Intelligent management method for automobile charging system

Abstract

The invention relates to the field of charging management of charging piles, and discloses an intelligent management method for an automobile charging system, and the method comprises the following steps: 1, obtaining vehicle information which comprises basic information and current information; the basic information comprises the vehicle type, the charging power and the battery capacity; the current information comprises the current battery use condition and the rechargeable capacity of the vehicle; 2, acquiring the utilization rate of the current charging station; pushing the queuing time of the current charging station according to different utilization rates; and 3, obtaining the current time, pushing corresponding estimated charging fee information to the user according to the vehicle information, the current utilization rate of the charging station and the current time, and calculating the fee in real time after charging. According to the charging management method, the use efficiency of the charging station can be improved, the charging waiting time of a pure electricity user can be shortened in peak time, the rights and interests of all parties are balanced, and benefit maximization is achieved.

Description

Technical Field

[0001] The present invention relates to the field of charging pile charging, and in particular to an intelligent management method and a dehumidifier for an automobile charging system. Background Art

[0002] With the development of new energy vehicles, new energy vehicles have been rapidly popularized, and the number of charging stations that provide charging services for electric vehicles has also increased rapidly. Highway service areas provide refueling services for traditional vehicles. At the same time, in order to cope with the development of the times, it has become standard to set up charging stations in service areas. At present, the Chinese patent application publication CN116631075A provides a charging station parking management and charging system and method.

[0003] Since new energy vehicles have two power forms, plug-in hybrid and pure electric, the power consumption of pure electric driving during high-speed driving is generally higher than that in urban areas; therefore, the economic advantage of pure electric driving of hybrid vehicles at high speeds is not much compared to fuel. However, many hybrid vehicles still choose to charge at highway service areas, which has aggravated the shortage of charging piles during holidays. Summary of the invention

[0004] The present invention aims at the shortcomings of the prior art and provides an intelligent management method for a vehicle charging system.

[0005] In order to solve the above technical problems, the present invention is solved by the following technical solutions:

[0006] An intelligent management method for a vehicle charging system, the management method comprising the following steps:

[0007] 1. Obtain vehicle information, which includes basic information and current information; basic information includes vehicle model, charging power, and battery capacity; current information includes the current battery usage and rechargeable capacity of the vehicle;

[0008] 2. Obtain the utilization rate of the current charging station; and push the queue time of the current charging station to the user according to different utilization rates;

[0009] 3. Obtain the current time and push the corresponding estimated charging fee information to the user based on the vehicle information, the current usage rate of the charging station and the current time, and calculate the fee in real time after charging.

[0010] Preferably, the processor obtains the current vehicle information through the applet or app binding, and defines the corresponding charging standard according to the vehicle power type. The basic charging standard for the hybrid power mode is A0, and the basic charging standard for the pure electric power mode is B0; the charging power of the vehicle is defined as p, the vehicle battery capacity is C0, and the rechargeable capacity of the vehicle battery is c;

[0011] Push estimated charging fee information to hybrid vehicle users:

[0012] S1(p)=S10(p)+A0(p)c

[0013] S1(p) represents the estimated charge information received by the user when the charging power is p; S10 is the current basic charge;

[0014] The estimated charging information pushed to users of pure electric power mode vehicles is:

[0015] S2(p)=S20(p)+B0(p)c

[0016] S2(p) represents the estimated charge information received by the user when the charging power is p, where S20 is the current basic charge.

[0017] Preferably, S10 and S20 are functions of p, and the current values ​​of S10 and S20 are defined by calibration. The smaller p is, the larger S10 and S20 are; the larger p is, the smaller S10 and S20 are; under the same p value, S10≥S20.

[0018] Preferably, A0=f1(p,C0,c);

[0019] In the formula, A0 is related to charging power p and battery capacity C O and a function of the charge c;

[0020] B0=f2(p,C0)

[0021] In the formula, B0 is a function of the charging power p and the charged amount c. The larger the charging power p and c, the smaller B0.

