A Topology Optimization Method for Flexible Lithium Battery Layout of Bionic Vehicles Based on Co-Simulation

Abstract

The present application discloses a method, device, medium and equipment for topology optimization of the layout of flexible lithium batteries of a bionic vehicle based on co-simulation, which includes constructing a parametric pectoral fin model; constructing a parametric homogenized battery model; importing the parametric homogenized battery model and the parametric pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and using the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, calculating implicitly the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model to perform flapping motion in seawater; updating the parameters of the parametric pectoral fin model and the parametric homogenized battery model respectively, and outputting the optimal result of the topology of the flexible lithium battery layout when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution. The present application can significantly reduce the stress concentration of the battery and improve its durability and reliability by optimizing the layout of the flexible lithium battery in the pectoral fin of the bionic vehicle.

Description

Technical Field

[0001] This application relates to the technical field of underwater energy systems, and particularly to a method, device, medium, and equipment for topological optimization of the layout of flexible lithium batteries for bionic vehicles based on co-simulation. Background Art

[0002] With the continuous progress of technology, the human demand for ocean exploration and monitoring is increasing day by day. According to the International Oceanographic Society, more than 95% of the deep ocean remains unexplored, containing huge biodiversity and unknown mineral resources. In this process, underwater vehicles, especially bionic underwater vehicles, have received extensive attention due to their efficient mobility and adaptability to complex ocean environments. Lithium-ion batteries have the characteristics of high energy density, no memory effect, high charging efficiency, etc. In recent years, with the decline of production costs, they have been widely used in underwater vehicles.

[0003] However, the energy system of the vehicle, especially the configuration and performance of the battery, has a decisive impact on its overall efficiency and reliability. At present, the stress distribution and optimal layout of the battery in complex parts such as the pectoral fins of bionic vehicles are still an unsolved problem. Improper battery layout may lead to low energy transfer efficiency and excessive heat accumulation, thus affecting the long-term stability and performance of the battery. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, medium, and equipment for topological optimization of the layout of flexible lithium batteries for bionic vehicles based on co-simulation, aiming to solve the technical problem of the unoptimized stress distribution and optimal layout in complex parts such as the pectoral fins of bionic vehicles.

[0005] To achieve the above object, the present application provides a topology optimization method for the layout of a flexible lithium battery of a bionic vehicle based on co-simulation, including: obtaining the pectoral fin structure parameters of a manta ray-like vehicle, and processing the pectoral fin structure parameters through TureGrid software to obtain a parameterized pectoral fin model; constructing a fully homogenized model of a wavy flexible lithium battery monomer and geometric parameters of the fully homogenized model based on the material model in LS-DYNA software, and processing the geometric parameters through TureGrid software to obtain a parameterized homogenized battery model; importing the parameterized homogenized battery model and the parameterized pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and using the ICFD solver to simulate the flapping motion of the parameterized pectoral fin model in seawater, and calculating implicitly the stress distribution of the flexible lithium battery when the parameterized homogenized battery model follows the parameterized pectoral fin model to perform a flapping motion in seawater; updating the parameters of the parameterized pectoral fin model and the parameterized homogenized battery model respectively to obtain a new parameterized pectoral fin model and a new parameterized homogenized battery model, and iteratively calculating the stress distribution of the flexible lithium battery according to the previous step, and outputting the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery of the bionic vehicle is the optimal solution.

[0006] Optionally, updating the parameters of the parameterized pectoral fin model to obtain a new parameterized pectoral fin model includes: adjusting the width of the fin plate, the spacing between the fin plate and the skin, the length of the fin rays, the stiffness of the fin rays, the relative position of the fin rays on the fin plate, and the grid size of the fin plate in the fin plate model of the parameterized pectoral fin model by adjusting a first set of parameters; adjusting the length, width, thickness, internal width of the skin, and grid size of the skin in the skin model of the parameterized pectoral fin model by adjusting a second set of parameters; covering the parameter-adjusted fin plate with the parameter-adjusted skin to obtain a new parameterized pectoral fin model.

[0007] Optionally, updating the parameters of the parameterized homogenized battery model to obtain a new parameterized homogenized battery model includes: adjusting the length, width, thickness, waveform radius, and number of waves of the wavy flexible battery by adjusting a third set of parameters to obtain a new parameterized homogenized battery model.

[0008] Optionally, the parameterized homogenized battery model includes: a crushable foam model, a honeycomb model, and a Gurson model.

[0009] Optionally, before using the ICFD solver to simulate the flapping motion of the parameterized pectoral fin model in seawater, the method further includes: setting one side interface grid of the pectoral fin as an inlet flow velocity boundary condition, and setting the remaining side interface grids as pressure boundary conditions to simulate an infinite sea area situation; performing separate adaptive refinement on the fluid domain grids near the pectoral fin side interface, and updating the fluid domain grids according to the set number of iterations.

