Electric vehicle discharge revenue calculation system and method

Abstract

The invention discloses an electric vehicle discharge income calculation system and method, the system comprises a data acquisition device and a calculation device, the data acquisition device comprises a power sensing module, an information transmission module, a state monitoring module and a charge and discharge control module; the power sensing module and the state monitoring module are respectively connected with the information transmission module; the state monitoring module is connected with the charging and discharging control module; the power sensing module is used for sensing the states of the charging pile and the power battery; the state monitoring module is used for monitoring charging and discharging of the electric vehicle; and the calculation device is used for calculating the battery loss cost, the optimal discharge amount of discharge and the total cost and total income of discharge. According to the technical scheme, under the condition that the endurance requirement of a user is met, the discharge capacity capable of bringing the highest economic benefit to a vehicle owner is comprehensively calculated, so that direct economic benefit is brought to the vehicle owner, and the vehicle using cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric vehicle battery charging and discharging, and in particular relates to an electric vehicle discharge benefit calculation system and method. Background Art

[0002] With the opening of the power market and the development of energy internet, a large number of distributed energy, distributed energy storage equipment, and smart power consumption equipment have participated in the operation of the power market. With the support of government policies in various countries, the number of new energy vehicles has increased day by day, becoming one of the main user groups in the power market.

[0003] As a special load, electric vehicles have uncertainties in time, space and random behavior, that is, the charging location, charging time and driving characteristics of electric vehicles are uncertain. When a large number of electric vehicles are connected to the power grid in an unordered manner, it may cause a sharp increase in the load of the power grid, increase the peak and valley values ​​of the power grid load, and bring challenges to the stability and security of the power grid. But at the same time, new energy vehicles can also be used as distributed power sources, discharging to the power grid through V2G (Vehicle to Grid) technology to participate in the load regulation of the power grid, such as load peak and valley difference regulation, frequency regulation, etc. Through the scientific deployment of the power grid, the pressure on the power grid can be greatly alleviated and the stable operation of the power grid system can be maintained.

[0004] In terms of commercial operation, the grid side is the main work body, and the vehicle side is usually in a passive role. Users have a low degree of participation in the vehicle-grid interaction process. In terms of economic benefit distribution, the loss of vehicle charging and discharging life is less considered, and the bargaining power between users and the grid is weak, which is not conducive to the long-term development of vehicle-grid interaction. Due to the lack of accurate estimation of the available V2G charging and discharging capacity of vehicles, vehicles are relatively conservative in the V2G participation process, and the distributed energy storage potential of new energy vehicles is not fully utilized. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a system and method for calculating the discharge benefit of an electric vehicle, which will locate the vehicle position and the charging station position, obtain the real-time electricity price and the vehicle battery power and loss degree, and comprehensively calculate the discharge amount that can bring the highest economic benefit to the car owner while meeting the user's endurance requirements, thereby bringing direct economic benefits to the car owner and reducing the cost of using the car.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] A discharge benefit calculation system for an electric vehicle comprises: a data acquisition device and a calculation device, wherein the data acquisition device comprises: a power sensing module, an information transmission module, a state monitoring module and a charge and discharge control module; the power sensing module and the state monitoring module are respectively connected to the information transmission module; the state monitoring module is connected to the charge and discharge control module;

[0008] Among them, the power sensing module is used to sense the status of the charging pile and the power battery; the status monitoring module is used to monitor the charging and discharging of the electric vehicle; the calculation device is used to calculate the optimal discharge amount and the total cost and total benefit of the discharge.

[0009] Preferably, the power sensing module includes: a current detection and acquisition unit, a voltage detection and acquisition unit, and a battery health detection and acquisition unit; wherein the current detection and acquisition unit is used to collect and read current signals; the voltage detection and acquisition unit is used to collect and read voltage signals; and the battery health detection and acquisition unit is used to read the loss degree of the vehicle power battery.

