WO2024113733A1 - Vehicle driving range prediction method, apparatus and device, and operation machinery - Google Patents

Abstract

Provided in the present application are a vehicle driving range prediction method, apparatus and device, and operation machinery. The method comprises: acquiring vehicle traveling data of the current vehicle, working data of installed assemblies, the remaining battery power, a pre-recorded vehicle quality and a pre-recorded battery power lower limit value; according to the vehicle quality, the vehicle traveling data and the working data of the installed assemblies, determining the basic mileage energy consumption of the current vehicle and the energy consumption of the installed assemblies of the current vehicle, and using the energy consumption of the installed assemblies of the current vehicle as an additional loss other than energy used for driving the current vehicle; and determining the driving range of the current vehicle according to the remaining battery power, the battery power lower limit value, the basic mileage energy consumption and the additional loss. By using the technical solution of the present application, the driving range of a vehicle can be predicted on the basis of the energy consumption of installed assemblies when the installed assemblies operate, thereby preventing the work of the installed assemblies from affecting the prediction of the driving range, and improving the accuracy of predicting the driving range of the vehicle.

Description

Vehicle cruising range prediction method, device, equipment and operating machinery Technical Field

The present application relates to the technical field of electric vehicles, and in particular to a vehicle range prediction method, device, equipment and operating machinery.

Background of the Invention

The cruising range, also known as the cruising capacity, refers to the total distance that a vehicle such as a car or ship can travel continuously with the current fuel reserve. The cruising range of an electric vehicle refers to the distance that the electric vehicle can travel with the current power of the power battery on the electric vehicle. During the driving process, the prediction of the cruising range for the driver can remind the driver of the remaining mileage that can be traveled with the current remaining energy, so that the driver can store energy for the vehicle in time to avoid the vehicle running out of energy during driving.

At present, most electric vehicles on the market generally predict the range of their vehicles based on the amount of electricity stored in the vehicle and the average energy consumption level of the vehicle, roughly estimating the mileage that the vehicle's stored electricity can support. However, during the driving process of the vehicle, different external conditions will affect the actual range of the vehicle. The range predicted by the existing method is quite different from the actual range of the vehicle, and the accuracy of the vehicle's range prediction is low.

Summary of the invention

In view of this, the embodiments of the present application are committed to providing a vehicle range prediction method, device, equipment and operating machinery to solve the problem of low accuracy in vehicle range prediction in the prior art.

On the one hand, the present application provides a vehicle range prediction method, comprising:

Obtaining the vehicle driving data, upper component working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit value of the current vehicle;

Determine the basic mileage energy consumption of the current vehicle and the upper-body energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper-body component working data, where the upper-body energy consumption of the current vehicle is the additional loss of the current vehicle other than the endurance;

The cruising range of the current vehicle is determined according to the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption and the additional loss.

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 time;

Wherein, determining the basic mileage energy consumption of the current vehicle and the upper component energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper component working data includes:

Determining the cargo capacity of the current vehicle according to the wheel driving force, the resistance of the wheel, the slope of the vehicle, the acceleration and the vehicle mass;

Determining the upper body energy consumption of the current vehicle according to the cargo capacity and the upper body component working data;

The basic mileage energy consumption of the current vehicle is determined according to the cycle operating condition power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period, and the preset time period.

Optionally, determining the basic mileage energy consumption of the current vehicle according to the cycle power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time, and the preset time includes:

Determine whether the current vehicle's driving target and driving route are obtained;

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 cargo capacity, driving target and driving route of the current vehicle;

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 operating power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period and the preset time period.

Optionally, before determining 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, and the additional loss, the method further includes:

Acquire the temperature data of the current vehicle and the driving time of the current vehicle; wherein the temperature data includes: the temperature inside the vehicle, the set temperature and the temperature outside the vehicle;

Querying the air conditioning energy consumption corresponding to the temperature data of the current vehicle from a pre-built mapping relationship between temperature and air conditioning energy consumption;

The ratio of the air-conditioning energy consumption of the current vehicle to the driving time of the current vehicle is taken as the basic air-conditioning energy consumption of the current vehicle, and the basic air-conditioning energy consumption of the current vehicle and the upper equipment energy consumption of the current vehicle are both taken as the additional loss of the current vehicle except for the cruising range.

Optionally, before determining 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, and the additional loss, the method further includes:

According to the pre-established mapping relationship between temperature and battery correction coefficient and the pre-acquired current vehicle external temperature, querying the battery correction coefficient corresponding to the external temperature;

Wherein, determining 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 and the additional loss includes:

The cruising range of the current vehicle is determined 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 factor.

Optionally, determining 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 factor includes:

The difference between the remaining battery power and the lower limit of the battery power is multiplied by the battery correction coefficient to obtain a value as the available battery power of the current vehicle, and the sum of the basic mileage energy consumption and the additional loss is taken as the total energy consumption of the current vehicle;

The ratio between the available power of the battery of the current vehicle and the total energy consumption of the current vehicle is used as the cruising range of the current vehicle.

Optionally, the method further includes:

The difference between the remaining battery power and the lower limit of the battery power is multiplied by the battery correction coefficient to obtain a value as the available battery power of the current vehicle;

The ratio between the available power of the battery of the current vehicle and the energy consumption of the upper body of the current vehicle is used as the available time of the upper body of the current vehicle, wherein the available time of the upper body is the working time when the upper body is operated only by using the available power of the battery of the current vehicle.

Optionally, the method further includes:

Obtaining the distance between a charging and swapping station within the cruising range of the current vehicle and the charging and swapping station between the current vehicle;

Output the current vehicle's cruising range and the distance to the charging and swapping station.

