CN118288941A - Electric vehicle power conversion control method and device and vehicle - Google Patents

Abstract

The invention discloses a power conversion control method and device of an electric vehicle and the vehicle. Wherein the method comprises the following steps: determining a driving condition and a endurance mileage of an electric vehicle, wherein the driving condition comprises one of the following: expressway driving conditions and urban road driving conditions; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition; and controlling the electric vehicle to be in a reserved power exchange state, and sending the reserved power exchange order to the target power exchange station so as to enable the target power exchange station to be in a reserved state. The invention solves the technical problem of poor economical efficiency when the electric vehicle is subjected to power change in the related art.

Description

Electric vehicle power conversion control method and device and vehicle

Technical Field

The invention relates to the field of electric vehicle power conversion control, in particular to a power conversion control method and device of an electric vehicle and the vehicle.

Background

With the rapid development of electric vehicles related technology, the way of supplementing and replacing electric quantity for pure electric vehicles can be divided into charging and replacing electric quantity, compared with the prior art, the popularity of a power replacing station for providing the electric vehicle with the power replacing service is lower, and the important development direction of how to realize the rapid power replacing under lower cost is considered currently for some electric vehicles needing the power replacing.

Disclosure of Invention

The embodiment of the invention provides a power conversion control method and device of an electric vehicle and the vehicle, which at least solve the technical problem of poor economical efficiency when the electric vehicle is subjected to power conversion in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a power conversion control method of an electric vehicle, including: determining a driving condition and a endurance mileage of an electric vehicle, wherein the driving condition comprises one of the following: expressway driving conditions and urban road driving conditions; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition; and controlling the electric vehicle to be in a reserved power exchange state, and sending the reserved power exchange order to the target power exchange station so as to enable the target power exchange station to be in a reserved state.

Further, determining a range of the electric vehicle includes: acquiring running data of the electric vehicle; extracting a plurality of influence factor features from the driving data, wherein the plurality of influence factor features are used for representing the features of a plurality of factors influencing the endurance mileage; and processing the influence factor characteristics by using a range prediction model to obtain the range.

Further, the range prediction model is a model trained using travel data of a plurality of electric vehicles of the same type as the electric vehicle.

Further, responding to the driving condition includes: the highway driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps: generating at least one power conversion scheme based on a driving route of the electric vehicle and the range, wherein each power conversion scheme at least comprises a candidate power conversion station which passes through the driving route and is in the range; determining a total cost of the at least one power conversion scheme, wherein the total cost is used for representing a cost generated by providing power conversion service for the electric vehicle according to the corresponding power conversion scheme; and determining the candidate power exchange station in the power exchange scheme corresponding to the minimum total cost as the target power exchange station.

Further, generating at least one power conversion scheme based on the driving route of the electric vehicle and the range, including: determining a plurality of power exchange stations through which the travel route passes; determining at least one electric power plant based on the attribute information of the electric vehicle and the attribute information of the plurality of electric power plants, wherein the at least one electric power plant is used for characterizing the electric power plant that is allowed to provide electric power conversion service for the electric vehicle; and generating the at least one power conversion scheme based on the endurance mileage and the at least one power conversion station.

Further, determining a total cost of the at least one power conversion scheme includes: determining a vehicle queuing number of a candidate battery exchange station based on passenger flow data of the candidate battery exchange station in each battery exchange scheme by using a queuing time prediction model, wherein the vehicle queuing number is used for representing the number of vehicles waiting for executing battery exchange service before the electric vehicle reaches the candidate battery exchange station; determining a cost of providing a power conversion service for the electric vehicle by the candidate power conversion station based on the number of vehicle queues of the candidate power conversion station and the time of the electric vehicle reaching the candidate power conversion station; and obtaining the total cost of each power conversion scheme based on the sum of the costs of the candidate power conversion stations in each power conversion scheme.

Further, determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a number of vehicle queues of the candidate battery replacement station and a time when the electric vehicle arrives at the candidate battery replacement station, comprising: obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the candidate power exchange station for providing power exchange service for the electric vehicle; determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time when the electric vehicle arrives at the candidate battery replacement station; and obtaining the weighted sum of the time cost and the cost of the candidate battery exchange station to obtain the cost of the candidate battery exchange station.

Further, determining a cost of a charge for providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time the electric vehicle arrives at the candidate battery replacement station, comprising: determining a unit electricity price corresponding to the time when the electric vehicle arrives at the candidate power exchange station; determining the current residual capacity of the electric vehicle, the target residual capacity of the electric vehicle after the candidate power exchange station provides power exchange service for the electric vehicle, and the battery capacity of the electric vehicle; obtaining a difference value between the target residual electric quantity and the current residual electric quantity to obtain a residual electric quantity difference; and obtaining the product of the residual electricity difference, the battery electric quantity and the unit electricity price to obtain the cost.

Further, the method further comprises the steps of: determining a waiting time corresponding to the target battery exchange station based on vehicle queuing data of the target battery exchange station and battery storage information in the target battery exchange station, wherein the waiting time is used for representing the waiting time of the target battery exchange station for providing battery exchange service for the electric vehicle; outputting reservation prompt information in response to the waiting time being greater than or equal to the time when the electric vehicle arrives at the target battery exchange station, wherein the reservation prompt information is used for prompting generation of the reservation battery exchange order; and responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

Further, responding to the driving condition includes: the urban road driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps: determining whether the electric vehicle has a power change requirement based on the endurance mileage; determining at least one battery exchange station within the range in response to the electric vehicle having a battery exchange demand; determining a total cost of the at least one power exchange station, wherein the total cost is used to characterize a cost of providing a power exchange service for the electric vehicle by a corresponding power exchange station; and determining the power exchange station corresponding to the minimum total cost as the target power exchange station.

Further, determining a total cost of the at least one power exchange station comprises: obtaining a distance cost of the at least one power exchange station based on a distance between the electric vehicle and the at least one power exchange station; determining a vehicle queuing number of the at least one battery exchange station based on the passenger flow data of the at least one battery exchange station by using a queuing time prediction model; obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the at least one power exchange station for providing power exchange service for the electric vehicle; determining a cost of charge for the at least one battery exchange station to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the at least one battery exchange station; obtaining a weighted sum of distance costs, time costs and cost costs of the at least one power exchange station, resulting in a total cost of the at least one power exchange station.

