unit.

[0069] The first processing unit is configured to determine the current remaining energy storage of the vehicle and the current energy storage interval in which the current remaining energy storage is located; and predict the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are parameters related to factors affecting energy storage consumption, the target energy storage interval includes at least the current energy storage interval, and N is an integer greater than 1; The second processing unit is used to update the first interface and determine the vehicle's cruising range in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0070] Accordingly, determining the current remaining energy stored of the vehicle and the current energy storage interval in which the current remaining energy stored is located may include: determining the current remaining energy stored of the vehicle and the current energy storage interval in which the current remaining energy stored is located by a first processing unit; Predicting the energy storage consumption rate corresponding to the target energy storage interval based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model may include: predicting the energy storage consumption rate corresponding to the target energy storage interval on the first processing unit based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and an energy consumption estimation model deployed on the first processing unit.

[0071] Determining the vehicle's cruising range in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval may include: determining, by a second processing unit, the vehicle's cruising range in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0072] The computing power and storage capacity of the first processing unit are higher than those of the second processing unit, and the real-time performance of the second processing unit is higher than that of the first processing unit.

[0073] For example, the first processing unit may be a system on a chip (SoC), and the second processing unit may be a single-chip microcomputer (MCU). Figure 2 FIG. 1 is a schematic diagram showing a method for predicting vehicle cruising range according to an exemplary embodiment. Figure 2As shown, in the system-on-chip (SoC), a characteristic parameter acquisition device first collects characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval. These characteristic parameters are then processed in a first service-oriented architecture (SOA). For example, the characteristic parameters corresponding to the first N energy storage intervals can be sorted in descending order of energy storage, or some characteristic parameters can be quantified. The processed characteristic parameters are then input into an energy consumption estimation model to obtain the energy consumption rate corresponding to the target energy storage interval output by the energy consumption estimation model. Finally, the energy consumption rate corresponding to the target energy storage interval is transmitted to the vehicle control unit (VCU) via the first SOA and a second SOA in the second processing unit. Based on the target energy storage interval and the energy consumption rate corresponding to the target energy storage interval, the VCU determines the vehicle's range within the target energy storage interval.

[0074] In this embodiment, because the second processing unit has higher real-time performance than the first processing unit, the second processing unit can detect whether the energy consumption prediction trigger condition is met. If the second processing unit determines that the energy consumption prediction trigger condition is met, it sends an energy consumption prediction instruction to the first processing unit, causing the first processing unit to execute the steps of determining the vehicle's current remaining energy storage and the current energy storage interval in which the current remaining energy storage is located; and predicting the energy consumption rate corresponding to the target energy storage interval based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model.

[0075] In this way, a heterogeneous deployment scheme is adopted to execute different steps in different processing units, making the vehicle design more modular and facilitating subsequent maintenance and upgrades. In addition, each processing unit can specialize in handling a specific type of task, which can improve processing speed and accuracy.

[0076] In this disclosure, based on the vehicle architecture, the parameters affecting energy storage consumption can be categorized into parameters related to the drive system, parameters related to the thermal management system, and parameters related to the low-voltage load system. Therefore, the energy storage consumption rate includes at least one of the following: the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system, and the energy storage consumption rate of the low-voltage load system.

[0077] In one embodiment, a single model can be used to predict the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system, and the energy storage consumption rate of the low-voltage load system. For example, parameters related to factors affecting energy storage consumption in the drive system, the factors affecting energy storage consumption in the thermal management system, and the factors affecting energy storage consumption in the low-voltage load system are input into an energy consumption estimation model to obtain the energy storage consumption rate.

[0078] In another embodiment, predicting the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model may include at least one of the following: Predicting the energy consumption rate of the drive system corresponding to the target energy storage interval based on characteristic parameters of the drive system corresponding to the first N energy storage intervals of the current energy storage interval and a first energy consumption estimation model; Predicting the energy consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and a second energy consumption estimation model; or The energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval is predicted based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model.

[0079] The characteristic parameters of the drive system may include, but are not limited to, the average vehicle speed corresponding to the energy storage interval, the intensity of vehicle driving, the road slope, the ambient temperature, the state of the vehicle's tail, and other parameters. The intensity of vehicle driving may be quantified by the acceleration or deceleration of the vehicle while traveling within the energy storage interval, and this disclosure does not impose specific limitations on this.

