Vehicle Endurance Mileage Prediction Method, Device, Equipment and Construction Machinery

Abstract

The present application provides a method, device, equipment, and working machine for predicting the driving range of a vehicle. The method includes: obtaining the vehicle driving data, the working data of the superstructure assembly, the remaining battery power, the pre-recorded vehicle mass, and the pre-recorded lower limit value of the battery power of the current vehicle; determining the basic mileage energy consumption of the current vehicle and the superstructure energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data, and the working data of the superstructure assembly, and using the superstructure energy consumption of the current vehicle as the additional loss other than the driving range of the current vehicle; determining the driving range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss. By adopting the technical solution of the present application, it is possible to predict the driving range of the vehicle in combination with the superstructure energy consumption during the operation of the superstructure, avoiding the influence of the superstructure operation on the prediction of the driving range and improving the accuracy of the prediction of the driving range of the vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicles, and particularly relates to a method, device, equipment and working machine for predicting the cruising range of a vehicle. Background Art

[0002] The cruising range, also known as the endurance capacity, refers to the total mileage that a vehicle such as an automobile or a ship can continuously travel under the current fuel reserve. The cruising range of an electric vehicle refers to the mileage that the electric vehicle can travel with the current power of the power battery on the vehicle. During the driving process of a vehicle, predicting the cruising range for the driver can prompt the driver of the remaining mileage that can be traveled with the current remaining energy, so that the driver can timely charge the vehicle to avoid running out of energy during the driving process.

[0003] Currently, most electric vehicles on the market generally predict the cruising range based on the vehicle's stored battery power and the average energy consumption level of the vehicle, and roughly estimate the driving mileage that the vehicle's stored battery power can still support. However, during the driving process of the vehicle, different external conditions will affect the actual cruising range, and the difference between the predicted cruising range using the existing method and the actual cruising range is large, resulting in a low accuracy of predicting the cruising range of the vehicle. Summary of the Invention

[0004] In view of this, the embodiments of the present application are committed to providing a method, device, equipment and working machine for predicting the cruising range of a vehicle to solve the problem of low accuracy of predicting the cruising range of a vehicle in the prior art.

[0005] On the one hand, the present application provides a method for predicting the cruising range of a vehicle, including:

[0006] Obtaining the vehicle driving data, the working data of the superstructure components, the remaining battery power, the pre-recorded vehicle mass and the pre-recorded lower limit value of the battery power of the current vehicle;

[0007] Determining the basic mileage energy consumption and the superstructure energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the working data of the superstructure components, where the superstructure energy consumption of the current vehicle is the additional loss other than the cruising range of the current vehicle;

[0008] Determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption and the additional loss.

[0009] Optionally, the vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, vehicle slope, acceleration and driving energy consumption within a preset duration;

[0010] Determine the basic mileage energy consumption and the on-board equipment energy consumption of the current vehicle based on the vehicle's gross mass, the vehicle driving data, and the on-board equipment operation data, including:

[0011] Determine the load of the current vehicle based on the wheel driving force, the resistance on the wheels, the slope where the vehicle is located, the acceleration, and the vehicle's gross mass;

[0012] Determine the on-board equipment energy consumption of the current vehicle based on the load and the on-board equipment operation data;

[0013] Determine the basic mileage energy consumption of the current vehicle based on the cycle condition power consumption corresponding to the load, the driving energy consumption within the preset duration, and the preset duration.

[0014] Optionally, determining the basic mileage energy consumption of the current vehicle based on the cycle condition power consumption corresponding to the load, the driving energy consumption within the preset duration, and the preset duration includes:

[0015] Determine whether the driving target and driving route of the current vehicle are obtained;

[0016] If the driving target and driving route of the current vehicle are obtained, determine the basic mileage energy consumption of the current vehicle based on the historical energy consumption data matching the load, driving target, and driving route of the current vehicle;

[0017] If the driving target and driving route of the current vehicle are not obtained, determine the basic mileage energy consumption of the current vehicle based on the cycle condition power consumption corresponding to the load, the driving energy consumption within the preset duration, and the preset duration.

[0018] Optionally, before determining the driving range of the current vehicle based on the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, and the additional loss, it further includes:

[0019] Obtain the temperature data of the current vehicle and the driving duration of the current vehicle; wherein, the temperature data includes: the interior temperature, the set temperature, and the exterior temperature;

[0020] Query the air-conditioning energy consumption corresponding to the temperature data of the current vehicle from the pre-constructed mapping relationship between temperature and air-conditioning energy consumption;

[0021] Take the ratio between the air-conditioning energy consumption and the driving duration of the current vehicle as the basic air-conditioning energy consumption of the current vehicle, and regard both the basic air-conditioning energy consumption of the current vehicle and the on-board equipment energy consumption of the current vehicle as the additional loss other than the driving range of the current vehicle.

[0022] Optionally, before determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, it further includes:

[0023] Query the battery correction coefficient corresponding to the outside temperature of the current vehicle according to the pre-constructed mapping relationship between the temperature and the battery correction coefficient and the pre-acquired outside temperature of the current vehicle;

[0024] Determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss includes:

[0025] Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient.

[0026] Optionally, determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient includes:

[0027] Take the value obtained by multiplying the difference between the remaining battery power and the lower limit value of the battery power by the battery correction coefficient as the available battery power of the current vehicle, and take the sum of the basic mileage energy consumption and the additional loss as the total energy consumption of the current vehicle;

[0028] Take the ratio between the available battery power of the current vehicle and the total energy consumption of the current vehicle as the cruising range of the current vehicle.

[0029] Optionally, the method further includes:

[0030] Take the value obtained by multiplying the difference between the remaining battery power and the lower limit value of the battery power by the battery correction coefficient as the available battery power of the current vehicle;

[0031] Take the ratio between the available battery power of the current vehicle and the on-board energy consumption of the current vehicle as the available on-board duration, where the available on-board duration is the working duration when only using the available battery power of the current vehicle for on-board work.