Another aspect of the present application provides a vehicle range prediction device, comprising:

An acquisition module, used to acquire the vehicle driving data, upper assembly working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit value of the current vehicle;

An energy consumption determination module, used to determine the basic mileage energy consumption and the upper body energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper body component working data, and the upper body energy consumption of the current vehicle is used as the additional loss of the current vehicle in addition to the endurance;

The cruising range determination module is used to determine the cruising 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.

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 time;

Wherein, the energy consumption determination module includes:

a cargo capacity calculation unit, configured to determine the cargo capacity of the current vehicle according to the wheel driving force, the resistance of the wheel, the slope of the vehicle, the acceleration and the vehicle mass;

A bodywork energy consumption calculation unit, used to determine the bodywork energy consumption of the current vehicle according to the cargo capacity and the working data of the bodywork components;

The basic mileage energy consumption calculation unit is used to determine the basic mileage energy consumption of the current vehicle according to the cycle operating condition power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period and the preset time period.

Optionally, the basic mileage energy consumption calculation unit is used to:

Determine whether the current vehicle's driving target and driving route are obtained;

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 cargo capacity, driving target and driving route of the current vehicle;

If the driving target and driving route of the current vehicle are not obtained, then the vehicle is The basic mileage energy consumption of the current vehicle is determined by the cycle operating condition power consumption, the driving energy consumption within the preset time period, and the preset time period.

Optionally, the acquisition module is further used to acquire temperature data of the current vehicle and the driving time of the current vehicle; wherein the temperature data includes: the temperature inside the vehicle, the set temperature and the temperature outside the vehicle;

Wherein, the device further comprises:

A first query module, configured to query the air conditioning energy consumption corresponding to the temperature data of the current vehicle from a pre-constructed mapping relationship between temperature and air conditioning energy consumption;

The air-conditioning basic energy consumption calculation module is used to take the ratio between the air-conditioning energy consumption of the current vehicle and the driving time of the current vehicle as the air-conditioning basic energy consumption of the current vehicle. The air-conditioning basic energy consumption of the current vehicle and the upper equipment energy consumption of the current vehicle are both additional losses of the current vehicle other than the cruising range.

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

Wherein, the memory is connected to the processor and is used to store programs;

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

Another aspect of the present application provides a work machine, including: a sensor cluster, a vehicle body, a body assembly, and a vehicle range prediction device;

The vehicle body is connected to the upper assembly;

The sensors in the sensor cluster are arranged on the vehicle body or the upper assembly;

The vehicle range prediction device is connected to the sensors in the sensor cluster.

Another aspect of the present application provides a computer-readable storage medium, which stores a computer program for executing the above-mentioned vehicle range prediction method.

According to the vehicle range prediction method provided by the present application, the vehicle driving data, upper component working data, remaining battery power, pre-recorded vehicle mass and pre-recorded lower limit of battery power of the current vehicle are obtained; according to the vehicle mass, vehicle driving data and upper component working data, the basic mileage energy consumption of the current vehicle and the upper component energy consumption of the current vehicle are determined, and the upper component energy consumption of the current vehicle is the additional loss of the current vehicle other than the range; according to the remaining battery power, the lower limit of battery power, the basic mileage energy consumption and the additional loss, the range of the current vehicle is determined. By adopting the technical solution of the present application, the vehicle's range can be predicted in combination with the upper component energy consumption during the upper component work, avoiding the influence of the upper component work on the prediction of range, and improving the accuracy of the prediction of the vehicle's range.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only a brief description of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

FIG1 is a flow chart of a vehicle range prediction method provided in an embodiment of the present application.

FIG2 is a flow chart of another vehicle range prediction method provided in an embodiment of the present application.

FIG3 is a flow chart of another vehicle range prediction method provided in an embodiment of the present application.

FIG. 4 is a schematic diagram of a processing flow for determining the available time for loading on the current vehicle provided in an embodiment of the present application.

FIG5 is a schematic diagram of the structure of a vehicle range prediction device provided in an embodiment of the present application.

FIG6 is a schematic diagram of the structure of a vehicle range prediction device provided in an embodiment of the present application.

FIG. 7 is a schematic diagram of the structure of a working machine provided in an embodiment of the present application.

Mode for Carrying Out the Invention

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

FIG1 is a flow chart of a vehicle cruising range prediction method provided in an embodiment of the present application. As shown in FIG1 , the vehicle cruising range prediction method of the present embodiment is applied to electric vehicles, and the specific steps include:

S101, obtaining vehicle driving data, upper assembly working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit value of the current vehicle.

During the driving process of the vehicle, the driver can determine whether the vehicle can reach the destination, whether it needs to store energy for the vehicle during the journey, etc. based on the vehicle's current range. Therefore, it is particularly important to predict the vehicle's range.

Specifically, in order to predict the cruising range of the current vehicle, it is necessary to obtain corresponding data that can assist in the prediction. This embodiment requires obtaining the vehicle driving data, upper component working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit of the current vehicle.

In this embodiment, the vehicle driving data of the current vehicle includes: the wheel driving force of the current vehicle, the resistance of the wheels of the current vehicle, the slope of the current vehicle, the acceleration of the current vehicle and the driving energy consumption of the current vehicle within a preset time period. Among them, since the wheel driving force and the resistance of the wheels of the vehicle are related to the driving speed of the vehicle, the wheel driving force of the current vehicle and the resistance of the wheels of the current vehicle are converted according to the speed of the current vehicle, and the speed of the current vehicle can be collected by a preset rotation speed sensor or a speed sensor; the slope of the current vehicle can be collected by a preset gyroscope; the acceleration of the current vehicle can be collected by a preset acceleration sensor; the driving energy consumption of the current vehicle within a preset time period is the energy consumption for vehicle driving within a preset time period before the current moment recorded during the driving process of the current vehicle.