[0010] Preferably, the information transmission module includes: a data transmission unit, a wireless communication protocol processing unit, a data security and privacy unit, a remote command and control unit, and an error handling and logging unit; wherein the data transmission unit is used to transmit data; the wireless communication protocol processing unit is used to process the protocol used in the communication process; the data security and privacy unit is used to provide encryption security for data; the remote command and control unit is used to send commands or control instructions remotely; and the error handling and logging unit is used to monitor and handle errors in the communication process, record logs and provide diagnostic information.

[0011] Preferably, the status monitoring module includes: a real-time monitoring unit, a vehicle positioning unit, and a data evaluation and status classification unit; wherein the real-time monitoring unit is used to monitor the real-time status of the electric vehicle and the charging pile; the vehicle positioning unit is used to determine the location of the vehicle; and the data evaluation and status classification unit is used to classify the existing power of the electric vehicle.

[0012] Preferably, the charging and discharging control module includes: a charging control unit, a discharging control unit, a charging protocol and a communication protocol unit, and an energy management unit; wherein the charging control unit and the discharging control unit are used to control the charging and discharging of the charging pile; the charging protocol and the communication protocol unit are used to define the rules and standards for communication and data exchange between different devices.

[0013] Preferably, the computing device comprises: a data acquisition module and a data processing module; wherein,

[0014] The data acquisition module is used to obtain the location of the charging station, the number of idle charging piles in the charging station, the construction status of the relevant road section, the number of lanes on the relevant road section, the number of vehicles on the road, the real-time average speed and speed limit of the relevant road section, and the charging and discharging prices of each charging station;

[0015] The data processing module is used to obtain the optimal discharge amount and the total cost and total benefit of the discharge according to the information obtained by the data acquisition module and the data acquisition device.

[0016] Preferably, the computing device further comprises: a data storage module for storing vehicle information, electricity price data, user information, path planning results, energy consumption and revenue calculation results.

[0017] The present invention also provides a method for calculating the discharge income of an electric vehicle, comprising:

[0018] Step S1: The vehicle location, vehicle power battery level, and battery health are collected through the status monitoring module and the data acquisition module, and the location of the charging station and the real-time electricity price of each charging station are obtained at the same time;

[0019] Step S2: Obtain the real-time average speed of each route and each section, calculate the equivalent distance based on the average speed, and perform secondary planning of the route by matching the average speed with the average energy consumption of vehicles in the database.

[0020] Step S3: After the charging pile is connected to the electric vehicle, the power of the charging pile is collected in real time through the power state sensing module;

[0021] Step S4, planning a route from the charging station to the destination, estimating the required power, increasing the maximum power by 5% as a reserved power, and stopping the discharge through the charge and discharge control module when the battery SOC reaches the reserved power;

[0022] Step S5: Calculate the optimal discharge capacity of this discharge and the total cost and total benefit of this discharge.

[0023] Compared with the prior art, the advantages of the present invention include:

[0024] 1. It can realize remote monitoring of charging piles, dynamically allocate computing resources, improve system detection accuracy, speed up system response, and the hardware system bears less computing power, which can reduce the cost of the hardware system.

[0025] 3. Take battery loss into account in the owner’s car use cost. According to the battery loss model, obtain the battery loss cost caused by charging and discharging, and then combine it with the real-time electricity price to calculate the highest profit.

[0026] 4. Establish an energy consumption and vehicle speed database based on big data to achieve accurate energy consumption estimation and meet the car owner's endurance needs. After the car owner enters the destination, calculate again to determine the amount of electricity required to reach the destination to ensure that the remaining electricity can meet the car owner's needs.

[0027] 5. It will increase the benefits that energy vehicle owners can obtain from participating in vehicle-grid interactions. Through reasonable discharge calculation, owners can obtain more economic benefits and reduce vehicle use costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0029] Figure 1 This is a schematic diagram of the structure of the electric vehicle discharge benefit calculation system of the present invention;

[0030] Figure 2 It is a schematic diagram of the working scene of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0033] Embodiment 1:

[0034] like Figure 1 As shown, an embodiment of the present invention provides an electric vehicle discharge benefit calculation system, which counts the historical time periods with low charging prices and time periods with high discharge prices in a database, and performs charging and discharging in these two time periods to obtain higher economic benefits, including: a data acquisition device and a calculation device, the data acquisition device includes: a power sensing module, an information transmission module, a state monitoring module and a charge and discharge control module; the power sensing module and the state monitoring module are respectively connected to the information transmission module; the state monitoring module is connected to the charge and discharge control module. The application scenarios of the electric vehicle discharge benefit calculation system of the present invention are as follows: Figure 2As shown, the power station is used to supply power to the power grid, the charging piles at the residence are connected to the power grid, and the electric vehicles are connected to the charging piles for charging; the charging station is a charging station at the workplace, which is also connected to the power grid, and the electric vehicles can be charged and discharged here.