[0032] Optionally, the method further includes:

[0033] Obtain the distance between the charging and swapping station within the cruising range of the current vehicle and the current vehicle;

[0034] Output the cruising range of the current vehicle and the distance to the charging and swapping station.

[0035] Another aspect of the present application provides a vehicle cruising range prediction device, including:

[0036] An acquisition module, configured to acquire vehicle driving data, upper-mounted component working data, remaining battery power, pre-recorded vehicle mass, and pre-recorded lower limit value of battery power of the current vehicle;

[0037] An energy consumption determination module, configured to determine the basic mileage energy consumption and upper-mounted energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data, and the upper-mounted component working data, and the upper-mounted energy consumption of the current vehicle is used as the additional loss other than the cruising range of the current vehicle:

[0038] A cruising range determination module, configured to determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of battery power, the basic mileage energy consumption, and the additional loss.

[0039] Another aspect of the present application provides a vehicle cruising range prediction device, including: a memory and a processor;

[0040] Wherein, the memory is connected to the processor and is used for storing programs;

[0041] The processor is configured to implement the above-mentioned vehicle cruising range prediction method by running the program in the memory.

[0042] Another aspect of the present application provides a construction machine, including: a sensor cluster, a vehicle body, an upper-mounted component, and a vehicle cruising range prediction device;

[0043] The vehicle body is connected to the upper-mounted component;

[0044] The sensors in the sensor cluster are arranged on the vehicle body or the upper-mounted component;

[0045] The vehicle cruising range prediction device is connected to the sensors in the sensor cluster.

[0046] According to the vehicle cruising range prediction method provided by the present application, acquire the vehicle driving data, upper-mounted component working data, remaining battery power, pre-recorded vehicle mass, and pre-recorded lower limit value of battery power of the current vehicle; determine the basic mileage energy consumption and the upper-mounted energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data, and the upper-mounted component working data, and the upper-mounted energy consumption of the current vehicle is the additional loss other than the cruising range of the current vehicle; determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of battery power, the basic mileage energy consumption, and the additional loss. By adopting the technical solution of the present application, the cruising range of the vehicle can be predicted in combination with the upper-mounted energy consumption during the operation of the upper-mounted component, avoiding the influence of the upper-mounted work on the cruising range prediction, and improving the accuracy of the cruising range prediction of the vehicle. Brief Description of the Drawings

[0047] Figure 1 is a schematic flowchart of a method for predicting the driving range of a vehicle provided by an embodiment of the present application;

[0048] Figure 2 is a schematic flowchart of another method for predicting the driving range of a vehicle provided by an embodiment of the present application;

[0049] Figure 3 is a schematic flowchart of another method for predicting the driving range of a vehicle provided by an embodiment of the present application;

[0050] Figure 4 is a schematic flowchart of a processing procedure for determining the available duration of the superstructure of the current vehicle provided by an embodiment of the present application;

[0051] Figure 5 is a schematic structural diagram of a device for predicting the driving range of a vehicle provided by an embodiment of the present application;

[0052] Figure 6 is a schematic structural diagram of a device for predicting the driving range of a vehicle provided by an embodiment of the present application;

[0053] Figure 7 is a schematic structural diagram of a construction machine provided by an embodiment of the present application. Detailed Description of the Embodiments

[0054] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0055] Figure 1 is a schematic flowchart of a method for predicting the driving range of a vehicle provided by an embodiment of the present application. As Figure 1 shown, the method for predicting the driving range of a vehicle in this embodiment is applied to an electric vehicle, and the specific steps include:

[0056] S101. Obtain the vehicle driving data, superstructure component working data, remaining battery power, pre-recorded vehicle mass, and pre-recorded lower limit value of battery power of the current vehicle.

[0057] During the driving process of the vehicle, the driver can determine whether the vehicle can reach the destination based on the current driving range of the vehicle, whether it is necessary to store energy for the vehicle during the driving process, etc. Therefore, it is particularly important to predict the driving range of the vehicle.

[0058] Specifically, in order to predict the remaining driving range of the current vehicle, corresponding data that can assist in the prediction needs to be obtained. In this embodiment, the vehicle driving data of the current vehicle, the working data of the superstructure components, the remaining battery power, the pre-recorded vehicle mass, and the pre-recorded lower limit value of the battery power need to be obtained.

[0059] In this embodiment, the vehicle driving data of the current vehicle includes: the driving force of the wheels of the current vehicle, the resistance received by the wheels of the current vehicle, the slope where the current vehicle is located, the acceleration of the current vehicle, and the driving energy consumption of the current vehicle within a preset duration. Among them, since both the driving force of the vehicle's wheels and the resistance received by the wheels are related to the driving speed of the vehicle, therefore, the driving force of the wheels of the current vehicle and the resistance received by the wheels of the current vehicle are obtained by conversion according to the vehicle speed of the current vehicle, and the vehicle speed of the current vehicle can be collected by using a pre-set rotational speed sensor or vehicle speed sensor; the slope where the vehicle is located can be collected by using a pre-set gyroscope; the acceleration of the vehicle can be collected by using a pre-set acceleration sensor; the driving energy consumption of the current vehicle within a preset duration is the energy consumption used for vehicle driving within a preset duration before the current moment recorded during the driving process of the current vehicle.

[0060] In this embodiment, the pre-recorded vehicle mass of the current vehicle refers to the net mass when the vehicle is unloaded. For example, the vehicle mass of a mixer truck is the net mass of the mixer truck before loading materials. Among them, the vehicle mass can be collected and recorded by using an existing vehicle weighing device, and can also be estimated by using an existing vehicle weight estimation device, etc.

[0061] In this embodiment, the working data of the superstructure components of the current vehicle refers to the relevant data when the superstructure components of the current vehicle are working. For example, when the current vehicle is a mixer truck, the corresponding working data of the superstructure components includes: the rotational speed of the mixer truck tank body, the reduction ratio of the reducer, and the mapping relationship between the load capacity and the turning radius pre-constructed. Among them, the rotational speed of the mixer truck tank body can be collected by using a pre-set rotational speed sensor; the reduction ratio of the reducer is a pre-recorded parameter related to the reducer; the turning radius of the mixer truck tank body is related to the load capacity of the mixer truck, and the turning radius corresponding to the current load capacity of the mixer truck can be queried from the pre-constructed mapping relationship between the load capacity and the turning radius.

