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CN109066913A - Wireless charging magnetic coupling device optimization method and system based on genetic algorithm - Google Patents

Wireless charging magnetic coupling device optimization method and system based on genetic algorithm Download PDF

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Publication number
CN109066913A
CN109066913A CN201811128290.2A CN201811128290A CN109066913A CN 109066913 A CN109066913 A CN 109066913A CN 201811128290 A CN201811128290 A CN 201811128290A CN 109066913 A CN109066913 A CN 109066913A
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China
Prior art keywords
magnetic core
size
magnetic
coupling device
wireless charging
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Inventor
蔡春伟
秦沐
武帅
张言语
刘金泉
任秀云
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Shandong Marine Technology Research Institute
Harbin Institute of Technology Weihai
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Shandong Marine Technology Research Institute
Harbin Institute of Technology Weihai
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Priority to CN201811128290.2A priority Critical patent/CN109066913A/en
Publication of CN109066913A publication Critical patent/CN109066913A/en
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    • H02J7/025
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01FMAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F38/00Adaptations of transformers or inductances for specific applications or functions
    • H01F38/14Inductive couplings
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J50/00Circuit arrangements or systems for wireless supply or distribution of electric power
    • H02J50/10Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling
    • H02J50/12Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling of the resonant type
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J50/00Circuit arrangements or systems for wireless supply or distribution of electric power
    • H02J50/70Circuit arrangements or systems for wireless supply or distribution of electric power involving the reduction of electric, magnetic or electromagnetic leakage fields

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

本发明公开了一种基于遗传算法的无线充电磁耦合装置优化方法及系统,该方法包括:S1:根据用户选择的无线充电补偿电路拓扑结构确定磁芯影响磁耦合装置的输出功率和效率的相关参数;S2:获取对磁芯尺寸的约束条件;S3:以相关参数与磁芯尺寸之间的关系、磁芯的窗口面积与有效截面积的积与磁芯尺寸之间的关系、磁芯的体积与磁芯尺寸之间的关系为目标函数,通过遗传算法求解满足约束条件的磁芯尺寸;S4:判断满足约束条件的磁芯尺寸中是否存在满足预设指标要求的磁芯尺寸,若是,执行S5,若否,执行S6;S5:输出满足预设指标要求的磁芯尺寸;S6:获取新的约束条件,重复执行S3。本发明有利于提高磁耦合装置的电能传输效果。

The invention discloses a method and system for optimizing a wireless charging magnetic coupling device based on a genetic algorithm. The method includes: S1: According to the topological structure of the wireless charging compensation circuit selected by the user, it is determined that the magnetic core affects the output power and efficiency of the magnetic coupling device. parameters; S2: Obtain the constraints on the size of the magnetic core; S3: The relationship between the relevant parameters and the size of the magnetic core, the relationship between the product of the window area and the effective cross-sectional area of the magnetic core and the size of the magnetic core, the The relationship between the volume and the magnetic core size is the objective function, and the genetic algorithm is used to solve the magnetic core size that meets the constraint conditions; S4: judge whether there is a magnetic core size that meets the preset index requirements among the magnetic core sizes that meet the constraint conditions, and if so, Execute S5, if not, execute S6; S5: Output the size of the magnetic core that meets the preset index requirements; S6: Obtain new constraints, and repeat S3. The invention is beneficial to improve the electric energy transmission effect of the magnetic coupling device.

Description

Wireless charging magnetic coupling device optimization method and system based on genetic algorithm
Technical field
The present invention relates to wireless charging technical field, especially a kind of wireless charging magnetic coupling device based on genetic algorithm Optimization method and system.
Background technique
Autonomous Underwater Vehicle AUV (Autonomous underwater vehicle) is the weight for exploring sea floor world Tool is wanted, is all widely used in civilian and military domain, but due to being limited by own vol and battery technology, AUV can not work under water for a long time, and main using the method to charge after recycling is salvaged, this mode is not only intelligent It is lower, and time-consuming, not convenient enough, greatly reduces the working efficiency and concealment of AUV.Contact inductive electric energy transmits skill Art, that is, wireless charging technology, can allow AUV is autonomous, fast and efficiently completes charging, be the reason of underwater AUV electric energy transmission at present Want to select.
