Parameter optimization method, device, equipment and chip for magnetic field energy harvesting device

Abstract

The present disclosure relates to the field of energy harvesting technology, and specifically discloses a parameter optimization method, apparatus, device, and chip for a magnetic field energy harvesting device. The method comprises: simulating a circuit model of a toroidal magnetic core according to a scenario in which the magnetic field energy harvesting device is powered by a battery, using the charging voltage of the battery as the load voltage in the circuit model, and obtaining a curve relationship between the load power and the number of coil turns N according to the simulated circuit model of the toroidal magnetic core; and obtaining the number of coil turns corresponding to the maximum load power according to the curve relationship between the load power and the number of coil turns N. This technical solution can optimize the number of coil turns of the toroidal magnetic core and improve the energy extraction efficiency of the toroidal magnetic core, and is mainly used to improve the energy extraction efficiency of the toroidal magnetic core installed on the cable.

Description

Technical Field

[0001] The present disclosure relates to the technical field of energy harvesting, and in particular to a parameter optimization method, apparatus, device, and chip for a magnetic field energy harvesting device. Background Art

[0002] With the increasing adoption of wireless sensor networks, energy harvesting technology has garnered increasing attention as a sustainable and environmentally friendly power supply method. Energy harvesting involves collecting trace energy sources such as heat, vibration, light, and electromagnetic waves, converting them into electrical energy, and then using an energy management unit to power sensors or electronic devices. Electromagnetic energy harvesting, which involves collecting electromagnetic waves, offers advantages such as convenient energy extraction, weather resistance, good controllability, a simple energy harvesting device, and no ohmic connection to the busbar. This makes it the most suitable power supply method for practical circuit sensor applications.

[0003] Currently, common electromagnetic energy harvesting devices include cable-mounted ones, which wrap the device around a magnetic field source (current conductor). The most common electromagnetic energy harvesting device is a toroidal magnetic core wrapped with a coil. However, the energy extraction efficiency of this type of electromagnetic energy harvesting device is too low. Summary of the Invention

[0004] In order to solve the problems in the related art, the embodiments of the present disclosure provide a parameter optimization method, apparatus, device and chip for a magnetic field energy harvesting device.

[0005] In a first aspect, an embodiment of the present disclosure provides a method for optimizing parameters of a magnetic field energy harvesting device, comprising:

[0006] According to a scenario in which the magnetic field energy harvesting device is battery-powered, a circuit model of a toroidal magnetic core is simulated, wherein the circuit model includes an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load;

[0007] Obtaining intrinsic property parameters of the annular magnetic core and current passing through a cable where the annular magnetic core is located;

[0008] According to the inherent property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located, a functional relationship between the annular magnetic core voltage of the annular magnetic core, the annular magnetic core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular magnetic core is calculated, where N is an integer greater than or equal to 1;

[0009] Using 1 / N of the current passing through the cable where the toroidal magnetic core is located as the output current of the ideal transformer, using the hysteresis loss of the magnetic field energy harvesting device as the equivalent hysteresis resistance, using the line loss of the magnetic field energy harvesting device as the equivalent line loss resistance, using the toroidal magnetic core voltage as the voltage across the non-ideal inductor, using the toroidal magnetic core current as the current passing through the non-ideal inductor, and using the charging voltage of the battery as the load voltage, and obtaining a curve relationship between the load power and the number of coil turns N based on the simulated circuit model of the toroidal magnetic core and the functional relationship;

[0010] According to the curve relationship between the load power and the number of coil turns N, the number of coil turns corresponding to the maximum load power is obtained.

[0011] In one possible implementation, the calculation of the functional relationship between the annular core voltage of the annular core, the annular core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular core based on the inherent property parameters of the annular core and the current passing through the cable where the annular core is located includes:

[0012] Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located;

[0013] Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current;

[0014] A fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity;

[0015] Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N, taking into account the saturation of the magnetic core;

[0016] Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N;

[0017] Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core;

[0018] The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

[0019] In a possible implementation, the method of establishing a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the toroidal magnetic core by using a fractional fitting method considering the magnetic core saturation, and using the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector as the functional relationship between the magnetic induction intensity and the magnetic field intensity, includes:

[0020] The magnetic induction intensity vector of the toroidal core is established using the fractional fitting method and the magnetic field strength vector Relationship:

[0021]

[0022] Among them, B s is the saturation magnetic induction intensity of the toroidal core, μ0 is the vacuum permeability, and μ is the core permeability of the toroidal core;