[0035] As an implementation method of an embodiment of the present invention, a power sensing module is used to sense the status of a charging pile and a power battery to provide real-time and accurate data during the charging process of an electric vehicle. The power sensing module includes: a current detection and acquisition unit, a voltage detection and acquisition unit, and a battery health detection and acquisition unit; wherein the current detection and acquisition unit is used to collect and read current signals; the voltage detection and acquisition unit is used to collect and read voltage signals; and the battery health detection and acquisition unit is used to read the loss of the vehicle power battery.

[0036] As an implementation method of an embodiment of the present invention, an information transmission module is used to realize safe and efficient remote data transmission to user-related devices. The information transmission module includes: a data transmission unit, a wireless communication protocol processing unit, a data security and privacy unit, a remote command and control unit, and an error handling and logging unit; wherein the data transmission unit is used to transmit data; the wireless communication protocol processing unit is used to process the protocol used in the communication process; the data security and privacy unit is used to provide encryption security of data; the remote command and control unit is used to send commands or control instructions remotely; the error handling and logging unit is used to monitor and handle errors in the communication process, record logs and provide diagnostic information.

[0037] As an implementation mode of an embodiment of the present invention, the status monitoring module includes: a real-time monitoring unit, a vehicle positioning unit, and a data evaluation and status classification unit; wherein the real-time monitoring unit is used to monitor the real-time status of the electric vehicle and the charging pile; the vehicle positioning unit is used to determine the location of the vehicle; the data evaluation and status classification unit is used to classify the existing power of the electric vehicle.

[0038] Furthermore, the status monitoring module is used to monitor and evaluate the charging and discharging of electric vehicles and classify the status levels of electric vehicles.

[0039] (1) Monitor battery health;

[0040] (2) Monitor the charging and discharging power;

[0041] (3) The battery SOC is monitored during the charging and discharging process, and the electric vehicle status level is classified according to the monitoring results, including: full charge, sufficient charge, normal charge, low charge and insufficient charge.

[0042] As an implementation mode of an embodiment of the present invention, the charging and discharging control module includes: a charging control unit, a discharging control unit, a charging protocol and a communication protocol unit, and an energy management unit; wherein the charging control unit and the discharging control unit are used to control the charging and discharging of the charging pile; the charging protocol and the communication protocol unit are used to define the rules and standards for communication and data exchange between different devices.

[0043] As an implementation of an embodiment of the present invention, a computing device includes: a data acquisition module, a data processing module and; wherein,

[0044] The data acquisition module is used to obtain the location of the charging station, the number of idle charging piles in the charging station, the construction status of the relevant road section, the number of lanes on the relevant road section, the number of vehicles on the road, the real-time average speed and speed limit of the relevant road section, and the charging and discharging prices of each charging station;

[0045] The data processing module is used to obtain the optimal discharge amount and the total cost and total benefit of the discharge according to the information obtained by the data acquisition module and the data acquisition device.

[0046] The data storage module is used to store vehicle information, electricity price data, user information, path planning results, energy consumption and profit calculation results.