[0080] The characteristic parameters of the thermal management system may include but are not limited to: ambient environment parameters corresponding to the energy storage interval, in-vehicle environment parameters, air conditioning setting parameters, battery demand parameters, electric drive demand parameters, thermal management system status, and thermal management power parameters.

[0081] The characteristic parameters of the low-voltage load system include the operating parameters of low-voltage electrical equipment. For example, the operating parameters of seat heating, steering wheel heating or ventilation, window and mirror defogger and defrost, intelligent driving, entertainment system, interior lighting, in-car charging, wiper blades, and other low-voltage loads.

[0082] In this embodiment, a first energy consumption estimation model, a second energy consumption estimation model and a third energy consumption estimation model can be trained respectively. Among them, the first energy consumption estimation model is obtained by training the sample characteristic parameters of the drive system corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters, and the sample energy storage consumption rate of the drive system corresponding to the target sample energy storage interval as model output parameters. The second energy consumption estimation model is obtained by training the sample characteristic parameters of the thermal management system corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters, and the sample energy storage consumption rate of the thermal management system corresponding to the target sample energy storage interval as model output parameters. The third energy consumption estimation model is obtained by training the sample characteristic parameters of the low-voltage load system corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters, and the sample energy storage consumption rate of the low-voltage load system corresponding to the target sample energy storage interval as model output parameters.

[0083] In addition, considering that the energy storage consumption rate of the thermal management system at the current moment or after the current moment is related to the power-related parameters of the thermal management system before the current moment, and the energy storage consumption rate of the low-voltage load system at the current moment or after the current moment is related to the power-related parameters of the low-voltage load system before the current moment, therefore, in another embodiment, the energy storage consumption rate of the thermal management system and the energy storage consumption rate of the low-voltage load system can also be corrected.

[0084] In one embodiment, predicting the energy storage consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and the second energy consumption estimation model includes: Inputting characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval into a second energy consumption estimation model to obtain a first energy storage consumption rate output by the second energy consumption estimation model; determining a first correction coefficient based on power-related parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval, wherein the power-related parameters of the thermal management system include the power of the thermal management system, the operating time of the thermal management system, and the operating parameters of the thermal management system; An energy storage consumption rate of the thermal management system corresponding to a target energy storage interval is determined according to the first correction coefficient and the first energy storage consumption rate.

[0085] Among them, the power of the thermal management system refers to the power of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval, the working time of the thermal management system refers to the working time of the thermal management system within the time corresponding to the first N energy storage intervals of the current energy storage interval, and the working parameters of the thermal management system can be the gear position, air volume, etc. used for setting.

[0086] For example, a thermal management energy consumption correction coefficient model can be pre-trained. The power-related parameters of the thermal management system corresponding to the N energy storage intervals preceding the current energy storage interval are then input into the thermal management energy consumption correction coefficient model to obtain a first correction coefficient. The first correction coefficient is then multiplied by the first energy storage consumption rate to obtain the energy storage consumption rate of the thermal management system corresponding to the target energy storage interval.

[0087] In another embodiment, predicting the energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model includes: Inputting characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval into a third energy consumption estimation model to obtain a second energy storage consumption rate output by the third energy consumption estimation model; determining a second correction coefficient based on power-related parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval, where the power-related parameters of the low-voltage load system include the power of the low-voltage load system, the operating time of the low-voltage load system, and the operating parameters of the low-voltage load system; An energy storage consumption rate of the low-voltage load system corresponding to a target energy storage interval is determined according to the second energy storage consumption rate and the second correction coefficient.

[0088] For example, a low-voltage load energy consumption correction coefficient model is pre-trained, and the power-related parameters of the low-voltage load system corresponding to the N energy storage intervals preceding the current energy storage interval are input into the low-voltage load energy consumption correction coefficient model to obtain a second correction coefficient. The second correction coefficient is then multiplied by the second energy storage consumption rate to obtain the energy storage consumption rate of the low-voltage load energy consumption correction coefficient model corresponding to the target energy storage interval.