[0023] Obtain the magnetic induction intensity B c (t) and magnetic field strength H c Functional relationship of (t):

[0024]

[0025] In a second aspect, an embodiment of the present disclosure provides a parameter optimization device for a magnetic field energy harvesting device, comprising:

[0026] a simulation module configured to simulate a circuit model of a toroidal magnetic core according to a scenario in which a magnetic field energy harvesting device powers a battery, the circuit model including an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load;

[0027] A first acquisition module is configured to acquire the intrinsic property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located;

[0028] a calculation module configured to calculate, based on inherent property parameters of the toroidal magnetic core and a current passing through a cable on which the toroidal magnetic core is located, a functional relationship between an annular magnetic core voltage, an annular magnetic core current, a line loss of the magnetic field energy harvesting device, a hysteresis loss of the magnetic field energy harvesting device, and a number N of coil turns on the toroidal magnetic core, where N is an integer greater than or equal to 1;

[0029] a second acquisition module, configured to use 1 / N of the current passing through the cable where the toroidal magnetic core is located as the output current of the ideal transformer, use the hysteresis loss of the magnetic field energy harvesting device as the equivalent hysteresis resistance, use the line loss of the magnetic field energy harvesting device as the equivalent line loss resistance, use the toroidal magnetic core voltage as the voltage across the non-ideal inductor, use the toroidal magnetic core current as the current passing through the non-ideal inductor, use the charging voltage of the battery as the load voltage, and obtain a curve relationship between the load power and the number of coil turns N based on the simulated circuit model of the toroidal magnetic core and the functional relationship;

[0030] The third acquisition module is configured to acquire the number of coil turns corresponding to the maximum load power according to the curve relationship between the load power and the number of coil turns N.

[0031] In a possible implementation, the calculation module is configured to:

[0032] Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located;

[0033] Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current;

[0034] Considering the saturation of the magnetic core, a fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity;

[0035] Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N;

[0036] Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N;

[0037] Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core;

[0038] The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

[0039] In one possible implementation, the calculation module considers the core saturation and uses a fractional fitting method to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the toroidal magnetic core, and uses the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector as the functional relationship between the magnetic induction intensity and the magnetic field intensity, and is configured as follows:

[0040] The magnetic induction intensity vector of the toroidal core is established using the fractional fitting method and the magnetic field strength vector Relationship:

[0041]

[0042] Among them, B s is the saturation magnetic induction intensity of the toroidal core, μ0 is the vacuum permeability, and μ is the core permeability of the toroidal core;

[0043] Obtain the magnetic induction intensity B c (t) and magnetic field strength H c Functional relationship of (t):

[0044]

[0045] In a third aspect, an embodiment of the present disclosure provides an electronic device comprising a memory and a processor, wherein the memory is used to store one or more computer instructions, and wherein the one or more computer instructions are executed by the processor to implement a method as described in any one of the first aspects.

[0046] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the method as described in any one of the first aspects.

[0047] In a fifth aspect, a chip is provided in an embodiment of the present disclosure, and the chip includes the device as described in any one of the second aspects.

[0048] According to the technical solution provided by the embodiment of the present disclosure, the scenario in which the magnetic field energy harvesting device is powered by a battery can be abstracted into a circuit model, that is, the power supply part is composed of an ideal transformer and a non-ideal inductor in parallel, and the loss is composed of line loss and hysteresis loss. The simulation-based circuit model can be easily simulated with various circuit elements to obtain the curve relationship between the load power and the number of coil turns N, and then the number of coil turns on the toroidal magnetic core is optimized to improve the energy extraction capacity of the magnetic core. In addition, when establishing the circuit model of the toroidal magnetic core, this embodiment comprehensively considers various losses, including hysteresis loss that cannot be ignored at high frequencies, so that the circuit model can be established more accurately.

[0049] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Other features, objectives and advantages of the present disclosure will become more apparent through the following detailed description of non-limiting embodiments in conjunction with the accompanying drawings. In the accompanying drawings:

[0051] Figure 1 A flow chart illustrating a parameter optimization method for a magnetic field energy harvesting device according to an embodiment of the present disclosure is shown.

[0052] Figure 2 A circuit model of a toroidal magnetic core according to an embodiment of the present disclosure is shown.

[0053] Figure 3 The load power P according to the embodiment of the present disclosure is shown. LOAD Schematic diagram of the curve between and the number of coil turns N.

[0054] Figure 4 A structural block diagram of a parameter optimization device for a magnetic field energy harvesting device according to an embodiment of the present disclosure is shown.