Further, the method further comprises the steps of: outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation electricity change order; and responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

According to another aspect of the embodiment of the present invention, there is also provided a power conversion control device for an electric vehicle, including: the driving parameter determining module is used for determining driving conditions and endurance mileage of the electric vehicle, wherein the driving conditions comprise one of the following: expressway driving conditions and urban road driving conditions; the battery replacement station determining module is used for determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition; and the power conversion order sending module is used for controlling the electric vehicle to be in a reserved power conversion state and sending the reserved power conversion order to the target power conversion station so as to enable the target power conversion station to be in a reserved state.

Further, the driving parameter determination module includes: a travel data acquisition unit configured to acquire travel data of the electric vehicle; an influence factor determining unit, configured to extract a plurality of influence factor features from the driving data, where the plurality of influence factor features are used to characterize features of a plurality of factors that have an influence on the endurance mileage; and the influence factor processing unit is used for processing the influence factor characteristics by using a range prediction model to obtain the range.

Further, the range prediction model is a model trained using travel data of a plurality of electric vehicles of the same type as the electric vehicle.

Further, the power exchange station determination module includes: the power conversion scheme generation unit is used for generating at least one power conversion scheme based on the driving route of the electric vehicle and the range, wherein each power conversion scheme at least comprises a candidate power conversion station which passes through the driving route and is in the range; a total cost determination unit for determining a total cost of the at least one power conversion scheme, wherein the total cost is used for representing a cost generated by providing power conversion service for the electric vehicle according to the corresponding power conversion scheme; and the battery replacement station determining unit is used for determining the candidate battery replacement station in the battery replacement scheme corresponding to the minimum total cost as the target battery replacement station.

Further, the power conversion scheme generating unit is further configured to: determining a plurality of power exchange stations through which the travel route passes; determining at least one electric power plant based on the attribute information of the electric vehicle and the attribute information of the plurality of electric power plants, wherein the at least one electric power plant is used for characterizing the electric power plant that is allowed to provide electric power conversion service for the electric vehicle; and generating the at least one power conversion scheme based on the endurance mileage and the at least one power conversion station.

Further, the total cost determination unit is further configured to: determining a vehicle queuing number of a candidate battery exchange station based on passenger flow data of the candidate battery exchange station in each battery exchange scheme by using a queuing time prediction model, wherein the vehicle queuing number is used for representing the number of vehicles waiting for executing battery exchange service before the electric vehicle reaches the candidate battery exchange station; determining a cost of providing a power conversion service for the electric vehicle by the candidate power conversion station based on the number of vehicle queues of the candidate power conversion station and the time of the electric vehicle reaching the candidate power conversion station; and obtaining the total cost of each power conversion scheme based on the sum of the costs of the candidate power conversion stations in each power conversion scheme.

Further, the total cost determination unit is further configured to: obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the candidate power exchange station for providing power exchange service for the electric vehicle; determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time when the electric vehicle arrives at the candidate battery replacement station; and obtaining the weighted sum of the time cost and the cost of the candidate battery exchange station to obtain the cost of the candidate battery exchange station.

Further, the total cost determination unit is further configured to: determining a unit electricity price corresponding to the time when the electric vehicle arrives at the candidate power exchange station; determining the current residual capacity of the electric vehicle, the target residual capacity of the electric vehicle after the candidate power exchange station provides power exchange service for the electric vehicle, and the battery capacity of the electric vehicle; obtaining a difference value between the target residual electric quantity and the current residual electric quantity to obtain a residual electric quantity difference; and obtaining the product of the residual electricity difference, the battery electric quantity and the unit electricity price to obtain the cost.

Further, the apparatus further includes: the waiting time determining module is used for determining the waiting time corresponding to the target battery exchange station based on the vehicle queuing data of the target battery exchange station and the battery storage information in the target battery exchange station, wherein the waiting time is used for representing the waiting time of the target battery exchange station for providing battery exchange service for the electric vehicle; the prompt information output module is used for responding to the fact that the waiting time is greater than or equal to the time when the electric vehicle arrives at the target battery exchange station, and outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation battery exchange order; and the electricity change order generation module is used for responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reserved electricity change order based on the attribute information of the target electricity change station and the time of the electric vehicle reaching the target electricity change station.

Further, responding to the driving condition includes: the urban road driving condition; the power exchange station determination module includes: the power-changing requirement determining unit is used for determining whether the electric vehicle has power-changing requirements or not based on the continuous mileage; a battery-replacement-station determining unit configured to determine at least one battery-replacement station within the range in response to the electric vehicle having a battery-replacement demand; a total cost determination unit for determining a total cost of the at least one power exchange station, wherein the total cost is used for representing a cost generated by the corresponding power exchange station for providing the electric vehicle with a power exchange service; and the target power exchange station determining unit is used for determining the power exchange station corresponding to the minimum total cost as the target power exchange station.

Further, the total cost determination unit is further configured to: obtaining a distance cost of the at least one power exchange station based on a distance between the electric vehicle and the at least one power exchange station; determining a vehicle queuing number of the at least one battery exchange station based on the passenger flow data of the at least one battery exchange station by using a queuing time prediction model; obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the at least one power exchange station for providing power exchange service for the electric vehicle; determining a cost of charge for the at least one battery exchange station to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the at least one battery exchange station; obtaining a weighted sum of distance costs, time costs and cost costs of the at least one power exchange station, resulting in a total cost of the at least one power exchange station.

Further, the apparatus further includes: the prompt information output module is used for outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation electricity change order; and the electricity change order generation module is used for responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reserved electricity change order based on the attribute information of the target electricity change station and the time of the electric vehicle reaching the target electricity change station.

According to another aspect of an embodiment of the present invention, there is also provided a vehicle including: a memory storing an executable program; and a processor for running a program, wherein the program when run performs the methods of the various embodiments of the present invention.

According to another aspect of the embodiments of the present invention, there is also provided a computer readable storage medium including a stored executable program, where the executable program when run controls a device in which the computer readable storage medium is located to perform the method in the embodiments of the present invention.

According to another aspect of embodiments of the present invention, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements the methods of the various embodiments of the invention.