[0089] It should be understood that if the energy storage consumption rate includes two or three of the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system and the energy storage consumption rate of the low-voltage load system, when determining the vehicle's cruising range in the target energy storage interval, the sum of the energy storage consumption rates of the different systems included can be determined as the target energy storage consumption rate corresponding to the target energy storage interval, and then based on the target energy storage interval and the target energy storage consumption rate corresponding to the target energy storage interval, the vehicle's cruising range in the target energy storage interval can be determined.

[0090] By using the above technology, different models can be used to obtain the energy storage consumption rates of different systems corresponding to the target energy storage range, thereby improving the reliability of the predicted energy storage consumption rates of different systems.

[0091] In the present disclosure, the energy storage consumption rate corresponding to the current energy storage interval can be predicted based on the characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval. Alternatively, the energy storage consumption rate corresponding to the current energy storage interval and multiple subsequent energy storage intervals can be predicted based on the characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval. That is, in the present disclosure, the target energy storage interval can include only the current energy storage interval, or the target energy storage interval can include the current energy storage interval and the M energy storage intervals following the current energy storage interval, i.e., the number of energy storage intervals included in the target energy storage interval is M+1.

[0092] In one embodiment, the target energy storage interval includes the current energy storage interval and M energy storage intervals following the current energy storage interval. Accordingly, predicting the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model may include predicting the energy storage consumption rate corresponding to the current energy storage interval and M energy storage intervals following the current energy storage interval based on characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model, where M is an integer greater than or equal to 1.

[0093] Among them, N can be greater than, less than or equal to M+1. However, considering that the larger M+1 is, the farther the energy storage interval included in the target energy storage interval is from the N energy storage intervals, accordingly, the driving conditions and / or ambient temperatures corresponding to the energy storage intervals included in the target energy storage interval are likely to deviate from the driving conditions and / or ambient temperatures corresponding to the N energy storage intervals. Therefore, the reliability of the predicted energy storage consumption rate is lower.

[0094] For example, if N = 5, M + 1 = 10, and the current energy storage interval is [85%, 84%), then the characteristic parameters corresponding to [90%, 89%), [89%, 88%), [88%, 87%), [87%, 86%), and [86%, 85%) are used to predict the energy storage consumption rates corresponding to [85%, 84%), ..., [76%, 75%). Because the energy storage interval [76%, 75%) is significantly separated from the first five energy storage intervals, the probability that the vehicle's driving conditions and / or ambient temperature will deviate from those corresponding to the first N energy storage intervals is greater, i.e., the reliability of the predicted energy storage consumption rate is lower. Therefore, to improve the accuracy of the predicted energy storage consumption rate corresponding to the energy storage interval, N is preferably greater than or equal to M + 1, for example, N = 10 and M + 1 = 5.

[0095] Accordingly, in this embodiment, when the target energy storage interval includes multiple energy storage intervals, determining the vehicle's cruising range in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval may include: For the current energy storage interval, determine the range of the current energy storage interval based on the current remaining energy storage, the lower limit of the current energy storage interval, and the energy consumption rate corresponding to the current energy storage interval; For each energy storage interval in the target energy storage interval except the current energy storage interval, determine the range of the energy storage interval based on the upper and lower limits of the energy storage interval and the energy consumption rate corresponding to the energy storage interval; The cruising range of the vehicle in the target energy storage interval is determined based on the cruising range of each energy storage interval in the target energy storage interval.

[0096] It should be understood that if the current remaining energy storage is the upper limit of the current energy storage interval, then for each energy storage interval in the target energy storage interval, the range of the energy storage interval can be determined based on the upper and lower limits of the energy storage interval, as well as the energy storage consumption rate corresponding to the energy storage interval. If the current remaining energy storage is not the upper limit of the current energy storage interval, then for the current energy storage interval, the range of the current energy storage interval can be determined based on the current remaining energy storage, the lower limit of the energy storage interval, and the energy storage consumption rate corresponding to the current energy storage interval. At the same time, for each energy storage interval in the target energy storage interval other than the current energy storage interval, the range of the energy storage interval can be determined based on the upper and lower limits of the energy storage interval, as well as the energy storage consumption rate corresponding to the energy storage interval.