[0062] In this embodiment, the remaining battery power of the current vehicle can be represented by the current SOC value of the battery (i.e., the state of charge). In this embodiment, the current SOC value of the battery can be obtained by using an existing battery SOC collection method. Since completely exhausting the battery power will seriously affect the battery life, therefore, in order to improve the battery life, a lower limit value of the battery power is pre-set. The power of the battery that is more than the lower limit value of the battery power is used as the available power of the battery. Usually, 10% - 20% of the total battery capacity is set as the lower limit value of the battery power. In this embodiment, it is preferably set that 15% of the total battery capacity is used as the lower limit value of the battery power.

[0063] S102. Determine the basic mileage energy consumption of the current vehicle and the on-board energy consumption of the current vehicle based on the vehicle's gross weight, vehicle driving data, and on-board component working data. The on-board energy consumption of the current vehicle is the additional loss other than the vehicle's cruising range.

[0064] Specifically, after obtaining the relevant data for assisting in predicting the cruising range through the above steps, it is necessary to calculate all the energy consumptions corresponding to each unit time of driving based on these data, specifically including: basic mileage energy consumption (i.e., the driving energy consumption per unit time of driving) and the additional energy consumption other than the cruising range. Among them, for a vehicle with on-board components, during driving, it not only has driving energy consumption but also on-board energy consumption. Therefore, the on-board energy consumption is the additional energy consumption other than the cruising range. Therefore, in this embodiment, it is necessary to calculate the basic mileage energy consumption and the on-board energy consumption. Among them, the basic mileage energy consumption is the driving energy consumption of the current vehicle per unit time of driving, and the on-board energy consumption is the on-board energy consumption generated by the work of the on-board components per unit time of driving of the current vehicle.

[0065] Further, this step specifically includes:

[0066] First, determine the cargo load of the current vehicle based on the wheel driving force, the resistance received by the wheels, the slope where the vehicle is located, the acceleration, and the vehicle's gross weight.

[0067] If the cargo load of the vehicle is different, then the on-board energy consumption and the basic mileage energy consumption are also different. Therefore, in this embodiment, it is necessary to first determine the cargo load of the current vehicle, and then calculate the on-board energy consumption of the current vehicle and the basic mileage energy consumption of the current vehicle. This embodiment uses the pre-obtained wheel driving force of the current vehicle, the resistance received by the wheels of the current vehicle, the slope where the current vehicle is located, the acceleration of the current vehicle, and the vehicle's gross weight of the current vehicle to calculate the cargo load of the current vehicle. Among them, relevant parameters are also needed for auxiliary calculation during the calculation process, such as the inertia coefficient, rolling resistance coefficient, etc. The calculation formula for the cargo load of the current vehicle is as follows:

[0068]

[0069] Where M 1 represents the cargo load, M 0 represents the vehicle's gross weight, F t represents the wheel driving force, F w represents the resistance received by the wheels, g represents the acceleration due to gravity, F r represents the rolling resistance coefficient, α represents the slope where the vehicle is located, λ represents the inertia coefficient, and a represents the acceleration.

[0070] For a mixer truck, since the loading of the mixer truck is often an integer, when the calculated load capacity is within the range of (Nm ± 3%), the load capacity can be directly taken as Nm, where N is a natural number integer and m is the load mass per cubic meter. According to the difference between dry and wet materials loaded by the mixer truck, the value of the load capacity is different. When the calculated load capacity is 1m, if dry materials are loaded, the actual load capacity of the current vehicle is less than 1m. At this time, the load capacity of the current vehicle is subtracted by a preset percentage. If wet materials are loaded, the actual load capacity of the current vehicle is greater than 1m. At this time, the load capacity of the current vehicle is added by a preset percentage.

[0071] Second, determine the upper mounting energy consumption of the current vehicle according to the load capacity and the working data of the upper mounting assembly.

[0072] In this embodiment, according to the pre - constructed mapping relationship between the load capacity and the turning radius included in the working data of the upper mounting assembly, the turning radius corresponding to the load capacity of the current vehicle is queried as the turning radius of the current vehicle. Then, according to this turning radius, the mixer truck tank rotation speed and the reduction gear ratio included in the working data of the upper mounting assembly, the upper mounting power of the current vehicle is calculated, and this upper mounting power is the upper mounting energy consumption of the current vehicle. The calculation formula for the upper mounting power of the current vehicle is as follows:

[0073]

[0074] Among them, P 0 represents the upper mounting power, n represents the mixer truck tank rotation speed, i represents the reduction gear ratio, and r represents the turning radius corresponding to the load capacity M 1 corresponding to.

[0075] Third, determine the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the load capacity, the driving energy consumption within a preset duration, and the preset duration.

[0076] In this embodiment, the cycle condition power consumption of the vehicle is the cycle condition unit mileage power consumption of the legally specified condition or the 40km / h constant speed unit mileage power consumption. In this embodiment, the cycle condition power consumptions corresponding to several different load capacities are pre - recorded. This embodiment can obtain the cycle condition power consumption corresponding to the load capacity of the current vehicle by performing interpolation processing on the load capacity of the current vehicle. This embodiment can calculate the basic mileage energy consumption of the current vehicle by using the cycle condition power consumption corresponding to the load capacity of the current vehicle, the driving energy consumption within a preset duration, and this preset duration.

[0077] Furthermore, this step specifically includes:

[0078] First, determine whether the driving target and driving route of the current vehicle are obtained.