In this embodiment, the pre-recorded vehicle mass of the current vehicle refers to the net mass of the vehicle when it is unloaded, such as the vehicle mass of a mixer truck is the net mass of the mixer truck before loading materials. The vehicle mass can be collected and recorded using an existing vehicle weighing device, and the vehicle mass can also be estimated using an existing vehicle weight estimation device.

In this embodiment, the upper component working data of the current vehicle refers to the relevant data of the upper component of the current vehicle when it is working. For example, when the current vehicle is a mixer truck, the corresponding upper component working data includes: the mixer truck tank body speed, the speed ratio of the reducer, and the pre-constructed mapping relationship between the cargo capacity and the turning radius. Among them, the tank body speed of the mixer truck can be collected using a pre-set speed sensor; the speed ratio of the reducer is a pre-recorded reducer related parameter; the turning radius of the mixer truck tank body is related to the cargo capacity of the mixer truck, and the turning radius corresponding to the current cargo capacity of the mixer truck can be queried from the pre-constructed mapping relationship between the cargo capacity and the turning radius.

In this embodiment, the remaining battery power of the current vehicle can be represented by the current SOC value (i.e., state of charge) of the battery. In this embodiment, the current SOC value of the battery can be obtained by using the existing battery SOC acquisition method. Since completely exhausting the battery power will seriously affect the battery life, in order to improve the battery life, a lower limit value of the battery power is preset. The current power of the battery is more than the lower limit value of the battery power as the available power of the battery. Under normal circumstances, 10% to 20% of the total battery capacity is set as the lower limit value of the battery power. In this embodiment, 15% of the total battery capacity is preferably set as the lower limit value of the battery power.

S102. Determine the basic mileage energy consumption of the current vehicle and the upper-body energy consumption of the current vehicle according to the vehicle mass, vehicle driving data and upper-body component working data. The upper-body energy consumption of the current vehicle is the additional loss of the current vehicle other than the endurance.

Specifically, after the relevant data of the auxiliary prediction of the cruising range is obtained through the above step S101, it is necessary to calculate all energy consumptions corresponding to each driving unit time based on these data, specifically including: basic mileage energy consumption (i.e., driving energy consumption per driving unit time) and additional energy consumption other than cruising range. Among them, for a vehicle with an upper body assembly, there is not only driving energy consumption but also upper body energy consumption during driving, so the upper body energy consumption is the additional energy consumption other than cruising range. Therefore, this embodiment needs to calculate the basic mileage energy consumption and upper body energy consumption, wherein the basic mileage energy consumption is the driving energy consumption per driving unit time of the current vehicle, and the upper body energy consumption is the upper body energy consumption generated by the operation of the upper body assembly per driving unit time of the current vehicle.

Furthermore, step S102 specifically includes:

First, determine the current vehicle's cargo capacity based on the wheel driving force, wheel resistance, vehicle slope, acceleration, and vehicle mass.

The cargo capacity of the vehicle is different, so the energy consumption of the upper installation and the basic mileage energy consumption are also different. Therefore, this embodiment needs to first determine the cargo capacity of the current vehicle, and then calculate the upper installation energy consumption of the current vehicle and the basic mileage energy consumption of the current vehicle. This embodiment uses the pre-acquired wheel driving force of the current vehicle, the resistance of the wheels of the current vehicle, the slope of the current vehicle, the acceleration of the current vehicle and the vehicle mass of the current vehicle to calculate the cargo capacity of the current vehicle. In the calculation process, relevant parameters are also needed to assist in the calculation, such as the inertia coefficient, the rolling resistance coefficient, etc. The calculation formula for the cargo capacity of the current vehicle is as follows:

Among them, _M1 represents the cargo capacity, _M0 represents the vehicle mass, _Ft represents the wheel driving force, _Fw represents the resistance of the wheel, g represents the acceleration of gravity, _Fr represents the rolling resistance coefficient, α represents the slope of the vehicle, λ represents the inertia coefficient, and a represents the acceleration.

For a mixer truck, since the loading of a mixer truck is often an integer, when the calculated cargo capacity is in the range of (Nm±3%), the cargo capacity can be directly taken as Nm, where N is a natural integer and m is the mass of 1 cubic meter of cargo. The value of the cargo capacity varies depending on the dry and wet materials loaded in the mixer truck. When the calculated cargo capacity is 1m, if dry materials are loaded, the actual cargo capacity of the current vehicle is less than 1m, and at this time the preset percentage will be subtracted from the current cargo capacity. If wet materials are loaded, the actual cargo capacity of the current vehicle is greater than 1m, and at this time the preset percentage will be added to the current cargo capacity.

Second, determine the current vehicle's bodywork energy consumption based on the cargo capacity and bodywork component operating data.

This embodiment uses the mapping relationship between the cargo capacity and the turning radius pre-built in the working data of the upper assembly to query the turning radius corresponding to the cargo capacity of the current vehicle as the turning radius of the current vehicle, and then calculates the upper assembly power of the current vehicle based on the turning radius, the tank speed of the mixer truck and the speed ratio of the reducer contained in the working data of the upper assembly, and the upper assembly power is the upper assembly energy consumption of the current vehicle. The calculation formula of the upper assembly power of the current vehicle is as follows:

Among them, _P0 represents the upper power, n represents the speed of the mixer truck tank, i represents the speed ratio of the reducer, and r represents the turning radius corresponding to the cargo capacity _M1 .

