CN109687603B - ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission - Google Patents
ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission Download PDFInfo
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Abstract
The invention discloses an ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission, which comprises the following steps: establishing a mathematical model based on the current relationship between the primary and secondary trunk circuits and each branch circuit in the ICPT system, the impedance of the primary and secondary circuits in the ICPT system, the output and input power and the electric energy transmission efficiency in the ICPT system; selecting a target function based on the mathematical model; determining constraints of the objective function; and optimizing the resonance compensation parameters of the ICPT system based on the mathematical model, the objective function and the constraint condition. In the parameter optimization design of the ICPT system for synchronously transmitting the electric energy and the signals, the influence after the introduction of a signal transmission circuit is fully considered, so that the modeling is more accurate, great convenience is provided for research work such as resonance compensation parameter optimization, and the aim of improving the electric energy transmission efficiency is fulfilled.
Description
Technical Field
The invention relates to the field of wireless power transmission, in particular to an ICPT system resonance compensation parameter optimization method considering signal and power parallel transmission.
Background
An Inductively Coupled Power Transfer (ICPT) system has gradually realized short-distance high-Power wireless Power transmission, mobile ICPT system Power transmission, and multi-load ICPT system Power transmission as a novel Power supply mode, and thus has received more and more attention. The ICPT system power transmission often accompanies the demand of signal transmission, utilizes the power transmission channel to carry out signal transmission, can realize the high-speed transmission of signal, but the influence of signal transmission to power transmission can not be ignored under sharing the passageway, at present, in the electric energy based on ICPT system and the synchronous transmission field of signal, only consider power transmission itself to the resonant parameter optimization of system, and do not consider the influence of signal coupling coil in the signal transmission circuit to there is the problem that the power transmission efficiency is low.
Disclosure of Invention
The invention aims to provide an ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission so as to achieve the advantage of improving the electric energy transmission efficiency.
In order to achieve the purpose, the invention adopts the technical scheme that:
an ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission comprises the following steps:
establishing a mathematical model based on the current relationship between the primary and secondary trunk circuits and each branch circuit in the ICPT system, the impedance of the primary and secondary circuits in the ICPT system, the output and input power and the electric energy transmission efficiency in the ICPT system;
selecting a target function based on the mathematical model;
determining constraints of the objective function;
and optimizing the resonance compensation parameters of the ICPT system based on the mathematical model, the objective function and the constraint condition.
Optionally, the establishing a mathematical model includes:
analyzing an equality relation between the main circuit current and the secondary circuit current in the ICPT system and the current of each branch circuit based on a signal and electric energy parallel transmission system;
on the basis of the reflection impedance of the electric energy coupling coil, the signal pickup coil and the signal loading coil, the total impedance of the primary side and the secondary side of the ICPT system is calculated, so that the impedance analysis of the primary side and the secondary side of the ICPT system is completed;
and respectively calculating the input power and the output power of the ICPT system based on the impedance analysis of the primary side and the secondary side in the ICPT system, and performing ratio operation on the input power and the output power of the ICPT system to obtain a relation expression of the electric energy transmission efficiency.
Optionally, the selecting an objective function based on the mathematical model includes:
and taking the electric energy transmission efficiency relational expression as an objective function.
Optionally, the determining the constraint condition of the objective function includes:
on the basis of the mathematical model, calculating based on the influence factors of the signal coupling coil to obtain a rated voltage and current relational expression of each inductance and each capacitor;
and obtaining constraint conditions based on the rated voltage and current relational expression of each inductor and each capacitor.
Optionally, the determining the constraint condition of the objective function includes:
acquiring the influence of a signal transmission circuit on a system after the signal transmission circuit is introduced;
the constraints are determined based on an impact on the system.
Optionally, on the basis of the mathematical model, calculating based on the signal coupling coil influence factor to obtain a rated voltage-current relational expression of each inductor capacitor, where the rated voltage-current relational expression of each inductor capacitor is:
the voltage and current of the inductance and the capacitance are smaller than the rated value of the inductance and the capacitance.
Optionally, the optimizing the resonance compensation parameter of the ICPT system based on the mathematical model, the objective function, and the constraint condition includes:
and optimizing the resonance compensation parameters of the ICPT system by adopting a particle swarm algorithm based on the mathematical model, the objective function and the constraint condition.
Optionally, the particle swarm algorithm includes:
initializing a particle swarm, and setting an initial position and a speed;
calculating an adaptation value for each particle in the population of particles;
obtaining a best position of each particle based on the adaptation value;
updating the speed and position information of each particle based on the best position, thereby obtaining updated particle swarm information;
and judging whether the particle swarm information after being updated meets the set conditions.