The research about wireless charging technology is concentrated mainly on circuit topological structure, impedance matching and control strategy at present Equal directions, it is less for the research of the optimization design of magnetic coupling device itself.But magnetic coupling device is as wireless charging system In vital part, have close contact with transimission power and the efficiency of wireless charging, it may be said that magnetic coupling device is set Whether meter rationally determines the superiority and inferiority of wireless charging system performance to a certain extent.
To realize higher transmittability, the magnetic coupling device applied to high-power wireless charging would generally add magnetic core Confining magnetic field, but in existing magnetic coupling device design process, it will usually according to the direct selection standard size of power grade Magnetic core cause electric energy laser propagation effect poor without considering specific application environment.
Summary of the invention
In view of this, one of the objects of the present invention is to provide a kind of wireless charging magnetic coupling device based on genetic algorithm Optimization method and system are conducive to the electric energy laser propagation effect for improving magnetic coupling device.
In order to achieve the above objectives, technical solution of the present invention provides a kind of wireless charging magnetic coupling based on genetic algorithm Installation optimization method, comprising:
Step S1: determine that magnetic core influences magnetic coupling device according to the wireless charging compensation circuit topological structure that user selects The relevant parameter of output power and efficiency;
Step S2: the constraint condition to magnetic core size is obtained;
Step S3: with the window area and effective sectional area of relationship, magnetic core between the relevant parameter and magnetic core size Product and magnetic core size between relationship, the relationship between the volume of magnetic core and magnetic core size be objective function, pass through heredity and calculate Method solves the magnetic core size for meeting constraint condition;
Step S4: judgement meets in the magnetic core size of constraint condition with the presence or absence of the magnetic core ruler for meeting pre-set level requirement It is very little, if so, step S5 is executed, if it is not, executing step S6;
Step S5: the output magnetic core size for meeting pre-set level requirement;
Step S6: obtaining new constraint condition, and repeats step S3.
Further, the wireless charging compensation circuit topological structure is the SP of primary side series resonance, secondary side parallel resonance Compensation network, the relevant parameter are the coefficient of coup of magnetic core.
Further, the magnetic core is E-type magnetic core, and the magnetic core size includes the window of the window height of magnetic core, magnetic core Width, magnetic core side column width.
Further, the pre-set level requires to include coefficient of coup index request, umber of turn index request, winding and cuts At least one in area index requirement, the efficiency index requirement of the output power index request of magnetic coupling device, magnetic coupling device Kind.
Further, the magnetic coupling device is applied to Autonomous Underwater Vehicle.
To achieve the above object, technical solution of the present invention additionally provides a kind of wireless charging electromagnetism coupling based on genetic algorithm It attaches together and sets optimization system, comprising:
First processing module, the wireless charging compensation circuit topological structure for being selected according to user determine that magnetic core influences magnetic The output power of coupling device and the relevant parameter of efficiency;
Module is obtained, for obtaining the constraint condition to magnetic core size;
Second processing module, for the window area of relationship, magnetic core between the relevant parameter and magnetic core size with Relationship, the volume of magnetic core between the product and magnetic core size of effective sectional area and the relationship between magnetic core size are objective function, The magnetic core size for meeting constraint condition is solved by genetic algorithm;
Judgment module, with the presence or absence of the magnetic for meeting pre-set level requirement in the magnetic core size for judging to meet constraint condition Core size;
Output module, for exporting the magnetic core size for meeting pre-set level requirement;
Control module for obtaining new constraint condition, and controls the Second processing module and repeats and pass through heredity The step of algorithm solution meets the magnetic core size of constraint condition.
Further, the wireless charging compensation circuit topological structure is the SP of primary side series resonance, secondary side parallel resonance Compensation network, the relevant parameter are the coefficient of coup of magnetic core.