Third, the basic mileage energy consumption of the current vehicle is determined based on the cycle power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time, and the preset time.

In this embodiment, the cycle power consumption of the vehicle is the cycle power consumption per mileage of the cycle power consumption of the operating conditions specified by the regulations or the power consumption per mileage at a constant speed of 40 km/h. In this embodiment, the cycle power consumption corresponding to several different cargo loads is pre-recorded. In this embodiment, the cycle power consumption corresponding to the cargo load of the current vehicle can be obtained by interpolating the cargo load of the current vehicle. In this embodiment, the basic mileage energy consumption of the current vehicle can be calculated using the cycle power consumption corresponding to the cargo load of the current vehicle, the driving energy consumption within a preset time, and the preset time.

Furthermore, this step specifically includes:

First, determine whether the current vehicle's driving target and driving route are obtained.

If the driver of the current vehicle has input a driving target in advance 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 historical driving data. However, if the driving target and driving route of the current vehicle are uncertain, the basic mileage energy consumption of the current vehicle cannot be determined using the relevant historical driving data. Therefore, before determining the basic mileage energy consumption of the current vehicle, the present embodiment first needs to determine the basic mileage energy consumption of the current vehicle. It is determined whether the driving target and driving route of the current vehicle have been obtained. The driving route may be a driving route from the current position to the driving target output by the map software connected to the current vehicle.

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 based on the historical energy consumption data that matches the cargo capacity, driving target and driving route of the current vehicle.

If the driving target and driving route of the current vehicle are obtained, the energy consumption data in the historical driving data that matches the cargo capacity, driving target and driving route of the current vehicle can be extracted from the historical driving data of the current vehicle recorded in the past big data as the historical energy consumption data. Then, the extracted historical energy consumption data is statistically analyzed 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 that matches the current driving route, the basic mileage energy consumption analyzed is more accurate, taking into account the road congestion and uphill and downhill conditions in the driving route.

Third, if the current vehicle's driving target and driving route are not obtained, the basic mileage energy consumption of the current vehicle is determined according to the cycle operating power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time, and the preset time.

If the current vehicle's driving target and driving route are not obtained, the basic mileage energy consumption of the current vehicle is calculated directly using the cycle power consumption corresponding to the current vehicle's cargo capacity, the driving energy consumption within the preset duration, and the preset duration. This embodiment combines the cycle power consumption of the working conditions specified by the regulations and the driving energy consumption during actual driving. Compared with only using the actual driving energy consumption, or only using the cycle power consumption of the working conditions specified by the regulations to determine the basic mileage energy consumption of the current vehicle, the accuracy is higher. The specific calculation formula is as follows:

Among them, _P1 represents the basic mileage energy consumption of the current vehicle, _P2 represents the cycle operating power consumption corresponding to the current vehicle's cargo capacity, n represents the preset duration, such as n hours, and _∑Pn represents the driving energy consumption within the preset duration, such as the driving energy consumption before the current moment.

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

Specifically, in this embodiment, the value obtained by subtracting the pre-recorded lower limit 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, and the available battery power of the current vehicle and the total energy consumption of the current vehicle are used to calculate the cruising range of the current vehicle. For example, if the total energy consumption of the current vehicle is the total energy consumption per unit mileage, the available battery power of the current vehicle is divided by the total energy consumption per unit mileage to calculate the mileage that can be traveled with the available battery power of the current vehicle, that is, the cruising range. If the total energy consumption of the current vehicle is the total energy consumption per unit time, the available battery power of the current vehicle is divided by the total energy consumption per unit time to calculate the length of time that the available battery power of the current vehicle can be traveled, and then the cruising range of the current vehicle can be predicted based on the average speed of the current vehicle.

From the above introduction, it can be seen that the vehicle range prediction method of the embodiment of the present application obtains the current vehicle The vehicle driving data, upper component working data, remaining battery power, pre-recorded vehicle mass and pre-recorded lower limit of battery power; according to the vehicle mass, vehicle driving data and upper component working data, determine the basic mileage energy consumption of the current vehicle and the upper component energy consumption of the current vehicle, the upper component energy consumption of the current vehicle is the additional loss of the current vehicle in addition to the cruising range; according to the remaining battery power, the lower limit of battery power, the basic mileage energy consumption and the additional loss, determine the cruising range of the current vehicle. By adopting the technical solution of this embodiment, the cruising range of the vehicle can be predicted in combination with the upper component energy consumption during the upper component working, avoiding the influence of the upper component working on the cruising range prediction and improving the accuracy of the vehicle's cruising range prediction.

Further, FIG. 2 is a flow chart of another vehicle cruising range prediction method provided in an embodiment of the present application. As shown in FIG. 2 , the vehicle cruising range prediction method of this embodiment further includes the following steps before executing step S103:

S203: Acquire temperature data of the current vehicle and driving time of the current vehicle.

Specifically, the additional loss of the current vehicle other than the cruising range includes the energy consumption of the upper body and the energy consumption of the air conditioner. In order to determine the energy consumption of the air conditioner, it is necessary to obtain the temperature data of the current vehicle and the driving time of the current vehicle. Among them, the temperature data of the current vehicle includes: the temperature inside the vehicle, the temperature outside the vehicle and the set temperature set by the driver. The temperature inside the vehicle is collected by the temperature sensor set inside the vehicle, the temperature outside the vehicle is collected by the temperature sensor set outside the vehicle, and the set temperature is the temperature input by the driver collected by the temperature input device. For a known driving destination, the driving time of the current vehicle to the destination can be determined based on the mileage between the current location and the destination, wherein the driving time can be calculated based on the mileage between the current location and the destination and the average speed of the current vehicle, or the driving time to the destination 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 time can be set in advance, and the default value is used as the driving time of the current vehicle.

