Simulation Modeling Method Research Articles

Study on Predicting Liquid Production Profile in Horizontal Wells Considering the Mechanism of Annular Flow Resistance and Water Control

The coated particle ICD water control technology has been widely used in horizontal well completion in offshore oil fields in recent years, but there is a lack of research on the simulation and prediction methods for liquid production profiles. By analyzing the dynamic inflow process of fluid, starting from the laws of momentum conservation and mass conservation, a coupled mathematical model of horizontal well reservoir wellbore pressure drop considering the mechanism of annular flow resistance was established, and solved through programming. Based on the actual well data of a certain block in an offshore oilfield, a horizontal well reservoir production model was established. The calculation results of the example show that the annular flow resistance and water control technology can effectively control the balanced liquid production of horizontal wells, thereby increasing the anhydrous oil recovery period and improving the oil recovery rate of the oilfield; The coupling model simulation and prediction method can fully reflect the mutual influence between the oil reservoir, wellbore annulus, ICD, and horizontal wellbore; The effective diameter of the ICD valve affects the changes in oil production and water content. The placement of the ICD well section has a significant effect on water control, and the compactness of the filled particles has a certain impact on pressure and water content changes.

Characterization of Sand and Dust Pollution Degradation Based on Sensitive Structure of Microelectromechanical System Flow Sensor.

The effect of sand and dust pollution on the sensitive structures of flow sensors in microelectromechanical systems (MEMS) is a hot issue in current MEMS reliability research. However, previous studies on sand and dust contamination have only searched for sensor accuracy degradation due to heat conduction in sand and dust cover and have yet to search for other failure-inducing factors. This paper aims to discover the other inducing factors for the accuracy failure of MEMS flow sensors under sand and dust pollution by using a combined model simulation and sample test method. The accuracy of a flow sensor is mainly reflected by the size of its thermistor, so in this study, the output value of the thermistor value was chosen as an electrical characterization parameter to verify the change in the sensor's accuracy side by side. The results show that after excluding the influence of heat conduction, when sand particles fall on the device, the mutual friction between the sand particles will produce an electrostatic current; through the principle of electrostatic dissipation into the thermistor, the principle of measurement leads to the resistance value becoming smaller, and when the sand dust is stationary for some time, the resistance value returns to the expected level. This finding provides theoretical guidance for finding failure-inducing factors in MEMS failure modes.

System of automated monitoring and forecasting of the remaining resource of pipeline transport

This article presents a system of automated monitoring and forecasting of the residual resource of pipeline transport, consisting of a developed and manufactured information and diagnostic complex for monitoring the technical condition of pipeline transport and software. Informative frequency ranges for monitoring the technical condition of pipeline transport are determined. Experimental studies have been conducted to confirm the effectiveness of the developed technical solution. The paper considers the problems of reliability of pipeline transport. The analysis of existing methods for assessing the technical condition of pipelines is carried out. A system of automated monitoring and forecasting of the residual resource of pipeline transport has been developed. Experimental studies have been conducted. The methods of circuit and simulation modeling, the theory of automatic control, experimental planning, decision-making, probabilistic and statistical methods of mathematical processing and the method of finite element analysis were used in the performance of the work. Based on the resultsof the study, a new methodology for assessing the technical condition of pipeline transport has been developed.

Mechanical simulation and debonding risk analysis of OLED panels with optically clear adhesives

This paper presents a mechanical simulation model and analysis method for OLED panels. The functional layers within the panel are bonded using optically clear adhesives (OCAs), which are pressure-sensitive adhesives (PSAs), resulting in a soft interface bonding problem. It was discovered that the normal tensile debonding strength of OCAs was significantly lower than the shear debonding strength. To address this issue, a three-layer structure simulation model of “hard + soft + hard” is established, which allows for analyzing the screen folding problem of any radius. Additionally, a suitable element mesh generation strategy for multi-layer structure screens is proposed. A debonding risk index based on pressure is introduced by comparing the interlaminar normal and maximum principal stress. The influence of thickness, bending radius, and Young’s modulus on longitudinal stress and debonding risk index is examined. It is observed that the influence of thickness and Young’s modulus on debonding risk is non-monotonic, indicating the presence of an optimal solution. The high debonding risk area is located at the beginning of the folding mechanism and screen bonding. The proposed debonding risk index is not only applicable to OCAs but also to all PSA with similar structures.

