A high-throughput transmission scheduling method for wireless energy transmission system

Abstract

The present invention discloses a high-throughput transmission scheduling method for a wireless energy transmission system, and belongs to the technical field of wireless energy transmission. The method first obtains system parameters such as the initial energy, battery capacity, and maximum discharge power of the WPT system, calculates the optimal discharge transmission power through the established scheduling model, calculates the system charging time, and finally performs system scheduling based on the optimal discharge power and charging time to optimize the throughput performance of the energy transmission process, and continuously monitors the energy state of the equipment during the charging and discharging process. The transmission scheduling method of the present invention meets the energy transmission scheduling requirements of the wireless energy transmission system by optimizing the charging time and the power of the power generation data, and achieves the technical effect of improving the throughput in the wireless energy transmission system, thereby improving the energy transmission efficiency; the method continuously monitors the energy state of the equipment to avoid over-discharge or over-charging, and effectively extends the overall service life of the equipment.

Description

Technical Field

[0001] The invention relates to a high-throughput transmission scheduling method for a wireless energy transmission system, and belongs to the technical field of wireless energy transmission. Background Art

[0002] In modern wireless communication systems, energy transmission efficiency and data transmission rate are key indicators of system performance. With the popularity of wireless devices, the demand for efficient energy utilization and fast data transmission is growing. Wireless power transmission (WPT) systems provide a solution for charging devices without physical connection, while transmission scheduling methods focus on how to transmit as much energy as possible in a limited time and provide higher throughput.

[0003] The present invention proposes a transmission scheduling method applied to a wireless energy transmission system, which realizes high-throughput energy transmission in a WPT system by optimizing the switching time of charging and discharging periods and the charging and discharging powers. Summary of the invention

[0004] Technical problem to be solved by the invention

[0005] Aiming at the problem of low energy transmission throughput in the existing WPT system, the present invention proposes a high-throughput transmission scheduling method for a wireless energy transmission system.

[0006] Technical Solution

[0007] In order to achieve the above object, the technical solution provided by the present invention is:

[0008] A high-throughput transmission scheduling method for a wireless energy transmission system comprises the following steps:

[0009] Step 1: Obtain WPT system parameters, including the initial energy E of the device init 、Equipment battery capacity E b , maximum discharge power ρ max .

[0010] Step 2: Establish a scheduling model, set the WPT system charging power as p, and define the discharge transmission power ρ that can achieve the maximum throughput w for:

[0011]

[0012] Where W(.) is the Lambert W function, satisfying .

[0013] Step 3: Based on the ρ obtained in step 2 w Calculate the system charging time t1 as follows:

[0014]

[0015] Where T is the total energy transfer time.

[0016] Step 4: Based on the optimal discharge power ρ obtained in step 2 w The system is scheduled with the charging time t1 obtained in step 3. First, the system is charged for a time of t1, and then the discharge power ρ w During the charging and discharging process, the energy status of the device is continuously monitored to ensure that the current energy of the device is between 0 and E b When the monitoring results are abnormal, the charging power and discharging power are adjusted in real time.

[0017] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed.

[0018] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0019] Beneficial Effects

[0020] The transmission scheduling method of the present invention meets the energy transmission scheduling requirements of the wireless energy transmission system by optimizing the charging time and the power of the power generation data, and achieves the technical effect of improving the throughput in the wireless energy transmission system.

[0021] The transmission scheduling method proposed in the present invention ensures that the energy of the device is maintained within a reasonable range by continuously monitoring the energy status of the device, thereby avoiding over-discharging or over-charging, extending the battery life of the device, and further extending the overall service life of the device.

[0022] The method of the present invention can reduce the loss in the energy transmission process and improve the energy transmission efficiency by accurately calculating the optimal discharge power and charging time, ensuring that the system can maintain efficient energy transmission under different working conditions and reducing overall energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flowchart of the scheduling method of the present invention;

[0024] Figure 2 A throughput function curve diagram of the scheduling method of the present invention;

[0025] Figure 3 A curve diagram showing the relationship between charging power and discharging power in the scheduling method of the present invention;

[0026] Figure 4 This is a simulation experiment result diagram of the method of the present invention. DETAILED DESCRIPTION

[0027] In order to further understand the content of the present invention, the present invention is described in detail in conjunction with the accompanying drawings and specific implementation methods.

[0028] The following is a description and deduction of the background theory of the scheduling method of the present invention:

[0029] In the WPT system, assuming that the wireless power transmission power is constant throughout the entire period and the battery has a large enough capacity, the discharge transmission power ρ is expressed as:

[0030] (1)

[0031] Where E init is the initial energy of the device at the beginning of discharge, and t is the transmission duration of the discharge phase.

[0032] If the device can be charged wirelessly, then all the energy received during the charging phase plus the initial energy in the device must be used up during the discharge phase to achieve maximum throughput.

[0033] Then we have:

[0034] (2)

[0035] Where p is the charging power, t1 is the charging time, and T is the total energy transfer time.