[0010] Optionally, before simulating the flapping motion of the parametric pectoral fin model in seawater using the ICFD solver and implicitly calculating the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model in seawater during the flapping motion, the method further includes: setting the contact constraint between the battery of the parametric homogenized battery model and the fin rays of the parametric pectoral fin model; setting the contact constraints between the fin plate and the skin of the parametric pectoral fin model, and between the top of the parametric homogenized battery model and the skin; setting the velocity load applied to the fin plate; setting the boundary constraints of the fin plate; setting the total duration of the simulation calculation; setting the seawater pressure to be loaded during the dead time, and loading the velocity load after loading the seawater pressure.

[0011] Optionally, when implicitly calculating the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model in seawater during the flapping motion, both the fin plate model and the skin model in the parametric pectoral fin model adopt the shell element algorithm, and the parametric homogenized battery model adopts the solid element algorithm.

[0012] To achieve the above object, the present application further provides a bionic vehicle flexible lithium battery layout topology optimization device based on co-simulation, including: a pectoral fin model construction module, configured to obtain the pectoral fin structure parameters of the manta ray-like vehicle, and process the pectoral fin structure parameters through TureGrid software to obtain a parametric pectoral fin model; a battery model construction module, configured to construct a fully homogenized model of the wavy flexible lithium battery monomer and the geometric parameters of the fully homogenized model based on the material model in LS-DYNA software, and process the geometric parameters through TureGrid software to obtain a parametric homogenized battery model; a stress calculation module, configured to import the parametric homogenized battery model and the parametric pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and use the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, and implicitly calculate the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model in seawater during the flapping motion; a topology distribution output module, configured to update the parameters of the parametric pectoral fin model and the parametric homogenized battery model respectively to obtain a new parametric pectoral fin model and a new parametric homogenized battery model, and iteratively calculate the stress distribution of the flexible lithium battery according to the previous step, and output the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution.

[0013] To achieve the above object, the present application further provides a computer-readable storage medium, which includes instructions that, when running on a computer, cause the computer to execute the bionic vehicle flexible lithium battery layout topology optimization method based on co-simulation provided in the above embodiments.

[0014] To achieve the above object, the present application further provides an electronic device, which includes: at least one processor, a memory, and an input / output unit; wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the method for topology optimization of the flexible lithium battery layout of the bionic vehicle based on co-simulation provided by any of the foregoing embodiments

[0015] A method, device, medium, and equipment for topology optimization of the flexible lithium battery layout of a bionic vehicle based on co-simulation provided by an embodiment of the present application. By obtaining the pectoral fin structure parameters of a manta ray-like vehicle, a parameterized pectoral fin model is obtained by processing the pectoral fin structure parameters through TureGrid software; based on the material model in LS-DYNA software, a fully homogenized model of a wavy flexible lithium battery cell and the geometric parameters of the fully homogenized model are constructed, and the geometric parameters are processed through TureGrid software to obtain a parameterized homogenized battery model; the parameterized homogenized battery model and the parameterized pectoral fin model are imported into the fluid-structure interaction algorithm of LS-DYNA software, and the ICFD solver is used to simulate the flapping motion of the parameterized pectoral fin model in seawater, and the stress distribution of the flexible lithium battery when the parameterized homogenized battery model follows the parameterized pectoral fin model to perform flapping motion in seawater is calculated implicitly; the parameters of the parameterized pectoral fin model and the parameterized homogenized battery model are updated to obtain a new parameterized pectoral fin model and a new parameterized homogenized battery model, and the stress distribution of the flexible lithium battery is calculated iteratively according to the previous step, and the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution is output. By optimizing the layout of the flexible lithium battery in the pectoral fin of the bionic vehicle, the present application can significantly reduce the stress concentration of the battery and improve its durability and reliability BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of the method for topology optimization of the flexible lithium battery layout of a bionic vehicle based on co-simulation

[0017] Figure 2 It is a schematic diagram of the area where the stress-resistant flexible lithium battery is carried on a manta ray-like submersible

[0018] Figure 3 It is a diagram of parametric modeling of the fin plate

[0019] Figure 4 It is a diagram of parametric modeling of the skin

[0020] Figure 5 It is a diagram of the homogenized model of the flexible lithium battery

[0021] Figure 6 It is a diagram of the finite element model of the battery carried on the pectoral fin

[0022] Figure 716 working condition diagrams of the battery placed on the pectoral fin;

[0023] Figure 8 Full-cycle stress distribution nephogram of the battery under a certain working condition;

[0024] Figure 9 Full-cycle stress change diagram of the battery under a certain working condition;

[0025] Figure 10 Battery stress analysis diagram under a certain working condition;

[0026] Figure 11 Iterative curve diagram of battery layout topology optimization;

[0027] The realization of the purpose of this application, functional features and advantages will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0028] It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0029] The following explains some terms used in this application:

[0030] ICFD (Incompressible Flow Implicit Solver) is a module in LS-DYNA specifically used for simulating incompressible viscous fluids, supporting transient and steady-state analyses, and applicable to scenarios with a Mach number < 0.3 (such as automotive flow fields, blood flow, low-speed water entry, etc.).