[0097] Among them, when the energy storage consumption rate includes the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system and the energy storage consumption rate of the low-voltage load system, in one embodiment, the specific implementation method for determining the cruising range may be: for the current energy storage interval, the sum of the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system and the energy storage consumption rate of the low-voltage load system corresponding to the current energy storage interval is determined as the target energy storage consumption rate corresponding to the current energy storage interval, and the ratio of the difference between the current remaining energy storage and the lower limit value of the current energy storage interval to the target energy storage consumption rate corresponding to the current energy storage interval is determined as the cruising range of the current energy storage interval.

[0098] In another embodiment, for each energy storage interval in the target energy storage interval except the current energy storage interval, the specific implementation method for determining the cruising range of the energy storage interval based on the upper and lower limits of the energy storage interval and the energy storage consumption rate corresponding to the energy storage interval may be: for each energy storage interval in the target energy storage interval except the current energy storage interval, the sum of the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system and the energy storage consumption rate of the low-voltage load system corresponding to the energy storage interval is determined as the target energy storage consumption rate corresponding to the energy storage interval; for each energy storage interval in the target energy storage interval except the current energy storage interval, the difference between the upper and lower limits of the energy storage interval is determined, and the ratio of the difference to the target energy storage consumption rate corresponding to the energy storage interval is determined as the cruising range of the energy storage interval.

[0099] After determining the cruising range of each energy storage interval in the target energy storage interval, the sum of the cruising ranges of each energy storage interval may be determined as the cruising range of the vehicle in the target energy storage interval.

[0100] In actual applications, considering the limited performance or computing power of the energy consumption estimation model, the predicted target energy storage interval may only include part of the remaining energy storage intervals, but not all of the remaining energy storage intervals. In order to determine the remaining cruising range of the vehicle, in one embodiment, the display method may further include: predicting the cruising range of the remaining energy storage intervals excluding the target energy storage interval and the first N energy storage intervals of the current energy storage interval; and determining the remaining cruising range of the vehicle based on the cruising range of the target energy storage interval and the cruising range of the remaining energy storage intervals.

[0101] For example, using the above example, assuming M+1=5 and the current energy storage interval is [85%, 84%), the target energy storage intervals include [85%, 84%), [84%, 83%), [83%, 82%), [82%, 81%), and [81%, 80%). The vehicle's range in the target energy storage interval refers to the range in the energy storage interval [85%, 80%), not the vehicle's remaining range. Therefore, to determine the vehicle's remaining range, the range in the remaining energy storage interval must be predicted. For example, the range in the remaining energy storage interval [80%, 0%) must also be predicted.

[0102] Among them, the cruising range of the remaining energy storage interval can be predicted by using the method of predicting cruising range in the existing technology, and this disclosure does not make specific limitations on this.

[0103] After the cruising range of the remaining energy storage interval is predicted, the sum of the cruising range of the target energy storage interval and the cruising range of the remaining energy storage interval is determined as the remaining cruising range of the vehicle.

[0104] Figure 3 FIG. 1 is a schematic diagram showing a method for determining the remaining cruising range of a vehicle according to an exemplary embodiment. Figure 3As shown, first, the characteristic parameters of the drive system corresponding to the first N energy storage intervals of the current energy storage interval are input into a first energy consumption estimation model to obtain the energy storage consumption rate of the drive system corresponding to the target energy storage interval. The characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval are input into a second energy consumption estimation model to obtain the energy storage consumption rate of the thermal management system corresponding to the target energy storage interval. The characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval are input into a third energy consumption estimation model to obtain the energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval. Next, the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system, and the energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval are input into a vehicle controller. The vehicle controller determines the vehicle's cruising range in the target energy storage interval and the cruising range in the remaining energy storage interval, respectively. Based on the cruising range in the target energy storage interval and the cruising range in the remaining energy storage interval, the vehicle's remaining cruising range is calculated. Finally, the vehicle's remaining cruising range is input into a display device for display.

[0105] In addition, the display device can also display Figure 1 The first interface in .

[0106] Based on the same inventive concept, the present disclosure also provides a display device. Figure 4 FIG. 1 is a block diagram of a display device according to an exemplary embodiment. Figure 4 As shown, the display device 400 may include: A first display module 401 is configured to display a first interface, wherein the first interface displays an energy storage consumption rate corresponding to at least one energy storage interval before a current energy storage interval of the vehicle; The first update module 402 is configured to update the first interface in response to satisfying the energy consumption prediction trigger condition, so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, and the target energy storage interval at least includes the current energy storage interval.