According to another aspect of embodiments of the present invention, there is also provided a computer program product comprising a non-volatile computer readable storage medium storing a computer program which, when executed by a processor, implements the method in various embodiments of the invention.

According to another aspect of embodiments of the present invention, there is also provided a computer program which, when executed by a processor, implements the methods of the various embodiments of the invention.

In the embodiment of the invention, the running condition and the endurance mileage of the electric vehicle are determined; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition; the electric vehicle is controlled to be in a reserved power exchange state, the reserved power exchange order is sent to the target power exchange station, so that the target power exchange station is in the reserved state, the target power exchange station which can stably provide power exchange service for the electric vehicle is determined according to the current running working condition and the continuous mileage of the vehicle, the electric vehicle is controlled to be in the reserved power exchange state, the target power exchange station is controlled to be in the reserved state, and when the electric vehicle runs to the target power exchange station, the power exchange efficiency of the electric vehicle can be improved, the purpose of improving the power exchange efficiency of the electric vehicle under the condition of low power exchange cost is achieved, and the technical problem that the economical efficiency of the electric vehicle is poor in the related art is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

fig. 1 is a flowchart illustrating a power change control method of an electric vehicle according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a battery change control system for an electric vehicle, according to an embodiment of the present application;

fig. 3 is a schematic diagram showing a battery change control process of an electric vehicle according to an embodiment of the present application;

Fig. 4 is a block diagram showing a structure of a battery change control device of an electric vehicle according to an embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

According to an embodiment of the present invention, there is provided a method embodiment of a battery-changing control of an electric vehicle, it being noted that the steps shown in the flowcharts of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be performed in an order different from that herein.

Fig. 1 is a flowchart of a power change control method of an electric vehicle according to an embodiment of the present application, as shown in fig. 1, the method including the steps of:

step S102, determining the driving condition and the endurance mileage of the electric vehicle.

Wherein, the driving condition includes one of the following: expressway driving conditions and urban road driving conditions.

The driving condition of the expressway may refer to a general term for driving conditions in which an electric vehicle cannot travel out of a current scene in a short time, for example, when the electric vehicle travels in a scene such as an expressway, a tunnel, or a bridge, the electric vehicle cannot travel out of the way. The urban road driving condition may refer to a general term for driving conditions in which an electric vehicle can travel out of a current scene in a short time, for example, when the electric vehicle travels in a scene such as an urban road, a service area, etc., the electric vehicle may travel away immediately.

In an alternative of this embodiment, considering that the corresponding power conversion conditions of the electric vehicle under different driving conditions are different, for example, when the electric vehicle is currently running on an expressway, the electric vehicle cannot immediately travel to the power conversion station to convert power, and when the electric vehicle is currently running on an urban road, the electric vehicle can travel to the power conversion station to convert power directly according to a travel path between the power conversion station and the current position of the electric vehicle, so when it is detected that the electric vehicle currently needs to convert power, a power conversion control system (simply referred to as a control system) of the electric vehicle can first obtain the current driving condition of the electric vehicle, that is, determine whether the electric vehicle is currently in the expressway driving condition or the urban road driving condition. It should be noted that the above two driving conditions are only exemplary, and the user may divide the driving conditions of the electric vehicle according to the requirements, which is not limited herein. Further, for example, the electric vehicle can be smoothly driven to the power exchange station, the control system can further obtain the current endurance mileage of the electric vehicle, and the power exchange station which the electric vehicle can successfully drive at present can be determined according to the endurance mileage, so that the situation that the electric vehicle cannot drive to the specified power exchange station to exchange electricity due to the fact that the specified power exchange station is far away from the current position of the electric vehicle is avoided.

And step S104, determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition.

In an alternative solution of this embodiment, considering that the power conversion conditions corresponding to different driving conditions are different, different power conversion strategies may be specified for different driving conditions, and the power conversion strategies are utilized to determine, in combination with the current range of the electric vehicle, a target power conversion station for converting the electric vehicle, for example, for a high-speed power driving condition, the control system may determine, first, a position of an exit capable of illustrating the current scene, and determine, according to the current position of the electric vehicle, the exit position, and the current range of the electric vehicle, a target power conversion station capable of successfully driving the electric vehicle from a plurality of power conversion stations near the exit position, and for an urban road driving condition, the control system may determine, directly according to the current position of the electric vehicle and the above-mentioned range, a target power conversion station capable of successfully driving the electric vehicle from a plurality of power conversion stations near the current position.

And step S106, controlling the electric vehicle to be in a reserved power exchange state, and sending the reserved power exchange order to the target power exchange station so as to enable the target power exchange station to be in a reserved state.

The reserved power change state may refer to a state in which it is determined that the electric vehicle will change power in a future period of time. The reserved state may refer to a state in which the target power conversion station is not available for converting power to another electric vehicle.

In an alternative of this embodiment, in order to ensure that the electric vehicle is smoothly powered on, after determining the target power exchange station, the control system may control the electric vehicle to be in the reserved power exchange state, and send a reserved power exchange order for power exchange to the target power exchange station, so that the target power exchange station may be in a reserved state, and a situation that the target power exchange station is being used when the electric vehicle travels to the target power exchange station is avoided.

In the embodiment of the invention, the running condition and the endurance mileage of the electric vehicle are determined; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition; the electric vehicle is controlled to be in a reserved power exchange state, the reserved power exchange order is sent to the target power exchange station, so that the target power exchange station is in the reserved state, the target power exchange station which can stably provide power exchange service for the electric vehicle is determined according to the current running working condition and the continuous mileage of the vehicle, the electric vehicle is controlled to be in the reserved power exchange state, the target power exchange station is controlled to be in the reserved state, and when the electric vehicle runs to the target power exchange station, the power exchange efficiency of the electric vehicle can be improved, the purpose of improving the power exchange efficiency of the electric vehicle under the condition of low power exchange cost is achieved, and the technical problem that the economical efficiency of the electric vehicle is poor in the related art is solved.

Further, determining a range of the electric vehicle includes: acquiring running data of the electric vehicle; extracting a plurality of influence factor features from the driving data, wherein the plurality of influence factor features are used for representing the features of a plurality of factors influencing the endurance mileage; and processing the influence factor characteristics by using a range prediction model to obtain the range.

