Output Power Of Motor Research Articles

Thermal performance of counterflow wet cooling tower filled with inclined folding wave packing: An experimental and numerical investigation

Improve the heat transfer performance of cooling tower packing in the field of energy saving and environmental protection is of great significance, this study proposes a kind of inclined folding wave packing, using experimental research and numerical calculations combined method to study the heat and mass transfer characteristics of inclined folding wave packing, the results show that: inlet wind speed rises, the cooling tower approximation reduced from 4.38 °C to 2.78 °C; when the gas to water mass ratio increases from 0.322 to 1.019, the cooling number from 1.115 to 1.754; when the gas to water mass ratio of 0.54, the height of the packing from 0.915 m to 1.830 m, the cooling number from 1.15 to 1.64, the height of the packing to enhance the channel of the gas-liquid heat transfer effect. Compared with the traditional ramp packing, the cooling efficiency of the developed inclined folded wave packing is improved by 15.32 %. Combined with the actual engineering test found that the packing height can be increased to reduce gas to water mass ratio and air volume requirements, up to 28 % of the air volume can be saved. The motor output power of 1.830 m high inclined folding wave packing in actual operation is 0.268 kW, compared with 0.915 m high inclined folding wave packing, the difference in energy consumption is 0.246 kW. Inclined folding wave packing can not only improve the overall performance of the cooling tower, but also significantly reduce energy consumption, which can guide the engineering practice.

ANALISIS PERBANDINGAN DESAIN MOTOR INDUKSI 12 KW DENGAN MEMVARIASI JUMLAH SLOT PADA ROTOR

– The industry and transportation technology that continues to growing every year. The electric motor driven drive reduces the use of fossil fuels. Induction motors receive special attention in the general public because of their superior efficiency and compatibility compared to other types of motors, such as low cost, flexibility, easy to control. However, designers face difficulties in designing Induction Motors with high torque, power factor, efficiency and varying number of slots and rotors with special performance, high efficiency and better operational features. This study proposes choice of design type Induction Motors. The design process and analysis program use the Simcenter Motorsolve application. Design model for Induction Motor with output power 12 Kw 50 Hz. The design process focuses on the best analysis of the torque, efficiency, output power, and power factor of the induction motor, with a value of stator slot 24, rotor slot 24, 36, 48 in Simcenter Motorsolve. The performance of the designed motor is analyzed in conditions that are not good, good and very good. The results obtained using the Simcenter Motorsolve application show that the resulting design is accurate and effective.

A Mathematical Model for Dynamic Electric Vehicles: Analysis and Optimization

In this article, we introduce a flexible and reliable technique to simulate and optimize the characteristics of a Dynamic Electrical Vehicle (DEV). The DEV model is a discrete event-based modeling technique used in electrical vehicle research to improve the effectiveness and performance of various electrical vehicles (EVs) components. Here, the DEVS model is applied to EV research in several ways, including battery management optimization, evaluation of power train design and control strategy, and driver behavior analysis. The essential power train elements, including the battery, motor, generator, internal combustion engine, and power electronics are included in the mathematical model for the dynamic electric vehicle. The model is derived using the conservation of energy principle. The model includes mathematical equations for the electrical power output, battery charge level, motor torque, motor power output, generator power output, internal combustion engine torque, mechanical power delivered to the generator, and the efficiencies of the power electronics, motor, generator, and engine. The model is examined by using a numerical method called the Runge–Kutta Method of order 4 for dynamic electric vehicle’s performance under various driving states for maximum effectiveness and performance. It is revealed that the DEV model provides a systematic method to simulate and optimize the behavior of complex EV systems.

Investigating the Role of Stator Slot Indents in Minimizing Flooded Motor Fluid Damping Loss

This research examines how fluid damping loss affects the operation of a two-pole, 5.5 HP (4 kW) induction machine (IM) within the context of different slot opening configurations developed for downhole water pump applications. Since these motors operate with their cavities filled with fluid, the variations in fluid viscosity and density, compared to air, result in the occurrence of damping losses. Furthermore, this loss can be attributed to the motor’s stator and rotor surface geometry, as the liquid within the motor cavity moves unrestrictedly within the motor housing. This study involves the examination of the damping loss in a 24-slot IM under different stator slot indentations. The investigation utilizes computational fluid dynamics (CFD) finite element analysis (FEA) and is subsequently validated through experiments. The aim of this work is to emphasize the significance of fluid damping loss in submerged machines. Results reveal that the damping loss exceeds 8% of the motor output power when the stator surface has indentations, and it diminishes to 3.2% of the output power when a custom wedge structure is employed to eliminate these surface indentations.