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.

Specifically, this embodiment pre-constructs a multi-dimensional simulation model that matches the relevant parameters of the current vehicle (such as the temperature inside the vehicle, the temperature outside the vehicle, the set temperature, the size of the cockpit, the air conditioning fan efficiency, the panel exchange area, the pipe loss, etc.), wherein the cockpit size of the current vehicle, the air conditioning fan efficiency of the current vehicle, the air conditioning panel exchange area of the current vehicle, the air conditioning pipe loss of the current vehicle and other parameters are fixed parameters, so the simulation model can be used to calculate the air conditioning energy consumption table corresponding to the fixed parameters of the above-mentioned current vehicle, wherein the air conditioning energy consumption table is the corresponding air conditioning energy consumption of different inside temperatures, different outside temperatures and different set temperatures under the fixed parameters of the current vehicle, and the air conditioning energy consumption table is the mapping relationship between temperature and air conditioning energy consumption. This embodiment can query the air conditioning energy consumption corresponding to the inside temperature, outside temperature and set temperature of the current vehicle from the mapping relationship between temperature and air conditioning energy consumption.

S205: The ratio between the air conditioning energy consumption of the current vehicle and the driving time of the current vehicle is used as the air conditioning basic energy consumption of the current vehicle. The air conditioning basic energy consumption of the current vehicle and the upper body energy consumption of the current vehicle are both the current vehicle The additional loss of the vehicle other than the battery life.

The basic mileage energy consumption of the current vehicle and the additional energy consumption of the current vehicle other than the cruising range determined in this embodiment are both the basic energy consumption of the current vehicle. Therefore, the corresponding basic energy consumption of the air conditioning energy consumption of the current vehicle also needs to be determined. Therefore, the value obtained by dividing the air conditioning energy consumption of the current vehicle by the driving time of the current vehicle needs to be used as the basic air conditioning energy consumption of the current vehicle. Then, the upper equipment 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 cruising range.

In this embodiment, the execution order between steps S201 to S202 and steps S203 to S204 is not limited in this embodiment, that is, steps S201 to S202 may be executed first, and then steps S203 to S204, or steps S203 to S204 may be executed first, and then steps S201 to S202, or steps S201 to S202 and steps S203 to S204 may be executed simultaneously.

Steps S201 to S202 shown in FIG. 2 are the same as steps S101 to S102 shown in FIG. 1 , and step S206 shown in FIG. 2 is the same as step S103 shown in FIG. 1 . The execution contents of steps S201 , S202 and S206 are not further described in detail in this embodiment.

Furthermore, FIG3 is a flow chart of another vehicle cruising range prediction method provided in an embodiment of the present application. As shown in FIG3 , the vehicle cruising range prediction method of the present embodiment further includes the following steps before executing step S103:

S303 : querying the battery correction coefficient corresponding to the external temperature of the vehicle according to the pre-established mapping relationship between the temperature and the battery correction coefficient and the pre-acquired external temperature of the current vehicle.

Specifically, the ambient temperature of the vehicle battery is the outside temperature, and the battery will be affected by the temperature, thereby affecting the battery's storage capacity. For example, the battery's storage capacity is higher when the weather is warmer than when the weather is colder. Therefore, in order to improve the accuracy of the predicted cruising range, this embodiment needs to consider the impact 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 proportion of the actual battery power to the calculated battery power in the environment of the 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 outside temperature of the current vehicle obtained in advance from the pre-constructed mapping relationship between the temperature and the battery correction coefficient.

S304: Determine the current cruising range of the vehicle based on the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, the additional loss and the battery correction factor.

Specifically, in order to improve the accuracy of the predicted cruising range, the battery correction factor corresponding to the current outside temperature needs to be considered when predicting the cruising range. That is, the current vehicle's cruising range is determined based on the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, the additional loss and the battery correction factor. The specific steps are as follows:

First, the difference between the current vehicle's remaining battery power and the pre-recorded battery power lower limit is multiplied by the current vehicle's battery correction coefficient to obtain the value as the current vehicle's battery available power. The sum of the basic mileage energy consumption of the vehicle and the additional loss of the current vehicle is taken as the total energy consumption of the current vehicle;

Second, the ratio between the available battery power of the current vehicle and the total energy consumption of the current vehicle is taken as the cruising range of the current vehicle.

Step S303 and step S304 of this solution can also be performed after step S204 in FIG. 2 .

When the additional loss includes the energy consumption of the body and the basic energy consumption of the air conditioner, the calculation formula for the current vehicle's cruising range is as follows:

Wherein, D represents the cruising range, SOC ₁ represents the remaining battery power, SOC ₀ represents the lower limit of the battery power, P ₀ represents the upper installation energy consumption in the additional loss, P ₁ represents the basic mileage energy consumption, P ₂ represents the basic air conditioning energy consumption in the additional loss, and η represents the battery correction factor.

Steps S301 to S302 shown in FIG. 3 are the same as steps S101 to S102 shown in FIG. 1 , and the execution contents of steps S301 to S302 are not further described in detail in this embodiment.

Further, FIG. 4 is a schematic diagram of a processing flow for determining the available time of the upper installation of the current vehicle provided in an embodiment of the present application. As shown in FIG. 4 , the vehicle range prediction method of the present embodiment further includes the following steps:

S401. Multiply the difference between the remaining battery power and the lower limit of the battery power by the battery correction coefficient to obtain a value as the current available battery power of the vehicle.