Further, the magnetic core is E-type magnetic core, and the magnetic core size includes the window of the window height of magnetic core, magnetic core Width, magnetic core side column width.
Further, the pre-set level requires to include coefficient of coup index request, umber of turn index request, winding and cuts At least one in area index requirement, the efficiency index requirement of the output power index request of magnetic coupling device, magnetic coupling device Kind.
Further, the magnetic coupling device is applied to Autonomous Underwater Vehicle.
Wireless charging magnetic coupling device optimization method provided by the invention is based on genetic algorithm, not only can solve traditional magnetic The disadvantage that coupling device coupling ability is weak, transimission power is small effectively improves the electric energy laser propagation effect of magnetic coupling device, while also Conducive to the volume and weight for reducing magnetic coupling device, the AUV surface area of occupancy is less, and unit area power density is higher.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present invention, the above and other purposes of the present invention, feature and Advantage will be apparent from, in the accompanying drawings:
Fig. 1 is a kind of wireless charging magnetic coupling device optimization method based on genetic algorithm provided in an embodiment of the present invention Flow chart;
Fig. 2 is a kind of schematic diagram of wireless charging circuit provided in an embodiment of the present invention;
Fig. 3 is the schematic diagram of magnetic core provided in an embodiment of the present invention;
Fig. 4 is the schematic diagram of magnetic circuit model provided in an embodiment of the present invention;
Fig. 5 is the flow chart of genetic algorithm provided in an embodiment of the present invention.
Specific embodiment
Below based on embodiment, present invention is described, but the present invention is not restricted to these embodiments.Under Text is detailed to describe some specific detail sections in datail description of the invention, in order to avoid obscuring essence of the invention, There is no narrations in detail for well known method, process, process, element.
In addition, it should be understood by one skilled in the art that provided herein attached drawing be provided to explanation purpose, and What attached drawing was not necessarily drawn to scale.
Unless the context clearly requires otherwise, "include", "comprise" otherwise throughout the specification and claims etc. are similar Word should be construed as the meaning for including rather than exclusive or exhaustive meaning;That is, be " including but not limited to " contains Justice.
In the description of the present invention, it is to be understood that, term " first ", " second " etc. are used for description purposes only, without It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple " It is two or more.
It is that a kind of wireless charging magnetic coupling device based on genetic algorithm provided in an embodiment of the present invention is excellent referring to Fig. 1, Fig. 1 The flow chart of change method, this method comprises:
Step S1: determine that magnetic core influences magnetic coupling device according to the wireless charging compensation circuit topological structure that user selects The relevant parameter of output power and efficiency;
Step S2: the constraint condition to magnetic core size is obtained;
Step S3: with the window area and effective sectional area of relationship, magnetic core between the relevant parameter and magnetic core size Product and magnetic core size between relationship, the relationship between the volume of magnetic core and magnetic core size be objective function, pass through heredity and calculate Method solves the magnetic core size for meeting constraint condition;
Step S4: judgement meets in the magnetic core size of constraint condition with the presence or absence of the magnetic core ruler for meeting pre-set level requirement It is very little, if so, step S5 is executed, if it is not, executing step S6;
Step S5: the output magnetic core size for meeting pre-set level requirement;
Step S6: obtaining new constraint condition, and repeats step S3.
Genetic algorithm is a kind of search heuritic approach in computer science artificial intelligence field for solving to optimize, The contents such as hereditary variation in evolution biology, natural selection and hybridization have been used for reference, it is next excellent for generating useful solution Change and search for problem.Therefore, multiple-objection optimization may be implemented in magnetic coupling device design process using genetic algorithm;
Wherein, in embodiments of the present invention, the wireless charging compensation circuit topological structure can for primary side series resonance, The SP compensation network of secondary side parallel resonance, the relevant parameter are the coefficient of coup of magnetic core.
Wherein, in embodiments of the present invention, the magnetic core can be E-type magnetic core, and the magnetic core size includes the window of magnetic core Open height, the window width of magnetic core, magnetic core side column width.