[0079] If the driver of the current vehicle has pre-entered a driving target and determined a driving route to reach the driving target, the basic mileage energy consumption of the current vehicle can be determined based on the relevant data of historical driving. However, if the driving target and driving route of the current vehicle are uncertain, the relevant data of historical driving cannot be used to determine the basic mileage energy consumption of the current vehicle. Therefore, before determining the basic mileage energy consumption of the current vehicle, it is first necessary to determine whether the driving target and driving route of the current vehicle have been obtained. Among them, the driving route can be the driving route output by the map software connected to the current vehicle from the current location to the driving target.

[0080] Second, if the driving target and driving route of the current vehicle are obtained, the basic mileage energy consumption of the current vehicle is determined according to the historical energy consumption data matching the load capacity, driving target and driving route of the current vehicle.

[0081] If the driving target and driving route of the current vehicle are obtained, the energy consumption data in the historical driving data of the current vehicle recorded in the past big data can be extracted as the historical energy consumption data from the historical driving data matching the load capacity, driving target and driving route of the current vehicle. Then, big data statistical analysis is performed on the extracted historical energy consumption data to determine the basic mileage energy consumption of the current vehicle. Since the basic mileage energy consumption is statistically analyzed based on the historical energy consumption data matching the current driving route, taking into account the road congestion and uphill and downhill conditions in the driving route, the analyzed basic mileage energy consumption is more accurate.

[0082] Third, if the driving target and driving route of the current vehicle are not obtained, the basic mileage energy consumption of the current vehicle is determined according to the cycle condition power consumption corresponding to the load capacity, the driving energy consumption within a preset duration, and the preset duration.

[0083] If the driving target and driving route of the current vehicle are not obtained, then directly use the cycle condition power consumption corresponding to the load capacity of the current vehicle, the driving energy consumption within a preset duration, and the preset duration to calculate the basic mileage energy consumption of the current vehicle. In this embodiment, combining the cycle condition power consumption of the regulatory specified conditions and the driving energy consumption in the actual driving process, compared with only using the actual driving energy consumption or only using the cycle condition power consumption of the regulatory specified conditions to determine the basic mileage energy consumption of the current vehicle, the accuracy is higher. The specific calculation formula is as follows:

[0084]

[0085] Among them, P 1 represents the basic mileage energy consumption of the current vehicle, P 2 represents the cycle condition power consumption corresponding to the load capacity of the current vehicle, n represents the preset duration, such as n hours, ∑P nIndicates the driving energy consumption within a preset duration, such as the driving energy consumption in the previous n hours from the current moment.

[0086] S103. Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss.

[0087] Specifically, in this embodiment, the value obtained by subtracting the pre-recorded lower limit value of the battery power from the remaining battery power of the current vehicle is used as the available battery power of the current vehicle, and the sum of the basic mileage energy consumption of the current vehicle and the additional loss of the current vehicle is used as the total energy consumption of the current vehicle. The cruising range of the current vehicle is calculated using the available battery power of the current vehicle and the total energy consumption of the current vehicle. For example, if the total energy consumption of the current vehicle is the total energy consumption per unit mileage, then the available battery power of the current vehicle is divided by the total energy consumption per unit mileage to calculate the mileage that the available battery power of the current vehicle can still travel, that is, the cruising range. If the total energy consumption of the current vehicle is the total energy consumption per unit time, then the available battery power of the current vehicle is divided by the total energy consumption per unit time to calculate the duration that the available battery power of the current vehicle can still travel, and then according to the average speed of the current vehicle, the cruising range of the current vehicle can be predicted.

[0088] As can be seen from the above introduction, for the vehicle cruising range prediction method of the embodiments of the present application, vehicle driving data, upper mounting component working data, remaining battery power, pre-recorded vehicle mass, and pre-recorded lower limit value of the battery power of the current vehicle are obtained; according to the vehicle mass, vehicle driving data, and upper mounting component working data, the basic mileage energy consumption of the current vehicle and the upper mounting energy consumption of the current vehicle are determined, and the upper mounting energy consumption of the current vehicle is the additional loss other than the cruising range of the current vehicle; according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, the cruising range of the current vehicle is determined. By adopting the technical solution of this embodiment, the cruising range of the vehicle can be predicted in combination with the upper mounting energy consumption during the upper mounting work, avoiding the influence of the upper mounting work on the cruising range prediction, and improving the accuracy of the cruising range prediction of the vehicle.

[0089] Further, Figure 2 is a flowchart of another vehicle cruising range prediction method provided by the embodiments of the present application. As Figure 2 shown, before performing step S103, the vehicle cruising range prediction method of this embodiment further includes the following steps:

[0090] S203. Obtain the temperature data of the current vehicle and the driving duration of the current vehicle.

[0091] Specifically, in addition to the energy consumption of the superstructure, the additional losses of the current vehicle other than the cruising range also include the air-conditioning energy consumption. To determine the air-conditioning energy consumption, it is necessary to obtain the temperature data of the current vehicle and the driving duration of the current vehicle. Among them, the temperature data of the current vehicle includes: the in-vehicle temperature, the out-vehicle temperature, and the set temperature set by the driver. The in-vehicle temperature is collected by a temperature sensor installed inside the vehicle, the out-vehicle temperature is collected by a temperature sensor installed outside the vehicle, and the set temperature is the temperature input by the driver collected through a temperature input device. For those with a known driving destination, the driving duration of the current vehicle to reach the destination can be determined according to the driving mileage between the current location and the destination. Among them, the driving duration can be calculated according to the driving mileage between the current location and the destination and the average vehicle speed of the current vehicle, or the driving duration estimated by the map software set on the current vehicle can be directly obtained. For the case where the driving destination is unknown, a default value of the driving duration can be preset and used as the driving duration of the current vehicle.

[0092] S204. Query the air-conditioning energy consumption corresponding to the temperature data of the current vehicle from the pre-constructed mapping relationship between temperature and air-conditioning energy consumption.