Optionally, the obtaining a best position of each particle based on the adaptive value includes:
comparing the adaptation value of each particle with the adaptation value of the best position that each particle has experienced, thereby obtaining the current best position;
and comparing the adaptive value of each particle with the adaptive value of the globally-experienced best position to obtain the globally-experienced best position.
The technical scheme of the invention has the following beneficial effects:
according to the technical scheme, the ICPT system is analyzed on the basis of considering the influence of the signal transmission circuit, the coupling relation between signal transmission and electric energy transmission is obtained, so that a target function is selected, a constraint condition is established, resonance parameter optimization is carried out, in the parameter optimization design of the ICPT system for synchronous transmission of electric energy and signals, the influence caused by the introduction of the signal transmission circuit is fully considered, modeling is more accurate, great convenience is provided for research work such as resonance compensation parameter optimization, and the like, and the aim of improving the electric energy transmission efficiency is fulfilled.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
Fig. 1 is a schematic diagram of power and signal synchronous transmission of an LCLP-based ICPT system according to an embodiment of the present invention;
fig. 2 is a flowchart of a particle swarm algorithm according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission comprises the following steps:
establishing a mathematical model based on the current relationship between the primary and secondary trunk circuits and each branch circuit in the ICPT system, the impedance of the primary and secondary circuits in the ICPT system, the output and input power and the electric energy transmission efficiency in the ICPT system;
selecting a target function based on the mathematical model;
determining constraints of the objective function;
and optimizing the resonance compensation parameters of the ICPT system based on the mathematical model, the objective function and the constraint condition.
Optionally, the establishing a mathematical model includes:
analyzing an equality relation between the main circuit current and the secondary circuit current in the ICPT system and the current of each branch circuit based on a signal and electric energy parallel transmission system;
on the basis of the reflection impedance of the electric energy coupling coil, the signal pickup coil and the signal loading coil, the total impedance of the primary side and the secondary side of the ICPT system is calculated, so that the impedance analysis of the primary side and the secondary side of the ICPT system is completed;
and respectively calculating the input power and the output power of the ICPT system based on the impedance analysis of the primary side and the secondary side in the ICPT system, and performing ratio operation on the input power and the output power of the ICPT system to obtain a relation expression of the electric energy transmission efficiency.
The establishment of the mathematical model is to analyze the current relationship between the primary and secondary side trunk circuits and each branch circuit and among the branch circuits, the impedance analysis of the primary and secondary sides, and the output and input power and electric energy transmission efficiency analysis of the system on the basis of considering the influence of the signal coupling coil in the signal transmission circuit. The selection of the target function is based on a mathematical model, and the relation of the electric energy transmission efficiency is used as the target function. The establishment of the constraint condition comprises the analysis of a rated voltage-current relational expression of each inductance and each capacitance in the circuit and the determination of a solution space. The invention considers the influence of the signal transmission circuit on the electric energy transmission efficiency, establishes a mathematical model related between the signal transmission circuit and the electric energy transmission efficiency by using circuit knowledge on the basis of impedance analysis, and optimizes parameters of the LCLP type ICPT system signal transmission system based on FSK.
The establishment of the mathematical model fully considers the influence of the introduced signal transmission circuit on the system. The method comprises the following steps that firstly, an equality relation between primary and secondary side main circuit currents and each branch circuit current is analyzed based on a signal and electric energy parallel transmission system, and convenience is provided for later mathematical modeling; secondly, calculating and analyzing the total impedance of the primary side and the secondary side on the basis of the analysis of the reflection impedance of the electric energy coupling coil, the signal pickup coil and the signal loading coil; and thirdly, respectively calculating the input power and the output power of the system based on the impedance analysis in the second step, thereby calculating the electric energy transmission efficiency expression by ratio operation.
Optionally, the selecting an objective function based on the mathematical model includes:
and taking the electric energy transmission efficiency relational expression as an objective function. The establishment of the mathematical model fully considers the influence of the introduced signal transmission circuit on the system.
Optionally, the determining the constraint condition of the objective function includes:
on the basis of the mathematical model, calculating based on the influence factors of the signal coupling coil to obtain a rated voltage and current relational expression of each inductance and each capacitor;
and obtaining constraint conditions based on the rated voltage and current relational expression of each inductor and each capacitor.
Optionally, the determining the constraint condition of the objective function includes:
acquiring the influence of a signal transmission circuit on a system after the signal transmission circuit is introduced;
the constraints are determined based on an impact on the system.
The constraint condition is established by fully considering the influence of the introduced signal transmission circuit on the system. The rated voltage and current relational expression of each inductance and capacitance is calculated and analyzed on the basis of the mathematical model of claim 2 by considering the influence factors of the signal coupling coil; the solution space is determined according to the actual condition of the system. In the calculation and analysis of the constraint conditions, the rated voltage and current relational expression of each inductance and capacitance means that the voltage and current of the inductance and capacitance must be smaller than the rated value, and the determination of the solution space gives a corresponding value range according to the actual situation, namely gives the maximum value and the minimum value of each optimized variable.