[0055] Figure 5 A structural block diagram of an electronic device according to an embodiment of the present disclosure is shown.

[0056] Figure 6 A schematic diagram showing the structure of a computer system suitable for implementing the method of the embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0057] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. In addition, for the sake of clarity, parts not related to the description of the exemplary embodiments are omitted in the accompanying drawings.

[0058] In the present disclosure, it should be understood that terms such as "include" or "have" are intended to indicate the presence of features, numbers, steps, actions, components, parts, or combinations thereof disclosed in the present specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, actions, components, parts, or combinations thereof exist or are added.

[0059] It should also be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present disclosure may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0060] As mentioned above, common electromagnetic energy harvesting devices currently include cable-mounted ones, which wrap the electromagnetic energy harvester around a magnetic field source (current conductor). The most common electromagnetic energy harvester is a toroidal magnetic core wrapped with a coil. However, the energy extraction efficiency of this toroidal core is too low, and there is an urgent need for a solution to improve the energy extraction efficiency of toroidal magnetic cores.

[0061] In order to solve the above problems, the present disclosure provides a parameter optimization method for a magnetic field energy harvesting device, which simulates a circuit model of a toroidal magnetic core. The parameters of each component in the circuit model are related to the number of coil turns of the toroidal magnetic core. In this way, by adjusting the number of coil turns, the curve relationship between the load power and the number of coil turns N of the toroidal magnetic core can be obtained, and then the number of coil turns corresponding to the maximum load power can be obtained. In this way, a suitable number of coil turns can be obtained to improve the energy extraction efficiency of the toroidal magnetic core.

[0062] Figure 1 FIG. 1 is a flow chart showing a parameter optimization method for a magnetic field energy harvesting device according to an embodiment of the present disclosure. Figure 1 As shown, the parameter optimization method of the magnetic field energy harvesting device includes the following steps S101-S105:

[0063] In step S101, a circuit model of a toroidal magnetic core is simulated according to a scenario in which a magnetic field energy harvesting device is used to power a battery;

[0064] The circuit model includes an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load;

[0065] In step S102, the intrinsic property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located are obtained;

[0066] In step S103, a functional relationship among the annular core voltage, the annular core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular core is calculated based on the inherent property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located, where N is an integer greater than or equal to 1;

[0067] In step S104, 1 / N of the current passing through the cable where the toroidal magnetic core is located is used as the output current of the ideal transformer, the hysteresis loss of the magnetic field energy harvesting device is used as the equivalent hysteresis resistance, the line loss of the magnetic field energy harvesting device is used as the equivalent line loss resistance, the toroidal magnetic core voltage is used as the voltage across the non-ideal inductor, the toroidal magnetic core current is used as the current passing through the non-ideal inductor, and the charging voltage of the battery is used as the load voltage. Based on the circuit model of the toroidal magnetic core and the functional relationship, a curve relationship between the load power and the number of coil turns N is obtained;

[0068] In step S105 , the number of coil turns corresponding to the maximum load power is obtained according to the curve relationship between the load power and the number of coil turns N.

[0069] In a possible implementation, a scenario in which a magnetic field energy harvesting device is used to power a battery refers to installing a toroidal magnetic core on a cable to harvest magnetic energy and convert it into electrical energy to power the battery.

[0070] In one possible implementation, Figure 2 The circuit model of the toroidal core according to the embodiment of the present disclosure is shown as follows: Figure 2 As shown, the circuit model includes an ideal transformer L1, a non-ideal inductor L c , an equivalent line loss resistor R c , an equivalent hysteresis resistor R Cu and load, the two ends of the ideal transformer L1 and the non-ideal inductor L c Parallel, non-ideal inductor L c The two ends of the equivalent line loss resistance R c Parallel. Equivalent line loss resistance R c One end of the equivalent hysteresis resistor R Cu Connect the other end to the load, the equivalent hysteresis resistance R Cu One end of the equivalent line loss resistance R c The circuit model can fully and comprehensively describe the parameter changes during the core saturation process.

[0071] In one possible implementation, the various parameters in the circuit model can be configured according to the specific situation of the toroidal magnetic core. 1 / N of the current passing through the cable where the toroidal magnetic core is located can be used as the current passing through the ideal transformer, the hysteresis loss of the magnetic field energy harvesting device can be used as the equivalent hysteresis resistance, the line loss of the magnetic field energy harvesting device can be used as the equivalent line loss resistance, the toroidal magnetic core voltage can be used as the voltage across the non-ideal inductor, the toroidal magnetic core current can be used as the current passing through the non-ideal inductor, and the charging voltage of the battery can be used as the load voltage.