[0093] Specifically, in this embodiment, a multi-dimensional simulation model is pre-constructed according to the relevant parameters of the current vehicle (such as in-vehicle temperature, out-vehicle temperature, set temperature, cockpit size, air-conditioning fan efficiency, plate heat exchanger area, pipeline loss, etc.). Among them, the parameters such as the cockpit size of the current vehicle, the air-conditioning fan efficiency of the current vehicle, the air-conditioning plate heat exchanger area of the current vehicle, and the air-conditioning pipeline loss of the current vehicle are fixed parameters. Therefore, the air-conditioning energy consumption table corresponding to the fixed parameters of the current vehicle can be calculated using this simulation model. Among them, the air-conditioning energy consumption table is the air-conditioning energy consumption corresponding to different in-vehicle temperatures, different out-vehicle temperatures, and different set temperatures under the fixed parameters of the current vehicle. This air-conditioning energy consumption table is the mapping relationship between temperature and air-conditioning energy consumption. In this embodiment, the air-conditioning energy consumption corresponding to the in-vehicle temperature, out-vehicle temperature, and set temperature of the current vehicle can be queried from the mapping relationship between temperature and air-conditioning energy consumption.

[0094] S205. Take the ratio between the air-conditioning energy consumption of the current vehicle and the driving duration of the current vehicle as the basic air-conditioning energy consumption of the current vehicle. The basic air-conditioning energy consumption of the current vehicle and the energy consumption of the superstructure of the current vehicle are both additional losses of the current vehicle other than the cruising range.

[0095] In this embodiment, the basic mileage energy consumption of the current vehicle and the additional energy consumption of the current vehicle other than the endurance are both the basic energy consumption of the current vehicle. Since the basic energy consumption corresponding to the air-conditioning energy consumption of the current vehicle also needs to be determined, the value obtained by dividing the air-conditioning energy consumption of the current vehicle by the driving duration of the current vehicle is used as the basic air-conditioning energy consumption of the current vehicle. Then, the upfit energy consumption of the current vehicle and the basic air-conditioning energy consumption of the current vehicle are both used as the additional energy consumption of the current vehicle other than the endurance.

[0096] In this embodiment, the execution order between step S201 to step S202 and step S203 to step S204 is not limited in this embodiment. That is, step S201 to step S202 can be executed first, and then step S203 to step S204 can be executed; or step S203 to step S204 can be executed first, and then step S201 to step S202 can be executed; or step S201 to step S202 and step S203 to step S204 can be executed simultaneously.

[0097] Figure 2 The steps S201 to S202 shown are Figure 1 the same as the steps S101 to S102 shown, Figure 2 the step S206 shown is Figure 1 the same as the step S103 shown. The execution contents of steps S201, S202, and S206 are not specifically elaborated in this embodiment.

[0098] Furthermore, Figure 3 is a flowchart of another vehicle endurance prediction method provided by an embodiment of the present application. As Figure 3 shown, for the vehicle endurance prediction method of this embodiment, before executing step S103, the following steps are further included:

[0099] S303. According to the pre-constructed mapping relationship between temperature and battery correction coefficient and the pre-obtained outside temperature of the current vehicle, query the battery correction coefficient corresponding to the outside temperature.

[0100] Specifically, the ambient temperature of the vehicle battery is the outside temperature of the vehicle, and the battery is affected by the temperature, which in turn affects the battery's power storage capacity. For example, the battery's power storage capacity is higher when the weather is warmer than when it is colder. Therefore, in order to improve the accuracy of predicting the cruising range, this embodiment needs to consider the influence of the outside temperature on the battery and pre - construct a mapping relationship between the temperature and the battery correction coefficient. The battery correction coefficient corresponding to a certain temperature is the ratio of the actual battery power to the calculated battery power under the environment of that temperature. For example, when the outside temperature is - 5°C, the corresponding battery correction coefficient is 0.95; when the outside temperature is - 10°C, the corresponding battery correction coefficient is 0.9; when the outside temperature is - 15°C, the corresponding battery correction coefficient is 0.88, etc. This embodiment needs to query the battery correction coefficient corresponding to the current outside temperature of the vehicle from the pre - constructed mapping relationship between the temperature and the battery correction coefficient.

[0101] S304. Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient.

[0102] Specifically, in order to improve the accuracy of predicting the cruising range, when predicting the cruising range, it is necessary to consider the battery correction coefficient corresponding to the current outside temperature. That is, according to the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient, determine the cruising range of the current vehicle. The specific steps are as follows:

[0103] First, take the difference between the remaining battery power of the current vehicle and the pre - recorded lower limit of the battery power, multiply the obtained value by the battery correction coefficient of the current vehicle as the available battery power of the current vehicle, and take the sum of the basic mileage energy consumption of the current vehicle and the additional loss of the current vehicle as the total energy consumption of the current vehicle;

[0104] Second, take the ratio of the available battery power of the current vehicle to the total energy consumption of the current vehicle as the cruising range of the current vehicle.

[0105] Steps S303 and S304 of this solution can also be executed Figure 2 after step S204 in

[0106] When the additional loss includes the upper - loading energy consumption and the basic air - conditioning energy consumption, the calculation formula for the cruising range of the current vehicle is as follows:

[0107]

[0108] Among them, D represents the cruising range, SOC 1 represents the remaining battery power, SOC 0 represents the lower limit of the battery power, P oIndicates the upper body energy consumption in the additional loss, P 1 Indicates the energy consumption for the basic mileage, P 2 Indicates the basic air-conditioning energy consumption in the additional loss, and η represents the battery correction coefficient.

[0109] Figure 3 The steps S301 - S302 shown in Figure 1 are the same as the steps S101 - S102 shown in

[0110] Furthermore, Figure 4 is a schematic diagram of the processing flow for determining the available duration of the upper body of the current vehicle provided by the embodiment of the present application. As Figure 4 shown, the vehicle endurance mileage prediction method of this embodiment further includes the following steps:

[0111] S401: Multiply the difference between the remaining battery power and the lower limit of the battery power by the battery correction coefficient, and use the obtained value as the available battery power of the current vehicle.

[0112] S402: Use the ratio of the available battery power of the current vehicle to the upper body energy consumption of the current vehicle as the available duration of the upper body of the current vehicle.