Wherein, in embodiments of the present invention, the pre-set level requirement may include coefficient of coup index request, winding turns Count index requests, winding cross section accumulates index request, the efficiency of the output power index request of magnetic coupling device, magnetic coupling device refers to At least one of mark requirement.
Wherein, in embodiments of the present invention, the magnetic coupling device can be applied to Autonomous Underwater Vehicle.
Wireless charging magnetic coupling device optimization method provided in an embodiment of the present invention is based on genetic algorithm, not only can solve The disadvantage that traditional magnetic coupling device coupling ability is weak, transimission power is small effectively improves the electric energy laser propagation effect of magnetic coupling device, together When also help reduce magnetic coupling device volume and weight, the AUV surface area of occupancy is less, unit area power density compared with It is high.
For example, the wireless charging magnetic coupling device optimization method based on genetic algorithm in the embodiment of the present invention can wrap It includes:
Step A: the wireless charging compensation circuit topological structure that user selects wireless charging circuit to use according to design object, It is (including wireless that corresponding wireless charging circuit is established by the wireless charging compensation circuit topological structure selected according to user later Charge compensation circuit and magnetic coupling device) circuit model, then by the corresponding derivation of equation obtain magnetic core transmitting electric energy power and The key parameter of efficiency (i.e. magnetic core influences the output power of magnetic coupling device and the relevant parameter of efficiency), the specific steps are as follows:
Step A1: user predefines design object, as the transimission power and efficiency of transmission of magnetic coupling device, progress are wireless Loadtype and size of charging etc.;
For example, design object is as follows: the transimission power of magnetic coupling device is not less than 600W, and efficiency of transmission is not less than 80%, It charges for the battery to autonomous underwater vehicle, and the resistance value of cell load constantly changes in charging process;
Step A2: user can select wireless charging compensation circuit topological structure according to above-mentioned design object, later can be with The circuit model of corresponding wireless charging circuit is established according to the wireless charging compensation circuit topological structure that user selects;
Magnetic coupling device primary side, secondary side can be made to be in resonance by adding compensating electric capacity (i.e. wireless charging compensation circuit) State is conducive to energy transmission, connected (S) according to the compensating electric capacity of primary and secondary side or in parallel (P) in circuit, common nothing Line charge electronic compensating circuit topological structure is divided into tetra- kinds of SS, SP, PS and PP, for example, humorous if choosing primary side series resonance, secondary side parallel connection The SP compensation network of vibration, the SP wireless charging circuit obtained are as shown in Figure 2;
Step A3: the output power P of magnetic coupling device is acquired according to the circuit model of obtained wireless charging circuitoutWith Efficiency eta;
Pout=VinI1k2Q2
Wherein, VinI1It is input power, k is the coefficient of coup of magnetic core, Q2It is secondary circuit quality factor, R1And RrRespectively It is primary coil resistance, secondary side reaction resistance, LpAnd LsRespectively primary side, secondary side inductance, RacIt is AC equivalent resistance, passes through Above-mentioned formula, available, when coefficient of coup k increases, output power and efficiency can all increase, therefore can be by coefficient of coup k It pursues a goal as the most main, in order to design the magnetic coupling device of high coupling ability, the relational expression of coefficient of coup k can be made For objective function f1;
Step B: user can determine according to design objective, the magnetic circuit model of magnetic core and autonomous underwater vehicle own vol The constraint condition of magnetic core size;
Step B1: for example, E-type magnetic cored structure as shown in Figure 3 can be used by being applied to the magnetic core of autonomous underwater vehicle, Wherein, L is core length, and H is the window height of magnetic core, and W is core thickness, and a is magnetic core side column width, and l is the window of magnetic core Width, the magnetic circuit model of the magnetic core as shown in figure 4, the window height H of the coefficient of coup k and magnetic core that are obtained by the magnetic circuit model, The relationship of the window width l of magnetic core, magnetic core side column width a, specific as follows:
Wherein, RE1It is magnetic core air gap magnetic resistance, RE2It is leakage field resistance, SL=KLH*2a=0.8Ha, wherein SLIt is leakage field resistance magnetic Road sectional area, SaIt is air-gap magnetic circuit sectional area, KLIt is empirical coefficient (value 0.4), the expression formula of coefficient of coup k is to evaluate Function;
Step B2: according to the AP method in Magnetic Core Design obtain the product AP of the area of magnetic core window area and effective sectional area with The relationship of the window height of magnetic core, the window width of magnetic core, magnetic core side column width, it is specific as follows;
Wherein, AP is the window area of magnetic core and the product of its effective sectional area, AwIt is that magnetic core can be with coiling winding wire The window area of circle, AeIt is the effective sectional area of magnetic core, η is the efficiency of magnetic coupling device output, PoIt is the function of system load output Rate, KwIt is the usage factor of the window area of magnetic core, indicates the window side of winding technique area shared on magnetic core and magnetic core Long-pending ratio, kfIt is form factor, J is the current density of primary side input current in winding, BACIt is the AC magnetism of selected magnetic core Flux density, f are the working frequencies of system;
AP embodies the ability of magnetic core transmitting power, and value is bigger, and the power that magnetic core transmits electric energy is higher;
For example, output power, which is greater than, is equal to 600W when efficiency is more than or equal to 0.8, obtained by high frequency transformer design, AP= 50700mm4, take 3 times -4 times of allowance, it is desirable that the product AP of area is greater than 152100mm4
The relationship of step B3: the core volume V and window height H of magnetic core, the window width l of magnetic core, magnetic core side column width a It is as follows:
V=[(4a+2l) × (H+a) -2lH] × (2a);
Wherein, core volume is smaller, and the weight bearing of submarine navigation device is more conducive to extend its cruise duration with regard to smaller;
By above-mentioned relation, user can choose the window height H of magnetic core, the window width l of magnetic core, magnetic core side column width The constraint condition (using H, l, a as optimized variable) of a, such as:
lmin< l < lmax
Hmin< H < Hmax
amin< a < amax
For example, the constraint condition of above three variable can be with are as follows: the minimum 5mm of H minimum 15mm, l minimum 10mm, a;
Step C: with the relationship between above-mentioned k and H, l, a, the relationship between above-mentioned AP and H, l, a, above-mentioned V and H, l, a it Between relationship be objective function f1, f2, f3, solved by genetic algorithm and meet the solution of constraint condition, flow chart as shown in figure 5, It is specific as follows:
Step C1: defining the number of iterations, generates initial population;
Due to desired the result is that above three formula difference maximizing, maximum value and minimum value, so for side Just it is analyzed using genetic algorithm, the relational expression of k and AP is taken into negative sign, the relational expression of V is constant, for example, defining the number of iterations For 200 generations, initial population is generated;
Step C2: being divided into several sub-groups for initial population, by distributing specific item scalar functions to each sub-group, builds Vertical fitness function simultaneously calculates fitness value, and Selecting operation arranged side by side is carried out in each sub-group, it is higher to select fitness Individual in sub-group forms new sub-group;
Specifically, all individuals in initial random father population are equably divided into three by the number of specific item scalar functions Sub-group distributes a sub- objective function to each sub-group, and establishes fitness function according to objective function, calculates every height The fitness value of each of group individual carries out descending sort according to fitness value, and selects fitness in the sub-group Higher individual forms new sub-group;
Step C3: merging into a complete new group for new sub-group, by recombination and mutation operator, generates next For complete new population;
Step C4: continuous iteration is repeated successively to carry out step C2 and step C3, until meeting maximum number of iterations, be found out Optimized variable optimal solution;
Step D: since a series of obtained solutions of step C not necessarily all meet pre-set level requirement, it is therefore desirable to carry out Verifying, what judgment step C was obtained meets in the magnetic core size of constraint condition with the presence or absence of the magnetic core ruler for meeting pre-set level requirement It is very little, if so, output meets the magnetic core size of pre-set level requirement, if it is not, obtaining new constraint condition, and repeat step C;