[0107] Optionally, the energy consumption prediction trigger condition includes at least one of the following: energy consumption prediction trigger operation, reaching energy consumption prediction trigger time, and mileage increasing by a preset value.

[0108] Optionally, the first updating module 402 may include: A first determining submodule is configured to determine, in response to satisfying an energy consumption prediction trigger condition, a current remaining energy storage of the vehicle and a current energy storage interval in which the current remaining energy storage is located; a prediction submodule configured to predict the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are related parameters of factors affecting energy storage consumption, and N is an integer greater than 1; The updating submodule is configured to update the first interface.

[0109] Optionally, the display device 400 may further include: The determination module is configured to determine the cruising range of the vehicle in the target energy storage interval according to the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0110] Optionally, the energy storage consumption rate includes at least one of the following: the energy storage consumption rate of the drive system, the energy storage consumption rate of the thermal management system, and the energy storage consumption rate of the low-voltage load system.

[0111] Optionally, the characteristic parameters of the driving system include at least one of the following: average vehicle speed, intensity of vehicle driving, road slope, ambient temperature, and vehicle tail status; The characteristic parameters of the thermal management system include at least one of the following: ambient environment parameters, in-vehicle environment parameters, air conditioning setting parameters, battery demand parameters, electric drive demand parameters, thermal management system state, and thermal management power; The characteristic parameters of the low-voltage load system include operating parameters of low-voltage electrical equipment.

[0112] Optionally, the prediction submodule is configured to perform at least one of the following steps: Predicting the energy consumption rate of the drive system corresponding to the target energy storage interval based on characteristic parameters of the drive system corresponding to the first N energy storage intervals of the current energy storage interval and a first energy consumption estimation model; Predicting the energy consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and a second energy consumption estimation model; or The energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval is predicted based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model.

[0113] Optionally, the prediction submodule is configured to: Inputting characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval into a second energy consumption estimation model to obtain a first energy storage consumption rate output by the second energy consumption estimation model; determining a first correction coefficient based on power-related parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval, wherein the power-related parameters of the thermal management system include the power of the thermal management system, the operating time of the thermal management system, and the operating parameters of the thermal management system; An energy storage consumption rate of the thermal management system corresponding to a target energy storage interval is determined according to the first correction coefficient and the first energy storage consumption rate.

[0114] Optionally, the prediction submodule is configured to: Inputting characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval into a third energy consumption estimation model to obtain a second energy storage consumption rate output by the third energy consumption estimation model; determining a second correction coefficient based on power-related parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval, where the power-related parameters of the low-voltage load system include the power of the low-voltage load system, the operating time of the low-voltage load system, and the operating parameters of the low-voltage load system; An energy storage consumption rate of the low-voltage load system corresponding to a target energy storage interval is determined according to the second energy storage consumption rate and the second correction coefficient.

[0115] Optionally, the target energy storage interval includes the current energy storage interval and M energy storage intervals after the current energy storage interval; the prediction submodule is configured to predict the energy storage consumption rate corresponding to the current energy storage interval and the M energy storage intervals after the current energy storage interval based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, where M is an integer greater than or equal to 1.

[0116] Optionally, the determining module is configured to: For the current energy storage interval, determining the cruising range of the current energy storage interval based on the current remaining energy storage, the lower limit of the current energy storage interval, and the energy consumption rate corresponding to the current energy storage interval; For each energy storage interval in the target energy storage interval except the current energy storage interval, determining the cruising range of the energy storage interval based on the upper limit and lower limit of the energy storage interval and the energy consumption rate corresponding to the energy storage interval; The cruising range of the vehicle in the target energy storage interval is determined according to the cruising range of each energy storage interval in the target energy storage interval.

[0117] Optionally, N is greater than or equal to M+1.

[0118] Optionally, the display device 400 may include: a prediction module configured to predict the cruising range of the remaining energy storage intervals excluding the target energy storage interval and the N energy storage intervals preceding the current energy storage interval; The third determining module is configured to determine the remaining cruising range of the vehicle according to the cruising range of the target energy storage interval and the cruising range of the remaining energy storage interval.