[0113] In this embodiment, the available duration of the upper body of the current vehicle is the working duration when only using the available battery power of the current vehicle for upper body work. The available battery power of the current vehicle is calculated using the battery correction coefficient of the current vehicle. Therefore, the influence of the external temperature on the battery's power storage capacity is considered, improving the accuracy of predicting the available duration of the upper body. Among them, the calculation formula for the available duration T of the upper body of the current vehicle is:

[0114]

[0115] Furthermore, the vehicle endurance mileage prediction method of this embodiment further includes the following steps:

[0116] First, obtain the distance between the charging and swapping station within the endurance mileage of the current vehicle and the current vehicle.

[0117] Specifically, after predicting the endurance mileage of the current vehicle, the charging and swapping stations within this endurance mileage searched by a pre-set map software can also be obtained, so as to obtain the distance between the charging and swapping station and the current vehicle. The charging and swapping stations within the endurance mileage refer to the distance from the current position of the current vehicle to the charging and swapping station being less than the predicted endurance mileage of the current vehicle, thereby ensuring that the current vehicle can search for a charging and swapping station that the current vehicle can drive to in time for vehicle energy storage when the endurance mileage is relatively small.

[0118] Second, output the remaining mileage of the current vehicle and the distance to the charging and swapping station.

[0119] In this embodiment, the remaining mileage of the current vehicle and the distance to the charging and swapping station can be output for the driver to view. The driving route to the charging and swapping station can also be output to facilitate the driver to drive to the charging and swapping station according to the driving route to charge the current vehicle. If there are multiple charging and swapping stations within the remaining mileage of the current vehicle, this embodiment can also output the driving routes and the distances to the charging and swapping stations of multiple charging and swapping stations for the driver to select the target charging and swapping station by himself.

[0120] In addition, this embodiment can also output the available duration of the upper body when the current vehicle only performs the upper body work, so as to avoid sudden stops during the upper body work. Among them, the remaining mileage of the current vehicle, the distance to the charging and swapping station of the current vehicle, and the available time of the upper body of the current vehicle can all be output to the human-machine interaction device to display these data to the driver.

[0121] Corresponding to the above vehicle remaining mileage prediction method, an embodiment of the present application also proposes a vehicle remaining mileage prediction device. Figure 5 It is a schematic structural diagram of a vehicle remaining mileage prediction device provided by an embodiment of the present application. As Figure 5 shown, the vehicle remaining mileage prediction device of this embodiment includes:

[0122] An acquisition module 100, configured to acquire the vehicle driving data, upper body component working data, remaining battery power, pre-recorded vehicle mass, and pre-recorded lower limit value of battery power of the current vehicle;

[0123] An energy consumption determination module 110, configured to determine the basic mileage energy consumption and the upper body energy consumption of the current vehicle according to the vehicle mass, vehicle driving data, and upper body component working data, where the upper body energy consumption of the current vehicle is the additional loss other than the remaining mileage of the current vehicle;

[0124] A remaining mileage determination module 120, configured to determine the remaining mileage of the current vehicle according to the remaining battery power, lower limit value of battery power, basic mileage energy consumption, and additional loss.

[0125] The vehicle cruising range prediction device proposed in the embodiment of the present application. The acquisition module 100 acquires the vehicle driving data, the working data of the superstructure assembly, the remaining battery power, the pre-recorded vehicle mass, and the pre-recorded lower limit value of the battery power of the current vehicle. The energy consumption determination module 110 determines the basic mileage energy consumption of the current vehicle and the superstructure energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data, and the working data of the superstructure assembly. The superstructure energy consumption of the current vehicle is the additional loss other than the cruising range of the current vehicle. The cruising range determination module 120 determines the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss. By adopting the technical solution of this embodiment, the superstructure energy consumption during the operation of the superstructure can be combined to predict the cruising range of the vehicle, avoiding the influence of the superstructure work on the cruising range prediction and improving the accuracy of the cruising range prediction of the vehicle.

[0126] Further, in the vehicle cruising range prediction device of this embodiment, the vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, vehicle slope, acceleration, and driving energy consumption within a preset duration.

[0127] The energy consumption determination module 110 includes: a cargo load calculation unit, a superstructure energy consumption calculation unit, and a basic mileage energy consumption calculation unit;

[0128] The cargo load calculation unit is used to determine the cargo load of the current vehicle according to the wheel driving force, the wheel resistance, the vehicle slope, the acceleration, and the vehicle mass.

[0129] The superstructure energy consumption calculation unit is used to determine the superstructure energy consumption of the current vehicle according to the cargo load and the working data of the superstructure assembly.

[0130] The basic mileage energy consumption calculation unit is used to determine the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within a preset duration, and the preset duration.

[0131] Further, in the vehicle cruising range prediction device of this embodiment, the basic mileage energy consumption calculation unit is specifically used for:

[0132] Judging whether the driving target and driving route of the current vehicle are acquired;

[0133] If the driving target and driving route of the current vehicle are acquired, the basic mileage energy consumption of the current vehicle is determined according to the historical energy consumption data matching the cargo load, the driving target, and the driving route of the current vehicle;

[0134] If the driving target and driving route of the current vehicle are not acquired, the basic mileage energy consumption of the current vehicle is determined according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within a preset duration, and the preset duration.

[0135] Further, the vehicle endurance mileage prediction device of this embodiment further includes: a first query module and an air-conditioning basic energy consumption calculation module;

[0136] The acquisition module 100 is further configured to acquire the temperature data of the current vehicle and the driving duration of the current vehicle; wherein, the temperature data includes: the in-vehicle temperature, the set temperature, and the out-of-vehicle temperature;

[0137] The first query module is configured to query the air-conditioning energy consumption corresponding to the temperature data of the current vehicle from the pre-constructed mapping relationship between temperature and air-conditioning energy consumption;

[0138] The air-conditioning basic energy consumption calculation module is configured to use the ratio between the air-conditioning energy consumption of the current vehicle and the driving duration of the current vehicle as the air-conditioning basic energy consumption of the current vehicle. Both the air-conditioning basic energy consumption of the current vehicle and the upfitting energy consumption of the current vehicle are additional losses of the current vehicle other than endurance.