S402: taking the ratio between the available power of the battery of the current vehicle and the energy consumption of the upper body of the current vehicle as the available time of the upper body of the current vehicle.

In this embodiment, the available loading time of the current vehicle is the working time when the loading work is performed only using the available power of the battery of the current vehicle. The available power of the battery of the current vehicle is calculated using the battery correction coefficient of the current vehicle. Therefore, the influence of the outside temperature on the battery storage capacity is taken into account, which improves the accuracy of the prediction of the available loading time. Among them, the calculation formula of the available loading time T of the current vehicle is:

Furthermore, the vehicle range prediction method of this embodiment also includes the following steps:

First, obtain the distance between the charging and swapping stations within the cruising range of the current vehicle and the current vehicle.

Specifically, after predicting the cruising range of the current vehicle, the charging and swapping stations within the cruising range searched by the pre-set map software can also be obtained to obtain the charging and swapping station distance between the charging and swapping station and the current vehicle, wherein the charging and swapping station within the cruising range is the charging and swapping station whose distance from the current position of the current vehicle is less than the predicted cruising range of the current vehicle, thereby ensuring that the current vehicle can promptly search for a charging and swapping station that the current vehicle can travel to for vehicle energy storage when the cruising range is short.

Second, output the current vehicle range and the distance to the charging and swapping station.

In this embodiment, the current vehicle's cruising range and the distance between the vehicle and the charging and swapping station can be input. 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 store energy for the current vehicle. If there are multiple charging and swapping stations within the cruising range of the current vehicle, this embodiment can also output the driving routes of multiple charging and swapping stations and the distances to the charging and swapping stations so that the driver can select the target charging and swapping station by himself.

In addition, this embodiment can also output the available time for loading when the current vehicle is only loading, so as to avoid sudden stops during the loading process. Among them, the current vehicle's cruising range, the current vehicle's distance from the charging and swapping station, and the current vehicle's available time for loading can all be output to the human-computer interaction device to display these data to the driver.

Corresponding to the above-mentioned vehicle cruising range prediction method, the embodiment of the present application also proposes a vehicle cruising range prediction device. FIG5 is a structural schematic diagram of a vehicle cruising range prediction device provided by the embodiment of the present application. As shown in FIG5, the vehicle cruising range prediction device of the present embodiment includes:

The acquisition module 100 is used to acquire the vehicle driving data, upper assembly working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit value of the current vehicle;

The energy consumption determination module 110 is used to determine the basic mileage energy consumption of the current vehicle and the upper body energy consumption of the current vehicle according to the vehicle mass, vehicle driving data and upper body component working data. The upper body energy consumption of the current vehicle is the additional loss of the current vehicle other than the endurance.

The cruising range determination module 120 is used to determine the cruising 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.

The vehicle cruising range prediction device proposed in the embodiment of the present application, the acquisition module 100 acquires the vehicle driving data, the upper component working data, the remaining battery power, the pre-recorded vehicle mass and the pre-recorded battery power lower limit value of the current vehicle; the energy consumption determination module 110 determines the basic mileage energy consumption of the current vehicle and the upper component energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper component working data, and the upper component energy consumption of the current vehicle is the additional loss of the current vehicle except the cruising range; 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 cruising range of the vehicle can be predicted in combination with the upper component energy consumption during the upper component working, avoiding the influence of the upper component working on the cruising range prediction and improving the accuracy of the vehicle cruising range prediction.

Furthermore, in the vehicle 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 time.

The energy consumption determination module 110 includes: a cargo capacity calculation unit, a load energy consumption calculation unit and a basic mileage energy consumption calculation unit;

A cargo capacity calculation unit, used to determine the current cargo capacity of the vehicle based on the wheel driving force, the wheel resistance, the slope of the vehicle, the acceleration and the vehicle mass;

The body energy consumption calculation unit is used to determine the current vehicle energy consumption according to the cargo volume and body component working data. Energy consumption of upper body;

The basic mileage energy consumption calculation unit is used to determine the basic mileage energy consumption of the current vehicle based on the cycle power consumption corresponding to the cargo load, the driving energy consumption within a preset time, and the preset time.

Furthermore, in the vehicle cruising range prediction device of this embodiment, the basic mileage energy consumption calculation unit is specifically used to:

Determine whether the current vehicle's driving target and driving route are obtained;

If the driving target and driving route of the current vehicle are obtained, the basic mileage energy consumption of the current vehicle is determined based on the historical energy consumption data that matches the cargo capacity, driving target and driving route of the current vehicle;

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 operating power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time and the preset time.

Furthermore, the vehicle cruising range prediction device of this embodiment further includes: a first query module and an air conditioning basic energy consumption calculation module;

The acquisition module 100 is also used to acquire the temperature data of the current vehicle and the driving time of the current vehicle; wherein the temperature data includes: the temperature inside the vehicle, the set temperature and the temperature outside the vehicle;

A first query module, used to query the air conditioning energy consumption corresponding to the temperature data of the current vehicle from the pre-built mapping relationship between temperature and air conditioning energy consumption;

The air conditioning basic energy consumption calculation module is used to take the ratio between the air conditioning energy consumption of the current vehicle and the driving time of the current vehicle as the air conditioning basic energy consumption of the current vehicle. The air conditioning basic energy consumption of the current vehicle and the upper equipment energy consumption of the current vehicle are both additional losses of the current vehicle in addition to the cruising range.