The driving data may be data that may affect the range of the electric vehicle, and may include, but is not limited to: data such as vehicle type, battery SOC (State of Charge), SOH (State of Health), air conditioner power consumption, electric drive power consumption, battery cell temperature, room temperature, driver driving behavior severity, and sound power consumption.

In an alternative scheme of the embodiment, in order to improve accuracy of the determined range, the control system may first obtain current driving data of the electric vehicle, and perform feature extraction on the obtained driving data, so as to extract features of a plurality of factors that may affect the range, that is, the plurality of influence factor features, from the driving data, and then process the plurality of influence factor features by using a pre-trained range prediction model to fit the range that the electric vehicle can currently travel.

Further, the range prediction model is a model trained using travel data of a plurality of electric vehicles of the same type as the electric vehicle.

In an alternative scheme of the embodiment, considering that the requirements of different types of vehicles on electric power are different, this means that different vehicles will have different range under the same driving data, so different range prediction models can be respectively pre-trained for different types of vehicles, and the corresponding range prediction model for predicting the range of the current electric vehicle can be a model obtained by training with the range data of a plurality of electric vehicles of the same type as the current electric vehicle.

Further, responding to the driving condition includes: the highway driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps: generating at least one power conversion scheme based on a driving route of the electric vehicle and the range, wherein each power conversion scheme at least comprises a candidate power conversion station which passes through the driving route and is in the range; determining a total cost of the at least one power conversion scheme, wherein the total cost is used for representing a cost generated by providing power conversion service for the electric vehicle according to the corresponding power conversion scheme; and determining the candidate power exchange station in the power exchange scheme corresponding to the minimum total cost as the target power exchange station.

In an alternative scheme of this embodiment, when the current driving condition of the electric vehicle is the highway driving condition, in order to ensure that the target vehicle can smoothly perform power conversion, the control system may first generate at least one power conversion scheme according to the current driving route and the range of the electric vehicle, for example, may first screen out a plurality of power conversion stations on the current driving route, then screen out a plurality of power conversion stations in the current range of the vehicle from the plurality of power conversion stations, to serve as the candidate power conversion stations, and according to the positions of different candidate power conversion stations, the current position of the electric vehicle and the current driving route of the electric vehicle, generate a plurality of power conversion schemes to control the vehicle to travel to the corresponding candidate power conversion stations for power conversion, and each corresponding candidate power conversion station in the range, through which the driving route passes, may be included in each power conversion scheme. In order to perform a power change of the electric vehicle as efficiently as possible, the control system may further simulate the cost of the power change, i.e. the total cost, expected to occur when the electric vehicle is provided with a power change service according to different power change schemes, for example, the total cost of the power change scheme may be constructed according to the running cost of the vehicle to the corresponding candidate power change station in the power change scheme, the cost of the cost expected to be consumed when the power change is performed in the candidate power change station, and the like. And then taking the power conversion scheme corresponding to the minimum total cost as a target power conversion scheme, and taking the candidate power conversion station in the target power conversion scheme as a target power conversion station so as to avoid the situation that the user power conversion experience is influenced by the excessive total cost.

Further, generating at least one power conversion scheme based on the driving route of the electric vehicle and the range, including: determining a plurality of power exchange stations through which the travel route passes; determining at least one electric power plant based on the attribute information of the electric vehicle and the attribute information of the plurality of electric power plants, wherein the at least one electric power plant is used for characterizing the electric power plant that is allowed to provide electric power conversion service for the electric vehicle; and generating the at least one power conversion scheme based on the endurance mileage and the at least one power conversion station.

In an alternative aspect of the present embodiment, when generating at least one power exchange scheme under the driving condition of the highway, the control system may first determine a plurality of power exchange stations through which the current driving route passes, and according to attribute information of the vehicle, such as information of a vehicle model, a power exchange interface, a battery capacity, and the like, and attribute information of the plurality of power exchange stations, such as information of a model, a power exchange power, and the like, at least one power exchange station that can provide a power exchange service for the current electric vehicle is selected from the plurality of power exchange stations, and then generate the at least one power exchange scheme by using the above-mentioned range and the above-mentioned at least one power exchange station, for example, after determining the at least one power exchange station, the control system may first determine an outlet of the highway corresponding to the at least one power exchange station, and plan at least one new driving path according to the current position of the electric vehicle, the outlet position of the highway, the position of the power exchange station, and the current range, so that the vehicle can travel to the power exchange station to perform the power exchange within the range.

Further, determining a total cost of the at least one power conversion scheme includes: determining a vehicle queuing number of a candidate battery exchange station based on passenger flow data of the candidate battery exchange station in each battery exchange scheme by using a queuing time prediction model, wherein the vehicle queuing number is used for representing the number of vehicles waiting for executing battery exchange service before the electric vehicle reaches the candidate battery exchange station; determining a cost of providing a power conversion service for the electric vehicle by the candidate power conversion station based on the number of vehicle queues of the candidate power conversion station and the time of the electric vehicle reaching the candidate power conversion station; and obtaining the total cost of each power conversion scheme based on the sum of the costs of the candidate power conversion stations in each power conversion scheme.

In an alternative scheme of this embodiment, when determining the total cost of different power conversion schemes, passenger flow data of candidate power conversion stations in different power conversion schemes may be obtained first, and the passenger flow data is input into a pre-trained queuing time prediction model, so as to predict the number of vehicle queues of the candidate power conversion stations, that is, predict the number of other vehicles waiting for executing the power conversion service before the electric vehicle reaches the candidate power conversion station, and then simulate the cost of providing the power conversion service for the electric vehicle by using the candidate power conversion station according to the predicted number of vehicle queues and the time when the electric vehicle reaches the candidate power conversion station, and add the costs corresponding to different candidate power conversion stations in the power conversion scheme, so as to obtain the total cost corresponding to the power conversion scheme.

Further, determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a number of vehicle queues of the candidate battery replacement station and a time when the electric vehicle arrives at the candidate battery replacement station, comprising: obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the candidate power exchange station for providing power exchange service for the electric vehicle; determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time when the electric vehicle arrives at the candidate battery replacement station; and obtaining the weighted sum of the time cost and the cost of the candidate battery exchange station to obtain the cost of the candidate battery exchange station.