[0119] Optionally, the vehicle includes a first processing unit and a second processing unit, The first processing unit is configured to determine the current remaining energy storage of the vehicle and the current energy storage interval in which the current remaining energy storage is located; and predict the energy storage consumption rate corresponding to a target energy storage interval based on characteristic parameters corresponding to N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are parameters related to factors affecting energy storage consumption, the target energy storage interval includes at least the current energy storage interval, and N is an integer greater than 1; The second processing unit is configured to update the first interface and determine a cruising range of the vehicle in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

[0120] Optionally, the computing power and storage capacity of the first processing unit are higher than those of the second processing unit, and the real-time performance of the second processing unit is higher than that of the first processing unit.

[0121] Optionally, the energy consumption estimation model is obtained by training the sample characteristic parameters corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters and the sample energy storage consumption rate corresponding to the target sample energy storage interval as the model output parameter, and the target sample energy storage interval at least includes the current sample energy storage interval.

[0122] Regarding the display device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0123] The present disclosure also provides a computer-readable storage medium having computer program instructions stored thereon, which implement the steps of the display method provided by the present disclosure when the program instructions are executed by a processor.

[0124] Figure 5 is a block diagram of a vehicle according to an exemplary embodiment. For example, vehicle 500 may be a hybrid vehicle, a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or another type of vehicle. Vehicle 500 may be an autonomous vehicle, a semi-autonomous vehicle, or a non-autonomous vehicle.

[0125] Reference Figure 5Vehicle 500 may include various subsystems, such as an infotainment system 510, a perception system 520, a decision-making and control system 530, a drive system 540, and a computing platform 550. Vehicle 500 may also include more or fewer subsystems, and each subsystem may include multiple components. Furthermore, each subsystem and each component of vehicle 500 may be interconnected via wired or wireless means. Furthermore, vehicle 500 may also include an energy storage device (not shown) for storing energy that drives the vehicle.

[0126] In some embodiments, the infotainment system 510 may include a communication system, an entertainment system, a navigation system, and the like.

[0127] The perception system 520 may include several sensors for sensing information about the environment surrounding the vehicle 500. For example, the perception system 520 may include a global positioning system (which may be a GPS system, a BeiDou system, or another positioning system), an inertial measurement unit (IMU), a laser radar, a millimeter-wave radar, an ultrasonic radar, and a camera.

[0128] The decision control system 530 may include a computing system, a vehicle controller, a steering system, a throttle, and a braking system.

[0129] The drive system 540 may include components that provide power to the vehicle 500. In one embodiment, the drive system 540 may include an engine, a power source, a transmission system, and wheels. The engine may be an internal combustion engine, an electric motor, an air compression engine, or a combination thereof. The engine is capable of converting energy provided by the power source into mechanical energy.

[0130] Some or all functions of the vehicle 500 are controlled by a computing platform 550. The computing platform 550 may include at least one processor 551 and a memory 552. The processor 551 may execute instructions 553 stored in the memory 552.

[0131] The processor 551 can be any conventional processor, such as a commercially available CPU. The processor can also include a graphics processor (GPU), a field programmable gate array (FPGA), a system on chip (SOC), an application specific integrated circuit (ASIC), or a combination thereof.

[0132] The memory 552 may be implemented by any type of volatile or non-volatile memory device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0133] In addition to instructions 553 , memory 552 may also store data, such as road maps, route information, and vehicle location, direction, speed, etc. The data stored in memory 552 may be used by computing platform 550 .

[0134] In the embodiment of the present disclosure, the processor 551 may execute the instruction 553 to complete all or part of the steps of the above-mentioned display method.

[0135] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program executable by a programmable device, and has a code portion for executing the above display method when executed by the programmable device.

[0136] Furthermore, the word "exemplary" is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as "exemplary" is not necessarily to be construed as advantageous over other aspects or designs. Rather, the use of the word exemplary is intended to present concepts in a concrete manner. As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or." That is, unless otherwise specified or clear from the context, "X applies to A or B" is intended to mean any of the natural inclusive permutations. That is, if X applies to A; X applies to B; or X applies to both A and B, then "X applies to A or B" satisfies any of the aforementioned instances. Furthermore, the articles "a" and "an," as used in this application and the appended claims, are generally understood to mean "one or more," unless otherwise specified or clear from the context to refer to the singular form.