[0139] Further, the vehicle endurance mileage prediction device of this embodiment further includes: a second query module;

[0140] The second query module is configured to query the battery correction coefficient corresponding to the out-of-vehicle temperature according to the pre-constructed mapping relationship between temperature and battery correction coefficient and the pre-acquired out-of-vehicle temperature of the current vehicle;

[0141] The endurance determination module 120 is configured to determine the endurance mileage of the current vehicle according to the remaining battery power, the battery power lower limit value, the basic mileage energy consumption, the additional loss, and the battery correction coefficient.

[0142] Further, in the vehicle endurance mileage prediction device of this embodiment, the endurance determination module 120 is specifically configured to:

[0143] Use the value obtained by multiplying the difference between the remaining battery power and the battery power lower limit value by the battery correction coefficient as the available battery power of the current vehicle, and use the sum of the basic mileage energy consumption and the additional loss as the total energy consumption of the current vehicle;

[0144] Use the ratio between the available battery power of the current vehicle and the total energy consumption of the current vehicle as the endurance mileage of the current vehicle.

[0145] Further, the vehicle endurance mileage prediction device of this embodiment further includes: an available battery power calculation module and an upfitting available duration calculation module;

[0146] The available battery power calculation module is configured to use the value obtained by multiplying the difference between the remaining battery power and the battery power lower limit value by the battery correction coefficient as the available battery power of the current vehicle;

[0147] The upper equipment available duration calculation module is used to take the ratio between the available battery power of the current vehicle and the upper equipment energy consumption of the current vehicle as the upper equipment available duration of the current vehicle, where the upper equipment available duration is the working duration when only using the available battery power of the current vehicle for upper equipment work.

[0148] Further, the vehicle cruising range prediction device of this embodiment further includes: an output module.

[0149] The acquisition module 100 is further used to acquire the charging and swapping station distance between the charging and swapping stations within the cruising range of the current vehicle and the current vehicle;

[0150] The output module is used to output the cruising range of the current vehicle and the charging and swapping station distance.

[0151] The vehicle cruising range prediction device provided in this embodiment belongs to the same inventive concept as the vehicle cruising range prediction method provided in the embodiments of the present application, and can execute the vehicle cruising range prediction method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects for executing the vehicle cruising range prediction method. The technical details not described in detail in this embodiment can be referred to the vehicle cruising range prediction method provided in the embodiments of the present application, and will not be elaborated here.

[0152] Figure 6 It is a schematic structural diagram of a vehicle cruising range prediction device provided in the embodiments of the present application. As Figure 6 shown, this embodiment further provides a vehicle cruising range prediction device, including: a memory 200 and a processor 210;

[0153] Among them, the memory 200 is connected to the processor 210 and is used to store programs;

[0154] The processor 210 is used to implement the vehicle cruising range prediction method disclosed in any of the above embodiments by running the programs stored in the memory 200.

[0155] Specifically, the above vehicle cruising range prediction device may further include: a bus, a communication interface 220, an input device 230, and an output device 240.

[0156] The processor 210, the memory 200, the communication interface 220, the input device 230, and the output device 240 are interconnected through the bus. Among them: The bus may include a path for transmitting information between various components of the computer system.

[0157] The processor 210 may be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or may be an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the solution of the present invention. It may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0158] The processor 210 may include a main processor, and may also include a baseband chip, a modem, etc.

[0159] The memory 200 stores a program for executing the technical solution of the present invention, and may also store an operating system and other key services. Specifically, the program may include program code, and the program code includes computer operation instructions. More specifically, the memory 200 may include a read-only memory (ROM), other types of static storage devices that can store static information and instructions, a random access memory (RAM), other types of dynamic storage devices that can store information and instructions, a disk memory, a flash memory, etc.

[0160] The input device 230 may include a device for receiving user input data and information, such as a keyboard, a mouse, a camera, a scanner, a light pen, a voice input device, a touch screen, a pedometer or a gravity sensor, etc.

[0161] The output device 240 may include a device for allowing output of information to the user, such as a display screen, a printer, a speaker, etc.

[0162] The communication interface 220 may include a device of any transceiver type for communicating with other devices or communication networks, such as Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc.

[0163] The processor 210 executes the program stored in the memory 200 and calls other devices, which can be used to implement each step of the vehicle endurance prediction method provided by the embodiments of the present application.

[0164] Another embodiment of the present application further provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each step of the vehicle endurance prediction method provided by any of the above embodiments.

[0165] Figure 7 is a schematic structural diagram of a work machine provided by the embodiments of the present application, as Figure 7As shown in the figure, another embodiment of the present application further provides a construction machine, which includes: a sensor cluster, a vehicle body 31, an upper-mounted component 32, and the vehicle cruising range prediction device provided in the above embodiment. Among them, the vehicle body 31 is connected to the upper-mounted component 32, and the sensors in the sensor cluster are arranged on the vehicle body 31 or the upper-mounted component 32. Among them, the sensors in the sensor cluster include: a temperature sensor, a speed sensor, a gyroscope, etc. The temperature sensor includes a temperature sensor arranged inside the vehicle and a temperature sensor arranged outside the vehicle. The vehicle cruising range prediction device is connected to the sensors in the sensor cluster and receives the relevant data collected by each sensor.

[0166] The basic principles of the present application have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, advantages, effects, etc. mentioned in the present application are only examples and not limitations. It cannot be considered that these advantages, advantages, effects, etc. are essential for each embodiment of the present application. In addition, the above-disclosed specific details are only for the purpose of illustration and facilitating understanding, rather than limitations. The above details do not limit the present application to necessarily adopt the above specific details to implement.

[0167] The block diagrams of the devices, apparatuses, equipment, and systems involved in the present application are only illustrative examples and do not intend to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open-ended words, meaning "including but not limited to", and can be used interchangeably with each other. The words "or" and "and" used herein refer to the word "and / or" and can be used interchangeably with each other, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to" and can be used interchangeably with each other.