RELIABLE OPERATION OF CYBER-PHYSICAL SYSTEM WITH ACCOMPANIED BY A DIGITAL TWIN

The reliability of cyber-physical systems (CPS) operation is based on the general problem minimization of multi-factor risks, the margin of permissible risk, the forecast of the destabilizing dynamics of risk factors, principles, hypotheses, and axioms that are directly related to the analysis of abnormal situations, accidents, and disasters. To ensure the reliable operation of the CPS, a digital twin is created, which accompanies the operation of the CPS throughout its life cycle. The design of digital twins is based on simulation modelling methods that provide the most realistic representation of a physical environment or object in the virtual world.

Agent-based modeling and optimization of the characteristics for research-and-production clusters

This paper presents a developed agent-based simulation model for the development of research-and-production clusters in Russia implemented with the use of high-tech enterprises located in four science cities (Troitsk, Obninsk, Pushchino and Protvino) as the case study. A new approach to modeling and optimization of gross metropolitan product (GMP) is proposed, taking into account the influence of the “gravity effect” on the redistribution of labor resources between developing science cities and appropriate enterprises united in single research and research-and-production clusters An important element of this approach is the formation of various scenarios for the strategic development of the research-and-production clusters being assessed and support for the possibility of choosing the most preferable scenario using an evolutionary optimization algorithm. An enlarged simulation model has been developed and implemented in AnyLogic describing the possible development trajectories of science cities with a corresponding change in the values of the most important characteristics: the number of economically active population, the number of research-and-production enterprises, the volume of products produced in high-tech sectors of the economy, GMP, etc. The designed framework is intended primarily for the management of research-and-production clusters implementing the strategy of innovative development. Such a framework uses methods of system dynamics and agent-based simulation modeling supported in the AnyLogic system, genetic optimization algorithms and GIS mapping for science cities, etc. to implement the required functionality. The approbation of the framework was completed with the use of real data published in the approved strategies of the relevant science cities development. As a result of the numerical experiments carried out, some recommendations were proposed for the development of the research-and-production clusters under study considering their mutual influence and the existing base of resources.

Модель информационно-телекоммуникационного взаимодействия между автоматизированными транспортными средствами в условиях неполного покрытия мобильными сетями

Objective: in order to improve safety, as well as optimize the path of movement in everyday life to reduce the time on the road, there are now more and more prerequisites for the introduction of highly automated and fully automated vehicles into various spheres of human life. This will optimize and improve the road system of the country as a whole, and most importantly — reduce accidents and, consequently, improve road safety. When implementing these vehicles, it is necessary to develop an algorithm for communication between different road users under different conditions and distances between objects. Methods: this study uses simulation modeling methods, the method of tabular and graphical data display, the method of factor analysis, methods of model experiment, as well as the method of expert assessments. Results: within the framework of the work, an algorithm has been developed for transmitting messages with different content and priority information between two highly automated / fully automated vehicles or a vehicle with an automated state infrastructure using various communication channels, as well as a simulation model based on it, which was created in the AnyLogic modeling environment. The use of different priorities allows you to guarantee the minimum delivery time of the most important messages containing information for vehicle management. As a result of the simulation, histograms of the probabilistic-temporal characteristics of the transmission of messages of various priorities and messages confirming their delivery were obtained using various communication channels. Practical significance: the simulation results make it possible to assess the quality and time of message delivery under specified conditions and to ensure effective transmission of information by changing the intensity and size of messages, the use of various communication channels and their speeds, and so on.

Release potential, neglected leakage and reduction countermeasures of COD and Ammonia in MSWLs