[0031] Implicit calculation (Implicit Method) is an algorithm in numerical analysis. When solving differential equations or nonlinear equations, its core feature is that the solution at the current moment depends not only on historical data but also on the unknowns at the current moment. Specifically, the implicit algorithm establishes a system of equations containing the unknown variables at the current moment and uses iterative methods (such as the Newton-Raphson method) to gradually approximate the true solution.

[0032] TrueGrid is a professional pre-processing software for grid generation, mainly used in the fields of finite element analysis (FEA) and computational fluid dynamics (CFD). Its core function is to quickly generate high-quality structured grids for complex geometric models, supporting engineers to optimize the grid division efficiency and accuracy in simulation pre-processing.

[0033] LS-DYNA is a finite element analysis software widely used in nonlinear dynamics simulation, and its material model library covers a variety of behavior simulations from basic elasticity to complex composite materials.

[0034] This application discloses a bionic vehicle flexible lithium battery layout topology optimization method based on the joint simulation of LS-DYNA and TureGrid. AsFigure 1 As shown Figure 1 is the working process of the entire system. In this application, TureGrid is used to implement parametric modeling, which can quickly change the structural parameters of the pectoral fin of the bionic vehicle and the layout method of the flexible lithium battery on the pectoral fin. LS-DYNA is used to implement fluid-structure interaction simulation. Based on the combination of ICFD and implicit calculation, the process of the pectoral fin driving the battery deformation during movement in seawater is simulated, and the force conditions of the flexible lithium-ion battery at different positions on the pectoral fin are obtained. This application also compares the simulated stress results of the lithium battery before and after optimization, continuously iteratively optimizes the battery layout topology method, selects the structural scheme with the best mechanical properties, and achieves the goals of improving the mechanical properties of the flexible lithium battery, increasing the design efficiency, and reducing the design cost. The above method not only helps to improve the overall performance of the vehicle, but also promotes innovation in the design of energy systems in bionic technology, provides strong support for marine scientific research and monitoring, and enables the vehicle to perform exploration and monitoring tasks for a longer time and more stably.

[0035] The following further describes in detail the method for optimizing the layout topology of the flexible lithium battery of the bionic vehicle based on joint simulation in combination with the drawings and specific embodiments.

[0036] Referring to Figure 1 , Figure 1 is the flowchart of the method for optimizing the layout topology of the flexible lithium battery of the bionic vehicle based on joint simulation provided by the first embodiment of this application. It should be noted that this method can be executed by the processor in the bionic vehicle. The method for optimizing the layout topology of the flexible lithium battery of the bionic vehicle based on joint simulation may include:

[0037] S10. Obtain the structural parameters of the pectoral fin of the manta ray-like vehicle, and process the structural parameters of the pectoral fin through TureGrid software to obtain a parametric pectoral fin model.

[0038] Among them, the processor can construct a simplified mathematical model of the manta ray pectoral fin fin surface, Figure 2 is the analysis diagram of the battery area carried by the underwater vehicle. The unilateral pectoral fin of the manta ray is triangular, and the thickness of the pectoral fin can be ignored compared with the span and chord length of the pectoral fin. The processor can also establish a parametric fin plate model according to the simplified mathematical model. The parametric fin plate model is as Figure 3 shown. The processor can construct a parametric skin structure. The parametric skin structure is as Figure 4 shown.

[0039] Exemplarily, the processor establishes a pectoral fin parametric model through TureGrid software and adjusts the structural parameters of the pectoral fin finite element model according to the actual structural parameters of the manta ray-like vehicle. Refer to Figure 2, the surface shape of the fin plate is triangular. The length of the fin plate is about 300 mm, and the lengths of the two long fin strips are 250 mm and 200 mm respectively. The width of the fin strip is 16 mm, and the thickness is about 2 mm. The fin strip is made of carbon fiber material, and empty grooves are evenly distributed on the fin strip. The width of the empty groove is 2 mm, and the length of the empty groove gradually increases to reduce the stiffness of the fin strip. It should be noted that the cross-sectional shape of the skin is similar to a water droplet shape. The length of the skin is about 300 mm, and the thickness of the skin is about 2 mm. The upper surface of the skin is triangular and is made of silicone material. The processor sets the grid size of the upper and lower surfaces to 4 mm, and the grid size of the outer surface to 2 mm.