In an alternative scheme of this embodiment, when determining the cost of providing the electric service for the electric vehicle by the candidate battery exchange station, the vehicle queuing data of at least one battery exchange station may be obtained first, and multiplied by the preset vehicle battery exchange time to obtain the time cost of providing the electric service for the electric vehicle by the candidate battery exchange station, then, according to the time when the electric vehicle arrives at the candidate battery exchange station, the cost of providing the electric service for the electric vehicle by the candidate battery exchange station is determined, for example, the cost generated when the candidate battery exchange station is reserved, the cost generated when the candidate battery exchange station is used, and finally, the obtained time cost and the cost are weighted and summed, so as to obtain the cost of the candidate battery exchange station.

The formula for determining the time cost may be:

Cost _ti = t for _i x n ranks _i.

Wherein, tshift _i may refer to the vehicle battery change time of the ith battery change station, and n rows _i may refer to the vehicle queuing data of the ith battery change station.

Further, determining a cost of a charge for providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time the electric vehicle arrives at the candidate battery replacement station, comprising: determining a unit electricity price corresponding to the time when the electric vehicle arrives at the candidate power exchange station; determining the current residual capacity of the electric vehicle, the target residual capacity of the electric vehicle after the candidate power exchange station provides power exchange service for the electric vehicle, and the battery capacity of the electric vehicle; obtaining a difference value between the target residual electric quantity and the current residual electric quantity to obtain a residual electric quantity difference; and obtaining the product of the residual electricity difference, the battery electric quantity and the unit electricity price to obtain the cost.

In an alternative scheme of this embodiment, when determining the cost of providing the power conversion service for the electric vehicle by the candidate power conversion station, the unit power price corresponding to the time when the electric vehicle arrives at the candidate power conversion station may be determined first, the current remaining power of the electric vehicle, the target remaining power of the electric vehicle after providing the power conversion service for the electric vehicle by using the candidate power conversion station, and the battery power of the electric vehicle, where the current remaining power and the target remaining power may refer to the ratio of the power of the electric vehicle before and after the power conversion to the total power, and the battery power may refer to the overall capacity of the battery. The control system may obtain a difference in remaining power required to change the battery by using the candidate power change station according to a difference between the target remaining power and the current remaining power, for example, if the current remaining power is 5% and the target remaining power is 100%, the difference in remaining power may be 95%, and finally, the cost may be obtained according to a product of the difference in remaining power, the battery power and the unit power price.

The formula for determining the cost of the fee may be:

Cost_pi＝(SOC_Hi-SOC_Qi)×E_i×x_i。

The SOC _Hi may refer to the target remaining power of the ith battery exchange station, the SOC _Qi may refer to the current remaining power of the ith battery exchange station, the E _i may refer to the battery capacity, and x _i may refer to the unit electricity price of the ith battery exchange station.

The formula for determining the total cost by weighted summation of the time cost and the cost may be:

∑(ε₁Cost_ti+ε₂Cost_pi)。

wherein ε ₁ and ε ₂ can be set by the user at his own time and are not limited herein.

The determined minimum total cost may be:

Cost_L＝min(∑(ε₁Cost_ti+ε₂Cost_pi))。

Further, the method further comprises the steps of: determining a waiting time corresponding to the target battery exchange station based on vehicle queuing data of the target battery exchange station and battery storage information in the target battery exchange station, wherein the waiting time is used for representing the waiting time of the target battery exchange station for providing battery exchange service for the electric vehicle; outputting reservation prompt information in response to the waiting time being greater than or equal to the time when the electric vehicle arrives at the target battery exchange station, wherein the reservation prompt information is used for prompting generation of the reservation battery exchange order; and responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

In an alternative of this embodiment, the control system may further simulate, according to the vehicle queuing data of the target power exchange station and the battery storage information in the target power exchange station, a time from when the electric vehicle starts to travel from the current position to when the electric vehicle successfully provides the power exchange service for the electric vehicle by using the target power exchange station, that is, the waiting time, if the waiting time is shorter, for example, less than a time when the electric vehicle arrives at the target power exchange station, that means that the electric vehicle can directly perform power exchange when the electric vehicle travels to the target power exchange station, without waiting or reserving the target power exchange station; if the waiting time is longer, for example, the waiting time is greater than or equal to the time when the electric vehicle arrives at the target power exchange station, which means that the electric vehicle may not be able to immediately exchange power when traveling from the current position to the target power exchange station, at this time, the control system may output reservation prompt information to the user to prompt the user to generate a reservation power exchange order, and after the user reservation prompt information inputs a confirmation instruction, the control system may generate the reservation power exchange order according to the attribute information of the target power exchange station and the time when the electric vehicle arrives at the target power exchange station.

Further, responding to the driving condition includes: the urban road driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps: determining whether the electric vehicle has a power change requirement based on the endurance mileage; determining at least one battery exchange station within the range in response to the electric vehicle having a battery exchange demand; determining a total cost of the at least one power exchange station, wherein the total cost is used to characterize a cost of providing a power exchange service for the electric vehicle by a corresponding power exchange station; and determining the power exchange station corresponding to the minimum total cost as the target power exchange station.

In an alternative scheme of the embodiment, when the driving condition of the vehicle is an urban road driving condition, the control system may determine whether the electric vehicle has a power conversion requirement according to the current endurance mileage, that is, determine whether the electric vehicle can stably travel to the destination, if so, determine that the electric vehicle does not have the power conversion requirement, and if not, determine that the electric vehicle has the power conversion requirement. Under the condition that the electric vehicle is determined to have the power exchanging requirement, the control system can acquire at least one power exchanging station in the current endurance city, determine the total cost when the electric vehicle is exchanged by the power exchanging station, and then determine the power exchanging station corresponding to the minimum total cost as the target power exchanging station, so that the cost when the electric vehicle is exchanged is reduced.

Further, determining a total cost of the at least one power exchange station comprises: obtaining a distance cost of the at least one power exchange station based on a distance between the electric vehicle and the at least one power exchange station; determining a vehicle queuing number of the at least one battery exchange station based on the passenger flow data of the at least one battery exchange station by using a queuing time prediction model; obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the at least one power exchange station for providing power exchange service for the electric vehicle; determining a cost of charge for the at least one battery exchange station to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the at least one battery exchange station; obtaining a weighted sum of distance costs, time costs and cost costs of the at least one power exchange station, resulting in a total cost of the at least one power exchange station.