[0022] Preferably, A0 and B0 are piecewise functions, and the charging standards under different conditions are defined by calibration; under the same charging power, the charging charging standards are designed in stages, the charging power fee for the front stage is higher than that for the rear stage, and the charging power fee for the rear stage is higher than that for the middle stage.

[0023] Preferably, A0, B0, S10, and S20 are all functions of time, and different charging standards are implemented in different time periods.

[0024] Preferably, if the current charging station utilization rate is greater than or equal to 95%, the hybrid vehicle will be charged an additional waiting fee E0;

[0025] S1(p)=S10(p)+A0(p)c+E0.

[0026] As a preferred method, the current vehicle power consumption per 100 kilometers is f according to the vehicle information; the fuel consumption per 100 kilometers of an ordinary family car is defined as a, and the current oil price per liter is obtained through the Internet as d: If the current charging station utilization rate is greater than or equal to 95%, then

[0027] S1(p)*f / c≥ad.

[0028] Preferably, under the premise that the vehicle is a hybrid vehicle, if it is identified that the current vehicle charging power p is less than the set threshold p0, the service fee e is increased;

[0029]

[0030] Where f is the current vehicle electricity consumption per 100 kilometers; a is the fuel consumption per 100 kilometers of an ordinary family car, and d is the current oil price per liter obtained through the Internet.

[0031] As a preference, when the vehicle is fully charged, the overtime occupancy fee G will be calculated.

[0032] G=g*(T-T0),

[0033] Among them, g is the unit price per minute, T0 is the free time period, and T is the time from full charge to the present.

[0034] This solution restricts hybrid vehicles through vehicle information combined with the current usage of charging piles, thereby balancing the rights and interests between pure electric users and hybrid users, and maximizing the efficiency of charging stations without harming the interests of hybrid users. DETAILED DESCRIPTION

[0035] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] Example 1

[0037] An intelligent management method for a vehicle charging system, the management method comprising the following steps:

[0038] 1. Obtain vehicle information, which includes basic information and current information; basic information includes vehicle model, charging power, and battery capacity; current information includes the current battery usage and rechargeable capacity of the vehicle;

[0039] 2. Obtain the utilization rate of the current charging station; and push the queue time of the current charging station to the user according to different utilization rates;

[0040] 3. Obtain the current time and push the corresponding estimated charging fee information to the user based on the vehicle information, the current usage rate of the charging station and the current time, and calculate the fee in real time after charging.

[0041] When registering for the app or mini program, you can obtain the current vehicle model information. The processor obtains basic parameters such as the battery size and charging power of the current user's vehicle based on the background network information.

[0042] After the processor obtains the current vehicle information through the mini program or app binding, it defines the corresponding charging standards according to the vehicle power type. The basic charging standard for hybrid power mode is A0, and the basic charging standard for pure electric power mode is B0; the vehicle's charging power is defined as p, the vehicle's battery capacity is C0, and the vehicle's battery rechargeable capacity is c; because hybrid vehicles can still be driven using oil, in some cases it is necessary to increase the size of A0 to balance the rights and interests with pure electric users, while also improving the operating efficiency of the charging station.

[0043] Push estimated charging fee information to hybrid vehicle users:

[0044] S1(p)=S10(p)+A0(p)c

[0045] S1(p) represents the estimated charge information received by the user when the charging power is p; S10 is the current basic charge; the estimated fee is pushed to the user before charging, before the user scans the code or inquires, so that the user, especially the hybrid user, can determine whether charging is still needed, and divert the charge at the beginning to alleviate the charging pressure of the charging station.

[0046] The estimated charging information pushed to users of pure electric power mode vehicles is:

[0047] S2(p)=S20(p)+B0(p)c

[0048] S2(p) represents the estimated charging information received by the user when the charging power is p; S20 is the current basic charge. Since different vehicles have different charging powers, in order to improve charging efficiency, separate charges are designed for vehicles with different powers to prevent low-charging-power vehicles from occupying charging piles for a long time.