[0040] S20. Based on the material model in LS-DYNA software, construct a fully homogenized model of the wavy flexible lithium battery monomer and the geometric parameters of the fully homogenized model. Process the geometric parameters through TureGrid software to obtain a parameterized homogenized battery model.

[0041] The flexible lithium battery in this embodiment is a wavy stress-resistant flexible lithium battery, as Figure 5 shown, Figure 5 is the parameterized model of the wavy flexible lithium battery established by the processor. The parameters of the parameterized model of the wavy flexible lithium battery are the second set of parameters. The processor can adjust the length of the battery, the width of the wavy flexible lithium battery, the thickness of the wavy flexible lithium battery, the waveform radius of the wavy flexible lithium battery, and the number of waves in the parameterized model by adjusting the second set of parameters.

[0042] The processor can adopt the material model provided by LS-DYNA software to establish a fully homogenized model of the flexible lithium battery monomer. Among them, the fully homogenized model can include a crushable foam model, a honeycomb model, and a Gurson model.

[0043] Exemplarily, the processor adopts the 126th honeycomb aluminum material model provided by LS-DYNA software to establish a fully homogenized model of the flexible lithium battery monomer. Specifically, the battery length of the wavy stress-resistant flexible lithium battery is 60 mm, the battery width is 16 mm, the battery thickness is 2 mm, the waveform radius is 2 mm, and the number of waves is 30. The processor can set the initial grid size of the fully homogenized model of the flexible lithium battery monomer to 1 mm.

[0044] S30. Import the parameterized homogenized battery model and the parameterized pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and use the ICFD solver to simulate the flapping motion of the parameterized pectoral fin model in seawater, and calculate the stress distribution of the flexible lithium battery when the parameterized homogenized battery model follows the parameterized pectoral fin model to do flapping motion in seawater through implicit calculation.

[0045] In an embodiment of the present application, before using the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, the topology optimization method for the flexible lithium battery layout of the bionic vehicle based on co-simulation may further include the following execution process:

[0046] Set the mesh of one side interface of the pectoral fin as the inlet flow velocity boundary condition, and set the meshes of the remaining side interfaces as the pressure boundary conditions to simulate the infinite sea area;

[0047] Individually adaptively refine the fluid domain mesh near the side interface of the pectoral fin, and update the fluid domain mesh according to the set number of iterations.

[0048] Among them, the processor can use the incompressible flow solver ICFD to numerically simulate the flow field in the fluid-structure interaction algorithm. Exemplarily, the processor can set the mesh of one side interface as the inlet flow velocity boundary condition, and set the inlet flow velocity as the seawater flow velocity, and set the meshes of the remaining side interfaces as the pressure boundary conditions to simulate the infinite sea area.

[0049] To accelerate the simulation speed and ensure the calculation accuracy at the same time, the processor can individually refine the fluid domain mesh near the side interface of the pectoral fin. And the processor can add an adaptive function to re-mesh the grid. The processor can calculate the number of iterative steps for the adaptive function to re-mesh the grid, and the processor can set that the fluid domain mesh is automatically updated every ten iterations.

[0050] In an embodiment of the present application, before using the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater and calculating the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model to flap in seawater through implicit calculation, the topology optimization method for the flexible lithium battery layout of the bionic vehicle based on co-simulation may further include:

[0051] Set the contact constraints between the battery of the parametric homogenized battery model and the fin rays of the parametric pectoral fin model. Set the contact constraints between the fin plate and the skin of the parametric pectoral fin model, and between the top of the parametric homogenized battery model and the skin. Set the velocity load to be applied to the fin plate. Set the boundary constraints of the fin plate. Set the total duration of the simulation calculation. Set the seawater pressure to be loaded during the dead time, and load the velocity load after loading the seawater pressure.

[0052] Specifically, the shell element algorithm is used for both the fin plate and the skin model of the parametric pectoral fin model, and the solid element algorithm is used for the battery in the parametric homogenized battery model. Figure 6 The shown is the finite element model of the battery mounted on the pectoral fin. The processor can simulate the strong fluid-structure coupling situation of the pectoral fin flapping in water by combining implicit calculation.

[0053] In an embodiment of the present application, the processor may set the first set of parameters and the second set of parameters, that is, the parameters of the skin, fin plate, and fin model materials, and set the parameters of the homogenization model adopted by the battery. The processor may set the contact constraints between the parameterized homogenization battery model and the fins of the parameterized pectoral fin model, and at the same time set the contact constraints between the fin plate and the skin, and between the top of the battery and the skin, to prevent penetration during movement.