In an alternative scheme of this embodiment, when the vehicle is in the urban road driving condition and the total cost of the electric power exchange is determined, the distance cost corresponding to the electric power exchange station may be determined according to the distance between the electric vehicle and at least one electric power exchange station, then the queuing time prediction model is used to determine the number of vehicle queues corresponding to the electric power exchange station based on the passenger flow data of the electric power exchange station, and the number of vehicle queues is multiplied by the preset vehicle power exchange time to obtain the time cost of providing the electric power exchange service for the electric vehicle by using the electric power exchange station, and meanwhile, the cost of providing the electric power exchange service for the electric vehicle by using the electric power exchange station is determined according to the time of the electric vehicle traveling from the current position to the electric power exchange station, and finally the determined distance cost, time cost and cost are weighted and summed to obtain the total cost corresponding to the electric power exchange station.

Further, the method further comprises the steps of: outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation electricity change order; and responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

In an alternative scheme of this embodiment, the control system may further input, in a preset operation interface, reservation prompt information for reserving the battery exchange station, so as to prompt the user to generate a reserved battery exchange order, and generate the reserved battery exchange order according to attribute information of the target battery exchange station and time when the electric vehicle arrives at the target battery exchange station when a confirmation instruction for confirming the reservation prompt information is received by the user.

For easy understanding, fig. 2 is a schematic diagram of a power conversion control system of an electric vehicle according to an embodiment of the present application, and as shown in fig. 2, in the power conversion control system for converting power of the electric vehicle, at least: the client 201, the Battery exchange station terminal 202, the vehicle terminal 203, and the cloud 204, wherein a plurality of modules such as a wireless communication module 2031, a BMS (Battery MANAGEMENT SYSTEM ) 2032, a VDC (VEHICLE DYNAMICS Control) 2033, and an EPB (Electronic Parking Brake ) 2034, which are connected through a CAN bus 2035, may be configured in the vehicle terminal 203, and a module such as a wireless communication module 2021, an information storage module 2022, an information identification module 2023, and a Battery exchange module 2024 may be configured in the Battery exchange station terminal 202. The control system can acquire information 1 of the battery terminal 202 and information 2 of the vehicle terminal 203 through the client 201, and send information 3 of the vehicle terminal 203 to the battery terminal 202, between the battery terminal 202 and the vehicle terminal 203, information 4 of the battery terminal 202 and information 5 of the vehicle terminal 203 can be mutually sent through a wireless communication module, the battery terminal 202 can provide a battery replacement service 6 for the vehicle terminal 203 through a battery replacement module, information 7 of the vehicle terminal 203 and information 8 of the cloud 204 can be mutually transmitted between the vehicle terminal 203 and the cloud 204, in the battery terminal 202, information updating 9 can be mutually carried out between the wireless communication module and the information storage module, information storage and extraction 10 of the battery terminal 202 can be mutually carried out, information transmission 11 of the vehicle terminal 203 and information verification 12 can be mutually carried out between the wireless communication module and the information identification module, reserved information transmission 13 can be carried out between the information storage module and the information identification module, and information transmission 14 can be carried out between the information identification module and the battery replacement module.

Fig. 3 is a schematic diagram of a power exchange control process of an electric vehicle according to an embodiment of the present application, as shown in fig. 3, on the basis of the control system shown in fig. 2, the control system may determine a current driving condition of the electric vehicle, if the driving condition is a highway driving condition, the control system may first screen all power exchange stations capable of providing power exchange services for the electric vehicle on the current driving route, and obtain information of the power exchange stations, then determine a current range of the electric vehicle under a plurality of influence factor features corresponding to current driving data of the electric vehicle, according to the range, time cost, cost and other parameters when the electric vehicle drives from the current position to different power exchange stations, and may determine a total cost of different power exchange stations, the control system may determine the power exchange station with the minimum total cost as a target power exchange station, and obtain a waiting time corresponding to the target power exchange station, if the waiting time is less than a time when the electric vehicle drives from the current position to the target power exchange station, no reservation is required, if the waiting time is greater than or equal to a time when the electric vehicle drives from the current position to the target power exchange station, it means that the reservation information cannot be directly sent to the target power exchange station by using the reservation control system, and a prompt message can be directly sent to a user to confirm that the reservation information is available after the reservation information is generated. If the driving condition is the urban road driving condition, the control system can directly determine the current endurance mileage of the electric vehicle according to a plurality of influence factor characteristics in the current driving data, judge whether the electric vehicle has a power change requirement according to the endurance mileage, if so, determine a target power change station with the minimum total cost according to parameters such as distance cost, time cost, cost and the like corresponding to a plurality of power change stations in the endurance mileage, and then confirm in advance by a driver to generate a reserved power change order. After the reserved power change order is generated, the control system can further detect whether the reserved power change order is not completed currently, if yes, the control system can confirm whether the reserved power change order is cancelled currently to a user, if the reserved power change order is cancelled currently or not, the newly generated reserved power change order can be determined to be a target power change order so as to control the electric vehicle to change power according to the target power change order, if the reserved power change order is not cancelled currently, the control system can determine the reserved power change order to be the target power change order and control the vehicle to change power according to the target power change order.

Example 2

According to another aspect of the embodiment of the present application, corresponding to the above-described power conversion control method of an electric vehicle, there is also provided a power conversion control device of an electric vehicle, and fig. 4 is a block diagram of a power conversion control device of an electric vehicle according to an embodiment of the present application, as shown in fig. 4, the device including: a driving parameter determination module 402, a battery replacement station determination module 404, and a battery replacement order transmission module 406.

The driving parameter determining module 402 is configured to determine a driving condition and a range of the electric vehicle, where the driving condition includes one of the following: expressway driving conditions and urban road driving conditions; the battery replacement station determining module 404 is configured to determine a target battery replacement station based on the endurance mileage by using a battery replacement strategy corresponding to the driving condition; and the power change order sending module 406 is configured to control the electric vehicle to be in a reserved power change state, and send the reserved power change order to the target power change station, so that the target power change station is in a reserved state.

Further, the driving parameter determination module includes: a travel data acquisition unit configured to acquire travel data of the electric vehicle; an influence factor determining unit, configured to extract a plurality of influence factor features from the driving data, where the plurality of influence factor features are used to characterize features of a plurality of factors that have an influence on the endurance mileage; and the influence factor processing unit is used for processing the influence factor characteristics by using a range prediction model to obtain the range.