Furthermore, the vehicle cruising range prediction device of this embodiment further includes: a second query module;

A second query module is used to query the battery correction coefficient corresponding to the external temperature of the vehicle according to the pre-established mapping relationship between the temperature and the battery correction coefficient and the pre-acquired external temperature of the current vehicle;

The cruising range determination module 120 is used to determine the current cruising range of the vehicle based on the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption, the additional loss and the battery correction factor.

Furthermore, in the vehicle cruising range prediction device of this embodiment, the cruising range determination module 120 is specifically used for:

The difference between the remaining battery power and the lower limit of the battery power is multiplied by the battery correction coefficient to obtain the value as the available battery power of the current vehicle, and the sum of the basic mileage energy consumption and the additional loss is taken as the total energy consumption of the current vehicle;

The ratio between the available battery power of the current vehicle and the total energy consumption of the current vehicle is taken as the cruising range of the current vehicle.

Furthermore, the vehicle cruising range prediction device of this embodiment further includes: a battery available power calculation module and a body available time calculation module;

A battery available power calculation module is used to multiply the difference between the remaining battery power and the lower limit of the battery power by the battery correction coefficient to obtain a value as the current available battery power of the vehicle;

The available time calculation module for the body is used to calculate the available battery power of the current vehicle and the body of the current vehicle. The ratio of the energy consumption is used as the available installation time of the current vehicle, wherein the available installation time is the working time when the installation work is performed only using the available power of the battery of the current vehicle.

Furthermore, the vehicle cruising range prediction device of this embodiment also includes: an output module.

The acquisition module 100 is further used to obtain the distance between the charging and swapping stations within the cruising range of the current vehicle and the charging and swapping stations between the current vehicle;

The output module is used to output the current vehicle range and the distance to the charging and swapping station.

The vehicle range prediction device provided in this embodiment belongs to the same application concept as the vehicle range prediction method provided in the embodiment of this application, and can execute the vehicle range prediction method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of executing the vehicle range prediction method. For technical details not fully described in this embodiment, please refer to the vehicle range prediction method provided in the embodiment of this application, and will not be repeated here.

FIG6 is a schematic diagram of the structure of a vehicle cruising range prediction device provided in an embodiment of the present application. As shown in FIG6 , the present embodiment further provides a vehicle cruising range prediction device, including: a memory 200 and a processor 210;

The memory 200 is connected to the processor 210 and is used to store programs;

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

Specifically, the above-mentioned vehicle cruising range prediction device may also include: a bus, a communication interface 220 , an input device 230 and an output device 240 .

The processor 210, the memory 200, the communication interface 220, the input device 230 and the output device 240 are interconnected via a bus, wherein the bus may include a path for transmitting information between various components of the computer system.

The processor 210 may be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the scheme 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.

The processor 210 may include a main processor, and may also include a baseband chip, a modem, and the like.

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 businesses. Specifically, the program may include a 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 storage, a flash, and the like.

The input device 230 may include a device for receiving data and information input by a user, 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.

Output device 240 may include devices that allow information to be output to a user, such as a display screen, printer, speaker, etc.

The communication interface 220 may include any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc.

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 range prediction method provided in the embodiment of the present application.

Another embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the various steps of the vehicle range prediction method provided in any of the above embodiments are implemented.

FIG7 is a schematic diagram of the structure of a working machine provided in an embodiment of the present application. As shown in FIG7, another embodiment of the present application further provides a working machine, which includes: a sensor cluster, a body 31, an upper assembly 32, and a vehicle range prediction device provided in the above embodiment. Among them, the body 31 is connected to the upper assembly 32, and the sensors in the sensor cluster are arranged on the body 31 or the upper assembly 32, wherein the sensors in the sensor cluster include: a temperature sensor, a speed sensor, a gyroscope, etc., and the temperature sensor includes a temperature sensor arranged inside the vehicle and a temperature sensor arranged outside the vehicle. The vehicle range prediction device is connected to the sensors in the sensor cluster and receives relevant data collected by each sensor.

The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and/or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and/or recombined. Such decomposition and/or recombination should be regarded as equivalent solutions of the present application.

The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may 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 widest scope consistent with the principles and novel features disclosed herein.

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 used to more clearly explain the technical solutions and cannot be used to limit the scope of protection of the present application.

The above description has been given for the purpose 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, changes, additions and sub-combinations thereof.

Claims (15)

1. A vehicle cruising range prediction method, characterized by comprising:

   Obtaining the vehicle driving data, upper component working data, battery remaining power, pre-recorded vehicle mass and pre-recorded battery power lower limit value of the current vehicle;

   Determine the basic mileage energy consumption of the current vehicle and the upper-body energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper-body component working data, where the upper-body energy consumption of the current vehicle is the additional loss of the current vehicle other than the endurance;

   The cruising range of the current vehicle is determined according to the remaining battery power, the lower limit of the battery power, the basic mileage energy consumption and the additional loss.
2. The method according to claim 1, characterized in that the vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, vehicle slope, acceleration and driving energy consumption within a preset time;

   Wherein, determining the basic mileage energy consumption of the current vehicle and the upper component energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper component working data includes:

   Determining the cargo capacity of the current vehicle according to the wheel driving force, the resistance of the wheel, the slope of the vehicle, the acceleration and the vehicle mass;

   Determining the upper body energy consumption of the current vehicle according to the cargo capacity and the upper body component working data;

   The basic mileage energy consumption of the current vehicle is determined according to the cycle operating condition power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period, and the preset time period.
3. The method according to claim 2 is characterized in that determining the basic mileage energy consumption of the current vehicle according to the cycle power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period, and the preset time period comprises:

   Determine whether the current vehicle's driving target and driving route are obtained;