[0049] Among them, S10 and S20 are functions about p, and the current values ​​of S10 and S20 are defined by calibration. The smaller p is, the larger S10 and S20 are; the larger p is, the smaller S10 and S20 are; under the same p value, S10 ≥ S20. In this embodiment, when the p value reaches the set value, S20 is 0. Among them, S10 and S20 are piecewise functions about p; this reminds hybrid vehicles and vehicles with low charging power not to occupy charging piles for a long time.

[0050] As mentioned above, A0 = f1(p, C0, c); where A0 is the charging power p, battery capacity C Oand the function of the charged amount c; specifically, the smaller the battery capacity C0, the larger its A0. A0 is a piecewise function of the charged amount c, for example, 2.5 yuan / kWh for the first 5 kWh, 2 yuan / kWh for 5-15 kWh, 1.5 yuan / kWh for 15-30 kWh, 1 yuan / kWh for 30-50 kWh, and 2 yuan / kWh after 50 kWh. That is, fully utilize the fast charging range of the vehicle for charging, avoid the battery still occupying the charging pile when the power drops when charging the last 20%, and also put charging pressure on hybrid vehicles with low battery capacity.

[0051] B0=f2(p,C0)

[0052] In the formula, B0 is a function of the charging power p and the amount of charge c. The greater the charging power p and c, the smaller B0. B0 is a piecewise function of the amount of charge c, for example, 2 yuan per kWh for the first 30 kWh, 1 yuan per kWh for 30 to 50 kWh, and 2 yuan per kWh after 50 kWh. That is, make full use of the fast charging range of the vehicle to charge, and avoid the battery still occupying the charging pile when the power drops when the battery is charged to the last 20%.

[0053] Among them, A0 and B0 are piecewise functions, which define the charging standards under different conditions through calibration. Under the same charging power, the charging charging standards are designed in stages, the charging power cost of the front stage is higher than that of the rear stage, and the charging power cost of the rear stage is higher than that of the middle stage.

[0054] Preferably, A0, B0, S10, and S20 are all functions of time, and different charging standards are implemented in different time periods.

[0055] In this embodiment, if the current charging station utilization rate is greater than or equal to 95%, the hybrid vehicle will be charged an additional waiting fee E0; if the utilization rate is greater than 95%, it means that the current charging station is saturated.

[0056] S1(p)=S10(p)+A0(p)c+E0.

[0057] In this embodiment, the current vehicle power consumption per 100 kilometers is f according to the vehicle information; the fuel consumption per 100 kilometers of an ordinary family car is defined as a, and the current oil price per liter is obtained through the Internet as d: If the current charging station utilization rate is greater than or equal to 95%, then

[0058] S1(p)*f / c≥ad.

[0059] This approach can reduce the economic efficiency of hybrid charging when charging stations are busy, making it roughly the same as the price of oil, thereby reducing the charging desire of hybrid users and improving the efficiency of charging stations.

[0060] Under the premise that the vehicle is a hybrid vehicle, if it is identified that the current vehicle charging power p is less than the set threshold p0, the service fee e is increased;

[0061]

[0062] In the formula, f is the current vehicle power consumption per 100 kilometers; a is the fuel consumption per 100 kilometers of an ordinary family car, and d is the current oil price per liter obtained through the Internet. This method can limit the long-term charging of low-power users and improve the efficiency of charging stations.

[0063] When the vehicle is full, the overtime occupancy fee G will be charged.

[0064] G=g*(T-T0),

[0065] Among them, g is the unit price per minute, T0 is the free time period, and T is the time from full charge to the present.

[0066] This solution restricts hybrid vehicles through vehicle information combined with the current usage of charging piles, thereby balancing the rights and interests between pure electric users and hybrid users, and maximizing the efficiency of charging stations without harming the interests of hybrid users.

[0067] Example 2

[0068] Based on Example 1, the free time period T0 is 15 minutes.