Further, the range prediction model is a model trained using travel data of a plurality of electric vehicles of the same type as the electric vehicle.

Further, the power exchange station determination module includes: the power conversion scheme generation unit is used for generating at least one power conversion scheme based on the driving route of the electric vehicle and the range, wherein each power conversion scheme at least comprises a candidate power conversion station which passes through the driving route and is in the range; a total cost determination unit for determining a total cost of the at least one power conversion scheme, wherein the total cost is used for representing a cost generated by providing power conversion service for the electric vehicle according to the corresponding power conversion scheme; and the battery replacement station determining unit is used for determining the candidate battery replacement station in the battery replacement scheme corresponding to the minimum total cost as the target battery replacement station.

Further, the power conversion scheme generating unit is further configured to: determining a plurality of power exchange stations through which the travel route passes; determining at least one electric power plant based on the attribute information of the electric vehicle and the attribute information of the plurality of electric power plants, wherein the at least one electric power plant is used for characterizing the electric power plant that is allowed to provide electric power conversion service for the electric vehicle; and generating the at least one power conversion scheme based on the endurance mileage and the at least one power conversion station.

Further, the total cost determination unit is further configured to: determining a vehicle queuing number of a candidate battery exchange station based on passenger flow data of the candidate battery exchange station in each battery exchange scheme by using a queuing time prediction model, wherein the vehicle queuing number is used for representing the number of vehicles waiting for executing battery exchange service before the electric vehicle reaches the candidate battery exchange station; determining a cost of providing a power conversion service for the electric vehicle by the candidate power conversion station based on the number of vehicle queues of the candidate power conversion station and the time of the electric vehicle reaching the candidate power conversion station; and obtaining the total cost of each power conversion scheme based on the sum of the costs of the candidate power conversion stations in each power conversion scheme.

Further, the total cost determination unit is further configured to: obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the candidate power exchange station for providing power exchange service for the electric vehicle; determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time when the electric vehicle arrives at the candidate battery replacement station; and obtaining the weighted sum of the time cost and the cost of the candidate battery exchange station to obtain the cost of the candidate battery exchange station.

Further, the total cost determination unit is further configured to: determining a unit electricity price corresponding to the time when the electric vehicle arrives at the candidate power exchange station; determining the current residual capacity of the electric vehicle, the target residual capacity of the electric vehicle after the candidate power exchange station provides power exchange service for the electric vehicle, and the battery capacity of the electric vehicle; obtaining a difference value between the target residual electric quantity and the current residual electric quantity to obtain a residual electric quantity difference; and obtaining the product of the residual electricity difference, the battery electric quantity and the unit electricity price to obtain the cost.

Further, the apparatus further includes: the waiting time determining module is used for determining the waiting time corresponding to the target battery exchange station based on the vehicle queuing data of the target battery exchange station and the battery storage information in the target battery exchange station, wherein the waiting time is used for representing the waiting time of the target battery exchange station for providing battery exchange service for the electric vehicle; the prompt information output module is used for responding to the fact that the waiting time is greater than or equal to the time when the electric vehicle arrives at the target battery exchange station, and outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation battery exchange order; and the electricity change order generation module is used for responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reserved electricity change order based on the attribute information of the target electricity change station and the time of the electric vehicle reaching the target electricity change station.

Further, responding to the driving condition includes: the urban road driving condition; the power exchange station determination module includes: the power-changing requirement determining unit is used for determining whether the electric vehicle has power-changing requirements or not based on the continuous mileage; a battery-replacement-station determining unit configured to determine at least one battery-replacement station within the range in response to the electric vehicle having a battery-replacement demand; a total cost determination unit for determining a total cost of the at least one power exchange station, wherein the total cost is used for representing a cost generated by the corresponding power exchange station for providing the electric vehicle with a power exchange service; and the target power exchange station determining unit is used for determining the power exchange station corresponding to the minimum total cost as the target power exchange station.

Further, the total cost determination unit is further configured to: obtaining a distance cost of the at least one power exchange station based on a distance between the electric vehicle and the at least one power exchange station; determining a vehicle queuing number of the at least one battery exchange station based on the passenger flow data of the at least one battery exchange station by using a queuing time prediction model; obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the at least one power exchange station for providing power exchange service for the electric vehicle; determining a cost of charge for the at least one battery exchange station to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the at least one battery exchange station; obtaining a weighted sum of distance costs, time costs and cost costs of the at least one power exchange station, resulting in a total cost of the at least one power exchange station.

Further, the apparatus further includes: the prompt information output module is used for outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation electricity change order; and the electricity change order generation module is used for responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reserved electricity change order based on the attribute information of the target electricity change station and the time of the electric vehicle reaching the target electricity change station.

Example 3

An embodiment of the present application also provides a vehicle including: a memory storing an executable program; and a processor for running a program, wherein the program when run performs the methods of the various embodiments of the present application.

Example 4

Embodiments of the present application also provide a computer-readable storage medium including a stored executable program, wherein the executable program when run controls a device in which the computer-readable storage medium resides to perform the methods of the embodiments of the present application.

Example 5

Embodiments of the application also provide a computer program product comprising a computer program which, when executed by a processor, implements the methods of the various embodiments of the application.

Example 6

Embodiments of the present application also provide a computer program product comprising a non-volatile computer readable storage medium for storing a computer program which, when executed by a processor, implements the methods of the various embodiments of the application.

Example 7

Embodiments of the present application also provide a computer program which, when executed by a processor, implements the methods of the various embodiments of the application described above.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (16)

1. A power conversion control method of an electric vehicle, comprising:

Determining a driving condition and a endurance mileage of an electric vehicle, wherein the driving condition comprises one of the following: expressway driving conditions and urban road driving conditions;

determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition;

And controlling the electric vehicle to be in a reserved power exchange state, and sending the reserved power exchange order to the target power exchange station so as to enable the target power exchange station to be in a reserved state.

2. The method of claim 1, wherein determining a range of the electric vehicle comprises:

Acquiring running data of the electric vehicle;

extracting a plurality of influence factor features from the driving data, wherein the plurality of influence factor features are used for representing the features of a plurality of factors influencing the endurance mileage;

and processing the influence factor characteristics by using a range prediction model to obtain the range.