Energy analysis of vibratory penetration of large-scale steel cylinders

Vibratory penetration was successfully used to install 120 integral thin-walled steel cylinders 22 m in diameter in the Hong Kong-Zhuhai-Macao Bridge. However, the eight-hammer group was found overpowered at the western island and underpowered at the eastern site due to insufficient understanding of the mechanisms of vibratory piling. In this study, energy analysis was conducted to reveal the energy characteristics of vibratory penetration, including the periodical energy superposition along the cylinder shaft, the continuous energy consumption in the soil, and the dynamic equilibrium of the total energy. The influences of vibratory soil resistance and loading frequency on the energy distributions have been thoroughly discussed. In contrast to the notion that larger input energy leads to a faster penetration, it is revealed that the vibratory penetration velocity positively correlates to the energy stored in the cylinder, the ratio of kinetic to strain energy, and the characteristic frequencies of the soil-pile system. The actual output power of the vibratory motors is influenced by the vibratory force, the ultimate soil resistance, and the soil mobilization degree. The vibration frequency is optimized as 31.1 Hz for Cylinder E9 and 15 Hz for Cylinder W36 to ensure efficiency and safety.

Intelligent Diagnosis Model of Working Conditions in Variable Torque Pumping Unit Wells Based on an Electric Power Diagram

Because of the problems, such as the lack of an electric power diagram atlas under different working conditions and the difficulty in intelligent diagnosis of variable torqued pumping unit wells, this paper proposes a diagnosis model of working conditions based on feature recognition. The mathematical relationship model between the polished rod load and motor output power is derived based on the analysis of geometric structure, motion law, and process of energy transformation and transfer of the variable torque pumping unit. It can calculate the electric power diagram based on a dynamometer card. On this basis, the electric power diagram atlas is created, and the feature analysis and eigenvalue extraction of the electric power diagrams under different working conditions are carried out to realize the direct diagnosis of the working conditions in the variable torque pumping unit wells. The application and analysis of examples show that the electric power diagram atlas created in this paper has good practicability, and the working condition diagnosis model accuracy is high. It can provide a theoretical basis and technical support for the intelligent diagnosis of oil production working conditions and improve the intellectual management level of the oilfield, which is conducive to reducing production management costs and improving the oilfield’s production efficiency and benefits.

IMPROVISASI TORSI DAN EFISIENSI PADA REDESAIN MOTOR BRUSHLESS DC HOVERBOARD BERDAYA DASAR 350W

In the future, hoverboards are becoming a widely used means of transportation because they are compact and more practical. The hoverboard is driven by an electric motor with a fairly low power. This paper focuses on the optimization of the hoverboard BLDC motor design. The focus of the design is done by changing the stator slot depth, stator tooth width, number of strands in hand, and number of turns by keeping the fill factor below 40%. Design optimization is carried out to obtain an increase in torque performance and efficiency which has an impact on the output power of the BLDC motor and the thermal increase that occurs. The research shows torque and efficiency improvisation on the redesign of the BLDC hoverboard motor with a power of 350W. The results of the study are comparisons of torque and efficiency from comparisons of electric motor designs. The resulting temperature is analyzed to see the effect of torque, power, and efficiency.

A Design Method of Traveling Wave Rotary Ultrasonic Motors Driving Circuit under High Voltage Using Single-Sided Hertzian Contact Forced Oscillator Model.

Traveling wave rotary ultrasonic motors (TRUMs) are widely used in various industrial processes due to their attractive features, such as compact structure, high accuracy, and fast response. However, the major limiting factors of the operational performance of TRUMs under high-voltage excitation are the nonlinear behavior caused by the nonlinearities of the piezoelectric materials and the friction between the stator and rotor of the motor. In this study, a nonlinear dynamics model and an identification method are presented to directly design the driver circuit for suppressing the nonlinear behavior under high voltage excitation. Firstly, by studying the time-frequency characteristics of the isolated electrode voltage, a single-sided Hertzian contact forced oscillator model of TRUMs is established, involving the nonlinearities of the piezoelectric material and friction. Secondly, a harmonic balance nonlinear identification is proposed in the time domain for TRUMs. The influence of the voltage and preload on the nonlinear phenomena is discussed. Lastly, a novel driver circuit is proposed to suppress the nonlinearities using feedback from the isolated electrode. Experiments showed that the total harmonic distortion decreased by 89.4% under 500 Vpp. The proposed drive circuit design method is used to find a high excitation voltage and preload to achieve greater motor output power.