[0072] In one possible embodiment, the functional relationship between the toroidal core voltage of the toroidal core, the toroidal core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the toroidal core can be calculated based on the inherent property parameters of the toroidal core and the current passing through the cable where the toroidal core is located. The functional relationship between the various parameters in the circuit model and the number of coil turns N is input into the simulated circuit model of the toroidal core. The number of coil turns N in the simulated circuit model is continuously adjusted to obtain a curve relationship between the load power and the number of coil turns N. In this way, the number of coil turns corresponding to the maximum load power can be obtained. The number of coil turns on the toroidal core is set to the number of coil turns corresponding to the maximum load power. The toroidal core can then collect a higher power of electrical energy to charge the battery.

[0073] It should be noted here that the functional relationship between the annular core voltage of the annular magnetic core, the annular core current, the line loss of the magnetic field energy collection device, the hysteresis loss of the magnetic field energy collection device and the number of coil turns N on the annular magnetic core can be calculated according to a calculation formula well known to people in this field, and no restrictions are imposed here.

[0074] In this embodiment, the scenario of a battery-powered magnetic field energy harvesting device can be abstracted into a circuit model, where the power supply consists of an ideal transformer connected in parallel with a non-ideal inductor, and the losses are composed of line loss and hysteresis loss. The simulation-based circuit model can be easily simulated with various circuit components to obtain a curve relationship between load power and the number of coil turns N, thereby optimizing the number of coil turns on the toroidal core and improving the core's energy extraction capacity. In addition, when establishing the circuit model of the toroidal core, this embodiment comprehensively considers various losses, including hysteresis loss, which cannot be ignored at high frequencies, so that the circuit model can be established more accurately.

[0075] In one possible implementation, the calculation of the functional relationship between the annular core voltage of the annular core, the annular core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular core based on the inherent property parameters of the annular core and the current passing through the cable where the annular core is located includes:

[0076] Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located;

[0077] Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current;

[0078] A fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity;

[0079] Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N;

[0080] Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N;

[0081] Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core;

[0082] The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

[0083] In this embodiment, the annular magnetic core can be installed on a cable, and then an alternating current with a magnitude of I1(t) = Asinωt is passed through the cable, where A is the amplitude of the alternating current and ω is the angular frequency of the alternating current. The secondary side current of the annular magnetic core can be calculated based on I1(t) and the voltage on the primary side of the annular magnetic core (which can be measured). The specific calculation method is well understood by those skilled in the art and will not be described in detail here. The secondary side current can be recorded as I2(t).

[0084] In this embodiment, the magnetic field strength H of the toroidal core can be calculated according to Ampere's loop theorem.c The functional relationship between (t) and the number of coil turns N is:

[0085]

[0086] Among them, I μ (t) is the current passing through the toroidal core, which can be calculated using the following formula: l c is the equivalent magnetic path length of the toroidal core, which can be calculated using the following formula: r1 is the inner diameter of the annular magnetic core, and r2 is the outer diameter of the annular magnetic core, which are inherent parameters of the annular magnetic core.

[0087] In this embodiment, magnetic induction intensity is a basic physical quantity that is easy to understand. It is the number of magnetic lines of force that pass vertically through a unit area. In order to describe the characteristics of the magnetic field source and to facilitate mathematical derivation, a physical quantity independent of the medium, magnetic field intensity H, is introduced. c (t), the magnetic induction intensity B can be calculated using the following formula c (t)=μ0(H c (t)+M), μ0 is the vacuum permeability, which is an inherent parameter of the toroidal core. In this embodiment, in order to obtain a more accurate functional relationship between the magnetic induction intensity and the magnetic field intensity, the magnetic induction intensity vector of the toroidal core can be established by taking into account the saturation of the magnetic core and adopting the fractional fitting method. and the magnetic field strength vector Functional relationship:

[0088]

[0089] Wherein, μ is the magnetic permeability of the toroidal core, B s is the saturation magnetic induction intensity of the toroidal core, which is an inherent parameter of the toroidal core. and The direction is the same, so the size of the field H can be used c (t) and B c (t) replaces the vector in Formula 2 and The magnetic induction intensity B can be obtained c (t) and magnetic field strength H c Functional relationship of (t):

[0090]

[0091] It should be noted here that the magnetic induction intensity vector of the toroidal core and the magnetic field strength vector In addition to Formula 2, there may be other fitting formulas for the relationship, which are well known to those skilled in the art and will not be described in detail here. In this embodiment, Formula 2 can be used for calculation.