[0137] Likewise, although the present disclosure has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding this specification and the accompanying drawings. The present disclosure includes all such modifications and variations and is limited only by the scope of the claims. With particular regard to the various functions performed by the components described above (e.g., elements, resources, etc.), unless otherwise indicated, terms used to describe such components are intended to correspond to any component (functionally equivalent) that performs the specific function of the described component, even if not structurally equivalent to the disclosed structure. In addition, although particular features of the present disclosure may have been disclosed with respect to only one of several implementations, such features may be combined with one or more other features of other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms "include," "have," "have," "have," or variations thereof are used in the detailed description or claims, such terms are intended to be inclusive in a manner similar to the term "comprising."

[0138] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the appended claims.

[0139] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A display method, characterized in that: The display method includes: Displaying a first interface, wherein the first interface displays an energy storage consumption rate corresponding to at least one energy storage interval before a current energy storage interval of the vehicle; In response to satisfying the energy consumption prediction trigger condition, the first interface is updated so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, where the target energy storage interval includes at least the current energy storage interval.

2. The display method according to claim 1, wherein: The energy consumption prediction triggering condition includes at least one of the following: an energy consumption prediction triggering operation, reaching an energy consumption prediction triggering time, and a preset value increase in mileage.

3. The display method according to claim 1, wherein: The updating of the first interface in response to satisfying the energy consumption prediction triggering condition includes: In response to satisfying an energy consumption prediction trigger condition, determining a current remaining energy storage of the vehicle and a current energy storage interval in which the current remaining energy storage is located; Predicting the energy consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are related parameters of factors affecting energy consumption, and N is an integer greater than 1; Update the first interface.

4. The display method according to any one of claims 1 to 3, characterized in that: The display method further includes: The cruising range of the vehicle in the target energy storage interval is determined according to the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

5. The display method according to claim 3, wherein: The energy storage consumption rate includes at least one of the following: an energy storage consumption rate of a driving system, an energy storage consumption rate of a thermal management system, and an energy storage consumption rate of a low-voltage load system.

6. The display method according to claim 5, characterized in that: The characteristic parameters of the driving system include at least one of the following: average vehicle speed, intensity of vehicle driving, road slope, ambient temperature, and vehicle tail status; The characteristic parameters of the thermal management system include at least one of the following: ambient environment parameters, in-vehicle environment parameters, air conditioning setting parameters, battery demand parameters, electric drive demand parameters, thermal management system state, and thermal management power; The characteristic parameters of the low-voltage load system include operating parameters of low-voltage electrical equipment.

7. The display method according to claim 5, characterized in that: The step of predicting the energy consumption rate corresponding to the target energy storage interval based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model comprises at least one of the following steps: Predicting the energy consumption rate of the drive system corresponding to the target energy storage interval based on characteristic parameters of the drive system corresponding to the first N energy storage intervals of the current energy storage interval and a first energy consumption estimation model; Predicting the energy consumption rate of the thermal management system corresponding to the target energy storage interval based on characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and a second energy consumption estimation model; or The energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval is predicted based on characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and a third energy consumption estimation model.

8. The display method according to claim 7, wherein: The predicting the energy storage consumption rate of the thermal management system corresponding to the target energy storage interval based on the characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval and the second energy consumption estimation model includes: Inputting characteristic parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval into a second energy consumption estimation model to obtain a first energy storage consumption rate output by the second energy consumption estimation model; determining a first correction coefficient based on power-related parameters of the thermal management system corresponding to the first N energy storage intervals of the current energy storage interval, wherein the power-related parameters of the thermal management system include the power of the thermal management system, the operating time of the thermal management system, and the operating parameters of the thermal management system; An energy storage consumption rate of the thermal management system corresponding to a target energy storage interval is determined according to the first correction coefficient and the first energy storage consumption rate.