3. The method according to claim 2, wherein the range prediction model is a model trained using travel data of a plurality of electric vehicles of the same type as the electric vehicle.

4. The method of claim 1, wherein responding to the driving condition comprises: the highway driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps:

generating at least one power conversion scheme based on a driving route of the electric vehicle and the range, wherein each power conversion scheme at least comprises a candidate power conversion station which passes through the driving route and is in the range;

determining a total cost of the at least one power conversion scheme, wherein the total cost is used for representing a cost generated by providing power conversion service for the electric vehicle according to the corresponding power conversion scheme;

and determining the candidate power exchange station in the power exchange scheme corresponding to the minimum total cost as the target power exchange station.

5. The method of claim 4, wherein generating at least one battery change scheme based on the travel route of the electric vehicle and the range comprises:

determining a plurality of power exchange stations through which the travel route passes;

Determining at least one electric power plant based on the attribute information of the electric vehicle and the attribute information of the plurality of electric power plants, wherein the at least one electric power plant is used for characterizing the electric power plant that is allowed to provide electric power conversion service for the electric vehicle;

And generating the at least one power conversion scheme based on the endurance mileage and the at least one power conversion station.

6. The method of claim 4, wherein determining the total cost of the at least one power conversion scheme comprises:

Determining a vehicle queuing number of a candidate battery exchange station based on passenger flow data of the candidate battery exchange station in each battery exchange scheme by using a queuing time prediction model, wherein the vehicle queuing number is used for representing the number of vehicles waiting for executing battery exchange service before the electric vehicle reaches the candidate battery exchange station;

Determining a cost of providing a power conversion service for the electric vehicle by the candidate power conversion station based on the number of vehicle queues of the candidate power conversion station and the time of the electric vehicle reaching the candidate power conversion station;

and obtaining the total cost of each power conversion scheme based on the sum of the costs of the candidate power conversion stations in each power conversion scheme.

7. The method of claim 6, wherein determining a cost for the candidate battery exchange to provide battery exchange service to the electric vehicle based on a number of vehicle queues for the candidate battery exchange and a time the electric vehicle arrives at the candidate battery exchange comprises:

Obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the candidate power exchange station for providing power exchange service for the electric vehicle;

determining a cost of providing a battery replacement service for the electric vehicle by the candidate battery replacement station based on a time when the electric vehicle arrives at the candidate battery replacement station;

And obtaining the weighted sum of the time cost and the cost of the candidate battery exchange station to obtain the cost of the candidate battery exchange station.

8. The method of claim 7, wherein determining a cost of charge for the candidate battery exchange to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the candidate battery exchange, comprises:

determining a unit electricity price corresponding to the time when the electric vehicle arrives at the candidate power exchange station;

Determining the current residual capacity of the electric vehicle, the target residual capacity of the electric vehicle after the candidate power exchange station provides power exchange service for the electric vehicle, and the battery capacity of the electric vehicle;

obtaining a difference value between the target residual electric quantity and the current residual electric quantity to obtain a residual electric quantity difference;

And obtaining the product of the residual electricity difference, the battery electric quantity and the unit electricity price to obtain the cost.

9. The method according to claim 4, wherein the method further comprises:

Determining a waiting time corresponding to the target battery exchange station based on vehicle queuing data of the target battery exchange station and battery storage information in the target battery exchange station, wherein the waiting time is used for representing the waiting time of the target battery exchange station for providing battery exchange service for the electric vehicle;

outputting reservation prompt information in response to the waiting time being greater than or equal to the time when the electric vehicle arrives at the target battery exchange station, wherein the reservation prompt information is used for prompting generation of the reservation battery exchange order;

And responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

10. The method of claim 1, wherein responding to the driving condition comprises: the urban road driving condition; determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition, wherein the method comprises the following steps:

determining whether the electric vehicle has a power change requirement based on the endurance mileage;

determining at least one battery exchange station within the range in response to the electric vehicle having a battery exchange demand;

Determining a total cost of the at least one power exchange station, wherein the total cost is used to characterize a cost of providing a power exchange service for the electric vehicle by a corresponding power exchange station;

And determining the power exchange station corresponding to the minimum total cost as the target power exchange station.

11. The method of claim 10, wherein determining the total cost of the at least one power exchange station comprises:

obtaining a distance cost of the at least one power exchange station based on a distance between the electric vehicle and the at least one power exchange station;

Determining a vehicle queuing number of the at least one battery exchange station based on the passenger flow data of the at least one battery exchange station by using a queuing time prediction model;

Obtaining the product of the number of vehicle queues of the at least one power exchange station and the vehicle power exchange time to obtain the time cost of the at least one power exchange station for providing power exchange service for the electric vehicle;

Determining a cost of charge for the at least one battery exchange station to provide battery exchange service to the electric vehicle based on a time the electric vehicle arrives at the at least one battery exchange station;

obtaining a weighted sum of distance costs, time costs and cost costs of the at least one power exchange station, resulting in a total cost of the at least one power exchange station.

12. The method according to claim 10, wherein the method further comprises:

outputting reservation prompt information, wherein the reservation prompt information is used for prompting generation of the reservation electricity change order;

And responding to the received confirmation instruction corresponding to the reservation prompt information, and generating the reservation power exchange order based on the attribute information of the target power exchange station and the time of the electric vehicle reaching the target power exchange station.

13. A battery change control device for an electric vehicle, comprising:

the driving parameter determining module is used for determining driving conditions and endurance mileage of the electric vehicle, wherein the driving conditions comprise one of the following: expressway driving conditions and urban road driving conditions;

the battery replacement station determining module is used for determining a target battery replacement station based on the endurance mileage by utilizing a battery replacement strategy corresponding to the driving condition;

And the power conversion order sending module is used for controlling the electric vehicle to be in a reserved power conversion state and sending the reserved power conversion order to the target power conversion station so as to enable the target power conversion station to be in a reserved state.

14. A vehicle, characterized by comprising:

A memory storing an executable program;

A processor for executing the program, wherein the program when run performs the method of any of claims 1 to 12.

15. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored executable program, wherein the executable program when run controls a device in which the computer readable storage medium is located to perform the method of any one of claims 1 to 12.

16. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 12.