[0092] In this embodiment, based on the functional relationship between the magnetic induction intensity and the magnetic field intensity in Formula 3 and the functional relationship between the magnetic field intensity of the toroidal core and the number of coil turns N in Formula 1, the functional relationship between the magnetic induction intensity vector of the toroidal core and the number of coil turns N can be calculated:

[0093]

[0094] In this embodiment, the functional relationship between the toroidal core voltage of the toroidal core, the toroidal core current, and the number of coil turns N can be calculated according to Formula 4. The calculation process can be as follows:

[0095] The magnetic flux λ(t) of the toroidal core is related to the magnetic induction intensity B c (t) is: Among them, S c is the cross-sectional area of ​​the toroidal core; λ(t) can be obtained according to Formula 4:

[0096]

[0097] According to Faraday's law of electromagnetic induction, the toroidal core voltage V can be calculated. c (t), core current I μ The functional relationship between (t) and the number of coil turns N is:

[0098]

[0099] In this embodiment, the core current I μ The expression of (t) is understood as a KCL (Kirchhoff's Current Law) constraint, which results in a three-branch node. The first branch is I1(t) / N, the current flowing into the node, which can be replaced by an ideal transformer with a turns ratio of 1:N, and the primary current is I1(t); the second branch is I2(t), which represents the current flowing out of the node to the load; the third branch is I μ (t) represents the current flowing out of the node to the core, i.e., the ring core current. According to the ring core voltage V shown in Equation 6, c From the functional relationship between (t) and the number of coil turns, we can see that in addition to the core current I μExcept for (t), the other parameters are known parameters and can be directly used in SPICE (Simulation program with integrated circuit emphasis, circuit simulator) to simulate the circuit. Figure 2 Simulation of the circuit shown.

[0100] like Figure 2 As shown, the toroidal core is abstracted into a non-ideal inductor, so that the input of the core is composed of an ideal transformer and a non-ideal inductor in parallel. Figure 2 The complete circuit model of the magnetic core shown here requires further loss analysis.

[0101] In this embodiment, the functional relationship between the line loss and the number of coil turns N is as follows:

[0102]

[0103] Where ρ is the resistivity of the coil on the toroidal core, l wire is the length of the coil winding on the toroidal core (related to N), S wire is the cross-sectional area of ​​the coil on the toroidal core.

[0104] In this embodiment, the hysteresis loss R c The calculation process of the functional relationship between the number of coil turns N can be shown as follows:

[0105] Calculate the hysteresis energy loss density w hyst (t):

[0106] w hyst (t)=∮B c (t)dH c (t) Formula 8;

[0107] Applying a rectangular approximation to the loop integral in Equation 8, the maximum hysteresis loss P is calculated when the toroidal core is saturated. s :

[0108] P s =2H s *2B s *v*f formula 9;

[0109] Among them, H s 、B s are the magnetic field intensity and magnetic induction intensity when the toroidal core is saturated, v is the volume of the toroidal core, and f is the frequency of I1(t);

[0110] Calculate hysteresis loss P c :

[0111]

[0112] Among them, H cmax 、B cmax , I μmax , I s They are respectively the peak magnetic field intensity, peak magnetic induction intensity, peak current, and saturation current of the annular core within one cycle, which can all be calculated based on the inherent property parameters of the annular core and the current passing through the cable where the annular core is located.

[0113] Finally, the equivalent hysteresis loss resistance R c Resistance value:

[0114]

[0115] Among them, V cRMS is the effective value of the voltage across the annular magnetic core within one cycle, which can be calculated based on the inherent property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located.

[0116] Thus, through the above calculation, if Figure 2 As shown, 1 / N of the current passing through the cable where the toroidal core is located, that is, I1(t) / N, is used as the output current of the ideal transformer, and the hysteresis loss R of the magnetic field energy harvesting device is used as c As the equivalent hysteresis resistance, the line loss R of the magnetic field energy harvesting device is Cu As the equivalent line loss resistance, the ring core voltage V c (t) As the non-ideal inductor L C The voltage across the toroidal core current I μ (t) as the non-ideal inductor L C The current is set, and the charging voltage of the battery is used as the load voltage V LOAD , complete the simulation of the circuit model, and continuously adjust the N value to obtain the load power P LOAD =V LOAD* I LOAD and the curve relationship between the number of coil turns N, and then obtain the number of coil turns corresponding to the maximum load power.