[0054] Then, the processor may set the velocity load to be applied to the fin plate, and set the boundary constraints of the fin plate, and the processor may simulate the movement of the fin plate driven by the servo.

[0055] After that, the processor may also set the total duration of the simulation calculation. It should be noted that if the processor applies the seawater pressure condition at the beginning, it will cause the flow field to be disordered and the simulation to be unstable. Therefore, the processor may first set the dead time to apply the seawater pressure, and then apply the velocity load, and use the output results of the full cycle to characterize the deformation law of the fin plate swing, so as to analyze the force condition of the lithium battery.

[0056] After that, the processor may simulate the working condition of the vehicle at a water depth of 0.1 m and a seawater flow velocity of 0.1 m / s through the fluid-structure interaction algorithm of LS-DYNA software.

[0057] It should be noted that ICFD has the function of automatically generating the computational domain grid. For a three-dimensional model, only the surface grid needs to be input. The fluid boundary surface grid is defined through the keyword "MESH_SURFACE_ELEMENT", and then the fluid boundary surface grid Part is defined through "ICFD_PART". Then, these parts are referenced through "MESH_VOLUME" to form a closed body. In this way, LS-DYNA software can automatically generate the computational grid of the fluid domain inside the closed body. One side boundary surface grid is set as the inlet flow velocity boundary condition to simulate the working condition of a seawater flow velocity of 0.1 m / s, and the rest of the boundary surface grids are all set as the pressure boundary condition to simulate the infinite sea area. The pressure magnitude is set to "1025×9.807×ℎ", where h is the seawater depth. The part where the fluid contacts the solid is set as the fluid-structure interaction boundary, and it is required that the Lagrangian component and the Euler component fit tightly. The seawater material model parameters are defined, the density of seawater is set to 1025 kg / m3, and the area outside the fluid-structure interaction boundary is filled with seawater.

[0058] After that, the processor can set the grid size growth scaling factor to 2.0, that is, the maximum grid size allowed by the grid generator when generating the computational domain grid is twice the size of the boundary surface grid. At the same time, to ensure the simulation accuracy, the processor can refine the fluid domain grid near the boundary surface of the pectoral fin, set the number of boundary layer grid layers to 4, the grid thickness to 0.01, and the boundary layer grid progression ratio to 0.8S. During the actual execution process, the processor can use the ICFD solver to rezone the grid, set the minimum and maximum sizes of the rezoned grid, calculate the number of iteration steps, and set the fluid domain grid to be automatically updated every ten iterations of the ICFD solver.

[0059] In an embodiment of the present application, when calculating the stress distribution of the flexible lithium battery when the implicit calculation parameterized homogenized battery model follows the parameterized pectoral fin model to flutter in seawater, both the fin model and the skin model in the parameterized pectoral fin model adopt the shell element algorithm, and the parameterized homogenized battery model adopts the solid element algorithm.

[0060] Specifically, the processor can use the implicit algorithm to calculate the motion of the structural part. The processor can import the finite element models of the fin, skin, and battery into the implicit algorithm. Among them, both the fin and skin models use the shell element algorithm, and the battery uses the solid element algorithm. The advantage of this is that the number of grids is small and the calculation efficiency is high. The processor can set the thicknesses of both the fin and the skin to 2 mm and set the boundary to fit tightly with the ICFD fluid-structure coupling boundary surface.

[0061] S40. Update the parameters of the parameterized pectoral fin model and the parameterized homogenized battery model respectively to obtain a new parameterized pectoral fin model and a new parameterized homogenized battery model, and iteratively calculate the stress distribution of the flexible lithium battery according to the previous step, and output the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution

[0062] In an embodiment of the present application, the process of updating the parameters of the parameterized pectoral fin model to obtain a new parameterized pectoral fin model may include the following execution process:

[0063] By adjusting the first set of parameters, adjust the width of the fin of the fin model in the parameterized pectoral fin model, the distance between the fin and the skin, the length of the fin rays, the stiffness of the fin rays, the relative position of the fin rays on the fin, and the grid size of the fin.

[0064] By adjusting the second set of parameters, adjust the length, width, thickness, internal width of the skin, and grid size of the skin of the skin model in the parameterized pectoral fin model.

[0065] Based on the fin covered by the skin with adjusted parameters, a new parameterized pectoral fin model is obtained.