In order to eliminate the impact of the industrial revolution on the environment and improve the water ecological environment, pollutant discharge reduction is imperative. With the acceleration of global discharge reduction process, the huge pollutant release potential and potential environmental effects of municipal solid waste landfills gradually appear, but its release amount and intensity have not been quantitatively revealed. We propose a coupling method of parameter stochastic simulation and physical process model simulation to estimate the hidden leakage of large-scale regional municipal solid waste landfills, and provide a methodology for estimating the hidden leakage of landfills in other countries and even in the whole world by taking China, which has the largest amount of waste generation among developing countries, as an example. Prior to the implementation of stringent construction quality control and assurance management requirements, the average annual leachate generation potential over the entire life cycle of 2600 landfills in China was estimated to be 4.66 × 108 m3, in which the concentrations of COD and NH3-N are 5.38 × 102–6.48 × 104 mg/L and 6.10–3.50 × 103 mg/L, respectively, and the total amounts are 5.21 × 103–7.81 × 108 t and 8.09 × 102–6.65 × 107 t, respectively. About 14 % of these pollutants may leak into the environmental media through the landfill liner with the average number of holes of 21.5/ha. For different regions, the overall release, discharge and leakage of COD and NH3-N in East China account for 35.70 %, 36.68 % and 29.60 % respectively, making it the region with the highest potential for discharge and risk of leakage. Meanwhile, the implementation of mandatory regulations related to leachate generation and control has led to a significant reduction in the leakage of pollutants. For instance, comprehensively detecting and repair of holes in the impermeable liner has reduced the number of holes to 2/ha, resulting in a reduction of >90 % in the leakage of pollutants.

Моделирование работы газотурбинной установки SGT5-4000F с исследованием влияния режимных и климатических факторов на устойчивость горения в камере сгорания

When regulating gas turbine units, it is necessary to be confident in the stable combustion process in the combustion chambers, considering the dynamics of the processes and changes of external climatic factors. Many scientific studies are devoted to the problems of experimental research and mathematical modeling of processes in combustion chambers. The possibilities of flame failure, expansion of the lower limit of combustion, determination of the stable position of the flame front and other issues have been assessed. Even though the problem of design of mathematical models and their use remains relevant. The purpose of this research is to model and study the influence of operation and climatic factors on the stability of combustion in the combustion chamber of the SGT5-4000F gas turbine unit. The subject of the research is the SGT5-4000F gas turbine unit with a low-emission combustion chamber. The simulation model of the gas turbine unit has been developed in the environment of dynamic modeling of technical systems SimInTech. The research is carried out using theoretical methods of calculating fuel combustion, thermodynamic foundations of the theory of gas turbine engines, methods of mathematical and simulation modeling, as well as data from the archive of automated process control systems. A simulation model of SGT5-4000F gas turbine unit has been developed. It is distinguished by the ability to assess the proximity of the compressor operating mode to the stability limit and determine the boundaries of stable combustion procedure in the combustion chamber, considering environmental climatic factors. The authors have studied the stability of the compressor and combustion chamber. The results of the experimental studies of a gas turbine unit in the operating load range from 113 to 282 MW and in the range of outside air temperature from –12 to 30 °C have shown that the combustion process in the combustion chamber is unvarying over the entire operational stress spectrum. The results obtained are verified by comparing model values with technological parameters of a gas turbine unit taken from the archive of the power plant control system. The authors have assessed the influence of electrical load on the performance indicators of a gas turbine unit at outdoor temperatures of +30, +15 and –12 °C. According to the results of simulation modeling, the model of SGT5-4000F gas turbine unit is found to be adequate. The developed model can be used as a tool at the stage of functional and technological design of automated control systems for the development of effective automatic control systems.

A new elasto-visco-plastic damage model and numerical simulation method used for time-dependent behavior prediction of deep tunnel

Accurately predicting the time-dependent behavior of surrounding rock is crucial for supporting design, revealing the mechanism of lining cracking and understanding long-term stability in deep-buried tunnels engineering. Based on the component combination model method and continuous damage mechanics theory, a New Elasto-Visco-Plastic Damage (NEVPD) model was proposed considering the characteristics of viscoelastic-plastic and the damage evolution of rocks. Three groups of experimental data were used for validating the model, and the results indicate that the model can effectively describe the time-dependent deformation characteristics of rocks at different stress levels. The dynamic link computer application program of the NEVPD model was procured through the secondary development interface of the FLAC3D software, and its validity was ascertained through test simulations. By investigating the influence of stress levels on creep parameters, a creep simulation approach considering the impact of rock mass stress state on the creep parameters was proposed for used in the long-term stability analysis of underground rock engineering. Finally, the time-dependent behavior of deep tunnel was predicted using two simulation approaches (the traditional method and the proposed method) based on the Burger-Creep Viscoplastic (CVISC) model built-in FLAC3D and the NEVPD model. The findings suggest that the proposed tunnel creep simulation approach provides a more precise reflection of the local deformation features of the surrounding rock compared to traditional methods. The simulation outcomes based on the NEVPD model exhibit the highest agreement with the field monitoring data.