Specifically, it can be determined that whether the solution that above-mentioned steps C is obtained meets coefficient of coup index request, umber of turn index It is required that, winding cross section product index request, the output power index request of magnetic coupling device, magnetic coupling device efficiency index requirement One of or a variety of requirements, most suitable effective solution is screened out from it, for example, specific steps can be such that
Step D1: each the corresponding coupled systemes of solution (each magnetic core size for meeting constraint condition) judged Whether number k meets coefficient of coup index request, if not satisfied, then excluding this solution;
For example, coefficient of coup index request be not less than 0.5, if the corresponding coefficient of coup k of a certain solution (by k and H, l, a it Between relational expression obtain) be 0.55, then meet this requirement;
The solution for being unsatisfactory for coefficient of coup index request can be excluded by this step, met the coefficient of coup if it does not exist and referred to Desired solution is marked, then obtains new constraint condition, and repeat step C;
Step D2: whether the solution that judgment step D1 is filtered out meets default umber of turn index request, winding cross section product refers to Mark requires;
For example, excluding the solution, step if winding cross section product index request is greater than the corresponding magnetic core window area of a certain solution The corresponding magnetic core window area of the solution that D1 is filtered out is respectively less than winding cross section product index request, then obtains new constraint condition, and Repeat step C;
Such as, however, it is determined that the umber of turn of selection is 20 circles, and using the litz wire of 0.1mm*400, then its theoretical calculation accounts for With area 180mm2, practical coiling area occupied is about 300mm2If a certain solve corresponding window area as 600mm2, then can Around lower 20 circle coil, meet winding cross section product index request;
Step D3: inductance and the mutual inductance, the compensation of primary and secondary side electricity of the magnetic coupling device primary and secondary side used are determined Hold, whether the solution that judgment step D2 is filtered out meets the efficiency of the output power index request of magnetic coupling device, magnetic coupling device Index request need to select constraint condition, and repeat step C if being not satisfied again;
For example, determining that the primary and secondary side inductance used is 107uH, mutual inductance 51uH, primary compensation capacitor 125uF, pair Side compensating electric capacity 94uF, output power index request are not less than 600W, and efficiency index requires to be not less than 80%, if a certain solution Corresponding output power 602W, efficiency 86%, then the solution meets this requirement;
The magnetic core size of the available meet demand of user through the above way.
The present invention can solve that AUV wireless charging magnetic coupling device coupling ability is weak, leakage magnetic field energy loses excessive lack Point can obtain preferably solving each target, the magnetic coupling dress obtained through the invention by comprehensively considering each target It is strong to set not only primary side, secondary side coupling ability, additionally it is possible to reduce volume and weight, be conducive to reduce the AUV surface area occupied, unit Area power density is higher.
The wireless charging magnetic coupling device optimization system based on genetic algorithm that the embodiment of the invention also provides a kind of, packet It includes:
First processing module, the wireless charging compensation circuit topological structure for being selected according to user determine that magnetic core influences magnetic The output power of coupling device and the relevant parameter of efficiency;
Module is obtained, for obtaining the constraint condition to magnetic core size;
Second processing module, for the window area of relationship, magnetic core between the relevant parameter and magnetic core size with Relationship, the volume of magnetic core between the product and magnetic core size of effective sectional area and the relationship between magnetic core size are objective function, The magnetic core size for meeting constraint condition is solved by genetic algorithm;
Judgment module, with the presence or absence of the magnetic for meeting pre-set level requirement in the magnetic core size for judging to meet constraint condition Core size;
Output module, for exporting the magnetic core size for meeting pre-set level requirement;
Control module for obtaining new constraint condition, and controls the Second processing module and repeats and pass through heredity The step of algorithm solution meets the magnetic core size of constraint condition.
In one embodiment, the wireless charging compensation circuit topological structure is primary side series resonance, secondary side parallel resonance SP compensation network, the relevant parameter be magnetic core the coefficient of coup.