[0047] Furthermore, the processing of the data processing module includes:

[0048] (1) Preliminary planning of the route from the vehicle location to the charging station location;

[0049] (2) Based on the average vehicle speed and speed limit of the relevant road sections, the road congestion of each road section is classified into five levels: smooth, basically smooth, slightly congested, moderately congested, and severely congested. The actual distance is treated as equivalent by the road smoothness coefficient and the original distance, and the equivalent distance is calculated; among them, the road smoothness coefficient is 1 when the road is smooth, and as the road congestion deepens, the road smoothness coefficient will gradually increase;

[0050] (3) Based on the equivalent distance calculation results, the 1-3 nearest charging stations are compared, and the route is replanned to generate a path for the vehicle to the destination charging station;

[0051] (4) Match the average vehicle speed with the average energy consumption in the database to estimate the energy consumption of each route;

[0052] (5) Calculate the cost of battery loss caused by driving to the charging station and the cost of battery loss caused by this discharge, as well as the total cost including the battery loss cost, the cost of replenishing electricity, and the discharge benefit;

[0053] (6) Calculate the amount of electricity required to leave the charging station and drive to the destination. Add 5% of the total amount of electricity to the reserved amount.

[0054] (7) Calculate the maximum benefit that can be obtained from this discharge and its corresponding power according to the DP algorithm.

[0055] Furthermore, based on the calculation results of the equivalent distance, the 1-3 nearest charging stations are compared, and the route is secondary planned as follows: a database corresponding to the average vehicle speed and the average energy consumption value is established; the average energy consumption value in the database is matched according to the average vehicle speed, and then the overall energy consumption corresponding to the road section is calculated; after the path planning module calculates the equivalent distance of the road, the overall expected energy consumption of the vehicle under different driving paths is calculated based on statistical data.

[0056] Furthermore, the total cost including battery loss cost and discharge cost is calculated as follows:

[0057]

[0058] in, represents the charging cost, represents the battery loss cost, is the discharge gain. It is related to charging price and charging power. Related to discharge price and discharge power

[0059]

[0060] Among them, p c (i A , k, t) and p d (i A , k, t) is i A The charging / discharging power of the kth charging pile at time t; ω c (i A , t) and ω d (i A , t) is the charge / discharge price at time t; [T s , T e ] is the charge / discharge time interval.

[0061] Battery loss cost It is related to the charging capacity, discharging capacity and battery unit power loss rate.

[0062]

[0063] Among them, ω loss (i V ) is the unit battery loss rate, ranging from [0, 1], [T s1 , Te1 ] and [T s2 , T e2 ] are the charging and discharging time periods respectively.

[0064]

[0065] Among them, SOC(i V , t)∈[0,1], represents the power percentage, EV needs to be less than the maximum battery capacity SOC when charging max (i V ); When discharging, the minimum power SOC that must meet travel needs min (i V ), b is the total battery charge.

[0066] Furthermore, the maximum benefit that can be obtained from this discharge and its corresponding power are calculated according to the DP algorithm: the benefit per unit discharge is determined based on the queried and collected information; the energy consumption is estimated based on the owner's path planning results from the charging station to the destination to ensure that the remaining power meets the endurance requirements; the maximum discharge amount is calculated based on the existing power and the reserved power, and the maximum benefit is calculated in combination with the real-time electricity price.

[0067] Embodiment 2:

[0068] The present invention also provides a method for calculating the discharge income of an electric vehicle. In the application scenario, when the owner parks the vehicle at a charging station next to the mall while shopping, the electric vehicle is connected to the charging pile. The user does not use the vehicle during this stage, so the user can benefit based on the price difference between charging and discharging. Considering that most users will not install a data acquisition device in the mall, this method will assume that the data acquisition device has been installed. Including:

[0069] Step S1: The vehicle location, vehicle power battery level, and battery health are collected through the status monitoring module and the data acquisition module, and the location of the charging station and the real-time electricity price of each charging station are obtained at the same time;

[0070] Step S2: preliminarily plan the route of the vehicle to the nearest three charging stations. The user can also directly specify the charging station; obtain the real-time average speed of each section of each route, calculate the equivalent distance based on the average speed, match the average speed with the average energy consumption of the vehicles in the database, and perform secondary planning on the route;

[0071] Step S3: After the charging pile is connected to the electric vehicle, the power of the charging pile is collected in real time through the power state sensing module;

[0072] Step S4, planning a route from the charging station to the destination, estimating the required power, increasing the maximum power by 5% as a reserved power, and stopping the discharge through the charge and discharge control module when the battery SOC reaches the reserved power;

[0073] Step S5: Calculate the optimal discharge capacity of this discharge and the total cost and total benefit of this discharge.