The influence of boundary effects on explosive damage and crack propagation in brittle materials

To investigate the influence of boundary effects on the damage and fracture characteristics of brittle materials under explosive loads, studies were conducted using explosive model experiments and simulation methods. The results indicate that the damage outcomes of single and double boundary models are significantly affected by the variation in the distance (Δl) between the explosion source and the boundary. When Δl is the same, more fragments are generated by the double boundaries. The circumferential tensile stress, produced by the superposition of incident and reflected stress waves at the boundary, is the primary cause for the continuation of crack propagation.

Разработка программного комплекса для испытания цифровых измерительных трансформаторов на вибростенде

The presented work examines a software package for monitoring the condition of a hydraulic servo drive with hydrostatic guides as part of a diagnostic vibration stand for digital transformers. The service life of digital instrument transformers is 25 years, and the calibration interval is 8 years. To achieve such high performance characteristics, it is necessary to conduct a large number of tests for such products. One such test is the vibration test. The uniqueness of the hydraulic drive used in the diagnostic vibration stand lies in its long service life under operational loads (up to 100 million cycles). This reliability is achieved with special hydrostatic guides in the hydraulic drive design and requires special software. The architecture of the software complex for the vibration stand has been created. To test the functionality of the package, simulation modeling of the operation of the components of the software package was performed. Aim. Based on the analysis of the functioning of technological equipment and options for implementing control software, develop the architecture of a software package for implementing a system for condition monitoring of a servo hydraulic drive with hydrostatic guides as part of a diagnostic vibration stand for digital transformers. Materials and methods. The stated scientific problems were solved using methods of system analysis, computer, mathematical and simulation modeling of the interaction of the software complex with the components of the servo hydraulic drive with hydrostatic guides. Results. The main practical result of the research is the development of the architecture of a software package for testing digital instrument transformers on a vibration stand. It is proposed to use cross-platform solutions when implementing the complex software and rely on modern experience in using freely distributed software. Conclusion. The developed architecture of the software package is focused on ensuring the automated operation of servo hydraulic drives, allows you to configure all the necessary equipment parameters, monitor the condition of the equipment using digital data transfer protocols, centrally save and replicate hydraulic drive settings for specific operating conditions on the enterprises. Analysis of implementation options showed that the use of a SCADA system simplifies the process of developing standard projects for dispatch control and data collection and condition monitoring, but at the same time, it has increased complexity at the stage of deployment and operation. The functionality of none of the widespread and reliable SCADA systems covers all the requirements for this project. This particularly applies to USB connectivity and high frequency signal processing required by design requirements. In addition, when using universal SCADA systems, the end user must purchase a license for the RunTime SCADA component.

МОЖЛИВОСТІ ЗАСТОСУВАННЯ ЗАРУБІЖНОГО ДОСВІДУ У ПРОЦЕСІ УПРАВЛІННЯ ФІНАНСОВИМИ РЕСУРСАМИ ВІТЧИЗНЯНИХ ПІДПРИЄМСТВ

The article considers the need for the formation and use of financial resources for the need for effective functioning of modern enterprises. The need of domestic enterprises to improve the management of their financial resources is analyzed. It was determined that there are a number of ways of managing the financial resources of economic entities, which make it possible to increase the efficiency of the use of funds. The global practice of modern cash flow management, which is based on such theoretical models as V. Baumol's model, the Miller-Orr model, B. Stone's model, and the method of simulation modeling or statistical tests, is studied. It is noted that the successful implementation of cash flow optimization directions at the business level requires appropriate measures to be taken on a national scale as well. Measures are proposed that will contribute to the optimization of cash flows and the activation of entrepreneurship. Special attention is paid to such a way of managing financial resources as planning. It is noted that the world experience of developed countries proves that planning can be replaced by forecasting only in the conditions of a country in which the economy functions successfully and the general economic condition is stable. It is proven that the management of financial resources of French, German and English companies is carried out taking into account certain factors influencing the formation and management of the structure of financial resources of business entities. These factors include the level of financial risk, financial stability, tax burden, and financial management features. It is proven that the management of financial resources of French, German and English companies is carried out taking into account certain factors influencing the formation and management of the structure of financial resources of business entities. These factors include the level of financial risk, financial stability, tax burden, and financial management features.