Performance of compressed air energy storage system under parallel operation mode of pneumatic motor

Compressed air energy storage is a promising technology with the advantages of zero pollution, long lifetime, low maintenance, and minimal environmental impact. However, compressed air energy storage has some disadvantages, such as low efficiency and low energy density. A parallel operation mode of pneumatic motor is proposed in this study to improve the power performance, energy conversion efficiency, and economy of compressed air energy storage system. First, the test bench of compressed air energy storage system is established. Then, the influence of key parameters, such as current, rotating speed, and regulated pressure, on the output performance of compressed air energy storage system is investigated in this study. Afterward, the interaction among volume flow rate, rotating speed, torque, output power of pneumatic motor, and the current, voltage, and output power of the generator, as well their influence on one another, are discussed. Finally, the output performances of compressed air energy storage system when the pneumatic motor works alone and in parallel are compared and analyzed. The experimental results show that the power performance, energy conversion efficiency, and economy of compressed air energy storage system can be improved when the pneumatic motor works in parallel operation mode. The minimum compressed air consumption rate is 0.1369 g/J, the maximum power output is 818 W, the maximum efficiency of the generator is 88.7%, and the maximum efficiency of pneumatic motor is 6.5% when the pneumatic motor works in parallel operation mode.

Sensitivity-Based Topology Optimization of Squirrel-Cage Induction Motor in Time Domain Using Multi-Material Level-Set Method

Although the output power of an induction motor (IM) is generally lower than that of the interior permanent magnet synchronous motor, IMs are widely used in industrial world due to their solidity, low cost, self-starting, etc. For designing high-performance IMs, a computer-aided engineering approach using the finite-element method is essential. However, because a finite-element analysis of IMs takes a long time due to the long transient state in the time domain, it is difficult to perform the optimization using evolutionary algorithms. To overcome this difficulty, a sensitivity-based topology optimization (TO) method for IMs in the frequency domain was proposed. However, this method has a drawback: because the magnetic nonlinearity in the rotor and stator cores cannot be considered, the physical quantities also cannot be accurately estimated. To consider the magnetic nonlinearity in the TO of the IM, the sensitivity analysis with the rotor rotation of the IM using the time-domain adjoint variable method is proposed here. The proposed sensitivity analysis method for the steady state of the IM was evaluated, and it was applied to the TO of a squirrel-cage IM. The effective rotor structure, which is composed of the iron core and secondary conductor, was derived from the multi-material level-set method.

Maximum Torque Operation of Open-Winding Induction Motor Dual Drives Using a Floating Capacitor Bridge in the Field Weakening Region

A field weakening controller is presented that extends the speed range of a dual inverter drive using a floating capacitor bridge. The controller utilizes the stator current reference frame to decouple the motor demand into active and reactive components. This is used so that the main bridge supplies the real power and the floating bridge supplies the reactive power until the floating bridge reaches its maximum voltage. The main bridge is then used to supply some of the reactive demand, which in turn adds additional voltage boost that is used to extend the drive’s constant power region, improve the motor speed acceleration performance, output power, and torque. It is found that the presented controller can increase the drive speed extension ratio to 9.2 times the base speed compared to 5 when always operating the main bridge at unity power factor. The motor maximum fundamental voltage is 1.82 p.u when compared to that of a single inverter drive. This controller performance is demonstrated experimentally using both transient and steady-state analysis. The controller is also compared with other two field weakening controllers using the same regulator tunings and experimental setup.

Energy Auditing in Three-Phase Brushless DC Motor Drive Output for Electrical Vehicle Communication Using Machine Learning Technique

Using predictive nonlinear optimal control, this model examines the output power of a three-phase brushless DC motor (BLDC) drive to ensure that it is stabilized (PNOC). A BLDC is a kind of electric motor that is used in a variety of applications and is one of the models of electric motors that are utilized in constant speed applications. In this motor, the movable component of the rotor created torque and the rotor rotated in a position of low reluctance; the location of the rotor is determined by the motor’s maximum inductance value. The BLDC drive controls the motor via the converter circuit, and the converter circuit ensures that the motor receives the appropriate output power. The project manager should have a thorough discussion with the team about the demagnetization of the malfunctioning BLDC motor before beginning this job. It is possible to model a machine using many existing technologies, such as electrical equivalent circuit diagram (EEC), which are based on a number of assumptions that make the analysis process or the analysis approach simpler. Despite numerical methodologies, these approach scenarios give frequency domain loop (FDL) precision frequency domain, using a suitable weight strategy to deliver high power solution creation (NM). The purpose of this essay is to integrate these two technologies in order to make contributions via the development of a new hybrid EEC-FDL model closed-loop brushless DC motor. PNOC is a driving system that uses predictive nonlinear optimal control (PNOC). The generated model is subjected to simulations under both healthy and incorrect settings, respectively. MATLAB software is utilized to construct the simulation of the control circuit, and simulation outputs are validated by experimental findings. Predictive nonlinear optimal control (PNOC) is employed to eliminate torque ripple and improve system stability.