[0074] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A system for calculating the discharge income of an electric vehicle, characterized in that: include: The data acquisition device and the computing device include: a power sensing module, an information transmission module, a state monitoring module and a charge and discharge control module; the power sensing module and the state monitoring module are respectively connected to the information transmission module; the state monitoring module is connected to the charge and discharge control module; Among them, the power sensing module is used to sense the status of the charging pile and the power battery; the status monitoring module is used to monitor the charging and discharging of the electric vehicle; the calculation device is used to calculate the optimal discharge amount and the total cost and total benefit of the discharge.

2. The electric vehicle discharge benefit calculation system as claimed in claim 1, characterized in that: The power sensing module includes: a current detection and acquisition unit, a voltage detection and acquisition unit, and a battery health detection and acquisition unit; wherein the current detection and acquisition unit is used to collect and read current signals; the voltage detection and acquisition unit is used to collect and read voltage signals; and the battery health detection and acquisition unit is used to read the loss of the vehicle's power battery.

3. The electric vehicle discharge benefit calculation system as claimed in claim 2, characterized in that: The information transmission module includes: a data transmission unit, a wireless communication protocol processing unit, a data security and privacy unit, a remote command and control unit, and an error handling and logging unit; wherein the data transmission unit is used to transmit data; the wireless communication protocol processing unit is used to process the protocol used in the communication process; the data security and privacy unit is used to provide data encryption security; the remote command and control unit is used to send commands or control instructions remotely; the error handling and logging unit is used to monitor and handle errors in the communication process, record logs and provide diagnostic information.

4. The electric vehicle discharge benefit calculation system as claimed in claim 3, characterized in that: The status monitoring module includes: a real-time monitoring unit, a vehicle positioning unit, and a data evaluation and status classification unit; wherein the real-time monitoring unit is used to monitor the real-time status of the electric vehicle and the charging pile; the vehicle positioning unit is used to determine the location of the vehicle; and the data evaluation and status classification unit is used to classify the existing power of the electric vehicle.

5. The electric vehicle discharge benefit calculation system as claimed in claim 4, characterized in that: The charge and discharge control module includes: a charge control unit, a discharge control unit, a charge protocol and a communication protocol unit, and an energy management unit; wherein the charge control unit and the discharge control unit are used to control the charge and discharge of the charging pile; the charge protocol and the communication protocol unit are used to define the rules and standards for communication and data exchange between different devices.

6. The electric vehicle discharge benefit calculation system as claimed in claim 5, characterized in that: The computing device includes: a data acquisition module and a data processing module; wherein, The data acquisition module is used to obtain the location of the charging station, the number of idle charging piles in the charging station, the construction status of the relevant road section, the number of lanes on the relevant road section, the number of vehicles on the road, the real-time average speed and speed limit of the relevant road section, and the charging and discharging prices of each charging station; The data processing module is used to obtain the optimal discharge amount and the total cost and total benefit of the discharge according to the information obtained by the data acquisition module and the data acquisition device.

7. The electric vehicle discharge benefit calculation system as claimed in claim 6, characterized in that: The computing device also includes: a data storage module for storing vehicle information, electricity price data, user information, path planning results, energy consumption and benefit calculation results.

8. A method for calculating the discharge income of an electric vehicle, characterized in that: include: Step S1: The vehicle location, vehicle power battery level, and battery health are collected through the status monitoring module and the data acquisition module, and the location of the charging station and the real-time electricity price of each charging station are obtained at the same time; Step S2: Obtain the real-time average speed of each route and each section, calculate the equivalent distance based on the average speed, and perform secondary planning of the route by matching the average speed with the average energy consumption of vehicles in the database. Step S3: After the charging pile is connected to the electric vehicle, the power of the charging pile is collected in real time through the power state sensing module; Step S4, planning a route from the charging station to the destination, estimating the required power, increasing the maximum power by 5% as a reserved power, and stopping the discharge through the charge and discharge control module when the battery SOC reaches the reserved power; Step S5: Calculate the optimal discharge capacity of this discharge and the total cost and total benefit of this discharge.

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