[0066] Specifically, the processor can directly adjust the width of the fin plate of the fin plate model in the parametric pectoral fin model, the spacing between the fin plate and the skin, the length of the fin rays, the stiffness of the fin rays, the relative position of the fin rays on the fin plate, and the mesh size through parameters. The parameters in the parametric skin structure are the second set of parameters, and the processor can directly adjust the length, width, thickness, internal width of the skin of the skin model in the parametric pectoral fin model, and the mesh size by adjusting the second set of parameters.

[0067] In an embodiment of the present application, updating the parameters of the parametric homogenized battery model to obtain a new parametric homogenized battery model may include the following execution process:

[0068] By adjusting the third set of parameters, the length, width, thickness, waveform radius, and number of waves of the wavy flexible battery are adjusted to obtain a new parametric homogenized battery model. Among them, the parametric homogenized battery model may include: a crushable foam model, a honeycomb model, and a Gurson model.

[0069] Exemplarily, the processor can set the model material parameters in the LS-DYNA software. The second set of parameters is the length, width, thickness, internal width of the skin, and the mesh size of the skin. Exemplarily, before adjusting the second set of parameters, the processor can set the skin to use silicone material, the density range is 1.1 - 1.12 g / cm3, the elastic modulus range is generally between 1 - 1000 MPa, and the Poisson's ratio range is 0.45 - 0.55. The first set of parameters includes the width of the fin plate, the spacing between the fin plate and the skin, the length of the fin rays, the stiffness of the fin rays, the relative position of the fin rays on the fin plate, and the mesh size of the fin plate. Similarly, before adjusting the first set of parameters, the processor can set the fin plate and fin rays to use carbon fiber, the density range is approximately 1.8 g / cm3, the elastic modulus range is greater than 2.1×105 MPa, and the Poisson's ratio is 0.307. The battery uses a homogenized model, the density is 2.9 g / cm3, the elastic modulus is approximately 2000 MPa, and the Poisson's ratio is 0.35. The processor can set the contact part between the two ends of the battery and the fin rays to be a fixed connection to prevent the bottom arc part of the battery from penetrating the mold during calculation, resulting in simulation failure. The processor can set the contact algorithm for the bottom arc of the battery and the battery, so that when the fin plate moves, it will drive the skin to move. The processor can set the contact algorithm for the skin of the entire fin plate, and at the same time set the contact algorithm for the part where the top of the battery contacts the skin to prevent penetration during movement.

[0070] Similarly, the third set of parameters includes: the length, width, thickness, waveform radius, and number of waves of the wavy flexible battery.

[0071] In addition, the processor also needs to set the speed load. When the bionic vehicle operates in water, the servo drive causes the fin to flap up and down. The processor can simplify this motion to a circular motion of the fin around the central axis, with the angular velocity changing according to the sine function law. When the vehicle operates normally, the flapping frequency of the pectoral fin is about 0.3. To simulate more extreme working conditions, the rotation frequency of the fin is set to 1.0, and the rotation angle is 50°. The loaded speed curve equation is as follows:

[0072]

[0073] wherein, r represents the rotation phase angle, T represents the rotation period, t represents the time.

[0074] The processor can load the speed load on the fin. Select a neutral axis on the fin and let the entire fin perform a circular motion around this neutral axis to simulate the motion of the fin driven by the servo. During the motion of the fin, due to the action of water, the fin will translate. To avoid this situation and meet the requirement that the fin is fixedly connected to the vehicle, the processor can apply constraints in the x, y, and z directions on one side of the fin to prevent slippage during the motion of the fin.

[0075] Exemplarily, when simulating, the processor sets the total calculation duration to 2.1 s, and the fin moves for two cycles with a duration of 2 s. Since the initial loading of the seawater pressure conditions will cause the flow field to be disordered and the simulation to be unstable, the processor sets the first 0.1 s of the simulation for loading the seawater pressure, and after 0.1 s, the speed load is loaded, and the fin drives the skin to start rotating. During the two cycles of the fin swinging, the deformation basically tends to be stable. The processor can characterize the deformation law of the fin swinging according to the output results within the two cycles to analyze the force condition of the lithium battery.

[0076] Figure 7 Figures 16 and 17 are the 16 working condition diagrams of the battery placed on the pectoral fin. Each time the battery moves 10 mm on the fin ray is considered as one working condition, with a total of 16 working conditions, as shown in Fig. 18; the placement interval of the battery on the second fin ray is studied. The total length of the fin ray is 200 mm, the initial placement position of the battery is 60 mm from the front end of the fin ray, and the total placement interval is 80 mm. Each time the battery moves 5 mm on the fin ray is considered as one working condition, with a total of 16 working conditions. Analyze the stress distribution of the flexible lithium battery under 32 working conditions, Figure 8 as shown; Figure 9 and Figure 10 are the stress nephograms of the battery for the full cycle.