[0117] For example, a nanocrystalline toroidal core is installed on a cable with a current of The inner diameter of the annular core is r1 = 8.25 mm, the outer diameter is r2 = 12.25 mm, the height is h = 9 mm, and the saturation magnetic induction intensity is B s =1.2T, vacuum magnetic permeability μ0=4π*10 -7 N / A 2 , the relative magnetic permeability of the core μ≈100000μ0, the cross-sectional area of ​​the core S c=3.6*10 -5 m 2 The toroidal core needs to collect electrical energy to power the battery. The charging voltage of the battery is 2V. At this time, the number of turns of the coil of the toroidal core needs to be determined so that the toroidal core can collect the maximum power to charge the battery.

[0118] After the toroidal core is installed on the cable, its function is equivalent to that of a transformer. The secondary current of the toroidal core can be calculated based on I1(t), which is recorded as I2(t). First, the number of coil turns N = 200. According to the above formula 1, the magnetic field strength H of the toroidal core can be calculated. c (t):

[0119]

[0120] Then the magnetic induction intensity B can be calculated according to formula 4 c (t):

[0121]

[0122] The magnetic flux λ(t) of the toroidal core is calculated according to formula 5:

[0123]

[0124] Then, the ring core voltage V is calculated according to formula 6. c (t) and I μ (t):

[0125]

[0126] Fixed I1 = 50A RMS , V LOAD =2V, change the number of coil turns N, and get the load power P LOAD The relationship between the number of coil turns N is as follows Figure 3 As shown, the number of turns N=250 near the maximum power point. In this way, when the number of turns of the toroidal core is 250, the toroidal core can collect the maximum power to charge the battery with a charging voltage of 2V, thereby improving the energy extraction efficiency of the toroidal core.

[0127] The present disclosure also provides a parameter optimization device for a magnetic field energy harvesting device, Figure 4 The following is a block diagram showing a parameter optimization device for a magnetic field energy harvesting device according to an embodiment of the present disclosure. The device can be implemented as part or all of an electronic device through software, hardware, or a combination of both. Figure 4 As shown, the device includes:

[0128] A simulation module 401 is configured to simulate a circuit model of a toroidal magnetic core according to a scenario in which a magnetic field energy harvesting device powers a battery, the circuit model including an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load;

[0129] A first acquisition module 402 is configured to acquire intrinsic property parameters of the annular magnetic core and a current passing through a cable where the annular magnetic core is located;

[0130] a calculation module 403 configured to calculate, based on the inherent property parameters of the toroidal magnetic core and the current passing through the cable in which the toroidal magnetic core is located, a functional relationship between the toroidal magnetic core voltage, the toroidal magnetic core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the toroidal magnetic core, where N is an integer greater than or equal to 1;

[0131] The second acquisition module 404 is configured to use 1 / N of the current passing through the cable where the toroidal magnetic core is located as the output current of the ideal transformer, use the hysteresis loss of the magnetic field energy harvesting device as the equivalent hysteresis resistance, use the line loss of the magnetic field energy harvesting device as the equivalent line loss resistance, use the toroidal magnetic core voltage as the voltage across the non-ideal inductor, use the toroidal magnetic core current as the current passing through the non-ideal inductor, use the charging voltage of the battery as the load voltage, and obtain a curve relationship between the load power and the number of coil turns N based on the simulated circuit model of the toroidal magnetic core and the functional relationship;

[0132] The third acquisition module 405 is configured to acquire the number of coil turns corresponding to the maximum load power according to the curve relationship between the load power and the number of coil turns N.

[0133] In a possible implementation, the calculation module 403 is configured to:

[0134] Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located;

[0135] Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current;

[0136] Considering the saturation of the magnetic core, a fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity;

[0137] Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N;

[0138] Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N;

[0139] Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core;

[0140] The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

[0141] In one possible implementation, the calculation module 403 considers the core saturation and uses a fractional fitting method to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the toroidal core, and uses the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector as the functional relationship between the magnetic induction intensity and the magnetic field intensity, and is configured as follows:

[0142] The magnetic induction intensity vector of the toroidal core is established using the fractional fitting method and the magnetic field strength vector Relationship:

[0143]

[0144] Among them, B s is the saturation magnetic induction intensity of the toroidal core;

[0145] Obtain the functional relationship between the magnetic induction intensity and the magnetic field intensity:

[0146]

[0147] Where μ0 is the vacuum permeability, B s is the saturation magnetic induction intensity of the toroidal core, and μ is the core magnetic permeability of the toroidal core.