In one embodiment, the magnetic core is E-type magnetic core, and the magnetic core size includes the window height of magnetic core, magnetic core Window width, magnetic core side column width.
In one embodiment, the pre-set level require to include coefficient of coup index request, umber of turn index request, around It organizes in the efficiency index requirement of sectional area index request, the output power index request of magnetic coupling device, magnetic coupling device extremely Few one kind.
In one embodiment, the magnetic coupling device is applied to Autonomous Underwater Vehicle.
Those skilled in the art will readily recognize that above-mentioned each preferred embodiment can be free under the premise of not conflicting Ground combination, superposition.
It should be appreciated that above-mentioned embodiment is merely exemplary, and not restrictive, without departing from of the invention basic In the case where principle, those skilled in the art can be directed to the various apparent or equivalent modification or replace that above-mentioned details is made It changes, is all included in scope of the presently claimed invention.

Claims (10)

1.一种基于遗传算法的无线充电磁耦合装置优化方法,其特征在于,包括:1. A method for optimizing a wireless charging magnetic coupling device based on a genetic algorithm, characterized in that it comprises: 步骤S1:根据用户选择的无线充电补偿电路拓扑结构确定磁芯影响磁耦合装置的输出功率和效率的相关参数;Step S1: Determine the relevant parameters of the magnetic core affecting the output power and efficiency of the magnetic coupling device according to the topological structure of the wireless charging compensation circuit selected by the user; 步骤S2:获取对磁芯尺寸的约束条件;Step S2: obtaining constraints on the size of the magnetic core; 步骤S3:以所述相关参数与磁芯尺寸之间的关系、磁芯的窗口面积与有效截面积的积与磁芯尺寸之间的关系、磁芯的体积与磁芯尺寸之间的关系为目标函数,通过遗传算法求解满足约束条件的磁芯尺寸;Step S3: The relationship between the relevant parameters and the size of the magnetic core, the relationship between the product of the window area and the effective cross-sectional area of the magnetic core and the size of the magnetic core, and the relationship between the volume of the magnetic core and the size of the magnetic core are: The objective function is to solve the magnetic core size satisfying the constraints by genetic algorithm; 步骤S4:判断满足约束条件的磁芯尺寸中是否存在满足预设指标要求的磁芯尺寸,若是,执行步骤S5,若否,执行步骤S6;Step S4: Judging whether there is a magnetic core size that meets the preset index requirements among the magnetic core sizes that meet the constraint conditions, if yes, perform step S5, if not, perform step S6; 步骤S5:输出所述满足预设指标要求的磁芯尺寸;Step S5: Outputting the size of the magnetic core that meets the requirements of the preset index; 步骤S6:获取新的约束条件,并重复执行步骤S3。Step S6: Obtain a new constraint condition, and repeat step S3. 2.根据权利要求1所述的方法,其特征在于,所述无线充电补偿电路拓扑结构为原边串联谐振、副边并联谐振的SP补偿网络,所述相关参数为磁芯的耦合系数。2. The method according to claim 1, wherein the topology of the wireless charging compensation circuit is an SP compensation network with series resonance on the primary side and parallel resonance on the secondary side, and the related parameter is the coupling coefficient of the magnetic core. 3.根据权利要求1所述的方法,其特征在于,所述磁芯为E型磁芯,所述磁芯尺寸包括磁芯的窗口高度、磁芯的窗口宽度、磁芯边柱宽度。3 . The method according to claim 1 , wherein the magnetic core is an E-shaped magnetic core, and the size of the magnetic core includes a window height of the magnetic core, a window width of the magnetic core, and a side column width of the magnetic core. 4 . 4.根据权利要求1所述的方法,其特征在于,所述预设指标要求包括耦合系数指标要求、绕组匝数指标要求、绕组截面积指标要求、磁耦合装置的输出功率指标要求、磁耦合装置的效率指标要求中的至少一种。