[0077] Compare the stress magnitudes. As shown in Fig. 20, iteratively solve for the optimal topological structure of the battery layout on the pectoral fin, Figure 11 as shown; Figure 11It is the stress iteration optimization curve. Compared with the position of the maximum stress of the battery, the stress is reduced by about 60% at the optimal position.

[0078] In summary, the present application proposes a topology optimization method for the layout of flexible lithium batteries of a bionic vehicle based on joint simulation, which realizes the automatic iterative optimization of the topology simulation analysis of the flexible lithium battery layout through parametric modeling, speeds up the simulation analysis efficiency, and improves the topology optimization accuracy. Compared with the prior art, the effective effect of the present application is that the proposed method combining ICFD and implicit calculation can speed up the fluid-structure interaction simulation efficiency and improve the simulation accuracy. Through parametric modeling, the rapid change of the layout structure of the flexible lithium battery on the vehicle can be realized, the iterative optimization of the topology structure based on the simulation results can be achieved, the cost of the structural design is reduced, the stress concentration problem of the flexible lithium battery under the condition of long-term high-frequency bending of the flapping wing is improved, and the energy efficiency of the manta ray-like vehicle is improved.

[0079] In another embodiment provided by the present application, there is also provided a topology optimization device for the layout of flexible lithium batteries of a bionic vehicle based on joint simulation to solve the same technical problems as the method embodiment. The device may include a pectoral fin model construction module, a battery model construction module, a stress calculation module, and a topology distribution output module. Among them, the pectoral fin model construction module is used to obtain the pectoral fin structure parameters of the manta ray-like vehicle, and process the pectoral fin structure parameters through TureGrid software to obtain a parametric pectoral fin model; the battery model construction module is used to construct a fully homogenized model of the wavy flexible lithium battery monomer based on the material model in LS-DYNA software, as well as the geometric parameters of the fully homogenized model, and process the geometric parameters through TureGrid software to obtain a parametric homogenized battery model; the stress calculation module is used to import the parametric homogenized battery model and the parametric pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and use the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, and calculate the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model to make a flapping motion in seawater through implicit calculation; the topology distribution output module is used to update the parameters of the parametric pectoral fin model and the parametric homogenized battery model respectively to obtain a new parametric pectoral fin model and a new parametric homogenized battery model, and iteratively calculate the stress distribution of the flexible lithium battery according to the previous step, and output the optimal result of the topology of the flexible lithium battery layout when the stress distribution of the flexible lithium battery on the bionic vehicle is the optimal solution.

[0080] In another embodiment provided by the present application, there is also provided a device. The device includes a processor and a memory. At least one instruction, at least one program, a code set, or an instruction set is stored in the memory, and at least one instruction, at least one program, a code set, or an instruction set is loaded and executed by the processor to implement the method of the passive synthetic aperture algorithm based on R-L deconvolution beam domain processing in the embodiments of the present application.

[0081] In another embodiment provided by the present application, a computer-readable storage medium is further provided. At least one instruction, at least one program, a code set or an instruction set is stored in the storage medium. The at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the passive synthetic aperture algorithm method based on R-L deconvolution beam domain processing in the embodiments of the present application.

[0082] In the above embodiment, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes a plurality of computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center that includes a plurality of available media integrated. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)), etc.

[0083] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0084] Each embodiment in this specification is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, they are described relatively simply, and the relevant parts can refer to the description of the method embodiments.

[0085] The above are only the preferred embodiments of this application, and do not limit the patent scope of this application. Any equivalent structure or equivalent process transformation made by using the content of this application's specification and drawings, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of this application.

Claims

1. A topology optimization method for the layout of flexible lithium batteries of a bionic vehicle based on co-simulation, characterized in that The steps are as follows: Obtain the pectoral fin structure parameters of the manta ray-inspired vehicle, and process the pectoral fin structure parameters through TureGrid software to obtain a parametric pectoral fin model; Based on the material model in LS-DYNA software, construct a fully homogenized model of the wavy flexible lithium battery monomer and the geometric parameters of the fully homogenized model. Process the geometric parameters through TureGrid software to obtain a parametric homogenized battery model; Import the parametric homogenized battery model and the parametric pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and use the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater. Implicitly calculate the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model to perform flapping motion in seawater; Update the parameters of the parametric pectoral fin model and the parametric homogenized battery model respectively to obtain a new parametric pectoral fin model and a new parametric homogenized battery model. Iteratively calculate the stress distribution of the flexible lithium battery according to the previous step, and output the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution.