Research on Output Voltage Stability of Non-Contact Excitation Motor

In recent years, electric vehicles have developed rapidly. However, many electric cars are equipped with permanent magnet synchronous motors. Permanent magnet synchronous motors have several disadvantages: For example, permanent magnets tend to demagnetize at high temperatures. Electrically excited synchronous motors have several excellent properties. First, they are cheaper because the stator and rotor of the motor only need to be wound, which is more affordable than permanent magnets for speed regulation. When the armature current reaches the maximum value, the excitation current can also be adjusted for speed regulation, which makes the speed regulation more flexible. In the case of a short circuit, the corresponding direct-axis current is smaller than the quadrature-axis current, so the fault tolerance is better. Since the traditional electric excitation motor has brushes and slips rings, sparks will be generated during commutation. Therefore, a new excitation method is adopted to make non-contact motor excitation, and the motor operation is safer and more environmentally friendly. At the same time, to ensure that the output power of the non-contact electric excitation motor remains stable, a step-down circuit and power-type fast discrete terminal sliding mode control are added after the full-bridge rectifier circuit to make the excitation current and voltage output of the motor more stable. That is, the output power reaches a steady production. In this paper, an improved sliding mode control algorithm is used to stabilize the output voltage of the non-contact excitation motor, which can still ensure the stable output of the voltage when the equivalent load changes. It is confirmed that the non-contact excitation motor can be applied to various complex situations, and the proposed algorithm is simulated and experimentally verified to verify the accuracy of the proposed algorithm.

Analisis Pemodelan Dinamik Motor Sinkron Tiga Fasa Pada Percobaan Tegangan Tidak Seimbang

The problem that often arises lately in electrical motors is the occurrence of voltage imbalances. Unbalanced voltage is an unequal voltage value in a three-phase voltage system contained in an electric power system. On the basis of these problems, it is necessary to conduct research that can analyze the dynamics of the performance of synchronous motors. The frame of reference theory is used to analyze the performance of both synchronous and induction motors. This study implements the modeling of the transformation on the natural axis abc and the transformation on the dq0 axis of the stator and rotor variables in the coordinates of the reference frame. The results of this study indicate that the voltage imbalance from 1% to 5% at the electromagnetic torque has decreased from 8.5 Nm to 6 Nm, the stator current in one phase has increased from 44.2 amperes to 45.2 amperes, the motor rotation speed has decreased from 1820 rpm to 1570 rpm, motor output power decreased from 25550.05 watts to 18968.45 watts, and power efficiency decreased from 98.24% to 82.43%.

Real-time optimal EMS of adaptive charge sustenance for fuel cell hybrid buses based on driving characteristics recognition

To improve the service lifetime and fuel economy of fuel cell hybrid buses (FCHB), it is extremely important to establish a reasonable energy management strategy (EMS). Therefore, an optimization-based EMS for dual-energy systems is proposed in this paper. Specifically, the proposed strategy is realized via pontryagin’s minimum principle (PMP), which can solve the problems that include inaccurate estimation of the motor output power, the difficulty of SOC adaptive sustenance and real-time application of the algorithm. First, we analyze the driving characteristics of bus routes based on real bus driving data, and solve the optimal co-state values of the historical driving segments (DSs) by dividing driving cycle (DC) and DS. Then, the motor output power and the density-based spatial clustering of applications with noise (DBSCAN) algorithm are employed to predict the co-state value of the next DS. Thereafter, the real-time application of the PMP algorithm is achieved by using predicted co-state and analyzing the SOC adaptive sustenance item during the FCHB runs. The comparisons between real bus experiments and the simulations of five EMSs are conducted to validate the effectiveness. Results demonstrate that our strategy can reduce hydrogen consumption by 6.6% on average versus the rule-based strategy, the fluctuation range of SOC is less than 2%, the mean absolute error (MAE) between the initial and final SOC is 0.10%, and the fuel cell has less lifetime decay. Moreover, our strategy has the same excellent performance compared with the strategy under known driving conditions. In addition, the online computation time per step of the proposed real-time strategy is averaged at 34.8 ms, less than the sampling time interval 1 s. Therefore, the real-time performance of our strategy will contribute to the promotion and application of FCHBs.