[0148] The technical terms and technical features mentioned in the implementation of this device are the same as or similar to those mentioned in the implementation of the above method. For the interpretation and description of the technical terms and technical features involved in this device, please refer to the explanation of the implementation of the above method, and no further details will be given here.

[0149] The present disclosure also discloses an electronic device, Figure 5 A structural block diagram of an electronic device according to an embodiment of the present disclosure is shown.

[0150] like Figure 5 As shown, the electronic device 500 includes a memory 501 and a processor 502, wherein the memory 501 is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 502 to implement the method according to the embodiment of the present disclosure.

[0151] An embodiment of the present disclosure also provides a chip, which includes a parameter optimization device for the above-mentioned magnetic field energy collection device. The chip can be any chip that can implement a parameter optimization device for a magnetic field energy collection device. The device can be implemented as part or all of the chip through software, hardware, or a combination of both.

[0152] Figure 6 A schematic diagram showing the structure of a computer system suitable for implementing the method of the embodiment of the present disclosure is shown.

[0153] like Figure 6 As shown, the computer system 600 includes a processing unit 601, which can execute various processes in the above-mentioned embodiments according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage unit 608 into a random access memory (RAM) 603. Various programs and data required for the operation of the computer system 600 are also stored in the RAM 603. The processing unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0154] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read therefrom can be installed into the storage section 608 as needed. Among them, the processing unit 601 can be implemented as a processing unit such as a CPU, a GPU, a TPU, an FPGA, or an NPU.

[0155] In particular, according to embodiments of the present disclosure, the methods described above can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising computer instructions that, when executed by a processor, implement the method steps described above. In such embodiments, the computer program product can be downloaded and installed from a network via the communication portion 609 and / or installed from a removable medium 611.

[0156] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of code, and the module, program segment or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0157] The units or modules involved in the embodiments described in this disclosure may be implemented by software or programmable hardware. The units or modules described may also be provided in a processor, and the names of these units or modules do not, in certain circumstances, constitute limitations on the units or modules themselves.

[0158] As another aspect, the present disclosure further provides a computer-readable storage medium. This computer-readable storage medium may be included in the electronic device or computer system described in the above embodiments, or may be a standalone computer-readable storage medium not incorporated into the device. The computer-readable storage medium stores one or more programs, which are used by one or more processors to execute the methods described in the present disclosure.

[0159] The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention herein is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

Claims

1. A parameter optimization method for a magnetic field energy harvesting device, characterized in that: include: According to a scenario in which the magnetic field energy harvesting device is battery-powered, a circuit model of a toroidal magnetic core is simulated, wherein the circuit model includes an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load; Obtaining intrinsic property parameters of the annular magnetic core and current passing through a cable where the annular magnetic core is located; According to the inherent property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located, a functional relationship between the annular magnetic core voltage, the annular magnetic core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular magnetic core is calculated, where N is an integer greater than or equal to 1; Using 1 / N of the current passing through the cable where the toroidal magnetic core is located as the output current of the ideal transformer, using the hysteresis loss of the magnetic field energy harvesting device as the equivalent hysteresis resistance, using the line loss of the magnetic field energy harvesting device as the equivalent line loss resistance, using the toroidal magnetic core voltage as the voltage across the non-ideal inductor, using the toroidal magnetic core current as the current passing through the non-ideal inductor, and using the charging voltage of the battery as the load voltage, and obtaining a curve relationship between the load power and the number of coil turns N based on the simulated circuit model of the toroidal magnetic core and the functional relationship; According to the curve relationship between the load power and the number of coil turns N, the number of coil turns corresponding to the maximum load power is obtained.