[0168] It should also be noted that in the devices, equipment, and methods of the present application, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present application.

[0169] The above description of the disclosed aspects enables any person skilled in the art to make or use the present application. Various modifications to these aspects are very obvious to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

[0170] It should be understood that the qualifiers "first", "second", "third", "fourth", "fifth" and "sixth" used in the description of the embodiments of the present application are only for more clearly elaborating the technical solutions and cannot be used to limit the protection scope of the present application.

[0171] The above description has been given for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub - combinations thereof.

Claims

1. A method for predicting the cruising range of a vehicle, characterized in that, it includes: Obtain the vehicle driving data, the working data of the superstructure components, the remaining battery power, the pre-recorded vehicle mass, and the pre-recorded lower limit value of the battery power of the current vehicle. The vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, slope where the vehicle is located, acceleration, and driving energy consumption within a preset duration; According to the vehicle mass, the vehicle driving data, and the working data of the superstructure components, determine the basic mileage energy consumption and the superstructure energy consumption of the current vehicle, including: determine the cargo load of the current vehicle according to the wheel driving force, the wheel resistance, the slope where the vehicle is located, the acceleration, and the vehicle mass; determine the superstructure energy consumption of the current vehicle according to the cargo load and the working data of the superstructure components; determine the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within the preset duration, and the preset duration; the superstructure energy consumption of the current vehicle is the additional loss other than the cruising range of the current vehicle; According to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, determine the cruising range of the current vehicle.

2. The method according to claim 1, characterized in that, Determine the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within the preset duration, and the preset duration, including: Judge whether the driving target and driving route of the current vehicle are obtained; If the driving target and driving route of the current vehicle are obtained, then determine the basic mileage energy consumption of the current vehicle according to the historical energy consumption data matching the cargo load, driving target, and driving route of the current vehicle; If the driving target and driving route of the current vehicle are not obtained, then determine the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within the preset duration, and the preset duration.

3. The method according to claim 1, characterized in that, Before determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, it further includes: Obtain the temperature data of the current vehicle and the driving duration of the current vehicle; wherein, the temperature data includes: interior temperature, set temperature, and exterior temperature; Query the air-conditioning energy consumption corresponding to the temperature data of the current vehicle from the pre-constructed mapping relationship between temperature and air-conditioning energy consumption; Take the ratio between the air-conditioning energy consumption of the current vehicle and the driving duration of the current vehicle as the basic air-conditioning energy consumption of the current vehicle. Both the basic air-conditioning energy consumption of the current vehicle and the superstructure energy consumption of the current vehicle are the additional losses other than the cruising range of the current vehicle.

4. The method according to claim 1, characterized in that, Before determining the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, it further includes: Query the battery correction coefficient corresponding to the outside temperature of the vehicle according to the pre - constructed mapping relationship between temperature and battery correction coefficient and the pre - obtained outside temperature of the current vehicle; Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss, including: Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient.

5. The method according to claim 4, wherein, Determine the cruising range of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, the additional loss, and the battery correction coefficient, including: Take the value obtained by multiplying the difference between the remaining battery power and the lower limit value of the battery power by the battery correction coefficient as the available battery power of the current vehicle, and take the sum of the basic mileage energy consumption and the additional loss as the total energy consumption of the current vehicle; Take the ratio between the available battery power of the current vehicle and the total energy consumption of the current vehicle as the cruising range of the current vehicle.

6. The method according to claim 4, wherein, further comprising: Take the value obtained by multiplying the difference between the remaining battery power and the lower limit value of the battery power by the battery correction coefficient as the available battery power of the current vehicle; Take the ratio between the available battery power of the current vehicle and the on - vehicle equipment energy consumption of the current vehicle as the available on - vehicle equipment duration, where the available on - vehicle equipment duration is the working duration when only using the available battery power of the current vehicle for on - vehicle equipment work.

7. The method according to claim 1, wherein, further comprising: Obtain the charging and swapping station distance between the charging and swapping station within the cruising range of the current vehicle and the current vehicle; Output the cruising range of the current vehicle and the charging and swapping station distance.

8. A vehicle cruising range prediction device, wherein, comprising: An acquisition module, configured to acquire the vehicle driving data of the current vehicle, the on - vehicle equipment component working data, the remaining battery power, the pre - recorded vehicle mass, and the pre - recorded lower limit value of the battery power. The vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, vehicle slope, acceleration, and driving energy consumption within a preset duration; An energy consumption determination module, configured to determine the basic mileage energy consumption and the bodywork energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data, and the bodywork component working data, including: determining the cargo load of the current vehicle according to the wheel driving force, the resistance received by the wheels, the slope where the vehicle is located, the acceleration, and the vehicle mass; determining the bodywork energy consumption of the current vehicle according to the cargo load and the bodywork component working data; determining the basic mileage energy consumption of the current vehicle according to the cycle condition power consumption corresponding to the cargo load, the driving energy consumption within the preset duration, and the preset duration; the bodywork energy consumption of the current vehicle is used as the additional loss of the current vehicle other than the endurance mileage. An endurance mileage determination module, configured to determine the endurance mileage of the current vehicle according to the remaining battery power, the lower limit value of the battery power, the basic mileage energy consumption, and the additional loss.

9. A vehicle endurance mileage prediction device characterized in that it includes: a memory and a processor; wherein, the memory is connected to the processor and is used for storing programs; the processor is configured to implement the vehicle endurance mileage prediction method according to any one of claims 1 to 7 by running the programs in the memory.

10. A construction machine characterized in that it includes: a sensor cluster, a vehicle body, a bodywork component, and the vehicle endurance mileage prediction device according to claim 9; the vehicle body is connected to the bodywork component; the sensors in the sensor cluster are arranged on the vehicle body or the bodywork component; the vehicle endurance mileage prediction device is connected to the sensors in the sensor cluster.

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