[0069] Example 3

[0070] Based on Example 1, the threshold value p0 is 10 kW.

Claims

1. An intelligent management method for a vehicle charging system, characterized in that: The management method comprises the following steps:

1. Obtain vehicle information, which includes basic information and current information; basic information includes vehicle model, charging power, and battery capacity; current information includes the current battery usage and rechargeable capacity of the vehicle; 2. Obtain the utilization rate of the current charging station; and push the queue time of the current charging station to users according to different utilization rates; 3. Obtain the current time and push the corresponding estimated charging fee information to the user based on the vehicle information, the current usage rate of the charging station and the current time, and calculate the fee in real time after charging.

2. The intelligent management method of a vehicle charging system according to claim 1, characterized in that: The processor obtains the current vehicle information through the applet or app binding, and defines the corresponding charging standard according to the vehicle power type. The basic charging standard for the hybrid power mode is A0, and the basic charging standard for the pure electric power mode is B0; the charging power of the vehicle is defined as p, the vehicle battery capacity is C0, and the vehicle battery rechargeable capacity is c; Push estimated charging fee information to hybrid vehicle users: S1(p)=S10(p)+A0(p)c S1(p) represents the estimated charge information received by the user when the charging power is p; S10 is the current basic charge; The estimated charging information pushed to users of pure electric power mode vehicles is: S2(p)=S20(p)+B0(p)c S2(p) represents the estimated charge information received by the user when the charging power is p, where S20 is the current basic charge.

3. The intelligent management method of a vehicle charging system according to claim 2, characterized in that: S10 and S20 are functions of p. The current values ​​of S10 and S20 are defined by calibration. The smaller p is, the larger S10 and S20 are; the larger p is, the smaller S10 and S20 are; under the same p value, S10 ≥ S20.

4. The intelligent management method of a vehicle charging system according to claim 1, characterized in that: A0=f1(p,C0,c); In the formula, A0 is related to charging power p and battery capacity C O and a function of the charge c; B0=f2(p,C0) In the formula, B0 is a function of the charging power p and the charged amount c. The larger the charging power p and c, the smaller B0.

5. The intelligent management method of a vehicle charging system according to claim 4, characterized in that: Among them, A0 and B0 are piecewise functions, which define the charging standards under different conditions through calibration. Under the same charging power, the charging charging standards are designed in stages, the charging power cost of the front stage is higher than that of the rear stage, and the charging power cost of the rear stage is higher than that of the middle stage.

6. The intelligent management method of a vehicle charging system according to claim 2, characterized in that: A0, B0, S10, and S20 are all functions of time, and different charging standards are applied in different time periods.

7. The method for intelligent management of a vehicle charging system according to claim 2, characterized in that: If the current charging station utilization rate is greater than or equal to 95%, the hybrid vehicle will be charged an additional waiting fee E0; S1(p)=S10(p)+A0(p)c+E0.

8. The intelligent management method of a vehicle charging system according to claim 7, characterized in that: According to the vehicle information, the current vehicle power consumption per 100 kilometers is f; the fuel consumption per 100 kilometers of an ordinary family car is defined as a, and the current oil price per liter is obtained through the Internet as d: If the current charging station utilization rate is greater than or equal to 95%, then S1(p)*f / c≥ad.

9. The method for intelligent management of a vehicle charging system according to claim 2, characterized in that: Under the premise that the vehicle is a hybrid vehicle, if it is identified that the current vehicle charging power p is less than the set threshold p0, the service fee e is increased; Where f is the current vehicle electricity consumption per 100 kilometers; a is the fuel consumption per 100 kilometers of an ordinary family car, and d is the current oil price per liter obtained through the Internet.

10. The method for intelligent management of a vehicle charging system according to claim 1, characterized in that: When the vehicle is full, the overtime occupancy fee G will be charged. G=g*(T-T0), Among them, g is the unit price per minute, T0 is the free time period, and T is the time from full charge to the present.

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