2. The method according to claim 1, characterized in that The calculation of the functional relationship between the annular core voltage of the annular core, the annular core current, the line loss of the magnetic field energy harvesting device, the hysteresis loss of the magnetic field energy harvesting device, and the number of coil turns N on the annular core based on the inherent property parameters of the annular core and the current passing through the cable where the annular core is located includes: Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located; Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current; Considering the saturation of the magnetic core, a fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity; Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N; Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N; Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core; The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

3. The method according to claim 2, characterized in that The method of using fractional fitting to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core in consideration of the magnetic core saturation, and using the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector as the functional relationship between the magnetic induction intensity and the magnetic field intensity, includes: The magnetic induction intensity vector of the toroidal core is established using the fractional fitting method and the magnetic field strength vector Relationship: Among them, B s is the saturation magnetic induction intensity of the toroidal core, μ0 is the vacuum permeability, and μ is the core permeability of the toroidal core; Obtain the magnetic induction intensity B c (t) and magnetic field strength H c Functional relationship of (t):

4. A parameter optimization device for a magnetic field energy harvesting device, characterized in that: include: a simulation module configured to simulate a circuit model of a toroidal magnetic core according to a scenario in which a magnetic field energy harvesting device powers a battery, the circuit model including an ideal transformer, a non-ideal inductor, an equivalent line loss resistor, an equivalent hysteresis resistor, and a load, wherein the ideal transformer is connected in parallel with the non-ideal inductor, the non-ideal inductor is connected in parallel with the equivalent hysteresis resistor, one end of the equivalent hysteresis resistor is connected to the equivalent line loss resistor, and the other end is connected to the load, and one end of the equivalent line loss resistor is connected to the equivalent hysteresis resistor, and the other end is connected to the load; A first acquisition module is configured to acquire the intrinsic property parameters of the annular magnetic core and the current passing through the cable where the annular magnetic core is located; a calculation module configured to calculate, based on inherent property parameters of the toroidal magnetic core and a current passing through a cable on which the toroidal magnetic core is located, a functional relationship between an annular magnetic core voltage, an annular magnetic core current, a line loss of the magnetic field energy harvesting device, a hysteresis loss of the magnetic field energy harvesting device, and a number N of coil turns on the toroidal magnetic core, where N is an integer greater than or equal to 1; a second acquisition module, configured to use 1 / N of the current passing through the cable where the toroidal magnetic core is located as the output current of the ideal transformer, use the hysteresis loss of the magnetic field energy harvesting device as the equivalent hysteresis resistance, use the line loss of the magnetic field energy harvesting device as the equivalent line loss resistance, use the toroidal magnetic core voltage as the voltage across the non-ideal inductor, use the toroidal magnetic core current as the current passing through the non-ideal inductor, use the charging voltage of the battery as the load voltage, and obtain a curve relationship between the load power and the number of coil turns N based on the simulated circuit model of the toroidal magnetic core and the functional relationship; The third acquisition module is configured to acquire the number of coil turns corresponding to the maximum load power according to the curve relationship between the load power and the number of coil turns N.

5. The device according to claim 4, characterized in that The calculation module is configured to: Determining the secondary side current of the annular magnetic core according to the current passing through the cable where the annular magnetic core is located; Calculating a functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N according to the inherent property parameters of the annular magnetic core, the current passing through the cable in which the annular magnetic core is located, and the secondary side current; Considering the saturation of the magnetic core, a fractional fitting method is used to establish a functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector is used as the functional relationship between the magnetic induction intensity and the magnetic field intensity; Calculate the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N according to the functional relationship between the magnetic induction intensity and the magnetic field intensity and the functional relationship between the magnetic field intensity of the annular magnetic core and the number of coil turns N; Determining the functional relationship between the annular core voltage of the annular core and the functional relationship between the annular core current and the number of coil turns N according to the functional relationship between the magnetic induction intensity vector of the annular core and the number of coil turns N; Determining a functional relationship between the line loss and the number of coil turns N according to parameters of the coil on the annular magnetic core; The functional relationship between the hysteresis loss and the number of coil turns N is determined based on the functional relationship between the magnetic field strength of the annular magnetic core and the number of coil turns N and the functional relationship between the magnetic induction intensity vector of the annular magnetic core and the number of coil turns N.

6. The device according to claim 5, characterized in that The calculation module considers the core saturation and uses the fractional fitting method to establish the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector of the annular magnetic core, and uses the functional relationship between the magnetic induction intensity vector and the magnetic field intensity vector as the functional relationship between the magnetic induction intensity and the magnetic field intensity, and is configured as follows: The magnetic induction intensity vector of the toroidal core is established using the fractional fitting method and the magnetic field strength vector Relationship: Among them, B s is the saturation magnetic induction intensity of the toroidal core, μ0 is the vacuum permeability, and μ is the core permeability of the toroidal core; Obtain the magnetic induction intensity B c (t) and magnetic field strength H c Functional relationship of (t):

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method according to any one of claims 1 to 3.

8. A readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 3 is implemented.

9. A chip, characterized in that: The chip comprises the device according to any one of claims 4 to 6.

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