Fracture characteristic and support effect around deep lined tunnels using CGP-FDEM simulation and field investigation analysis

The lining is one of the main methods of support and is chosen as the primary support for composite and reinforced roadways during mining excavation. Systematic investigations into the supportive effect of lined roadways in deep weak rock masses are highly desirable to improve support design and enhance roadway stability. The fracture characteristics and deformation are more prominent in the lining failure and damage to the surrounding rock. For investigations into the fracture mode and failure characteristics of the lining support, this study proposed a lining element support model in the graphics processing units (GPU) parallel combined finite-discrete element method (FDEM) program using compute unified device architecture (CUDA), referred to as CGP-FDEM. The lining element model and excavation simulation method are implemented in the CGP-FDEM aim of simulation large-scale rock fractures in underground excavations. On this basis, the simulation of deep roadway excavation is performed under various support conditions, including low-strength and high-strength shotcrete, steel arch, and U-profile yieldable steel. Further, a comparative analysis is conducted between the field investigation and simulation results, focusing on fracture-fragmentation and large deformation of the surrounding rock, as well as the failure and fracture mode of the lining elements. Results of individual support effects indicate that the reinforcement conditions mainly affect the excavation damaged zone (EDZ) and the deformation of the surrounding rock. Rock fragmentation and buckling intensify the large deformation and instability of the roadway. Fracture evolution and instability of the surrounding rock can easily occur in weak areas due to severe stress concentration and the accumulation and release of energy. Based on the analysis, the principle of "uniform reinforcement of reactive force throughout the entire section" is proposed to alleviate stress concentrations and maintain the overall stability of the excavation space.

A framework for conceptualising hybrid system dynamics and agent-based simulation models

The growing complexity of systems and problems that stakeholders from the private and public sectors have sought advice on has led systems modellers to increasingly use multimethodology and to combine multiple OR/MS methods. This includes hybrid simulation that combines two or more of the following methods: system dynamics (SD), discrete-event simulation, and agent-based models (ABM). Although a significant number of studies describe the application of hybrid simulation across different domains, research on the theoretical and practical aspects of combining simulation modelling methods, particularly the combining of SD and ABM, is still limited. Existing frameworks for combining simulation methods are high-level and lack methodological clarity and practical guidance on modelling decisions and elements specific to hybrid simulation that modellers need to consider. This paper proposes a practical framework for developing a conceptual hybrid simulation model that is built on reviews and reflections of theoretical and application literature on combining methods. The framework is then used to inform and guide the process of conceptual model building for a case study in controlling the spread of COVID-19 in care homes. In addition, reflection on the use of the framework for the case study led to refining the framework itself. This case study is also used to demonstrate how the framework informs the structural design of a hybrid simulation model and relevant modelling decisions during the conceptualisation phase.

Study of Low-Velocity Impact Behavior of Hybrid Fiber-Reinforced Metal Laminates.

In this paper, the low-velocity impact behavior and damage modes of carbon/glass-hybrid fiber-reinforced magnesium alloy laminates (FMLs-H) and pure carbon-fiber-reinforced magnesium alloy laminates (FMLs-C) are investigated using experimental, theoretical modeling, and numerical simulation methods. Low-velocity impact tests were conducted at incident energies of 20 J, 40 J, and 60 J using a drop-weight impact tester, and the load-displacement curves and energy-time curves of the FMLs were recorded and plotted. The results showed that compared with FMLs-C, the stiffness of FMLs-H was slightly reduced, but the peak load and energy absorption were both greatly improved. Finally, a finite element model based on the Abaqus-VUMAT subroutine was developed to simulate the experimental results, and the damage modes of the metal layer, fiber layer, and interlayer were observed and analyzed. The experimental results are in good agreement with the finite element analysis results. The damage mechanisms of two kinds of FMLs under low-velocity impacts are discussed, providing a reference for the design and application of laminates.

Simulation modeling of infrastructure objects as a management tool of intelligent transport system

Nowadays, the formation of intelligent transportation systems is taking place, allowing to increase the efficiency of transportation through the use of innovative technologies. Methods and means of simulation modeling have gained considerable popularity among them, allowing to increase the accuracy of forecasting and efficiency of management decisionmaking. The purpose of this article is to develop the directions of application of simulation modeling in the field of passenger transport infrastructure management. The article presents the results of applied research using simulation modeling tools of passenger transport infrastructure objects. Based on these results, the effects of using simulation modeling methods in the management of passenger transport system are systematized. In order to achieve the research goal, a review of scientific works was conducted, the areas of application of simulation modeling in the management of passenger transport infrastructure were specified, the effects of using simulation modeling methods and tools were analyzed and generalized. The results of the research can be useful to transport organizations, state regulation bodies on transport and organizers of transportation. They can be used in the construction of scenarios for the development of transport infrastructure objects to improve the quality of service to the population and to ensure the effectiveness of management decisions on transport.