9. The display method according to claim 7, wherein: The predicting the energy storage consumption rate of the low-voltage load system corresponding to the target energy storage interval based on the characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval and the third energy consumption estimation model includes: Inputting characteristic parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval into a third energy consumption estimation model to obtain a second energy storage consumption rate output by the third energy consumption estimation model; determining a second correction coefficient based on power-related parameters of the low-voltage load system corresponding to the first N energy storage intervals of the current energy storage interval, where the power-related parameters of the low-voltage load system include the power of the low-voltage load system, the operating time of the low-voltage load system, and the operating parameters of the low-voltage load system; An energy storage consumption rate of the low-voltage load system corresponding to a target energy storage interval is determined according to the second energy storage consumption rate and the second correction coefficient.

10. The display method according to claim 4, wherein: The target energy storage interval includes the current energy storage interval and M energy storage intervals after the current energy storage interval; and predicting the energy storage consumption rate corresponding to the target energy storage interval based on characteristic parameters corresponding to the N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model includes: Based on the characteristic parameters corresponding to the first N energy storage intervals of the current energy storage interval and a preset energy consumption estimation model, the energy storage consumption rate corresponding to the current energy storage interval and the M energy storage intervals after the current energy storage interval is predicted, where M is an integer greater than or equal to 1.

11. The display method according to claim 10, characterized in that: The determining, based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval, of the vehicle's cruising range in the target energy storage interval includes: For the current energy storage interval, determining the cruising range of the current energy storage interval based on the current remaining energy storage, the lower limit of the current energy storage interval, and the energy consumption rate corresponding to the current energy storage interval; For each energy storage interval in the target energy storage interval except the current energy storage interval, determining the cruising range of the energy storage interval based on the upper limit and lower limit of the energy storage interval and the energy consumption rate corresponding to the energy storage interval; The cruising range of the vehicle in the target energy storage interval is determined according to the cruising range of each energy storage interval in the target energy storage interval.

12. The display method according to claim 10, wherein: The N is greater than or equal to M+1.

13. The display method according to claim 4, wherein: The display method further includes: Predicting the cruising range of the remaining energy storage intervals excluding the target energy storage interval and the N energy storage intervals preceding the current energy storage interval; The remaining cruising range of the vehicle is determined according to the cruising range of the target energy storage interval and the cruising range of the remaining energy storage interval.

14. The display method according to claim 4, wherein: The vehicle comprises a first processing unit and a second processing unit, The first processing unit is configured to determine the current remaining energy storage of the vehicle and the current energy storage interval in which the current remaining energy storage is located; and predict the energy storage consumption rate corresponding to a target energy storage interval based on characteristic parameters corresponding to N energy storage intervals preceding the current energy storage interval and a preset energy consumption estimation model, wherein the characteristic parameters are parameters related to factors affecting energy storage consumption, the target energy storage interval includes at least the current energy storage interval, and N is an integer greater than 1; The second processing unit is configured to update the first interface and determine a cruising range of the vehicle in the target energy storage interval based on the target energy storage interval and the energy storage consumption rate corresponding to the target energy storage interval.

15. The display method according to claim 14, wherein: The computing power and storage capacity of the first processing unit are higher than those of the second processing unit, and the real-time performance of the second processing unit is higher than that of the first processing unit.

16. The display method according to claim 3, wherein: The energy consumption estimation model is obtained by training the sample characteristic parameters corresponding to the first N sample energy storage intervals of the current sample energy storage interval as model input parameters and the sample energy storage consumption rate corresponding to the target sample energy storage interval as the model output parameter, wherein the target sample energy storage interval at least includes the current sample energy storage interval.

17. A display device, characterized in that: include: a first display module configured to display a first interface, wherein the first interface displays an energy storage consumption rate corresponding to at least one energy storage interval before a current energy storage interval of the vehicle; The first update module is configured to update the first interface in response to meeting the energy consumption prediction trigger condition, so that the first interface displays the energy storage consumption rate corresponding to the target energy storage interval of the vehicle, and the target energy storage interval at least includes the current energy storage interval.

18. A vehicle, characterized in that: include: An energy storage device for storing energy for driving the vehicle; processor; a memory for storing processor-executable instructions; The processor is configured to execute the instructions to implement the steps of the display method according to any one of claims 1 to 16.

19. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the display method according to any one of claims 1 to 16 are implemented.

20. A computer program product, characterized in that The invention comprises a computer program, which implements the steps of the display method according to any one of claims 1 to 16 when the computer program is executed by a processor.

Images