Optionally, on the basis of the mathematical model, calculating based on the signal coupling coil influence factor to obtain a rated voltage-current relational expression of each inductor capacitor, where the rated voltage-current relational expression of each inductor capacitor is:
the voltage and current of the inductance and the capacitance are smaller than the rated value of the inductance and the capacitance.
Optionally, the optimizing the resonance compensation parameter of the ICPT system based on the mathematical model, the objective function, and the constraint condition includes:
and optimizing the resonance compensation parameters of the ICPT system by adopting a particle swarm algorithm based on the mathematical model, the objective function and the constraint condition.
Optionally, the particle swarm algorithm includes:
initializing a particle swarm, and setting an initial position and a speed;
calculating an adaptation value for each particle in the population of particles;
obtaining a best position of each particle based on the adaptation value;
updating the speed and position information of each particle based on the best position, thereby obtaining updated particle swarm information;
and judging whether the particle swarm information after being updated meets the set conditions.
Optionally, the obtaining a best position of each particle based on the adaptive value includes:
comparing the adaptation value of each particle with the adaptation value of the best position that each particle has experienced, thereby obtaining the current best position;
and comparing the adaptive value of each particle with the adaptive value of the globally-experienced best position to obtain the globally-experienced best position.
In a particular application scenario,
fig. 1 shows a schematic diagram of synchronous power and signal transmission based on an LCLP ICPT system.
In the modeling of the electric energy transmission efficiency, through analyzing the circuit principle of fig. 1, an equality relationship between the primary and secondary side main current and the current of each branch circuit can be obtained according to kirchhoff's law.
Primary side main current ipAnd each branch current i'p、i″pThe relationship of (1) is:
wherein ip: primary side dry line current, i'p: branch current of primary side coupling coil ip: primary side resonant capacitor branch current, XCpPrimary side resonance capacitance impedance, XLpPrimary side coupling coil impedance, XL2Impedance of primary side signal coupling coil, omega0Primary and secondary resonant frequencies, CpPrimary side resonance capacitor, LpPrimary side coupling coil, L2Primary side signal coupling coil.
Then i'pAnd i ″)pHas a current relation of
Secondary side main line current is and each branch line current i's、i″sIn a relationship of
Wherein is: secondary dry line current, i's: secondary side coupling coil branch current is: secondary side resonant capacitor branch current, XCsSecondary side resonance capacitance impedance, omega0Primary and secondary resonant frequencies, CsThe secondary side resonance capacitor, R is the load resistance.
Then i'sAnd i ″)sHas a current relationship of
i′s＝i″sω0CsR (6)，
Let Zp1、Zsp、Z2sPartial circuit for modulating signals for system primary side part, system secondary side-to-primary side part circuit and signalsThe demodulation part reflects impedance to the circuit of the secondary side part of the system. There will be three portions of reflected impedance, i.e.
Primary and secondary input impedances of
Wherein L isrPrimary side resonance inductance, RrInternal resistance of primary side resonance inductor, CpPrimary side resonance capacitor, LpPrimary side coupling coil, RpInternal resistance of primary side coupling coil, L2Primary side signal coupling coil, R2Internal resistance of primary side signal coupling coil, CsA secondary side resonance capacitor, LsA secondary side coupling coil, RsInternal resistance of secondary side coupling coil, L3A secondary side signal coupling coil, R3The secondary side signal couples the internal resistance of the coil, R is the load resistance.
The system output power is
System input power of
In summary, the transmission efficiency of the system is
The voltage and current of each inductance and capacitance in the circuit must be less than the rated value and flow through CpCurrent of (I)CpRated current value of ICp_rateVoltage across VCpRated value of VCp_rateI.e. ICp<ICp_rate，VCp<VCp_rate. The other parameters are similar to the above, as shown in equation (12).
Wherein, Ip: through a primary main current, Is: through the secondary side main current, ILrFlows through LrCurrent of (I)LpFlows through LpCurrent of (I)CpFlows through CPCurrent of (I)LsFlows through LsCurrent of (I)CsFlows through CsCurrent of (I)L2Flows through L2Current of (V)Lr:LrVoltage across, VLp:LpVoltage across, VCp:CpVoltage across, VLs:LsVoltage across, VCs:CsVoltage across, VL2:L2The voltages at the two ends, the rest are corresponding rated values.