[0036] From formula (2), the charging time t1 is obtained as:

[0037] (3)

[0038] Based on formula (3), the throughput function related to the discharge transfer power ρ is obtained , expressed as:

[0039] (4)

[0040] To calculate the throughput Relative to the maximum value of the discharge transfer power ρ, the above equation is derived to obtain

[0041] (5)

[0042] In the above formula, , define the function :

[0043] (6)

[0044] It can be seen that for any given ρ, and have the same sign and zero.

[0045] because

[0046] (7)

[0047] Therefore is monotonically decreasing, so is a convex function and its maximum value will be at the point was found.

[0048] Introduce the Lambert W function, which has the following properties

[0049] (8)

[0050] The optimal discharge transmission power corresponding to the maximum value is obtained from the above formula: for:

[0051] (9)

[0052] Figure 2 for Function curve diagram, from the figure we can see that when the discharge power is too high When the transmission power is too low, data transmission becomes energy inefficient, resulting in lower throughput than expected. In this case, the transmission power can be reduced and the data throughput can be increased by extending the transmission time. When , the data transmission rate becomes too slow to exhaust the power within the period T, which also leads to a decrease in throughput.

[0053] Through the above derivation, we can get the following conclusions:

[0054] when When the charging stage is required, the charging time t1 is calculated by formula (3), and the discharge transmission power is obtained by (9);

[0055] when When , there is no need for charging stage, and the discharge transfer power is calculated by formula (1).

[0056] It can be seen from equations (3) and (9) that the charging time t1 is related to E init , p is related to T, but the optimal discharge transfer power It is only related to p and E init , T has nothing to do.

[0057] Based on the above conclusions, the optimal discharge transmission power that can achieve the maximum throughput is defined as ρ w , which is calculated as

[0058] (10)

[0059] Among them, ρ max It is the maximum discharge power limited by the hardware conditions of the equipment.

[0060] Figure 3 is w Function curve, where , for any discharge power, through ρ w The inverse function of the function can be used to calculate the charging power .

[0061] In order to verify the performance of the scheduling method of the present invention, a simulation experiment was established to investigate the effects of different total time slots, charging power and battery capacity on the performance of the method.

[0062] The simulation experiment considers 120 time slots, and in each time slot it is assumed that the initial power of the device follows a uniform distribution. ,average value Here, the time slot refers to a period of time (or time slice) during which an energy transfer operation (charging or discharging) is performed within the system.

[0063] The default charging power follows a random distribution with a mean of γ. For example, γ = 0.5 means that in each time slot, the charging power received by the device is a random variable, and the mean of its distribution is 0.5. In the simulation experiment, this γ value is used to simulate the charging power conditions in different environments.

[0064] Figure 4 (a) shows the relationship between the throughput of this method and the total number of time slots. The total time slot refers to the total number of time periods for charging and discharging operations during the entire simulation process. The longer the total time slot, the more time the system has for charging and discharging operations, so that the scheduling method can better optimize the throughput of energy transmission. In the figure, the total time slot varies between 20 and 175. It can be seen that the longer the total time slot, the better the throughput performance of the method; even if the total time slot is only 25, the throughput is close to 90%, and the throughput can reach 92% when the time slot is longer.

[0065] From (b) in ,4, it can be seen that the throughput of the method of the present invention increases with the increase of the average charging power p. This is because, when p becomes smaller, it takes more time to charge the same amount of energy, which makes it more difficult for the method of the present invention to obtain a good throughput, and thus the efficiency decreases. However, in all test cases, the achieved ratio remains above 85%.

[0066] exist Figure 4 In (c), the charging power distribution parameter γ varies from 0.1 to 0.7. It can be seen that even when the distribution is 0.7, the proposed method can achieve a throughput of about 90%. Therefore, the battery capacity has limited impact on the performance of the proposed algorithm.

[0067] The present invention and its embodiments are described schematically above, and the description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by it and designs a structural method and an embodiment similar to the technical solution without creativity without departing from the purpose of the invention, they shall all fall within the protection scope of the present invention.

Claims

1. A high-throughput transmission scheduling method for a wireless energy transmission system, characterized in that: The steps include: Step S1, obtain WPT system parameters, including the initial energy E of the device init 、Equipment battery capacity E b , maximum discharge power ρ max ; Step S2: Establish a scheduling model, set the WPT system charging power as p, and define the discharge transmission power ρ that can achieve the maximum throughput w for: Where W(.) is the Lambert W function, satisfying ; Step S3, based on the p obtained in step S2 w Calculate the system charging time t1 as follows: Where T is the total duration of energy transfer; Step S4, based on the optimal discharge power p obtained in step S2 w The system is scheduled with the charging time t1 obtained in step S3. First, the system is charged for a time t1, and then the discharge power ρ w During the charging and discharging process, the energy status of the device is continuously monitored to ensure that the current energy of the device is between 0 and E b When the monitoring results are abnormal, the charging power and discharging power are adjusted in real time.

2. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program implements the steps of the method according to claim 1 when being executed.

3. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to claim 1 are implemented.

Images