Calculation of transient temperature and rated capacity of three-phase induction motor under different working systems

This paper aims to propose a method to determine the temperature rise and rated capacity of induction motors under different working systems. A dynamic mathematical model, a 3D temperature field model, and finite element method are used to analyze the electromagnetic loss and transient temperature rise, respectively. The influence of the motor starting process on the temperature rise is taken into account, which resolves the complex loading of transient heat source. The maximum allowable running times for the motor operating with different overloads are determined. The relationship between the motor output power and the allowable running time is obtained, and it provides a basis to determine the rated capacity of motor under S2 working system. The relationship between the motor output power and the temperature rise under different load duration rates is also obtained and provides reasonable evidence to determine the rated capacity of the motor under S3-working system.

Research on Drilling Rate Optimization of a UCS Identification System While Drilling for Coal Mine Roadway Roofs

In this paper, to identify the roof unconfined compressive strength (UCS) in the process of coal mine roadway support in real-time and optimize the real-time drilling speed while drilling, this paper proposes and establishes a drilling test method for assessing the uniaxial compressive strength (UCS) of a roof. This method can be used to optimize the speed of drilling. Moreover, a mathematical model of the power output is developed for a roof-strata identification system with a drilling test system. The results were as follows: (1) the system was able to identify the uniaxial compressive strength of roof rock; (2) the pressure of the drill leg of the pneumatic bolt did not match the output power of the pneumatic motor, the pneumatic motor could not reach the maximum power point, and the insufficient thrust of the pneumatic leg led to failure of the maximum output power of the pneumatic motor; (3) to increase the output power of the air motor and thus improve the drilling speed, we applied a booster valve for the system. The experimental results show that the power of the air motor has a linear relationship with drilling speed. In this way, the speed of the drill can be increased by increasing the motor power.

A real-time PMP energy management strategy for fuel cell hybrid buses based on driving segment feature recognition

Establishing a reasonable energy management strategy (EMS) is the key to improve the service durability, power performance and fuel economy of the fuel cell hybrid electric vehicle (FCHEV). This paper obtains energy distribution optimal solution for the fuel cell hybrid bus (FCHB) based on Pontryagin's minimum principle (PMP) algorithm, and the problems of inaccurate estimation of motor power and difficult real-time application are solved. Firstly, the driving feature recognition is completed by collecting the motor output power directly when the FCHB stops at the station. On the basis of it, the sub-optimal co-state value is chosen. Secondly, the sub-optimal co-state is used to complete the real-time application of PMP algorithm in the driving segment. The results are acquired through the simulation and the actual comparison experiment, compared with rule-based simulation and rule-based actual experiment, the hydrogen consumption of the proposed strategy decreases by 20.3% and 28.9% on average. Moreover, the online computation time per step of the proposed strategy is 3.64 ms averagely, less than sampling time interval 1s. It is shown that the proposed method has lower hydrogen consumption rate and excellent real-time performance.

Modeling and Simulation of Single Battery Load Isolated Electric Vehicle Based on Simulink

The load isolation electric vehicle improves the range of electric vehicle, which separates the concept of power and energy, so that the engine can always work in the most economical operating area. Based on Simulink, a single battery load isolation electric vehicle model is established for a mini car. According to the requirements of vehicle performance indexes, the parameters of vehicle system model, gasoline generator set, battery pack and motor model were matched. In the process of accelerating the average speed to the set maximum speed, the battery voltage curve and the motor output power are analyzed. The analysis shows that the battery has no overvoltage danger and the motor does not exceed the peak power, thus verifying the feasibility and superiority of the model.

Energy Management Strategy of a Hybrid Power System Based on V2X Vehicle Speed Prediction.

Energy consumption in vehicle driving is greatly influenced by traffic scenarios, and the intelligent traffic system (ITS) has a key role in solving the real-time optimal control of hybrid vehicles. To this end, a new energy management control strategy based on vehicle-to-everything (V2X) communication for vehicle speed prediction was proposed to dynamically adjust the engine and motor power output according to the traffic conditions. This study is based on intelligent network connectivity technology to obtain forward traffic state data and use a deep learning algorithm to model vehicle speed prediction using the traffic state data. The energy economy function was modeled using the MATLAB/Sinumlink platform and validated with a plug-in hybrid vehicle model simulation. The results indicate that the proposed strategy improves the vehicle energy economy by 13.02% and reduces CO2 emissions by 16.04% under real vehicle driving conditions, compared with the conventional logic threshold-based control strategy.