Putting the formulas (1) - (6) into the formula, and finishing to obtain
In the parameter design, the variables to be optimized are Lr and Lp，Ls，L2，Cp，Cs，f0The 10 parameters give out corresponding value ranges according to actual conditions, namely, the maximum value and the minimum value of each optimized variable are given out, and a solution space of the optimized variables is formed. As shown in formula 14
Wherein L isr_minIs LrMinimum value of, Lr_maxIs LrIs the most important ofLarge value, Lp_minIs LpMinimum value of, Lp_maxIs LpMaximum value of, Ls_minIs LsMinimum value of, Ls_maxIs LsMaximum value of, L2_minIs L2Minimum value of, L2_maxIs L2Maximum value of (C)p_minIs CpMinimum value of (1), Cp_maxIs CpMaximum value of (C)s_minIs CsMinimum value of (1), Cs_maxIs CsIs measured.
In summary, equation (11) is an objective function, and equations (13) and (14) are constraints.
And optimizing the target by adopting an intelligent optimization algorithm which is a Particle Swarm Optimization (PSO). The algorithm flow chart is shown in fig. 2. The algorithm comprises the following steps:
step1, initialize a particle group with the size of m, and set the initial position and speed.
Step 2. calculate the fitness value for each particle.
Step 3-for each particle, its fitness value and the best position p it has experiencedisIf the adaptive value of (a) is better, it is set as the current best position.
Step4, the adapted value of each particle is compared with the adapted value of the best global position pgs, and if better, it is taken as the current best global position.
Step5 the velocity and position of the particles are updated separately.
Step6, if the termination condition is satisfied, outputting a solution; otherwise, return to Step 2.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. An ICPT system resonance compensation parameter optimization method considering signal and electric energy parallel transmission is characterized by comprising the following steps:
establishing a mathematical model based on the current relationship between the primary and secondary trunk circuits and each branch circuit in the ICPT system, the impedance of the primary and secondary circuits in the ICPT system, the output and input power and the electric energy transmission efficiency in the ICPT system;
selecting a target function based on the mathematical model;
determining constraints of the objective function;
optimizing resonance compensation parameters of the ICPT system based on the mathematical model, the objective function and the constraint condition;
the establishing of the mathematical model comprises the following steps:
analyzing an equality relation between the main circuit current and the secondary circuit current in the ICPT system and the current of each branch circuit based on a signal and electric energy parallel transmission system;
on the basis of the reflection impedance of the electric energy coupling coil, the signal pickup coil and the signal loading coil, the total impedance of the primary side and the secondary side of the ICPT system is calculated, so that the impedance analysis of the primary side and the secondary side of the ICPT system is completed;
respectively calculating the input power and the output power of the ICPT system based on the impedance analysis of the primary side and the secondary side in the ICPT system, and performing ratio operation on the input power and the output power of the ICPT system to obtain an electric energy transmission efficiency relational expression;
the determining the constraint condition of the objective function comprises:
on the basis of the mathematical model, calculating based on the influence factors of the signal coupling coil to obtain a rated voltage and current relational expression of each inductance and capacitance, wherein the voltage and the current of the inductance and capacitance are smaller than the rated value of the inductance and capacitance;
obtaining constraint conditions based on the rated voltage and current relational expression of each inductor and each capacitor;
or, the determining the constraint condition of the objective function includes:
acquiring the influence of a signal transmission circuit on a system after the signal transmission circuit is introduced;
the constraints are determined based on an impact on the system.
2. The ICPT system resonance compensation parameter optimization method considering signal and power parallel transfer according to claim 1, wherein the selecting an objective function based on the mathematical model includes:
and taking the electric energy transmission efficiency relational expression as an objective function.
3. The ICPT system resonance compensation parameter optimization method considering signal and power parallel transmission according to claim 1, wherein the optimizing ICPT system resonance compensation parameters based on the mathematical model, the objective function and the constraint condition includes:
and optimizing the resonance compensation parameters of the ICPT system by adopting a particle swarm algorithm based on the mathematical model, the objective function and the constraint condition.
4. The ICPT system resonance compensation parameter optimization method considering signal and power parallel transmission according to claim 3, wherein the particle swarm optimization comprises:
initializing a particle swarm, and setting an initial position and a speed;
calculating an adaptation value for each particle in the population of particles;
obtaining a best position of each particle based on the adaptation value;
updating the speed and position information of each particle based on the best position, thereby obtaining updated particle swarm information;
and judging whether the updated particle swarm information meets the set conditions.
5. The optimization method of resonance compensation parameters for an ICPT system considering signal and power transmission in parallel according to claim 4, wherein the obtaining the best position of each particle based on the adaptation value comprises:
comparing the adaptation value of each particle with the adaptation value of the best position that each particle has experienced, thereby obtaining the current best position;
and comparing the adaptive value of each particle with the adaptive value of the globally-experienced best position to obtain the globally-experienced best position.
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