   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 cargo capacity, driving target and driving route of the current vehicle;

   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 operating power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period and the preset time period.
4. The method according to any one of claims 1 to 3, characterized in that before determining 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 and the additional loss, the method further comprises:

   Obtain the temperature data of the current vehicle and the driving time of the current vehicle; wherein the temperature data includes: Interior temperature, set temperature and exterior temperature;

   Querying the air conditioning energy consumption corresponding to the temperature data of the current vehicle from a pre-built mapping relationship between temperature and air conditioning energy consumption;

   The ratio between the air-conditioning energy consumption of the current vehicle and the driving time of the current vehicle is taken as the basic air-conditioning energy consumption of the current vehicle. The basic air-conditioning energy consumption of the current vehicle and the upper equipment energy consumption of the current vehicle are both additional losses of the current vehicle other than the cruising range.
5. The method according to any one of claims 1 to 4, characterized in that before determining 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 and the additional loss, the method further comprises:

   According to the pre-established mapping relationship between temperature and battery correction coefficient and the pre-acquired current vehicle external temperature, querying the battery correction coefficient corresponding to the external temperature;

   Wherein, determining 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 and the additional loss includes:

   The cruising range of the current vehicle is determined 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 factor.
6. The method according to claim 5, characterized in that determining 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 factor comprises:

   The difference between the remaining battery power and the lower limit of the battery power is multiplied by the battery correction coefficient to obtain a value as the available battery power of the current vehicle, and the sum of the basic mileage energy consumption and the additional loss is taken as the total energy consumption of the current vehicle;

   The ratio between the available power of the battery of the current vehicle and the total energy consumption of the current vehicle is used as the cruising range of the current vehicle.
7. The method according to claim 5, further comprising:

   The difference between the remaining battery power and the lower limit of the battery power is multiplied by the battery correction coefficient to obtain a value as the available battery power of the current vehicle;

   The ratio between the available power of the battery of the current vehicle and the energy consumption of the upper body of the current vehicle is used as the available time of the upper body of the current vehicle, wherein the available time of the upper body is the working time when the upper body is operated only by using the available power of the battery of the current vehicle.
8. The method according to any one of claims 1 to 7, further comprising:

   Obtaining the distance between a charging and swapping station within the cruising range of the current vehicle and the charging and swapping station between the current vehicle;

   Output the current vehicle's cruising range and the distance to the charging and swapping station.
9. A vehicle cruising range prediction device, characterized by comprising:

   The acquisition module is used to obtain the vehicle driving data, upper component working data, battery remaining data, etc. Remaining power, pre-recorded vehicle mass and pre-recorded lower limit of battery power;

   An energy consumption determination module, used to determine the basic mileage energy consumption and the upper body energy consumption of the current vehicle according to the vehicle mass, the vehicle driving data and the upper body component working data, and the upper body energy consumption of the current vehicle is used as the additional loss of the current vehicle in addition to the endurance;

   The cruising range determination module is used to determine the cruising 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.
10. The device according to claim 9, characterized in that the vehicle driving data of the current vehicle includes: wheel driving force, wheel resistance, vehicle slope, acceleration and driving energy consumption within a preset time;

    Wherein, the energy consumption determination module includes:

    a cargo capacity calculation unit, configured to determine the cargo capacity of the current vehicle according to the wheel driving force, the resistance of the wheel, the slope of the vehicle, the acceleration and the vehicle mass;

    A bodywork energy consumption calculation unit, used to determine the bodywork energy consumption of the current vehicle according to the cargo capacity and the working data of the bodywork components;

    The basic mileage energy consumption calculation unit is used to determine the basic mileage energy consumption of the current vehicle according to the cycle operating condition power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period and the preset time period.
11. The device according to claim 10, characterized in that the basic mileage energy consumption calculation unit is used to:

    Determine whether the current vehicle's driving target and driving route are obtained;

    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 cargo capacity, driving target and driving route of the current vehicle;

    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 operating power consumption corresponding to the cargo capacity, the driving energy consumption within the preset time period and the preset time period.
12. The device according to any one of claims 9 to 11, characterized in that the acquisition module is also used to acquire temperature data of the current vehicle and the driving time of the current vehicle; wherein the temperature data includes: the temperature inside the vehicle, the set temperature and the temperature outside the vehicle;

    Wherein, the device further comprises:

    A first query module, configured to query the air conditioning energy consumption corresponding to the temperature data of the current vehicle from a pre-constructed mapping relationship between temperature and air conditioning energy consumption;

    The air-conditioning basic energy consumption calculation module is used to take the ratio between the air-conditioning energy consumption of the current vehicle and the driving time of the current vehicle as the air-conditioning basic energy consumption of the current vehicle. The air-conditioning basic energy consumption of the current vehicle and the upper equipment energy consumption of the current vehicle are both additional losses of the current vehicle other than the cruising range.
13. A vehicle cruising range prediction device, characterized by comprising: a memory and a processor;

    Wherein, the memory is connected to the processor and is used to store programs;

    The processor is used to implement the vehicle cruising range prediction method as described in any one of claims 1 to 8 by running the program in the memory.
14. A working machine, characterized in that it comprises: a sensor cluster, a vehicle body, a top assembly, and a vehicle range prediction device as claimed in claim 13;

    The vehicle body is connected to the upper assembly;

    The sensors in the sensor cluster are arranged on the vehicle body or the upper assembly;

    The vehicle range prediction device is connected to the sensors in the sensor cluster.
15. A computer-readable storage medium storing a computer program for executing the vehicle range prediction method according to any one of claims 1 to 8.