The influence of random factors on the estimation of the speed and time of rolling cuts from sorting humps

The main direction of increasing efficiency and safety of the work of sorting humps is the management automation of breaking-up of trains. The difficulty of solving this problem is due to the fact that it is solved in the absence of accurate information about the running characteristics of the cars, the parameters of their routes of rolling and environmental conditions. In addition to this, car retarders implement given modes with errors. The purpose of this study is to assess the influence of various random factors on the indicators of cars rolling from the sorting humps. The research was carried out using methods of simulation modeling, planning of factorial experiments and statistical analysis. As a result, it was established that the main factors affecting the mean square deviation of the time of the cars rolling are the distance of unregulated rolling and the specified speed of the cut leaving the car retarders. The research results make it possible to improve algorithms for determining braking modes for retarders in the absence of accurate information to solve the problem.

A new method for simulation modelling of leaner remanufacturing in PaaS settings

The application of simulation technologies (STs) in the industry 4.0 paradigm can accelerate the implementation of the circular economy (CE) in companies by faster modeling and optimization of value retention processes (VRPs), such as remanufacturing or refurbishment. In business practices, the efficiency of the collection of used products and their recovery for a new or extended lifecycle is influenced by a high level of uncertainty. The product-as-a-service (PaaS) model might change the boundary conditions, which will decisively influence the operational factors such as time for a disassembly, and material recovery rate. The state-of-the-art in commercial simulation software (e.g., FlexSim, Simio, Arena) is based on the object-oriented approach, which requires that users must build the model themselves from a set of objects (object libraries), which is effective for a traditional linear process but is less suitable for multiple flow of a product between PaaS contracts. Remanufacturing in PaaS for consumer markets is currently a niche practice, due to the difficulties of providing its economic viability. Lean management practices are promising in lowering the cost of remanufacturing. The aim of this paper is to develop a new method for simulation modeling using a high-level script language, similar to those used by industry experts, according to lean remanufacturing principles under PaaS conditions. This novel method is built on the user-centric principle. Thus, it enables to build the simulation models and to use them by decision-makers in business practice who are not specialists in simulation modeling and do not have programming competences. The library of reference processes for remanufacturing in PaaS is defined with the industrial partners.

ЦИФРОВОЙ ДВОЙНИК ЭЛЕКТРОПРИВОДА ГРУЗОВОГО ТРИЦИКЛА ДЛЯ ТРАНСПОРТИРОВКИ СЕМЯН

One of the most important directions of the development of the agricultural sector is the renewal of tractor and road transport for agricultural purposes, which is due to the predominance of manual labor on loading and unloading and transport operations, increased labor intensity of processes. The methods of selecting the optimal characteristics of vehicles are focusing on the average power characteristics, as well as the average values of the economic indicators of a particular vehicle. The paper is devoted to the study and optimization of the parameters of an electric cargo vehicle depending on the set conditions of the transport task of an agricultural enterprise by the method of simulation modeling. (Research purpose) The research purpose is to obtain optimal traction-power and energy-economic characteristics of the vehicle through simulation of the performance of the transport task of harvesting breeding grain at an agricultural enterprise. (Materials and methods) Conducted a study of simulation simulation of the transport cycle for harvesting breeding grain by a vehicle to identify the optimal parameters of the electric drive and batteries. It was determined that the simulation model contains the parameters of the transport cycle in the form of the distances of the track segments, the required speed of movement, the characteristics of the road surface, as well as the characteristics of the vehicle chassis and the weight with the load. Traction-speed and energy-economic characteristics of an electric vehicle were chosen as objects of research. (Results and discussion) The result of the simulation simulation was the dependence of the required power of the electric motor, taking into account its overload capacity, on the conditions of external factors of the transport cycle. (Conclusions) The analysis of the battery discharge made it possible to establish a minimum capacity of 80 ampere-hours for the full performance of the entire transport task of harvesting breeding grain. The function of overloading the motor twice for a given time of two seconds is justified in order to reduce the required rated power of the electric motor.