4. The method according to claim 1, wherein the preset index requirements include coupling coefficient index requirements, winding turns index requirements, winding cross-sectional area index requirements, output power index requirements of magnetic coupling devices, magnetic coupling At least one of the efficiency index requirements of the device. 5.根据权利要求1所述的方法,其特征在于,所述磁耦合装置应用于自主式水下航行器。5. The method of claim 1, wherein the magnetic coupling device is applied to an autonomous underwater vehicle. 6.一种基于遗传算法的无线充电磁耦合装置优化系统,其特征在于,包括:6. A wireless charging magnetic coupling device optimization system based on a genetic algorithm, characterized in that it includes: 第一处理模块,用于根据用户选择的无线充电补偿电路拓扑结构确定磁芯影响磁耦合装置的输出功率和效率的相关参数;The first processing module is configured to determine relevant parameters of the magnetic core affecting the output power and efficiency of the magnetic coupling device according to the topology of the wireless charging compensation circuit selected by the user; 获取模块,用于获取对磁芯尺寸的约束条件;An acquisition module, used to acquire constraints on the size of the magnetic core; 第二处理模块,用于以所述相关参数与磁芯尺寸之间的关系、磁芯的窗口面积与有效截面积的积与磁芯尺寸之间的关系、磁芯的体积与磁芯尺寸之间的关系为目标函数,通过遗传算法求解满足约束条件的磁芯尺寸;The second processing module is used to obtain the relationship between the relevant parameters and the size of the magnetic core, the relationship between the product of the window area and the effective cross-sectional area of the magnetic core and the size of the magnetic core, and the relationship between the volume of the magnetic core and the size of the magnetic core The relationship between is the objective function, and the magnetic core size that satisfies the constraints is solved by the genetic algorithm; 判断模块,用于判断满足约束条件的磁芯尺寸中是否存在满足预设指标要求的磁芯尺寸;A judging module, configured to judge whether there is a magnetic core size that meets the requirements of a preset index among the magnetic core sizes that meet the constraint conditions; 输出模块,用于输出所述满足预设指标要求的磁芯尺寸;An output module, configured to output the size of the magnetic core meeting the preset index requirements; 控制模块,用于获取新的约束条件,并控制所述第二处理模块重复执行通过遗传算法求解满足约束条件的磁芯尺寸的步骤。The control module is configured to obtain new constraint conditions, and control the second processing module to repeatedly execute the step of solving the magnetic core size satisfying the constraint conditions by genetic algorithm. 7.根据权利要求6所述的系统,其特征在于,所述无线充电补偿电路拓扑结构为原边串联谐振、副边并联谐振的SP补偿网络,所述相关参数为磁芯的耦合系数。7. The system according to claim 6, wherein the topology of the wireless charging compensation circuit is an SP compensation network with series resonance on the primary side and parallel resonance on the secondary side, and the related parameter is the coupling coefficient of the magnetic core. 8.根据权利要求6所述的系统,其特征在于,所述磁芯为E型磁芯,所述磁芯尺寸包括磁芯的窗口高度、磁芯的窗口宽度、磁芯边柱宽度。8 . The system according to claim 6 , wherein the magnetic core is an E-shaped magnetic core, and the size of the magnetic core includes a window height of the magnetic core, a window width of the magnetic core, and a side column width of the magnetic core. 9.根据权利要求6所述的系统,其特征在于,所述预设指标要求包括耦合系数指标要求、绕组匝数指标要求、绕组截面积指标要求、磁耦合装置的输出功率指标要求、磁耦合装置的效率指标要求中的至少一种。9. The system according to claim 6, wherein the preset index requirements include coupling coefficient index requirements, winding turns index requirements, winding cross-sectional area index requirements, output power index requirements of magnetic coupling devices, magnetic coupling At least one of the efficiency index requirements of the device. 10.根据权利要求6所述的系统,其特征在于,所述磁耦合装置应用于自主式水下航行器。10. The system of claim 6, wherein the magnetic coupling device is applied to an autonomous underwater vehicle.
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