2. The method for topologically optimizing the layout of a flexible lithium battery for a bionic vehicle based on co-simulation according to claim 1, wherein, Update the parameters of the parametric pectoral fin model to obtain a new parametric pectoral fin model, including: By adjusting the first set of parameters, adjust the width of the fin plate of the fin plate model in the parametric pectoral fin model, the distance between the fin plate and the skin, the length of the fin rays, the stiffness of the fin rays, the relative position of the fin rays on the fin plate, and the grid size of the fin plate; By adjusting the second set of parameters, adjust the length, width, thickness, internal width of the skin, and grid size of the skin of the skin model in the parametric pectoral fin model; Based on the fin plate covered by the skin after parameter adjustment, obtain a new parametric pectoral fin model.

3. The method for topologically optimizing the layout of a flexible lithium battery of a bionic vehicle based on co-simulation according to claim 1, wherein The parameters of the parametric homogenized battery model are updated to obtain a new parametric homogenized battery model, including: By adjusting the third set of parameters, adjust the length, width, thickness, waveform radius, and number of waves of the wavy flexible battery to obtain a new parametric homogenized battery model.

4. The method for topologically optimizing the layout of a flexible lithium battery of a bionic vehicle based on co-simulation according to claim 1, characterized in that, The parametric homogenized battery model includes: A crushable foam model, a honeycomb model, and a Gurson model.

5. The method for topology optimization of the layout of a flexible lithium battery for a bionic vehicle based on co-simulation according to claim 1, characterized in that, Before using the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, the method further includes: Set one side boundary grid of the pectoral fin as the inlet velocity boundary condition, and set the remaining side boundary grids as the pressure boundary condition to simulate the infinite sea area situation; Individually adaptively refine the fluid domain grid near the pectoral fin boundary surface, and update the fluid domain grid according to the set number of iterations.

6. The method for topologically optimizing the layout of a flexible lithium battery for a bionic vehicle based on co-simulation according to claim 1, wherein, Before using the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater and implicitly calculate the stress distribution of the flexible lithium battery when the parametric homogenized battery model follows the parametric pectoral fin model to perform flapping motion in seawater, the method further includes: Set the contact constraint between the battery of the parametric homogenized battery model and the fin rays of the parametric pectoral fin model; Set the contact constraints between the fin plate and the skin of the parametric pectoral fin model, and between the top of the parametric homogenized battery model and the skin; Set the speed load to be applied to the fin plate; Set the boundary constraints of the fin plate; Set the total duration of the simulation calculation; Set to apply the seawater pressure during the dead time, and apply the speed load after applying the seawater pressure.

7. The method for topologically optimizing the layout of a flexible lithium battery of a bionic vehicle based on co-simulation according to claim 1, wherein When calculating the stress distribution of the flexible lithium battery during the flapping motion of the parametric homogenous battery model following the parametric pectoral fin model in seawater through implicit calculation, both the fin plate model and the skin model in the parametric pectoral fin model adopt the shell element algorithm, and the parametric homogenous battery model adopts the solid element algorithm.

8. A flexible lithium battery layout topology optimization device for a bionic vehicle based on co-simulation, characterized in that It includes: A pectoral fin model construction module, configured to obtain the pectoral fin structure parameters of the manta ray-inspired vehicle, and process the pectoral fin structure parameters through TureGrid software to obtain a parametric pectoral fin model; A battery model construction module, configured to construct a fully homogenized model of the wavy flexible lithium battery monomer based on the material model in LS-DYNA software, and the geometric parameters of the fully homogenized model, and process the geometric parameters through TureGrid software to obtain a parametric homogenous battery model; A stress calculation module, configured to import the parametric homogenous battery model and the parametric pectoral fin model into the fluid-structure interaction algorithm of LS-DYNA software, and use the ICFD solver to simulate the flapping motion of the parametric pectoral fin model in seawater, and calculate the stress distribution of the flexible lithium battery during the flapping motion of the parametric homogenous battery model following the parametric pectoral fin model in seawater through implicit calculation; A topology distribution output module, configured to update the parameters of the parametric pectoral fin model and the parametric homogenous battery model respectively to obtain a new parametric pectoral fin model and a new parametric homogenous battery model, and iteratively calculate the stress distribution of the flexible lithium battery according to the previous step, and output the optimal result of the flexible lithium battery layout topology when the stress distribution of the flexible lithium battery in the bionic vehicle is the optimal solution.

9. A computer-readable storage medium, characterized in that, It includes instructions that, when running on a computer, cause the computer to execute the method for optimizing the layout topology of the flexible lithium battery of the bionic vehicle based on joint simulation according to any one of claims 1 to 7.

10. An electronic device, characterized in that, The electronic device includes: At least one processor, a memory, and an input-output unit; Wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the method for optimizing the layout topology of the flexible lithium battery of the bionic vehicle based on joint simulation according to any one of claims 1 to 7.

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